
Unlock AI Innovation Lead
1 week ago
We are seeking a highly experienced professional to join our team as a Senior Machine Learning Engineer. The ideal candidate will have at least 5 years of experience in developing and deploying Generative AI-based solutions using OpenAI, Claude, or other Large Language Models (LLMs) in production environments.
- Main Responsibilities:
- Develop and deploy GenAI-based solutions using OpenAI, Claude, or other LLMs in production environments.
- Design and implement efficient data pipelines using AWS Glue, Data Factory, Databricks, or similar.
- Collaborate with cross-functional teams to develop and deploy ML models using Scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers.
- Implement MLOps and CI/CD pipelines using AWS CodePipeline, GitHub Actions, Azure DevOps.
- Stay up-to-date with the latest advancements in AI/ML, including classic ML concepts, model selection, evaluation, hyperparameter tuning, bias mitigation, and interpretability.
- Minimum 5 years of experience in AI/ML and software development.
- At least 2 years of experience in Generative AI.
- Strong proficiency in Python and API development (REST, GraphQL).
- Familiarity with AI/ML frameworks: Scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers.
- Knowledge of data pipelines using AWS Glue, Data Factory, Databricks, or similar.
- Understanding of agentic AI principles: LLMs, memory, reasoning, tool use, and autonomy as applied in AiDE Agents and Model Context Protocol (MCP).
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