Machine Learning Engineer (B2B)

🏢 Summary: The role focuses on designing, building, and operating production-grade machine learning solutions using classical and deep learning models. You will develop end-to-end ML pipelines, ensure robust and reproducible deployments, and collaborate on technical solution design in a production environment. 🗂️ Requirements: University degree in Computer Science, Data Science, Mathematics or related field, Experience building and operating production-grade machine learning pipelines, Strong Python engineering skills with clean code practices, Experience with Git-based version control, Experience working with CI/CD pipelines, Experience with ML platforms and cloud-based ML environments, Fluent English, Fluent Polish, Availability to work in hybrid mode with 1–2 office visits per week 📃 Skills: Python, Git, CI/CD, Databricks, AWS, Azure, GCP, MachineLearning, DeepLearning 🏢 Description: Responsibilities As a Machine Learning Engineer with a focus on classical ML/deep-learning models, you are responsible for the technical design, implementation, and operation of productive ML solutions. You work in a tandem setup with an internal colleague who handles stakeholder management and overall coordination, allowing you to focus fully on modeling, pipelines, and technical execution. Design, train and optimize classical machine learning and deep-learning models for business-relevant use cases Build and maintain end-to-end machine learning pipelines covering data preparation, feature engineering, training, validation, deployment and monitoring Ensure robustness, performance and reproducibility of machine learning solutions in production environments Implement structured and versioned ML workflows supporting reliable model development and operation Collaborate closely with internal machine learning engineers and data teams on technical topics and solution design Benefits Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more. Language Courses – you'll have access to a multi-language learning platform enabling you to practice your language skills and learn new ones! Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development. Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions. Qualifications Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field Solid experience building and operating production-grade machine learning pipelines Strong Python engineering skills , including clean code practices and software engineering best standards Hands-on experience with Git-based version control and working with CI/CD pipelines as a user Experience with productive ML platforms and cloud-based ML environments (e.g. Databricks, AWS, Azure or GCP) Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week About OBI Smart Technologies WHO ARE WE: We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. OUR MISSION: " We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer. "

🏢 Summary: Machine Learning Engineer role focused on designing, deploying, and operating enterprise-grade classical ML and Generative AI solutions in hybrid cloud environments. The position involves building end-to-end ML pipelines, integrating LLM-based systems, and ensuring production stability and scalability. Candidates work closely with ML and data teams while concentrating on technical implementation and operational excellence. 🗂️ Requirements: Degree in Computer Science, Data Science, Mathematics or related field, Experience delivering Generative AI solutions, Understanding of LLM architectures and limitations, Strong Python engineering skills, Knowledge of clean code and software engineering best practices, Experience with Git-based version control, Experience working with CI/CD pipelines, Experience with ML and GenAI platforms, Experience with cloud environments, Fluent English, Fluent Polish, Availability for hybrid work with 1–2 office visits per week 📃 Skills: Python, Git, CI/CD, Databricks, AWS, Azure, GCP, LLM, GenAI, MachineLearning 🏢 Description: Responsibilities As a Machine Learning Engineer with a focus on classical ML as well as Generative AI, you are responsible for the technical design, implementation, and operation of enterprise-grade ML & GenAI solutions. You work in a tandem setup with an internal colleague who manages stakeholder communication and overall delivery, allowing you to concentrate on the technical realization, integration, and operational stability of ML & GenAI use cases. Design, train and optimize classical machine learning and Generative AI models for enterprise-grade use cases Build and maintain end-to-end ML and GenAI pipelines including data preparation, feature engineering, training, validation, deployment and monitoring Ensure robustness, performance and reproducibility of ML and GenAI solutions running in production Integrate LLM-based solutions using APIs and GenAI frameworks into existing system landscapes Collaborate closely with internal ML engineers and data teams on technical design, implementation and operational topics Qualifications Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field Practical experience delivering Generative AI solutions and a solid understanding of LLM architectures and limitations Strong Python engineering skills, including clean code practices and software engineering best standards Hands-on experience with Git-based code versioning and working with CI/CD pipelines as a user Experience with productive ML and GenAI platforms and cloud-based environments (e.g. Databricks, AWS, Azure or GCP) Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week. About OBI Smart Technologies WHO ARE WE: We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. OUR MISSION: " We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer. "

