Gen AI & Machine Learning Manager (RARR Job 6171)

Role Summary

We are seeking a highly skilled and experienced Manager – Gen AI & Machine Learning Specialist to lead the design, development, and deployment of advanced AI/ML solutions. This role will be responsible for managing a team of AI professionals, driving innovation through Generative AI, and delivering scalable, enterprise-grade solutions aligned with business objectives.

Key Responsibilities

1. Team Leadership & Management

• Lead, mentor, and manage a team of AI/ML engineers and data scientists.
• Foster a culture of innovation, collaboration, and continuous learning.
• Support career development and skill enhancement of team members.

2. Project & Delivery Management

• Oversee end-to-end delivery of AI/ML and Generative AI projects.
• Define project scope, timelines, and resource allocation.
• Ensure timely delivery within budget while maintaining quality standards.
• Identify and mitigate project risks proactively.

3. AI/ML Strategy & Innovation

• Collaborate with leadership to define and execute AI/ML strategy.
• Identify high-impact use cases for Generative AI and Machine Learning.
• Drive innovation by leveraging emerging AI technologies.

4. Technical Leadership

• Provide hands-on technical guidance in AI/ML model development and deployment.
• Ensure adherence to best practices, coding standards, and architecture guidelines.
• Review solution designs and model performance for optimization.

5. Stakeholder Management

• Engage with business stakeholders, product teams, and leadership to gather requirements.
• Translate business needs into scalable AI/ML solutions.
• Communicate technical concepts effectively to non-technical stakeholders.

6. Talent Acquisition & Capability Building

• Participate in hiring and onboarding of AI/ML talent.
• Evaluate candidates for technical and cultural fit.
• Build a high-performing AI capability within the organization.

7. Performance Management

• Conduct regular performance reviews and provide constructive feedback.
• Drive accountability, ownership, and high performance within the team.

8. Cross-functional Collaboration

• Work closely with Data Engineering, DevOps, and Product teams.
• Ensure seamless integration and deployment of AI solutions into production systems.

9. Ethics, Governance & Compliance

• Ensure adherence to ethical AI practices and data governance standards.
• Maintain compliance with data privacy, security, and regulatory requirements.

10. Continuous Learning & Thought Leadership

• Stay updated with latest advancements in AI, ML, and Generative AI.
• Promote knowledge sharing and adoption of new tools and frameworks.

Mandatory Skills & Qualifications

• Strong expertise in Generative AI, Machine Learning, Deep Learning, and NLP.
• Hands-on experience with LLMs (e.g., BERT, GPT, etc.).
• Proficiency in Python or R.
• Experience with ML frameworks such as TensorFlow, PyTorch.
• Strong knowledge of:
  • LangChain / LangGraph / LangSmith
  • LlamaIndex / LlamaCloud
  • OpenAI APIs and LLM libraries
  • Vector Databases (ChromaDB, FAISS, etc.)
• Experience with Cloud Platforms (Azure / Google Cloud Platform).
• Good understanding of Azure Data Analytics services (e.g., Synapse).
• Strong communication skills (verbal and written).

Preferred Skills

• Experience delivering enterprise-scale AI/ML solutions.
• Strong understanding of MLOps / LLMOps / DevOps practices.
• Experience in large-scale model deployment and monitoring.
• Hands-on experience in training and fine-tuning LLMs such as:
  • PaLM2, GPT-4, LLaMA, or other SLMs.

Behavioral Competencies

• Strong leadership and mentoring abilities.
• Ownership mindset with accountability for deliverables.
• Ability to align technical solutions with business goals.
• Strong problem-solving and analytical thinking.
• Effective collaboration and stakeholder engagement skills.

Experience Range

• 10–15 years of overall experience, with significant exposure to AI/ML and team management.