Tech Lead

2 days ago

Hyderabad, Telangana, India Proclink Full time ₹ 15,00,000 - ₹ 30,00,000 per year

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 & Qualificatio**

  • ns8+ years of experience i
    n Machine Learning, Deep Learning, and AI system desi
    g
  • n.Strong hands-on experienc
    e with Agentic AI frameworks and LLM APIs (e.g., OpenA
  • I)Certifications in AI/ML or cloud-based AI platforms
    (AWS, GCP, Azu
    re
  • ).Proficiency in Python and ML libraries like scikit-learn, XGBoost, et
  • c.Experience with AWS services such as SageMaker, Lambda, S3, EC2, and IA
  • M.Expertise in Databricks for collaborative data science and ML workflow
  • s.Solid understanding of vector databases and semantic searc
  • h.Hands-on experience with MLOps including containerization (Docker, Kubernetes), CI/CD, and model monitoring along with tools like MLflo
  • w,Experience with RAG pipelines & LangChai
  • n.LLM orchestration, or agentic framework
  • s.Knowledge of data priva
  • cyExposure to real-time inference systems and streaming dat
  • a.Experience in regulated industries such as healthcare, biophar
  • maProven ability to scale AI teams and lead complex AI projects in high-growth environmen
  • tsOil & Gas, refinery operations & financial services exposure is preferr
  • edMaster's/ bachelor's degree (or equivalent) in computer science, mathematics, or related fie

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