About BeGig
BeGig connects companies with engineers who build AI-first features and ML-driven systems.
Your Opportunity
Join BeGig as an AI/ML Engineer and build, fine-tune, and deploy ML and deep learning models powering automation and intelligence.
Role Overview
As an AI/ML Engineer, you will:
Train and optimize ML/DL models using real datasets.
Build inference pipelines and deploy models to production.
Work with embeddings, transformers, and modern ML architectures.
Implement experiments, evaluate performance, and track drift.
Collaborate with product and engineering teams on AI-driven features.
Technical Requirements & Skills
Experience: 2–4 years in ML or AI engineering.
Tools: PyTorch, TensorFlow, ONNX, HuggingFace.
Skills: Model training, feature engineering, evaluation metrics.
Bonus: Experience with RAG, LLM fine-tuning, or agentic architectures.
What We’re Looking For
ML engineer comfortable with experimentation and deployment.
Strong mathematical grounding and debugging ability.
Able to work in fast-moving AI cycles.
Why Join Us?
Impact: Build AI capabilities integrated directly into products.
Flexibility: Applied AI roles across sectors.
Network: Connect with ML and agentic AI specialists.