Machine Learning Engineer

Machine Learning Engineer with experience in building real-world AI solutions, modern ML and LLM technologies, and scalable training and inference pipelines. Strong expertise in Python ML stack, LLM-based systems, and forecasting models. Collaborative and effective communication skills.

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
• Hands-on experience integrating and optimizing LLM-based systems (OpenAI API, LangChain, fine-tuning workflows, RAG pipelines)
• Solid knowledge of forecasting models: regression, time-series, probabilistic approaches
• Experience building and maintaining confidence scoring systems using hybrid rule-based + ML methods
• Deep understanding of model evaluation, bias detection, drift analysis, and performance analytics
• 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

Benefits

• Celebrations
• Special discounts
• Entertainment area
• Modern Work Spaces
• Great work environment
• Private medical insurance