Unlock Your Potential as a Machine Learning Engineer
We're seeking a talented professional to join our AI team as a Machine Learning Engineer. As part of this role, you will have the opportunity to design, train, fine-tune, and deploy machine learning (ML) and large language model (LLM) models that power autonomous exception resolution, anomaly detection, and explainable insights.
* Design, train, fine-tune, and deploy ML/LLM models for production use cases.
* Develop retrieval-augmented generation (RAG) pipelines using vector databases and frameworks like LangChain, LangGraph, and MCP.
* Implement prompt engineering, optimization, and safety techniques for agentic LLM interactions.
* Collaborate with data engineering teams to maintain data pipelines for ML workloads.
* Conduct feature engineering and embeddings generation on structured and unstructured data.
* Implement model monitoring, drift detection, and retraining pipelines.
* Explore emerging LLM/SLM architectures and multi-agent orchestration patterns.
* Mentor junior engineers and contribute to best practices in ML engineering.
Required Skills and Qualifications:
* Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
* 3+ years of experience building and deploying ML systems.
* Strong Python skills and experience with PyTorch, TensorFlow, Scikit-Learn, and Hugging Face Transformers.
* Hands-on experience with LLMs/SLMs including fine-tuning, prompt design, and inference optimization.
* Familiarity with at least two of the following: OpenAI GPT, Anthropic Claude, Google Gemini, Meta LLaMA.
About This Opportunity:
You will be part of a dynamic team working on cutting-edge AI projects. We offer a collaborative environment where you can grow professionally and personally. If you are passionate about ML engineering and want to make a real impact, we encourage you to apply.