🏢 Summary: The role focuses on designing, implementing, and operating enterprise-grade Machine Learning and Generative AI solutions, with responsibility for end-to-end pipelines and production stability. The engineer works hands-on with classical ML and LLM-based systems, ensuring robust integration into existing enterprise environments. The position emphasizes technical ownership of ML & GenAI use cases in close collaboration with internal teams. 🗂️ Requirements: University degree in Computer Science, Data Science, Mathematics or related field, Practical experience delivering Generative AI solutions, Strong understanding of LLM architectures and limitations, Strong Python engineering skills with clean code practices, Hands-on experience with Git-based version control, Experience working with CI/CD pipelines, Experience with ML and GenAI platforms in cloud environments (Databricks, AWS, Azure or GCP), Fluent English and Polish, Availability for hybrid work (1–2 office visits per week) 📃 Skills: Python, MachineLearning, GenerativeAI, LLM, Git, CICD, Databricks, AWS, Azure, GCP, APIs 🏢 Description: Responsibilities As a Machine Learning Engineer with a focus on classical ML as well as Generative AI, you are responsible for the technical design, implementation, and operation of enterprise-grade ML & GenAI solutions. You work in a tandem setup with an internal colleague who manages stakeholder communication and overall delivery, allowing you to concentrate on the technical realization, integration, and operational stability of ML & GenAI use cases. Design, train and optimize classical machine learning and Generative AI models for enterprise-grade use cases Build and maintain end-to-end ML and GenAI pipelines including data preparation, feature engineering, training, validation, deployment and monitoring Ensure robustness, performance and reproducibility of ML and GenAI solutions running in production Integrate LLM-based solutions using APIs and GenAI frameworks into existing system landscapes Collaborate closely with internal ML engineers and data teams on technical design, implementation and operational topics Qualifications Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field Practical experience delivering Generative AI solutions and a solid understanding of LLM architectures and limitations Strong Python engineering skills, including clean code practices and software engineering best standards Hands-on experience with Git-based code versioning and working with CI/CD pipelines as a user Experience with productive ML and GenAI platforms and cloud-based environments (e.g. Databricks, AWS, Azure or GCP) Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week. About OBI Smart Technologies WHO ARE WE: We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. OUR MISSION: " We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer. "

🏢 Summary: Machine Learning Engineer role focused on designing, deploying, and operating enterprise-grade classical ML and Generative AI solutions. The position involves building end-to-end ML pipelines, integrating LLM-based applications, and ensuring production stability in cloud-based environments. The role includes hybrid work, ongoing training opportunities, and a flexible benefits platform. 🗂️ Requirements: Degree in Computer Science, Data Science, Mathematics or related field, Experience delivering Generative AI solutions, Knowledge of LLM architectures and limitations, Strong Python engineering skills, Experience with Git-based version control, Experience working with CI/CD pipelines, Experience with ML and GenAI platforms, Experience with cloud environments, Fluent English, Fluent Polish, Availability for hybrid work with 1–2 office visits per week 📃 Skills: Python, Git, CI/CD, Databricks, AWS, Azure, GCP, LLM, GenAI, MachineLearning 🏢 Description: Responsibilities As a Machine Learning Engineer with a focus on classical ML as well as Generative AI, you are responsible for the technical design, implementation, and operation of enterprise-grade ML & GenAI solutions. You work in a tandem setup with an internal colleague who manages stakeholder communication and overall delivery, allowing you to concentrate on the technical realization, integration, and operational stability of ML & GenAI use cases. Design, train and optimize classical machine learning and Generative AI models for enterprise-grade use cases Build and maintain end-to-end ML and GenAI pipelines including data preparation, feature engineering, training, validation, deployment and monitoring Ensure robustness, performance and reproducibility of ML and GenAI solutions running in production Integrate LLM-based solutions using APIs and GenAI frameworks into existing system landscapes Collaborate closely with internal ML engineers and data teams on technical design, implementation and operational topics Benefits Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more. Language Courses – you'll have access to a multi-language learning platform enabling you to practice your language skills and learn new ones! Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development. Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions. Qualifications Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field Practical experience delivering Generative AI solutions and a solid understanding of LLM architectures and limitations Strong Python engineering skills, including clean code practices and software engineering best standards Hands-on experience with Git-based code versioning and working with CI/CD pipelines as a user Experience with productive ML and GenAI platforms and cloud-based environments (e.g. Databricks, AWS, Azure or GCP) Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week. About OBI Smart Technologies WHO ARE WE: We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. OUR MISSION: " We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer. "

🏢 Summary: The offer is for a Machine Learning Engineer responsible for designing, implementing, and operating enterprise-grade Machine Learning and Generative AI solutions. The role focuses on building end-to-end ML and GenAI pipelines, integrating LLM-based solutions, and ensuring production robustness and performance. You will concentrate on technical delivery and system integration within cloud-based environments. 🗂️ Requirements: University degree in Computer Science, Data Science, Mathematics or related field, Practical experience delivering Generative AI solutions, Strong understanding of LLM architectures and limitations, Strong Python engineering skills, Experience with Git-based version control, Experience working with CI/CD pipelines, Hands-on experience with ML and GenAI platforms, Experience with cloud environments (AWS, Azure, GCP or Databricks), Experience building and operating production-grade ML systems 📃 Skills: Python, MachineLearning, GenerativeAI, LLM, Git, CICD, Databricks, AWS, Azure, GCP, APIs, MLOps 🏢 Description: Responsibilities As a Machine Learning Engineer with a focus on classical ML as well as Generative AI, you are responsible for the technical design, implementation, and operation of enterprise-grade ML & GenAI solutions. You work in a tandem setup with an internal colleague who manages stakeholder communication and overall delivery, allowing you to concentrate on the technical realization, integration, and operational stability of ML & GenAI use cases. Design, train and optimize classical machine learning and Generative AI models for enterprise-grade use cases Build and maintain end-to-end ML and GenAI pipelines including data preparation, feature engineering, training, validation, deployment and monitoring Ensure robustness, performance and reproducibility of ML and GenAI solutions running in production Integrate LLM-based solutions using APIs and GenAI frameworks into existing system landscapes Collaborate closely with internal ML engineers and data teams on technical design, implementation and operational topics Benefits Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more. Language Courses – you'll have access to a multi-language learning platform enabling you to practice your language skills and learn new ones! Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development. Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions. Qualifications Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field Practical experience delivering Generative AI solutions and a solid understanding of LLM architectures and limitations Strong Python engineering skills, including clean code practices and software engineering best standards Hands-on experience with Git-based code versioning and working with CI/CD pipelines as a user Experience with productive ML and GenAI platforms and cloud-based environments (e.g. Databricks, AWS, Azure or GCP) Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week. About OBI Smart Technologies WHO ARE WE: We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. OUR MISSION: " We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer. "

