We are seeking a skilled ML Engineer to design, build, and deploy advanced ML solutions that drive analytics, anomaly detection, and data classification across enterprise-scale environments.
Requirements
- Bachelor’s degree in computer science, data science, or related field.
- 3+ years of experience in Machine Learning engineering or ML-adjacent roles (data science, MLOps, AI).
- Strong programming proficiency in Python, familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Hands-on experience with LLMs, prompt engineering, vector embedding techniques, or related technologies.
- Proficiency with big data platforms like Databricks, PySpark, and cloud services (Azure, AWS)
- Experience with MLOps tools and deployment (CI/CD, containerization, Kubernetes, etc.).
- Experience with vector DBs, retrieval-augmented generation (RAG) frameworks like Langchain