Manager - AI Consulting

We are seeking an experienced Manager, AI Consulting, to design and implement data science solutions that address complex business challenges. You will partner with clients and internal teams to develop strategies that maximize the value of data insights and drive measurable outcomes. The role requires leadership, communication, creativity, and analytical thinking, along with the ability to translate business needs into actionable data-driven solutions. You will mentor teams and champion the adoption of advanced technologies to ensure innovation and excellence across projects.

Responsibilities

• Lead the development and implementation of data science solutions aligned with business needs.
• Collaborate with stakeholders to identify opportunities for data-driven strategies.
• Build and optimize machine learning models to improve workflows and business outcomes.
• Design and maintain analytics frameworks that enable informed decision-making.
• Ensure data science systems are scalable, reliable, and adaptable across environments.
• Mentor and provide technical guidance to data science teams to foster growth and expertise.
• Analyze data to uncover trends, patterns, and actionable insights.
• Communicate results and solutions effectively to technical and non-technical audiences.
• Stay up to date with advancements in artificial intelligence, machine learning, and data science technologies.
• Drive innovation by introducing new techniques and tools to enhance workflows and solutions.

Requirements

• At least 10 years of experience in IT, with a strong focus on data science and analytics.
• At least 5 years in senior leadership roles, such as Manager, Architect, or Lead, within Agile or hybrid environments.
• Proven experience managing teams of 40+ members while ensuring productivity and alignment with project objectives.
• Participation in at least 8 full project lifecycles, or successful launch of 2+ products or significant features to market.
• Deep expertise in data engineering, including data preparation, modeling, and visualization for business applications.
• Strong knowledge of supervised and unsupervised machine learning methodologies and their practical implementation.
• Ability to design and execute AI/ML strategies for complex business challenges.
• Advanced Python proficiency for data analysis, manipulation, and machine learning workflows.
• Hands-on experience with PyTorch for building and deploying deep learning models.
• Familiarity with TensorFlow for scalable machine learning development and deployment.
• Experience with AWS, Azure, or GCP for managing and deploying data science solutions.
• Excellent English communication skills and ability to explain technical concepts clearly to diverse audiences.

Nice to have

• Certifications in data science, machine learning, or cloud technologies.
• Experience integrating data science solutions with enterprise systems to improve operational efficiency.
• Advanced data visualization techniques and tools for communicating insights to stakeholders.

We offer

• Engineering community of industry professionals.
• Friendly team and enjoyable working environment.
• Flexible schedule and remote work within Poland.
• Opportunity to work abroad for up to 60 days annually.
• Business-driven relocation opportunities.
• Career roadmap, leadership development, career advising, soft-skills, and well-being programs.
• Certification opportunities in GCP, Azure, and AWS.
• Unlimited access to LinkedIn Learning, Get Abstract, and Cloud Guru.
• English classes.
• Stable income through an Employment Contract or B2B arrangement.
• Participation in the Employee Stock Purchase Plan.
• Benefits package, including health insurance, multisport, and shopping vouchers.
• Offices with entertainment and relaxation zones, table tennis, football, free snacks, and coffee.
• Referral bonuses and corporate, social, and well-being events.

The set of bonuses may vary based on the role; specifics will be discussed during the general interview. Only selected candidates will be contacted.