🏢 Summary: DevOps Engineer role focused on designing and maintaining AI-driven CI/CD pipelines and deploying machine learning models across cloud and hybrid environments. The position involves integrating AI/ML tools into DevOps processes, optimizing infrastructure for AI workloads, and ensuring security and high availability. The engineer will work with modern cloud platforms and data technologies in international, agile projects. 🗂️ Requirements: Bachelor’s degree in Engineering, IT, Science or related field, Minimum 5 years of experience in DevOps or similar role, Hands-on experience with DevOps tools in AI/ML workflows, Experience with cloud platforms and AI/ML services, Experience deploying and scaling ML models in production, Proficiency in scripting or programming languages, Experience implementing automated testing for AI workflows, Knowledge of secure environments for AI-driven systems 📃 Skills: Jenkins, GitHubActions, Kubernetes, Docker, Terraform, AWS, Azure, GCP, MLflow, Kubeflow, Airflow, Python, Bash, YAML, TensorFlow, PyTorch, Scikit-learn, Grafana, AIOps 🏢 Description: About the role As a DevOps Engineer with AI integration skills, you will collaborate across multiple implementation streams and work closely with agile teams to achieve project and client goals. We are looking for passionate engineers ready to move our projects to the next level by leveraging modern technology stacks and AI-driven solutions. You will participate in international projects based on the latest data technologies and cloud platforms. Your key responsibilities Design and maintain CI/CD pipelines incorporating AI/ML tools and frameworks. Collaborate with AI teams to deploy and scale machine learning models in production environments. Integrate AI-based monitoring, alerting, and analytics tools to improve pipeline visibility and enable predictive analysis. Optimize infrastructure resource utilization for AI applications across cloud, on-premises, and hybrid environments. Ensure strong security practices within AI-driven pipeline ecosystems. Troubleshoot pipeline and infrastructure issues, especially those involving AI components, and ensure high availability. Monitor system performance and implement improvements using AI-enhanced tools. Skills and attributes for success Hands-on experience with DevOps tools such as Jenkins, GitHub Actions, Kubernetes, Docker, and Terraform. Strong understanding of cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services. Familiarity with AI workflow tools such as MLflow, Kubeflow, or Airflow. Proficiency in scripting and programming languages (Python, Bash, YAML, etc.). Ability to implement automated testing frameworks for validating AI models and workflows. Experience building secure environments for AI-driven systems. Experience integrating AI-powered monitoring tools (AIOps, Grafana with ML plugins, or custom AI diagnostics). Requirements Bachelor’s degree in Engineering, IT, Science, or a related technical field. At least 5 years of experience in a corporate IT environment in a similar role. Proven experience with DevOps tools and frameworks used in AI/ML workflows. Strong communication skills and ability to collaborate with global teams. Nice to have Certifications in DevOps or AI/ML (e.g., Kubernetes, AWS Machine Learning Specialty). Experience working with AIOps platforms. Knowledge of specialized data pipeline automation tools for machine learning. Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn in production environments.

🏢 Summary: Software and Cloud Engineer role focused on building and evolving workflow automation and agentic engineering capabilities with gradual AI-driven enhancements. The position involves designing scalable BPMN-based orchestration solutions and enabling cloud-native adoption across teams. You will bridge product teams with a central AWS-based platform, ensuring secure, production-ready automation and infrastructure practices. 🗂️ Requirements: Completed degree in Computer Science, Data Science, Mathematics or related field, Strong software engineering experience, Proficiency in Python or TypeScript, Understanding of API design principles, Experience with microservices architectures, Hands-on experience with BPMN or workflow orchestration platforms, Practical experience with public cloud environments, Experience with containerization and deployment, Experience with CI/CD pipelines, Experience with Infrastructure as Code tools 📃 Skills: Python, TypeScript, AWS, Kubernetes, GitLab, Keycloak, BPMN, Docker, CICD, Terraform, Microservices, APIs, Cloud, Containers, Observability 🏢 Description: Responsibilities We are looking for a strong software and cloud engineer who wants to grow into AI-driven automation & agentic engineering. You will establish and evolve our Workflow Automation & Agentic Engineering capabilities at OBI Smart Technology Poland and gradually extend it with AI-driven enhancements where they add real value. You act as a technical bridge to our central core platform (AWS,  K8s, GitLab, Keycloak & many more) and help teams adopt modern automation and cloud practices in a structured, production-ready way. Your key responsibilities include: Contribute to architecture and structured integration of agentic capabilities into products and workflows, exploring emerging standards and patterns for agent-based systems. Design and implement scalable workflow orchestration solutions using BPMN - based platforms and modern automation tooling, combining deterministic logic with AI where beneficial. Enable cloud-native platform adoption by working hands-on with container orchestration , CI/CD pipelines , identity management and cloud infrastructure to support secure service