Jr. Data Scientist 

Job Description

Responsibilities include:

Developing machine learning and GenAI solutions for business use cases.

Building models for prediction, classification, recommendation, forecasting, anomaly detection and NLP.

Designing RAG pipelines using embeddings, vector databases and LLMs.

Working with structured and unstructured data.

Building data and ML pipelines for training, evaluation, deployment and monitoring.

Integrating AI models into APIs, applications and enterprise workflows.

Evaluating model quality, reliability, cost, latency and business impact.

Applying responsible AI practices including privacy, security, explainability and human review.

Collaborating with business, engineering and architecture teams.

Required skills:

3–5 years’ experience in data science, machine learning or AI engineering.

Strong Python and SQL skills.

Experience with scikit-learn, XGBoost, PyTorch, TensorFlow or similar.

Experience with NLP, text analytics or document processing.

Hands-on exposure to LLMs, prompt engineering, embeddings, vector search and RAG.

Experience with cloud platforms such as AWS, Azure or Google Cloud.

Understanding of MLOps, CI/CD, model deployment and monitoring.

Strong communication and problem-solving skills.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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