Data Scientist
First seen by Alion on Sep 29, 2026.
Develop, maintain and enhance Python-based applications, ML services and AI solutions.
Design and implement scalable, reusable and production-ready software components using Python and open-source AI/ML frameworks.
Develop and deploy machine learning and deep learning models for real-world business use cases.
Work with Generative AI and Large Language Models (LLMs), including RAG, prompt engineering, model evaluation, fine-tuning and knowledge-based AI solutions.
Develop AI/ML pipelines for classification, regression, forecasting, NLP and other machine learning use cases.
Work with frameworks and libraries such as PyTorch, LangChain, LlamaIndex, Hugging Face, Scikit-learn, Pandas and Spark.
Design and implement RAG-based solutions and LLM applications using enterprise and customer-specific data.
Develop APIs and microservices for AI/ML solutions using technologies such as FastAPI.
Work with structured and unstructured data using RDBMS, NoSQL and distributed data-processing platforms.
Develop data processing and engineering pipelines using technologies such as Apache Spark / PySpark.
Build and maintain ML training, model evaluation and deployment pipelines.
Strong hands-on experience with Python.
Good understanding of software engineering principles and development of scalable, reusable applications.
Experience with REST APIs and/or microservices, preferably using FastAPI.
Strong understanding of machine learning and deep learning concepts.
Hands-on experience with PyTorch and/or TensorFlow.
Experience with machine learning techniques including classification, regression, forecasting, NLP and deep learning.
Experience developing and deploying production-grade ML models.
Skills
Deep Learning, API Development, TensorFlow, Machine Learning, Scalability, Classification, Artificial Intelligence, Business Modeling, LangChain, PyTorch, LLMs, Python, Developing Frameworks, Develop Software Components, Rest Apis, Services Solutions, Generative AI Model Evaluation, API