Machine Learning Engineer

Required skills

Bachelor's Degree in a relevant technical field such as computer science and 3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a relevant technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience. Experience developing machine learning models for supervised, unsupervised, ranking, or other relevant applications of machine learning. Strong understanding of machine learning approaches and algorithms. Experience working with machine learning frameworks such as TensorFlow, PyTorch, Spark ML, scikit-learn, or related frameworks. Ability to work with both internal and external partners. Strong collaboration and mentorship skills. Entrepreneurial Mindset: Highly self motivated and adaptable with a passion for innovation, problem-solving, and making a meaningful impact in a startup environment. Willingness to take ownership and drive projects from concept to implementation. Technologies: TensorFlow, PyTorch, Spark ML, scikit-learn. Responsibilities: Create ML models which help drive value for users and our company. Build scalable ML model training and serving infrastructure. Evaluate the technical tradeoffs of every decision. Perform code reviews and ensure exceptional code quality. Iterate quickly without compromising quality. Seniority: Experienced. Domain: Industrial asset reliability, machine learning, AI Agents, industrial data, sensor/IoT data.