The company is seeking a Machine Learning Engineer to design, develop, and deploy scalable AI/ML models that drive insights and innovation, integral to advancing the team’s initiatives by building data-driven solutions, optimizing performance, and ensuring continuous improvement of deployed systems.
Requirements
- 3+ years of experience in machine learning, AI, or data science
- Proficient in Python, R, or Java
- Familiar with machine learning frameworks (TensorFlow, PyTorch)
- Familiar with cloud platforms
- Familiar with MLOps practices
- Knowledge of reinforcement learning, NLP, computer vision, and big data technologies (Spark, Hadoop, SQL) is a plus
- Experience deploying models with Docker, Kubernetes, or serverless architectures preferred
Responsibilities
- design, develop, and deploy scalable AI/ML models
- building data-driven solutions
- optimizing performance
- ensuring continuous improvement of deployed systems
- design, train, and implement machine learning models and AI algorithms to support data-driven solutions
- preprocessing and analyzing datasets
- optimizing model performance
Other
- hybrid contract role
- Passion for advancing AI technologies
- strong problem-solving and analytical skills
- Skilled in collaborating with cross-functional technical and business teams
- Able to work independently and manage multiple projects simultaneously
