Hiring Data Scientist – Gen AI Development

7 days ago

Remote, India Geetha Technology Solutions Full time ₹ 15,00,000 - ₹ 16,00,000 per year

ob Title: Data Scientist – GenAI & Cloud (Java/Python + Vertex AI)

Experience: 6–9 Years

Location: Remote (Base Location: Pune, Indore, Ahmedabad, Hyderabad, Bangalore)

Contract Duration: 6 Months

About the Role

We are looking for a highly skilled Data Scientist experienced in GenAI, ML model development, hands-on coding (Java & Python) and cloud-based deployment using Google Vertex AI. The ideal candidate should have strong capabilities in building scalable ML pipelines, training/evaluating models, and integrating ML solutions into production systems.

Key ResponsibilitiesAI/ML & GenAI

  • Develop ML and GenAI solutions including LLM, NLP, embeddings, and retrieval workflows.
  • Build end-to-end ML pipelines — data ingestion, training, validation, deployment, and monitoring.
  • Fine-tune or optimize LLM-based applications on Vertex AI.
  • Build RAG workflows, model evaluation experiments, and benchmarking frameworks.

Hands-on Coding

  • Strong coding in Python for model development and data engineering tasks.
  • Ability to write Java code for integrating ML models into microservices or backend systems.
  • Develop APIs, services, and tools for model inference & automation.

Vertex AI & Cloud Deployment

  • Use Vertex AI (Training, Endpoint, Pipelines, Model Registry) for scalable model development.
  • Deploy serverless ML services using Cloud Run, Cloud Functions, or other GCP components.
  • Optimize ML workloads for speed, cost, and scalability.

Required Skills

  • Strong programming in Python and good coding skills in Java.
  • Hands-on experience with GenAI, LLMs, NLP pipelines.
  • Expertise in Vertex AI (training, endpoints, pipelines).
  • Strong knowledge of ML algorithms & deep learning frameworks (TensorFlow, PyTorch).
  • Experience with cloud-native development (GCP preferred).
  • Working knowledge of APIs, microservices, and serverless deployments (Cloud Run).

Data Science & Analytics

  • Perform data preprocessing, feature engineering, data modeling, and exploratory analysis.
  • Work with structured and unstructured datasets (text, logs, documents, vector data).
  • Conduct experiments, A/B tests, hyperparameter tuning, and model monitoring.

Collaboration & Best Practices

  • Work closely with engineering and architecture teams.
  • Follow MLOps, DevOps, CI/CD, versioning, and production readiness guidelines.
  • Maintain clean code, documentation, and reproducibility practices.

Job Type: Contractual / Temporary

Pay: ₹1,500, ₹1,600,000.00 per year

Work Location: Remote

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