Data Scientist

1 day ago

Bengaluru Karnataka, India Dysrupit Full time

**JOB SUMMARY**:
**JOB RESPONSIBILITIES**:

- Identify and choose the right AI or cognitive computing technologies for solving problems and formulate AI recipes for development
- Set up and manage the AI development and production infrastructure
- Help product managers and business stakeholders understand the potential and limitations of AI when planning new products
- Collaborate with other engineers and data scientists to enable seamless AI interactions.
- Build data ingest and data transformation infrastructure
- Identify new training datasets, problem transfer learning opportunities and adapt
- Build AI models from scratch, deploy them into production and help stakeholders understand the outcomes
- Create APIs and help business customers transfer results from the developed AI models to operations
- Recommend AI solutions that can improve the existent products.

**JOB QUALIFICATIONS**:

- 4-5 years programming experience working on AI/ML products & models
- Solid programming language skills in Python
- Experience in building LLM/RAG systems (Langchain, LangGraph, LangSmith - preferred, Agents, etc.)
- Strong knowledge of machine learning related tools and frameworks for data management, visualization, implementation and performance evaluation, such as scikit-learn, numpy, pandas, etc.
- Demonstrated ability to deliver working solutions on a tight schedule
- Very strong algorithmic thinking
- Experience with versioning tools (e.g. Git preferred)
- Solid understanding of RAG systems and approaches, NLP, data science process, statistical modeling, machine learning, deep learning
- Strong hands-on experience with developing RESTful APIs, preferably using FastAPI
- Cloud development (Docker, Kubernetes) and using Cloud specific AI technologies (Azure Machine Learning Services - strong preference, with AI Foundry (AI ML Studio), Azure Prompt Flow, Azure Functions and Logic Apps).
- Database experience (SQL, at least).

**NICE TO HAVE**:

- Experience building AI models in frameworks such as Keras, TensorFlow or Theano
- Working with Unix or unix-like operating systems
- Using quantitative methods in business setting background is a plus
- Experience in Azure Cloud deployment, Azure AI Evaluation tools

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