AI Consulting Manager

Quick Facts

• Role: AI Consulting Manager

Description

Lead the development and implementation of data science and AI solutions aligned with business needs. You will collaborate with stakeholders to identify data-driven opportunities, build and optimize machine learning models, and create scalable analytics frameworks for decision-making. You will also mentor data science teams, communicate results effectively to technical and non-technical audiences, and champion adoption of cutting-edge AI/ML technologies.

Responsibilities

• Lead data science solution development and implementation

• Collaborate with stakeholders on data-driven strategies

• Build and optimize machine learning models to improve workflows and outcomes

• Design and maintain analytics frameworks for informed decisions

• Ensure data science systems are scalable, reliable, and adaptable

• Mentor and provide technical guidance to data science teams

• Analyze data to uncover trends, patterns, and actionable insights

• Communicate results to technical and non-technical audiences

• Stay current with AI/ML/data science advancements and drive innovation

Requirements

• 10+ years of IT experience focused on data science and analytics

• 5+ years in senior leadership roles in Agile or hybrid environments

• Proven experience managing teams of 40+ members

• Participation in 8+ full project lifecycles, or launch of 2+ products/features

• Deep expertise in data engineering (data preparation, modeling, visualization)

• Strong knowledge of supervised and unsupervised machine learning and practical implementation

• Ability to design and execute AI/ML strategies for complex business challenges

• Advanced proficiency in Python for analysis, manipulation, and ML workflows

• Hands-on experience with PyTorch for deep learning model building and deployment

• Familiarity with TensorFlow for scalable ML development and deployment

• Solid experience with cloud platforms (AWS, Azure, or GCP)

• Excellent English communication skills

Benefits

• Flexible schedule and opportunity to work remotely within Poland

• Chance to work abroad up to 60 days annually

• Business-driven relocation opportunities

• Career roadmap, leadership development, and well-being programs

• Certification support (GCP, Azure, AWS)

• Unlimited access to LinkedIn Learning, Get Abstract, and Cloud Guru

• English classes

• Stable income (Employment Contract or B2B) and Employee Stock Purchase Plan

• Benefits package including health insurance, multisport, and shopping vouchers

• Office amenities and corporate/community events

• Referral bonuses