Machine Learning Engineer to build real-world AI solutions, collaborate with engineering and product teams, and stay ahead of emerging AI advancements. Mentorship opportunities and a strong company culture.
Requirements
- Bachelor’s Degree or higher in Computer Science, Computer Engineering, Data Science, or related field
- Strong expertise with the Python ML stack: scikit-learn, pandas, NumPy
- Experience with LLM-based systems, forecasting models, confidence scoring systems, model evaluation, and bias detection
- Ability to design and implement training, inference, and continuous-improvement pipelines
- Familiarity with MLOps practices, including model versioning, monitoring, and retraining cycles
- Experience with vector databases such as FAISS, Pinecone, Weaviate and HuggingFace Transformers
- Strong analytical, problem-solving, and system-thinking abilities
- Excellent communication and documentation skills for collaborating across technical and non-technical teams
- Experience mentoring engineers or leading ML initiatives
- Cloud experience with AWS, Azure, or GCP; familiarity with distributed data processing
Benefits
- Opportunity to work with modern ML and LLM technologies
- Collaborative team environment
- Mentorship opportunities
- Strong company culture
- Opportunities for growth and ownership