We are seeking a Technical Lead to architect, oversee, and deliver AI/ML solutions for a large-scale government platform focused on environmental clearances and compliance. The role requires hands-on technical leadership, end-to-end solution design, and team management across all AI/ML workstreams.

Experience : 5 - 10 years

Key Responsibilities :

- Lead the design, development, and deployment of AI/ML solutions, including RAG-based chatbots, agentic AI modules, and data pipelines.

- Architect scalable, secure, cloud-based systems using modern ML frameworks, APIs, and platforms (AWS/Azure/GCP).

- Implement and integrate NLP, document intelligence, geospatial analysis, and RAG pipelines, including LLMs and vector databases.

- Build data ingestion, embedding, retrieval, and NLP-based classification and risk

summarization workflows.

- Establish MLOps practices covering CI/CD, monitoring, model versioning, and automated testing.

- Collaborate with cross-functional teams, review code, mentor engineers, and manage technical delivery risks.

- Ensure compliance with government IT standards, data privacy, security, and ethical AI guidelines.

- Prepare technical documentation and represent the technical team in stakeholder and

government meetings.

- Follow Agile practices to track progress and ensure timely delivery.

- Experience in environmental, regulatory, or e-governance AI systems.

- Knowledge of GIS, remote sensing, and KML/geospatial data formats.

- Exposure to agentic AI and decision-support systems.

Job Description :

- Experience in software engineering, with 4+ years in AI/ML solution delivery

- Proven experience leading teams in building and deploying production-grade ML/NLP systems

- Strong proficiency in Python, cloud platforms (AWS/Azure/GCP), and ML frameworks (PyTorch, TensorFlow, Hugging Face), databases (SQL, NoSQL, vector databases).

- Experience with RAG architectures, vector databases (OpenSearch, Pinecone, FAISS), and LLM integration

- Hands-on knowledge of API design (REST), microservices, and containerization

(Docker/Kubernetes)

- Familiarity with geospatial data processing and document/OCR pipelines

- Excellent problem-solving, communication, and documentation skills

- Bachelors or masters degree in computer science, Engineering, or related field

- Experience with government, public sector, or regulatory technology projects

- Knowledge of environmental regulations and compliance processes

- Exposure to Agile/Scrum project management

- Strong proficiency in Python for AI/ML and backend development.

Educational Qualification :

- Any Graduate (preferably B.E / B. Tech / MCA or equivalent degree in IT/CS) with good

academic record from a recognized and reputed university/institution

Desirable Skills and Certificates :