As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing cutting-edge machine learning models and algorithms. You will work closely with a cross-functional team of data scientists, software engineers, and product managers to solve complex business problems, improve existing models, and explore new opportunities using machine learning techniques.
Key responsibilities:
• Collaborate with data scientists to understand business requirements and translate them into machine learning solutions
• Design and develop machine learning models and algorithms using various techniques such as deep learning, natural language processing, and statistical modeling
• Optimize and fine-tune models to improve performance and accuracy
• Develop data preprocessing pipelines and feature engineering techniques
• Work with large-scale, diverse data sets to extract valuable insights
• Deploy machine learning models into production systems
• Monitor model performance and make continuous improvements
• Stay up-to-date with the latest advancements and trends in machine learning and artificial intelligence
Requirements
Requirements:
• Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related field
• 2+ years of experience working as a Machine Learning Engineer or a similar role
• Strong programming skills in languages such as Python or Java
• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn
• Solid understanding of machine learning algorithms and techniques
• Experience with data preprocessing, feature engineering, and data visualization
• Knowledge of cloud platforms and technologies such as AWS or Google Cloud
• Good understanding of software engineering principles and best practices
• Excellent problem-solving and analytical skills
• Strong communication and collaboration abilities to work effectively in a team environment
TECHNICAL REQUIREMENTS:
• Strong Python background with Data Science and ML Operations
• Experience with Flask, Fast API, Docker/Kubernetes
• RESTful API - OpenAPI and Swagger
• Familiarity with Kubernetes
• MongoDB
• Background with MEAN/MERN microservices as over 1,000 Microservices innovations are in production
• Angular, Node
