Data Science Specialist

8 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About Sonata Software

Job Title:

Experience:

Role Summary:

Design and deploy scalable data science solutions that drive insights and automation. This role blends data engineering, ML, and MLOps to ensure robust model development and deployment.

Key Responsibilities:

  • Data Engineering:

    Build ETL/ELT pipelines, reusable feature components, and collaborate on data quality.
  • Modeling:

    Develop ML models (classification, regression, NLP, GenAI), perform EDA, and optimize for production.
  • MLOps:

    Deploy models using Docker/Kubernetes/cloud (AWS, Azure, GCP), implement CI/CD, and monitor performance.
  • Integration:

    Expose models via APIs, integrate with BI tools, and maintain drift detection systems.
  • Collaboration:

    Work with cross-functional teams, contribute to AI/ML CoE, and explore LLMs, RAG, and GenAI.

Required Skills:

  • Python (pandas, scikit-learn, TensorFlow, PyTorch)
  • SQL & Data Warehouses (Snowflake, BigQuery, etc.)
  • MLOps tools (MLflow, Kubeflow), cloud platforms
  • Data pipeline tools (Airflow, Databricks)
  • Visualization (Power BI, Tableau)

Nice to Have:

  • GenAI, LLM fine-tuning, RAG, vector DBs (FAISS, Pinecone)
  • API development (FastAPI), DevOps tools (Terraform)
  • Certifications (AWS/Azure ML, Microsoft Data Scientist)

Education:

Bachelor’s/Master’s in CS, Data Science, Stats, or related field

Soft Skills:

Analytical mindset, clear communication, team player, attention to detail

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Sonata Software

Information Technology and Services

Bangalore

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