Data Science or Machine Learning Engineer (India)

Data Science or Machine Learning Engineer (India)

06 Sep
|
Sparix Global
|
India

06 Sep

Sparix Global

India

Job Summary

We are seeking a skilled GenAI, Agentic AI, and Data Science Engineer to design, develop, and deploy AI-driven solutions that leverage Large Language Models (LLMs), autonomous AI agents, and advanced analytics. The ideal candidate will have experience in Generative AI, machine learning, data science, and agent-based frameworks to build intelligent systems that automate business processes and deliver actionable insights.

5-8 Years of Experience

Key Responsibilities
- Design and develop Generative AI applications using LLMs such as GPT, Claude, Gemini, or open-source models.
- Build and deploy Agentic AI solutions capable of autonomous reasoning, planning, tool usage, and workflow orchestration.
- Develop RAG (Retrieval-Augmented Generation) pipelines using vector databases and enterprise knowledge sources.
- Fine-tune, evaluate, and optimize foundation models for domain-specific use cases.
- Perform data analysis, feature engineering, model development, and predictive analytics.
- Design machine learning and deep learning models for business problems.




- Integrate AI agents with APIs, databases, cloud services, and enterprise applications.
- Monitor model performance, improve prompt engineering strategies, and ensure responsible AI practices.
- Collaborate with business stakeholders, product teams, and data engineers to deliver AI solutions.
- Document technical designs, experiments, and deployment processes.

Required Skills

Generative AI
- Experience with LLMs, Prompt Engineering, Fine-Tuning, RAG, Embeddings.
- Knowledge of frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar.

Agentic AI
- Experience building multi-agent systems and autonomous workflows.
- Understanding of planning, memory, reasoning, tool calling, and agent orchestration.

Data Science & Machine Learning
- Solid knowledge of Machine Learning, Deep Learning, NLP, and Statistical Modeling.
- Experience with Python, Pandas, NumPy, Scikit-learn, TensorFlow

📌 Data Science or Machine Learning Engineer (India)
🏢 Sparix Global
📍 India

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