Senior Data Scientist
First seen by Alion on Sep 10, 2026.
Job Description :
We are looking for a Senior Data Scientist with strong hands-on experience in machine learning, GenAI, NLP, and LLM-based solutions. The role will involve developing, deploying, and scaling production-grade AI solutions using Python, cloud platforms, and MLOps practices.
Key Responsibilities :
- Design, develop, and deploy scalable machine learning and GenAI solutions for business use cases.
- Develop predictive and statistical models using Python, with strong focus on model performance, scalability, and production readiness.
- Work on NLP, LLM, and Generative AI use cases including text processing, embeddings, semantic search, and intelligent applications.
- Develop solutions using LLM APIs and open-source LLMs, including prompt engineering and model integration.
- Work with NLP and transformer-based models such as BERT and other relevant architectures.
- Perform exploratory data analysis, feature engineering, model development, validation, and performance optimization.
- Build and expose AI/ML solutions through APIs and production services.
- Implement ML deployment, monitoring, versioning, and automation using MLOps practices.
- Work with cloud platforms, preferably Microsoft Azure, to build and deploy scalable AI/ML solutions.
- Collaborate with Data Engineers, Software Engineers, Product teams, and business stakeholders to translate requirements into production-ready AI solutions.
- Stay current with developments in GenAI, LLMs, NLP, ML frameworks, and AI engineering practices.
Required Skills :
- 8 - 13 years of experience in Data Science / Machine Learning / AI, with strong hands-on development experience.
- Strong proficiency in Python and machine learning libraries/frameworks.
- Strong experience in Machine Learning, GenAI, LLMs, and NLP.
- Hands-on experience with LLM APIs, open-source LLMs, embeddings, and transformer-based models such as BERT.
- Experience with PyTorch and/or TensorFlow.
- Strong understanding of model development, validation, EDA, feature engineering, and statistical techniques.
- Experience deploying ML/AI models and applications in production.
- Good understanding of MLOps, model monitoring, versioning, and CI/CD.
- Experience with at least one major cloud platform; Azure preferred.
- Strong understanding of REST APIs and production-grade AI/ML services.
- Strong problem-solving, communication, and stakeholder management skills.
Skills
Data Science, Generative AI, NLP, LLM, Azure, Machine Learning, Artificial Intelligence, PyTorch, Tensorflow, EDA, Prompt Engineering