delivery. Establish governance and operational excellence standards including observability , cost awareness , access management and secure deployment practices for workflow and AI solutions. Act as a platform ambassador by coaching teams on automation best practices, infrastructure as code, platform-native design and production-ready engineering approaches. Build local knowledge sharing practices through workshops, technical sessions and collaboration with global platform teams. Design and evolve Workflow Automation and Agentic Engineering capabilities while gradually introducing AI-driven enhancements that deliver measurable value. Benefits Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more. Language Courses – you'll have access to a multi-language learning platform enabling you to practice your language skills and learn new ones! Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development. Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions. Qualifications Completed university degree in Computer Science , Data Science, Mathematics or a related technical field. Strong software engineering background with practical proficiency in Python or TypeScript . Solid understanding of modern API design principles and microservices architectures . Hands-on experience or strong interest in workflow orchestration and automation platforms using BPMN or comparable technologies. Practical cloud engineering experience including containerization and deployment within public cloud environments. Experience with CI/CD pipelines and infrastructure as code tooling supporting automated delivery and scalable environments. Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week. About OBI Smart Technologies WHO ARE WE: We are a joint venture between OBI and Reply Group, responsible for co-designing, building and operating mission-critical digital platforms for commerce, customer service, and omnichannel retail. OUR MISSION: " We unite technology leadership with deep retail vision to implement standardized processes and scalable digital products that drive efficient support for one of Europe’s largest DIY retailers. Leveraging proven best practices, we advance the internationalization of products and the digital mindset of our partners, delivering consistent and business-critical solutions to support the targets of our customer. "

🏢 Summary: Senior Machine Learning Engineer role focused on developing and deploying deep learning solutions for prediction, planning, and control within an autonomous driving platform. The position involves leading experiments, building large-scale production ML systems, and collaborating with cross-functional teams to deliver industrial-grade models. It requires extensive experience in autonomous vehicles or robotics and deep expertise in modern ML frameworks and large language models. 🗂️ Requirements: BS/MS/PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Applied Math or related field, 15+ years of experience building ML systems for autonomous vehicles or robotics, Deep understanding of large language models and transformers, Hands-on experience building and deploying large-scale production ML systems, Experience with DNN training, inference and optimization, Strong mathematical foundation in machine learning and deep learning, Proven leadership and innovation track record 📃 Skills: Python, MachineLearning, DeepLearning, LLM, Transformers, PyTorch, TensorFlow, TensorRT, DNN, Robotics, AutonomousVehicles 🏢 Description: What you'll be doing: Researching, implementing, and evaluating deep-learning-based methods for prediction and planning for Autonomous Vehicle products. Leading, designing, running, and analyzing experiments and testing to evaluate the efficiency of solutions on real-world data. Partnering with system software engineering specialists to ship industrial strength ML models. Communicating and collaborating with multi-functional teams. What We're Looking For: BS/MS/PhD in computer science, electrical engineering, mechanical engineering, applied math, or related fields (or equivalent experience) 15+ years of proven experience building ML systems for autonomous vehicles or similar robotics applications Deep understanding of large language models (LLM) and transformers Hands-on experience building large scale production ML systems and deploying them at scale Excellent leadership and track record for innovation to help build the next generation of ML-based planning solutions Experience with deep neural network (DNN) training, inference and optimization in leading frameworks (Pytorch, Tensorflow, TensorRT, etc.) Excellent understanding of the mathematical foundations of machine learning and deep learning Bonus Points: Prior experience as a ML planning lead Proven publication record in ML for planning, vision, or related fields Prior experience building and deploying vision language action or chain of thought models Benefits: Salary range: $271,000—$373,000 USD (base salary) Eligibility to participate in benefits program including medical, dental, vision, 401k with company match, health savings accounts, life insurance, pet insurance, and more.

