Senior Data Scientist / Machine Learning Engineer

Quick Facts

• Role: Senior Data Scientist / Machine Learning Engineer

• Focus: Developing production-grade AI/ML solutions (ML, predictive modeling, optimization, NLP, computer vision, GenAI) and LLM-based applications

• Example projects: Airport operations optimization engine; AWS-powered LLM recommendation system

Description

You will develop, implement, and validate machine learning models to support business objectives, and design AI solutions for complex business challenges. You will translate client needs into data science problems, evaluate and select tools and AI solutions (including LLM approaches), and oversee data pipelines and workflows with standards for data quality and security. You will coordinate with engineering teams, communicate findings to stakeholders, and deliver within an Agile/Scrum framework.

Benefits

• Remote or office/coworking flexibility

• Career paths, knowledge-sharing, language classes, and sponsored training/conferences (including Databricks training materials and certifications)

• B2B or contract of mandate options; 20 fully paid days off

• Medical and sports packages, eye care, well-being support (including psychotherapy and coaching)

• Full work equipment (e.g., laptop and necessary devices)

• Opportunities to build your personal brand via conferences, blogging, and meetups

• Dedicated onboarding buddy and supportive, autonomous culture

• Team-building events and integration budget; celebrations for milestones