JD- AI/ML, Gen AI lead developer

 CTC 30 to 45 lakh. third party payroll for one of big 4.

  • Looking 6-13 years of experience_ locations-Hyderabad,Bangalore,Mumbai,Kolkata- Hybrid Mode_ General Shift
  • Generative AI Technical Lead Developer: AI + ML+NLP with Generative AI

Position Overview: We are seeking an experienced and dynamic Lead Developer with a strong background in Machine Learning (ML), Artificial Intelligence (AI) and Generative AI to join our team. The ideal candidate will have 9-12 years of hands-on experience in analyzing data, building advanced analytics models, and leveraging cutting-edge AI and Generative AI technologies to derive actionable insights. This role requires a combination of deep technical expertise, strong analytical capabilities, and a proven ability to work in a collaborative and innovative environment.

Responsibilities:

Architecture Design:

  • Design and implement scalable, secure, and high-performance architectures for Generative AI applications.
  • Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization.

Model Development and Deployment:

  • Fine-tune pre-trained generative models for domain-specific use cases.
  • Data Collection, Sanitization and Data Preparation strategy for Model fine tuning.
  • Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning.
  • Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc.
  • Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow).

Innovation and Strategy:

  • Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems.
  • Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation.
  • Good exposure to Agentic Design patterns

Collaboration and Leadership:

  • Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders.
  • Mentor and guide team members on AI/ML best practices and architectural decisions.
  • Should be able to lead a team of data scientists, GenAI engineers and Software Developers.

Performance Optimization:

  • Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy.
  • Optimize computational costs and infrastructure utilization for large-scale deployments.

Ethical and Responsible AI:

  • Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks.
  • Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI.

Required Skills:

  • Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark.
  • Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.).
  • Should have strong knowledge on LLMs foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Models like Llama 3.2, Phi etc.
  • Proven track record with event-driven architectures and real-time data processing systems.
  • Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows.
  • Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP.
  • Knowledge of containerization technologies such as Kubernetes and Docker.
  • Comprehensive understanding of data lakes and strategies for data management.
  • Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel.
  • Proficiency in cloud computing platforms such as Azure or AWS.
  • Exceptional leadership, problem-solving, and analytical abilities.
  • Superior communication and collaboration skills, with experience managing high-performing teams.
  • Ability to operate effectively in a dynamic, fast-paced environment.

Nice to Have Skills:

  • Experience with additional technologies such as Datadog, and Splunk.
  • Programming languages like C#, R, Scala
  • Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI.

Professional and Educational Background:

  • BE / B.Tech / MCA / M.Sc / M.E / M.Tech

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