As a Machine Learning Engineer, you'll focus on creating and implementing machine learning solutions. Your strong software engineering skills will be essential in developing production-grade applications.
In this role, you'll be part of a dynamic team dedicated to developing machine learning and AI solutions. Your main responsibility will be to design, build, and deploy production-grade machine learning models that can handle real-world data and scenarios. You will work closely with data scientists and software engineers to ensure that the solutions are robust and scalable.
Your day-to-day tasks will involve writing clean and efficient code in Python, utilizing various data science libraries to analyze and manipulate data. You will also be responsible for developing REST APIs to integrate machine learning models into applications, ensuring seamless communication between different software components. Version control using Git will be a key part of your workflow, allowing for collaboration and code management.
This role is ideal for someone with a strong background in software engineering and a passion for machine learning. You should be comfortable working with data and have a solid understanding of advanced data analysis techniques. If you enjoy solving complex problems and are eager to contribute to innovative projects, this position could be a great fit for you.
Key requirements include proficiency in Python and familiarity with SQL and data science libraries. Experience in developing REST APIs and using Git for version control will also be crucial for success in this role.
You'll be taken to the original listing on CareerJet to apply.