Area(s) of Responsibility JD - Senior Developer Gen AI (5B Grade)

Location: Noida/Pune/Bengaluru/HYD/Mumbai

Experience: 7-11 Years

Notice: Immediate

Summary:

We are seeking a seasoned Senior Developer GenAI with overall 10-12 years and at least 5-7 years of hands-on experience in developing GenAI/machine learning models and deploying them in a cloud workplace, preferably on Google Cloud Platform (GCP). The ideal candidate will design microservice-based solutions, containerize deployments (e.g., GKE), and drive end-to-end SDLC practices. Experience in the pharma domain is a strong advantage.

Key Responsibilities

- Lead end-to-end development of GenAI/ML models: problem framing, data preparation, model selection, training, evaluation, and iteration.
- Architect and implement microservice-based AI solutions and deploy them in containerized environments (preferably GKE); define APIs and data contracts.
- Leverage GCP offerings (Vertex AI, BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Run, GKE, etc.) to design scalable AI solutions and efficient data workflows.
- Knowledge of Retrieval-Augmented Generation (RAG) concepts and processes.
- Proficiency with Google Cloud Platform (GCP) and its AI/ML offerings (e.g., Vertex AI, BigQuery, Dataflow, Cloud Storage, GKE).
- Deploy, monitor, and maintain models in production; implement observability (logs, metrics, tracing), cost optimization, and performance tuning.
- Collaborate with cross-functional teams (data engineers, software engineers, product, regulatory/compliance, analytics) to translate business needs into robust ML solutions.
- Uphold SDLC standards: requirements gathering, design, development, testing, deployment, maintenance, and documentation; promote reusable patterns and best practices.




- Mentor and guide junior scientists; contribute to code reviews, standards, and knowledge sharing.
- Stay current with GenAI advancements and evaluate new tools/approaches; produce reproducible experiments and artifacts.

Required Qualifications

- Overall 10-12 years and minimum 5-7 years of hands-on experience developing GenAI/ML models and deploying them in a cloud environment.
- Proficiency with Google Cloud Platform (GCP) and its AI/ML offerings (e.g., Vertex AI, BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Run, GKE).
- Must have experience working with any agentic framework.
- Knowledge of Retrieval-Augmented Generation (RAG) concepts and processes.
- Strong software engineering skills: Python (primary), experience with ML frameworks (TensorFlow, PyTorch, scikit-learn), and API development (REST/GraphQL).
- Experience designing and deploying microservices architectures and containerized solutions (Docker, Kubernetes; preference for GKE).
- Solid experience in MLOps: model versioning, experiments, automated training, feature stores, model registries, monitoring, and governance.
- Data processing and analytics expertise: SQL, data pipelines, ETL/ELT concepts, data quality, and data visualization support.
- Excellent problem-solving, communication, and collaboration skills; ability to work with cross-disciplinary teams.
- Understanding of cloud security concepts, IAM, and basic principles of data privacy and compliance.
- Demonstrated ability to translate business problems into scalable ML solutions and to communicate technical concepts to non-technical stakeholders.

Locations

- Country/Region: IN
- Requisition ID: 39582
- Work Model:
- Position Type:
- Salary Range:
- Location: INDIA - HYDERABAD - BIRLASOFT OFFICE

📌 Title: GEN AI Sr Lead (India)
🏢 Birlasoft
📍 India