Manager - AI Consulting

Manager - AI Consulting Miejsce pracy: Kraków Technologies we use Expected AI About the project We are seeking an experienced Manager, AI Consulting, to join our team. In this role, you will leverage your deep expertise in data science to design and implement impactful 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 ideal candidate combines strong leadership and communication skills with a creative, analytical mindset and a proven ability to translate business needs into actionable data-driven solutions. You will also play a key role in mentoring teams and championing the adoption of cutting-edge technologies to ensure innovation and excellence across projects. Your 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 both 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 Our requirements At least 10 years of experience in IT, with a strong focus on data science and analytics Minimum of 5 years in senior leadership roles (e.g., Manager, Architect, Lead) within Agile or hybrid environments Proven track record of managing teams of 40 members, 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 machine learning methodologies (supervised and unsupervised) and their practical implementation Demonstrated ability to design and execute AI/ML strategies to solve complex business challenges Advanced proficiency in Python 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 Solid experience with cloud platforms (AWS, Azure, or GCP) for managing and deploying data science solutions Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences Optional Certifications in data science, machine learning, or cloud technologies to validate expertise Experience in integrating data science solutions with enterprise systems to improve operational efficiency Proficiency in advanced data visualization techniques and tools to effectively communicate insights to stakeholders Development opportunities we offer conferences in Poland development budget external training industry-specific e-learning platforms intracompany training mentoring soft skills training space for experimenting substantive support from technological leaders support of IT events technical knowledge exchange within the company What we offer Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English language classes Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Benefits private medical care life insurance remote work opportunities flexible working time fruits integration events retirement pension plan no dress code video games at work coffee / tea parking space for employees leisure zone employee referral program charity initiatives EPAM Systems (Poland) sp. z o.o. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. Klikając w przycisk "Aplikuj" lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez EPAM Systems (Poland) sp. z o.o. z siedzibą w: Fabryczna 1A, 31-553 Kraków (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu zgodnie Polityką Prywatności dostępną na stronie: https://www.epam.com/applicant-privacy-notice