Data Scientist I

BMC Software

4 - 9 years

8 - 13 Lacs

pune

Posted:1 day ago| Platform:

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Skills Required

python machine learning application development tensorflow pytorch kubernetes rest algorithms scikit-learn microsoft azure data warehousing data engineering angular react.js java ssr postgresql data science gcp vector aws etl

Work Mode

Work from Office

Job Type

Full Time

Job Description

To ensure youre set up for success, you will bring the following skillset & experience:

You have 4+ years of experience with application development using Python/Fast API, Java, RESTful services, high-performance, and multi-threading.
Bachelors or masters degree in computer science, Statistics, Mathematics, Data Science, or a related field.
Full Stack Developer with emphasis on [Python, Relational (PostGres) and Vector databases (FAISS, Weaviate, Milvus), Cloud Platforms/Services (AWS, GCP, Azure)]
Good to have Frontend Development (Angular, React and SSR) experience
Experience with machine learning frameworks and libraries (PyTorch, TensorFlow, scikit-learn).
Experience with LangChain, LangGraph and LlamaIndex and LiteLLM for building LLM-powered applications
Understanding of time-series modeling, anomaly detection, or clustering techniques.
Experience with data engineering (ETL pipelines, data warehouses, etc.) and Hands-on exposure to model tracking (MLflow), serving (FastAPI, vLLM), and container orchestration frameworks (Kubernetes, DockerSwarm)

Whilst these are nice to have, our team can help you develop in the following skills:

You have 8+ years of experience with application development using Python/Fast API, Java, RESTful services, high-performance, and multi-threading.
Bachelors or masters degree in computer science, Statistics, Mathematics, Data Science, or a related field.
Full Stack Developer with emphasis on [Python, Relational (PostGres) and Vector databases (FAISS, Weaviate, Milvus), Cloud Platforms/Services (AWS, GCP, Azure)]
Good to have Frontend Development (Angular, React and SSR) experience
Experience with machine learning frameworks and libraries (PyTorch, TensorFlow, scikit-learn).
Experience with LangChain, LangGraph and LlamaIndex and LiteLLM for building LLM-powered applications
Understanding of time-series modeling, anomaly detection, or clustering techniques.
Experience with data engineering (ETL pipelines, data warehouses, etc.) and Hands-on exposure to model tracking (MLflow), serving (FastAPI, vLLM), and container orchestration frameworks (Kubernetes, DockerSwarm)

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