🏢 Summary: The role focuses on engineering production-grade AI features such as semantic search, intelligent assistants, and automated risk scoring by integrating external AI providers into a cybersecurity platform. You will own the full lifecycle from prototype to reliable, monitored production services, primarily using Python on Azure. This position emphasizes robust software engineering practices over model research or training. 🗂️ Requirements: 5+ years of professional experience building production systems in Python, Expert-level Python programming skills, Experience with ML frameworks and libraries, Proven experience shipping and operating production software, Experience integrating external APIs in production environments, Strong understanding of software architecture and design patterns, Practical experience with CI/CD pipelines, Experience with containerization using Docker, Understanding of AI/ML concepts including LLMs, embeddings, prompt engineering, RAG, Experience with unit and integration testing and mocking external services, Polish work permit, Professional proficiency in English 📃 Skills: Python, Azure, OpenAI, Anthropic, Docker, CI/CD, FastAPI, Flask, Pinecone, Weaviate, Chroma, .NET, REST, LLMs, RAG, Embeddings, Git 🏢 Description: About the Role As a Senior AI/ML Engineer you will be building AI-powered features at the core of our platform - semantic search, an intelligent assistant, automated risk scoring, and much more. We mainly integrate with external AI model providers (OpenAI, Anthropic, and others) to deliver these capabilities to our clients and internal users. This is a software engineering role, not a data science or ML research position. You won't train models from scratch or publish papers. You'll engineer production-grade systems that leverage AI to solve real cybersecurity problems. If you're a strong Python engineer excited about making AI reliable, maintainable, and impactful — we want to talk to you. We're looking for a versatile software engineer to own the journey from AI prototype to reliable production system: building robust integrations with external AI providers or fine-tuned models, standardizing our Python codebase and release pipelines, and ensuring our AI features meet the same quality bar as any other production service. What You'll Do Ship AI features end to end - from integration design through deployment to monitoring in production. You'll build and maintain Python services that power our AI-driven capabilities on Azure. Build production-ready AI / ML integrations - including retry logic, rate limiting, cost monitoring, fallback strategies, and abstraction layers that allow us to swap between model providers. Turn proofs of concept into reliable software - collaborate with our AI experts (who bring deep ML/data science expertise) to take working prototypes and engineer them into tested, documented, production-grade services. Standardize Python engineering practices - establish and evolve our code organization, testing strategies, CI/CD pipelines, and release processes for AI/ML features. Design clean service boundaries - our platform's core runs on .NET. You'll design and maintain well-defined APIs between the Python/AI layer and the rest of the system. Mentor and share knowledge - help other engineers grow their Python and AI engineering skills, and bring engineering rigor to the broader team's practices. Contribute to architecture decisions - work closely with other teams to shape how AI capabilities evolve within the platform. Who You Are Must-Haves 🔹 5+ years of professional experience building and maintaining production systems in Python. 🔹 Expert-level programming skills and proficiency with common ML frameworks and libraries. 🔹 A track record of shipping and operating software - not just building prototypes. You care about testing, monitoring, logging, and what happens after deployment. 🔹 Experience integrating external APIs in production systems - ideally AI/LLM provider APIs (OpenAI, Anthropic, Azure AI, or similar), but strong API integration experience in any domain counts. 🔹 Solid understanding of software architecture and design patterns - you have opinions about how to structure a Python project and can articulate trade-offs. 🔹 Practical knowledge of CI/CD pipelines, containerization (Docker), and modern development workflows. 🔹 A working understanding of AI/ML concepts - you know what embeddings, LLMs, prompt engineering, and RAG are. You can have a productive technical conversation with an ML specialist without needing every concept explained from scratch. 🔹 Experience with testing strategies - unit tests, integration tests, mocking external services. You instinctively write tests, not as an afterthought. 🔹 A highly adaptable, problem-solving and result-oriented mindset with the ability to work independently and take ownership in a fast-paced and dynamic environment. 🔹 Strong communication skills in English (our working language). 