Generative AI Engineer

We are seeking a seasoned Senior Data Scientist with overall 6 yrs and at least 5 years of hands-on experience in developing GenAI/machine learning models and deploying them in a cloud environment, 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.

Notice Period -Immediate Joiner - 30 Days Maximu

mMandatory skills - GEN AI/ GCP/Python Programming Languag

eLocation - Noida/Pune/Bengaluru/Chennai/Mumba

i
Key Responsibiliti

esLead end-to-end development of GenAI/ML models: problem framing, data preparation, model selection, training, evaluation, and iteratio

n.Architect and implement microservice-based AI solutions and deploy them in containerized environments (preferably GKE); define APIs and data contract

s.Incorporate and operationalize defined ML pipelines with MLOps practices: model versioning, feature stores, experiment tracking, CI/CD for ML, monitoring, and rollback strategie

s.Leverage GCP offerings (Vertex AI, BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Run, GKE, etc.) to design scalable AI solutions and efficient data workflow

s.Deploy, monitor, and maintain models in production; implement observability (logs, metrics, tracing), cost optimization, and performance tunin

g.Ensure cloud security, data governance, and compliance in line with regulatory requirements; manage IAM roles, data access controls, and data lineag

e.Collaborate with cross-functional teams (data engineers, software engineers, product, regulatory/compliance, analytics) to translate business needs into robust ML solution

s.Uphold SDLC standards: requirements gathering, design, development, testing, deployment, maintenance, and documentation; promote reusable patterns and best practice

s.Mentor and guide junior scientists; contribute to code reviews, standards, and knowledge sharin

g.Stay current with GenAI advancements and evaluate new tools/approaches; produce reproducible experiments and artifact

s.
Required Qualificati

onsOverall 8 yrs and Minimum 5 years of hands-on experience developing GenAI/ML models and deploying them in a cloud environme

nt.Proficiency with Google Cloud Platfor 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 frame

workKnowledge of Retrieval-Augmented Generation (RAG) concepts and proce

ssesStrong software engineering skills: Python (primary), experience with ML frameworks (TensorFlow, PyTorch, scikit-learn), and API development (REST/Graph

QL).Experience designing and deploying microservices architectures and containerized solutions (Docker, Kubernetes; preference for G

KE).Solid experience in MLOps: model versioning, experiments, automated training, feature stores, model registries, monitoring, and governa

nce.Data processing and analytics expertise: SQL, data pipelines, ETL/ELT concepts, data quality, and data visualization supp

ort.Excellent problem-solving, communication, and collaboration skills; ability to work with cross-disciplinary te

ams.Understanding of cloud security concepts, IAM, and basic principles of data privacy and complia

nce.Demonstrated ability to translate business problems into scalable ML solutions and to communicate technical concepts to non-technical stakehold