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We focus on your professional development through ongoing learning, mentorship, development of technical skills, and continuous personal growth, all grounded in a culture of coaching and career advancement. If you see yourself as someone who never stops learning and who wants to unleash your potential, the IBM Consulting Associates Program is for you.
Your Role and Responsibilities
Technical Oversight:
Oversee the design, development, and deployment of Machine Learning models and AI solutions.
Ensure the use of best practices in data science, including model validation, performance monitoring, and continuous improvement.
Stay informed about the latest developments in AI/ML and drive the adoption of relevant technologies within the team.
Team Development:
Provide mentorship and professional development opportunities to project and practice team members.
Lead recruitment eKorts to attract top talent and grow the team as needed.
Help Foster a culture of learning and continuous development within the Data Science
Required Technical and Professional Expertise
9+ years of experience in Data Science and Machine Learning, with at least 3 years in a leadership role.
Proven track record of managing and delivering large-scale AI/ML projects.
Experience with Generative AI and Large Language Models is highly desirable.
Proficiency in programming languages such as Python, R, or Scala.
Deep understanding of Machine Learning frameworks (e.g., TensorFlow, PyTorch) and data
processing tools (e.g., SQL, Pandas).
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and machine learning
deployment.
Strong knowledge of Natural Language Processing (NLP) and AI ethics.
Preferred Technical and Professional Expertise
Strong leadership and team management skills with the ability to inspire and motivate.
Strategic thinking with the ability to align data science initiatives with business objectives.
Excellent communication skills, capable of conveying complex ideas to a variety of
audiences.
Proven ability to manage cross-functional teams and work collaboratively across
departments.
Experience in scaling data science teams and implementing AI solutions in a large
(preferably, consulting) organization.
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