AI/ML Agentic Lead

Keka Technologies Private Limited; Hyderabad; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

Keka Technologies Private Limited in Hyderabad is looking for a Technical Lead (AI/ML/GenAI) to lead the design and deployment of innovative ML models and algorithms. The ideal candidate will have substantial experience in building scalable solutions, specifically in areas like chatbots and autonomous agents.

With over 8 years of hands-on experience in Machine Learning and team leadership in complex AI projects, this role offers opportunities to work with advanced technologies and lead collaborative teams in developing cutting-edge AI solutions.

Qualifications

• 8+ years of experience in Machine Learning, Deep Learning, and AI system design.
• Strong hands-on experience with Agentic AI frameworks and LLM APIs.
• Certifications in AI/ML or cloud-based AI platforms like AWS, GCP, Azure.

Responsibilities

• Lead the design, development, and deployment of advanced machine learning models.
• Build and optimize chatbots and autonomous agents using LLM endpoints.
• Integrate ML models into production systems with collaboration from teams.

Skills

Machine Learning

Deep Learning

Agentic AI

Python

AWS Services

Databricks

MLOps

Vector Databases

Education

Master’s/Bachelor’s degree in Computer Science or related field

Tools

Docker

Kubernetes

scikit-learn

XGBoost

MLflow

Job description

We are seeking a highly skilled and innovative Technical Lead ( AI/ML/GenAI) with strong hands‑on experience in Agentic AI, Machine Learning, and Cloud Platforms like AWS and Databricks. The ideal candidate will be proficient in building intelligent systems using agentic frameworks to deliver scalable, production‑grade solutions such as chatbots and autonomous agents.

Key Responsibilities

• Lead the design, development, and deployment of advanced machine learning models and algorithms for various applications.
• Build and optimize chatbots and autonomous agents using LLM endpoints and frameworks like LangChain, Semantic Kernel, or similar.
• Implement vector search using technologies such as FAISS, Weaviate, Pinecone, or Milvus for semantic retrieval and RAG (Retrieval‑Augmented Generation).
• Collaborate with data engineers and product teams to integrate ML models into production systems.
• Monitor and maintain deployed models, ensuring performance, scalability, and reliability.
• Conduct experiments, A/B testing, and model evaluations to improve system accuracy and efficiency.
• Stay updated with the latest advancements in AI/ML, especially in agentic systems and generative AI.
• Ensure robust security, compliance, and governance, including role‑based access control, audit logging, and data privacy controls.
• Collaborate with data scientists, ML engineers, and product teams to deliver scalable, production‑grade GenAI solutions.
• Participate in code reviews, architecture discussions, and continuous improvement of the GenAI platform.

Required Skills & Qualifications

• 8+ years of experience in Machine Learning, Deep Learning, and AI system design .
• Strong hands‑on experience with Agentic AI frameworks and LLM APIs (e.g., OpenAI)
• Certifications in AI/ML or cloud‑based AI platforms ( AWS, GCP, Azure ).
• Proficiency in Python and ML libraries like scikit‑learn, XGBoost, etc.
• Experience with AWS services such as SageMaker, Lambda, S3, EC2, and IAM.
• Expertise in Databricks for collaborative data science and ML workflows.
• Solid understanding of vector databases and semantic search.
• Hands‑on experience with MLOps including containerization (Docker, Kubernetes), CI/CD, and model monitoring along with tools like MLflow,
• Experience with RAG pipelines & LangChain.
• LLM orchestration, or agentic frameworks.
• Knowledge of data privacy
• Exposure to real‑time inference systems and streaming data.
• Experience in regulated industries such as healthcare, biopharma
• Proven ability to scale AI teams and lead complex AI projects in high‑growth environments
• Oil & Gas, refinery operations & financial services exposure is preferred
• Master’s/ bachelor’s degree (or equivalent) in computer science, mathematics, or related field