The Role
Leads the design, development, deployment, and optimization of production-grade AI, machine learning, generative AI, chatbots, and autonomous agents. Builds RAG pipelines and semantic search systems, integrates LLMs with cloud and data platforms, and oversees MLOps, monitoring, security, governance, experimentation, and scalability. Collaborates with engineering, data science, and product teams while leading complex AI projects and teams.
Summary Generated by Built In
Location: Hyderabad
Work Mode: Work From Office
Title: Technical Lead (AI/ML/GenAI)
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
Skills Required
- 8+ years of experience in machine learning, deep learning, and AI system design
- Hands-on experience with Agentic AI frameworks and LLM APIs such as OpenAI
- Certification in AI/ML or cloud-based AI platforms such as AWS, GCP, or Azure
- Proficiency in Python and machine learning libraries such as scikit-learn and XGBoost
- Experience with AWS SageMaker, Lambda, S3, EC2, and IAM
- Expertise in Databricks for collaborative data science and machine learning workflows
- Strong understanding of vector databases and semantic search
- Hands-on MLOps experience with Docker, Kubernetes, CI/CD, model monitoring, and MLflow
- Experience building RAG pipelines with LangChain
- Experience with 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 or biopharma
- Proven ability to scale AI teams and lead complex AI projects in high-growth environments
- Bachelor’s or master’s degree, or equivalent, in computer science, mathematics, or a related field
- Exposure to oil and gas, refinery operations, or financial services
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The Company
What We Do
Proclink is a digital and AI transformation company that helps regulated and operationally intensive enterprises modernize systems, workflows, and decision environments. It combines strategy and consulting, data engineering, artificial intelligence, analytics, implementation and integration, managed services, and technology services. The company serves manufacturing, financial services, life sciences, and other regulated industries, delivering connected enterprise intelligence and measurable operational performance for clients.
