Manager – Generative AI & Machine Learning

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 1 week ago
7-11 years
Hyderabad / Secunderabad, Telangana, Telangana
work from office

Posted: 1 week ago
|
Applicants: 149+
Job Description
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Job Description

Job Title: Manager – Generative AI & Machine Learning
Experience: 7–11 Years
Job Type: Permanent
Location: Hyderabad / Bangalore
Introduction
We are hiring a Manager – Generative AI & Machine Learning to lead high-impact AI initiatives and drive innovation across the organization. This role is ideal for experienced professionals who combine strong technical expertise in GenAI, NLP, and ML with leadership capabilities to manage teams, deliver enterprise-scale solutions, and shape AI strategy.
Key Responsibilities
  • Lead and manage a team of AI/ML engineers and specialists, providing mentorship and technical guidance
  • Own end-to-end delivery of AI/ML and Generative AI projects, including planning, execution, and risk management
  • Define and drive AI/ML strategy, identifying opportunities to leverage AI for business growth and efficiency
  • Provide deep technical oversight on model development, evaluation, and deployment
  • Collaborate with business leaders, product managers, and data teams to translate requirements into scalable AI solutions
  • Ensure implementation of best practices, coding standards, and model governance
  • Drive cross-functional collaboration with data engineering, DevOps, and analytics teams
  • Lead hiring and talent development, including performance management and career growth of team members
  • Ensure adherence to ethical AI practices, data privacy, and compliance standards
  • Stay updated with the latest advancements in GenAI, LLMs, and ML technologies
Required Skills & Expertise
  • Strong hands-on experience in Generative AI, Machine Learning, and NLP
  • Expertise in LLMs (e.g., GPT, BERT, LLaMA) and GenAI frameworks
  • Proficiency in Python (or R) and ML frameworks such as TensorFlow / PyTorch
  • Experience with LLMOps / MLOps / LLMOps pipelines
  • Hands-on experience with tools/frameworks such as:
    • LangChain, LangGraph, LlamaIndex, OpenAI libraries
    • Vector databases (ChromaDB, FAISS, etc.)
  • Strong experience with cloud platforms (Azure / Google Cloud)
    • Exposure to Azure Synapse / Data Analytics services preferred
  • Solid understanding of ML algorithms, deep learning, and NLP techniques
Preferred Skills

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  • Experience delivering enterprise-scale AI/ML solutions
  • Expertise in large-scale model deployment and optimization
  • Hands-on experience in fine-tuning LLMs (e.g., GPT-4, PaLM, LLaMA)
  • Knowledge of DevOps, MLOps, and LLMOps practices
Leadership & Behavioral Expectations
  • Strong team management and mentoring skills
  • Ability to own project outcomes beyond individual contributions
  • Strong communication skills to explain technical concepts to non-technical stakeholders
  • Business-oriented mindset with the ability to align AI solutions to organizational goals
  • Focus on innovation, collaboration, and continuous learning
Why This Role
  • Opportunity to lead cutting-edge Generative AI initiatives
  • Work on enterprise-scale AI transformation projects
  • High visibility role with strategic impact and leadership exposure
  • Work with modern tools in LLMs, cloud, and AI platforms
Skills: neuro-linguistic programming (nlp),ml,generative ai,llms,machine learning,leadership,azure synapse,enterprise,ai/lm,learning,data,devops

Skills

Data AnalyticsPythonData PrivacyDeep LearningImplementationMachine LearningAi/mlAnalyticsAiGoogle CloudMl

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About Company

WorkForce Nexus is a premier provider of comprehensive staffing and recruiting solutions. We specialize in connecting top talent with leading companies across various industries. Our mission is to empower businesses with the workforce they need to thrive, while helping individuals find fulfilling and rewarding careers.

Important dates & deadlines?

Application Deadline

13 Jul 26, 07:03 PM IST

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Manager – Generative AI & Machine Learning

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