Birlasoft

Lead Developer, Gen AI

Birlasoft

full-time

Posted on:

Location Type: Office

Location: Bengaluru • India

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Job Level

Senior

Tech Stack

BigQueryCloudDockerETLGoogle Cloud PlatformGraphQLKubernetesMicroservicesPythonPyTorchScikit-LearnSDLCSQLTensorflow

About the role

  • 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.
  • Incorporate and operationalize defined ML pipelines with MLOps practices: model versioning, feature stores, experiment tracking, CI/CD for ML, monitoring, and rollback strategies.
  • Leverage GCP offerings (Vertex AI, BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Run, GKE, etc.) to design scalable AI solutions and efficient data workflows.
  • Deploy, monitor, and maintain models in production; implement observability (logs, metrics, tracing), cost optimization, and performance tuning.
  • Ensure cloud security, data governance, and compliance in line with regulatory requirements; manage IAM roles, data access controls, and data lineage.
  • 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.

Requirements

  • Minimum 5 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.
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
GenAIML modelsPythonTensorFlowPyTorchscikit-learnSQLMLOpsmicroservicesdata pipelines
Soft Skills
problem-solvingcommunicationcollaborationmentoringknowledge sharing