Machine Learning Engineer - RAG/LLM

Description :

About BeGig :

BeGig connects founders with experienced ML engineers who build production-grade AI models and pipelines.

Your Opportunity.

Join BeGig as a Machine Learning Engineer and design, train, deploy, and maintain ML models that solve real business problems.

Role Overview :

As a Machine Learning Engineer, you will :

- Build and deploy ML models for prediction, classification, optimization, or generation.

- Work on end-to-end ML pipelines : data prep ? training ? evaluation ? deployment.

- Implement RAG, embeddings, and LLM-powered workflows when required.

- Monitor model performance, drift, and reliability.

- Collaborate with data, product, and engineering teams.

Technical Requirements & Skills :

- Experience : 3+ years in ML engineering.

- Tools : TensorFlow, PyTorch, scikit-learn.

- Infra : MLflow, DVC, Airflow, SageMaker, Vertex AI.

- Languages : Python + strong understanding of data structures.

- Concepts : Deep learning, feature engineering, model optimization.

What Were Looking For :

- Engineer comfortable taking ML models into production.

- Strong analytical thinker who understands model limitations.

- Adaptable to fast-evolving AI tooling.

Why Join Us? :

- Impact : Build AI systems that directly impact business outcomes.

- Flexibility : ML roles across SaaS, automation, finance, and enterprise systems.

- Growth : Work with top-level ML engineers and AI teams