Junior AI/ML Engineer

• Develop, train, and evaluate machine learning models using Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Build and maintain robust data pipelines using Spark and other data processing tools
• Implement and manage MLOps processes for model deployment, monitoring, and retraining
• Collaborate with data scientists, engineers, and product managers to understand business requirements and translate them into technical solutions
• Write clean, efficient, and well-documented code
• Conduct thorough testing and validation of models and pipelines
• Stay up-to-date with the latest advancements in AI/ML and MLOps
• Contribute to the continuous improvement of our AI/ML infrastructure and processes

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• 1+ years of experience in developing and deploying machine learning models
• Strong programming skills in Python, including experience with relevant ML libraries
• Experience with Spark for data processing and pipeline development
• Understanding of MLOps principles and tools
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP)
• Excellent communication and teamwork skills
• A strong desire to learn and grow in the field of AI/ML

• Experience with containerization technologies (e.g., Docker, Kubernetes)
• Familiarity with CI/CD pipelines
• Contributions to open-source projects

Best-in-class benefits they need to be well, live well and save well