🔹 Willingness to learn continuously and share what you learn with the team. Nice-to-Haves 🔸 Experience with Azure cloud services. 🔸 Familiarity with FastAPI, Flask, or similar Python web frameworks. 🔸 Exposure to MLOps tooling or practices (model versioning, experiment tracking, feature stores). 🔸 Hands-on experience in Document AI / Intelligent Document Processing using traditional models and Generative AI. 🔸 Experience with vector databases (Pinecone, Weaviate, Chroma, or similar). 🔸 Any experience with .NET - helpful for cross-team collaboration, but not expected. 🔸 Background in or interest in cybersecurity as a domain. Your Team You'll join our Synapse team - a small, focused group responsible for all AI/ML capabilities within our platform. The team consists of: -> Team Leader / Architect - provides high-level architectural guidance, planning, and cross-stack delivery. -> AI / ML Engineer - deep expertise in AI/ML and data science. Your counterbalance: they bring the ML knowledge, you bring the production engineering discipline. -> AI / Backend Engineer - transitioning from .NET into AI engineering. A teammate you'll mentor and grow alongside. -> You - the person who bridges the gap between AI prototypes and reliable production systems. Why Join Us? / What We Offer: Competitive salary and benefits package. Remote work options and flexible working hours. Actual impact on the choice and shape of solutions developed. Opportunities for professional growth and development. Training and conference budget. A collaborative, innovative work environment with an iterative agile approach. The role is for six months with the possibility of extension. Both full-time and part-time cooperation are possible.

🏢 Summary: Machine Learning Engineer role focused on building and scaling entity resolution and knowledge graph models to uncover hidden connections within China’s economic landscape. The position involves developing, fine-tuning, and deploying ML models operating on tens of millions of records, as well as enhancing agentic workflows and large-scale data pipelines. You will collaborate cross-functionally to expand AI capabilities and integrate advanced analytics into a high-impact intelligence platform. 🗂️ Requirements: 4+ years of experience with clustering-based ML problems, Experience with knowledge graphs or entity resolution domains, End-to-end ML model development and production deployment experience, Experience with model experimentation, training, testing, tuning, and deployment, Strong Python programming skills, Strong SQL skills 📃 Skills: Python, SQL, Clustering, Classification, Regression, Embeddings, KNN, SVM, NLP, DeepLearning, PySpark, Temporal, FastAPI, Scikit-learn, NumPy, Docker, Terraform, Kubernetes, OCR 🏢 Description: About The Role: As a Machine Learning Engineer, you will work across data systems to uncover the source of truth behind China’s economic landscape. This role focuses on building models that power entity resolution and the knowledge graph, uncovering hidden connections within the Chinese economy. You will contribute to MCP servers and agentic pipelines to classify, cluster, and enrich millions of entities, while collaborating with engineering, product, and research to scale data ingestion and AI capabilities. What You'll Do: - Fine-tune entity resolution algorithms to uncover hidden connections between people and organizations - Expand the knowledge graph with alternative data to map power structures - Train, test, and deploy ML models operating on tens of millions of records daily - Define and implement evaluation harnesses for classical ML and agentic systems - Build agent workflows into internal tools to improve research scale and speed What We’re Looking For: - 4+ years of experience working on clustering-type ML problems (e.g., knowledge graphs, entity resolution, recommendation engines, cohort analysis, anomaly detection) - End-to-end production ML experience, including experimentation, training, testing, tuning, and deployment - Experience with model families such as clustering, classification/regression, dimensionality reduction, embeddings, nearest-neighbor methods (KNN, SVM), ensembles, NLP, and deep learning - Strong experience with Python and SQL Nice to Have: - Experience with frontier/SOTA models or fine-tuning LLMs - Experience working with large, heterogeneous, unstructured datasets - Experience with semantic search, computer vision (OCR), or linear optimization - Experience with PySpark, Temporal, FastAPI, Scikit-learn, NumPy, Docker, Terraform, Kubernetes - Early-stage startup experience - B2B SaaS experience Benefits & Perks: - Competitive compensation including salary and equity - 100% company-paid Medical, Dental, and Vision coverage - FSA, HSA, and 401(k) options - Generous paid time off and company-wide holidays - Pre-tax commuter benefits - Hybrid office schedule - Compensation range: $150K - $195K