About the role
structured by ORIExperience: 0-2 years of experience. Job Summary : We are seeking a highly skilled and motivated Data Science Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech , Enterprise Tech , and Semiconductors .
What you will do
- Develop fine-tune models for NLP, Computer Vision, and multimodal applications, leveraging GenAI frameworks.
- Build autonomous workflows using prompt engineering, API/tool integration, and orchestration frameworks (LangChain, LlamaIndex, AutoGen)
- Monitor, debug, and fine-tune AI agents to improve context handling, error recovery, and response quality.
- Build retrieval pipelines using vector databases such as Pinecone, FAISS, Weaviate or Milvus
- Implement scalable data science workflows on Azure or AWS for marketing, supply chain, or sales analytics projects.
What they are looking for
- Experience: 2+ years in data engineering/data science
- Education: B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field
- Programming: Proficiency in Python , SQL , and libraries for NLP and Computer Vision (e.g., Hugging Face, OpenCV).
- GenAI Expertise: Hands-on experience in model development (selection, fine-tuning), model evaluation and optimization, deployment architecture (design, API/integration design), multi-step reasoning workflows, and autonomous agents
- Cloud Platforms: Experience with Azure and/or AWS in data science workflows.
- Data Science Tools: Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- GenAI & LLM Tooling :LangChain, LlamaIndex, Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone)
- Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake.
Nice to have
- Experience in decision science projects focused on marketing , supply chain , or sales .
- Strong analytical and problem-solving skills with a results-oriented mindset.
- Excellent communication and stakeholder management capabilities.
Full posting text
Experience: 0-2 years of experience.
Job Summary :
We are seeking a highly skilled and motivated Data Science Analyst to lead innovative projects and drive impactful solutions in domains such as Consumer Tech , Enterprise Tech , and Semiconductors . This role combines hands-on technical expertise , and client delivery management to execute cutting-edge projects in Generative AI, decision science, and cloud-based analytics.
Key Responsibilities
Generative AI Expertise
Develop fine-tune models for NLP, Computer Vision, and multimodal applications, leveraging GenAI frameworks.
Build autonomous workflows using prompt engineering, API/tool integration, and orchestration frameworks (LangChain, LlamaIndex, AutoGen)
Monitor, debug, and fine-tune AI agents to improve context handling, error recovery, and response quality.
Build retrieval pipelines using vector databases such as Pinecone, FAISS, Weaviate or Milvus
Cloud Platform Expertise
Implement scalable data science workflows on Azure or AWS for marketing, supply chain, or sales analytics projects.
Leverage cloud-native tools for model training, deployment, and monitoring (e.g., SageMaker, Azure Machine Learning).
Data Science and Engineering
Perform advanced analytics using Python , SQL , and machine learning frameworks like TensorFlow or PyTorch.
Develop predictive models, recommendation systems, and optimization solutions tailored to business needs.
Manage large-scale datasets, preprocessing pipelines, and feature engineering for diverse data modalities.
Qualification
Required
Qualifications
Experience: 2+ years in data engineering/data science
Education: B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field
Technical Skills
Programming: Proficiency in Python , SQL , and libraries for NLP and Computer Vision (e.g., Hugging Face, OpenCV).
GenAI Expertise: Hands-on experience in model development (selection, fine-tuning), model evaluation and optimization, deployment architecture (design, API/integration design), multi-step reasoning workflows, and autonomous agents
Cloud Platforms: Experience with Azure and/or AWS in data science workflows.
Data Science Tools: Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
GenAI & LLM Tooling :LangChain, LlamaIndex, Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone)
Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake.
Preferred Skills
Experience in decision science projects focused on marketing , supply chain , or sales .
Strong analytical and problem-solving skills with a results-oriented mindset.
Excellent communication and stakeholder management capabilities.
Additional Information:
- The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients
- This position is based at our Bengaluru (preferred), Kolkata and Hyderabad office.
Key skills: advanced analytics, applied mathematics, azure data lake, debug, azure machine learning, client delivery, ai, cloud platforms, cloud platform, data engineering, analytics, cloud, data science, computer vision, bigquery, aws, architecture, azure.
Role: Data Science & Machine Learning - Other
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Education: UG: Any Graduate
Education: PG: Any Postgraduate