Job
Description
As a Machine Learning (ML) Engineer you will work alongside an engineering team that builds RadarRadar machine learning tools for our clients. We are looking for an individual with deep experience in designing, implementing, assessing, and refining machine learning models. You love to work- and think progressively, because as first movers we need to stay ahead of market trends and deliver first class products. What will you do: Design and implement ML/AI solutions to optimize and enhance the RadarRadar product suite. Adhering to high quality development principles while delivering solutions on time. Participate in scrum related activities (stand-ups, planning, demo sessions, etc.) Work closely with cross-functional teams, including product, and engineering, to align ML/AI capabilities with business goals. Create technical documentation and specifications for feature integrations. Conduct research/implementation of latest industry standard best practices. Break down, estimate, and implement features containing multiple tasks. Review, assess and improve the full set of activities presented above. What will you bring: 3+ years of professional experience as a ML engineer or a similar role. Proficiency with state-of-the-art ML models and frameworks (e.g., Keras, NumPy, scikit-learn, PyTorch, TensorFlow). Knowledge/interest in current progressions in the AI world and interest in enterprise level development of AI models using LLM APIs (e.g. OpenAI, Gemini, Claude, Anthropic). Expertise in hyperparameter tuning to optimize model performance. Familiarity with Explainable AI (XAI) techniques. Advanced Python programming skills (min. 2 years of experience). T-SQL (SQL Server) proficient level of knowledge (min. 1-2 years), experience working with stored procedures, functions, triggers, indexes, dynamic SQL, query performance tuning. Comfortable with complexity and pursuit of excellent results, willing to learn on the job. A proactive thinker who can work independently and bring innovative ideas. Balances hard skills with interpersonal ability. Strong knowledge of clean code principles. Ability to work in a collaborative manner.
