Role & responsibilities

Mandatory Skills

- Proficiency in Python, Machine Learning, REST API development, FastAPI, and SQL.
- Experience designing and deploying production-grade ML and LLM systems in enterprise environments.
- Solid experience with data processing, cleansing, validation, and ensuring data integrity for analysis and model development.
- Conduct data quality checks, exploratory analysis, and performance evaluation to guide model and system design.
- Demonstrated expertise in building end-to-end ML pipelines, including data structures, transformations, and deployment pipelines.
- Strong understanding of statistical modelling techniques such as Regression, Clustering, Decision Trees, and Logistic Regression.
- Familiarity with machine learning algorithms such as KNN, Random Forests, Ensemble Methods,



and probabilistic models.
- Experience with Large Language Models such as GPT, BERT, or similar architectures, including prompt engineering and solution design.
- Hands-on experience with vector databases, embeddings, and retrieval pipelines.
- Familiarity with agent frameworks and orchestration patterns such as LangChain, Semantic Kernel, AutoGen, or similar.
- Knowledge of observability and monitoring tools for AI systems, including logging, tracing, and telemetry.
- Strong understanding of microservices architecture and API-first design principles.

Regards, Gopala BR [email protected]

📌 Lead Data Scientist - Bangalore (Bengaluru)
🏢 Allegis Global Solutions (AGS)
📍 Bengaluru