AI/ML Engineer

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Skills you'll use

What you'll do

• 3+ years of work experience in Python programming for AI/ML, deep learning, and Generative AI model development
• Proficiency in TensorFlow/PyTorch, Hugging Face Transformers and Langchain libraries
• Hands-on experience with NLP, LLM prompt design and fine-tuning, embeddings, vector databases and agentic frameworks
• Strong understanding of ML algorithms, probability and optimization techniques
• 6+ years of experience in deploying models with Docker, Kubernetes, and cloud services (AWS Bedrock, SageMaker, GCP Vertex AI) through APIs, and using MLOps and CI/CD pipelines
• Familiarity with retrieval-augmented generation (RAG), cache-augmented generation (CAG), retrieval-integrated generation (RIG), low-rank adaptation (LoRA) fine-tuning
• Ability to write scalable, production-ready ML code and optimized model inference 
• Experience with developing ML pipelines for text classification, summarization and chat agents

Who can apply

• Prior experience with SQL and noSQL databases, and Snowflake/Databricks

About Datazymes

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