GenAI Senior Data Scientist

Key Skills

Aartificial intelligence, Agile methodologies, Algorithms, AWS, Azure, Computer Vision (CV), Data science techniques, Data Visualization, Effective communication skills, Generative AI, Google Cloud Platform (GCP), Large Language Models - LLMs, Leadership Skill, Machine learning techniques, PowerBI, Python Programming, PyTorch, R Programming, Tableau, TensorFlow

Job Description

In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world.​ Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.

You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your Role and Responsibilities

We are seeking a highly skilled and experienced Generative AI Data Scientist to join our team. The successful candidate will be responsible for leading the development and implementation of generative AI models and algorithms, while also contributing to business development and technical leadership initiatives. The ideal candidate should have a strong background in data science, machine learning, and programming, with relevant, hands-on experience in generative AI and a passion for leading and mentoring teams.

Responsibilities:

• Act as data scientist and SME for the GenAI use cases, having a good understanding of key LLMs, associated technologies and architectures (e.g. RAG).
• Lead the development and implementation of generative AI models and algorithms for various applications such as computer vision, natural language processing, and audio processing. Propose, define, and refine the GenAI implementation approach for a given use case.
• Collaborate with cross-functional teams to identify business opportunities and develop solutions that leverage generative AI technology.
• Work closely with the technical leadership team to develop and implement technical strategies that align with business objectives.
• Mentor and lead a team of data scientists and engineers, providing guidance and support to ensure the successful delivery of projects.

Required Technical and Professional Expertise

• At least 5 years of experience in a data science role, with a focus of 1 year in generative AI.
• Strong programming skills in languages such as Python and R.
• Experience with generative AI frameworks and libraries such as TensorFlow, PyTorch, and GANbreeder.
• Strong understanding of machine learning algorithms, including deep learning techniques.
• Hands-on experience with cloud computing platforms such as AWS, Azure, or GCP.
• Experience with data visualization tools such as Tableau or Power BI.

Preferred Technical and Professional Expertise

• Proven track record of leading and mentoring teams, with a passion for developing and supporting the growth of team members.
• Excellent communication and interpersonal skills, with the ability to communicate complex technical concepts to non-technical stakeholders.
• Strong business acumen and understanding of the latest trends and opportunities in the AI industry.
• Familiarity with agile software development methodologies.