Machine Learning Engineer

At Neostella, we take a customer-centric approach and use cutting-edge technologies to deliver solutions to meet the unique needs of our clients’ business. We show them how hyperautomation can free up time to focus on higher impact work and take their business to the next level. In order to continue our growth, we are seeking a Machine Learning Engineer! By joining our team, you’ll work in a fast-paced, rapidly growing, startup environment. The ideal candidate will be responsible for working closely with our and software development teams to design and implement cutting-edge machine learning algorithms that drive our products and services. This role requires a passion for hyperautomation and a mentality of starting with the client in mind first. The growth potential and opportunities here are endless and we want you to be a part of our journey. Curious what your day would look like as a Machine Learning Engineer? Check out the details below!

Key Responsibilities:

• Implement, train, and maintain machine learning models that drive our products and
• services.
• Work with software developers to ensure seamless integration of machine learning models.
• Optimize machine learning algorithms for performance and scalability.
• Conduct research and stay up-to-date with the latest developments in machine learning techniques, tools, and frameworks.
• Develop tools and processes to automate machine learning workflows.
• Collaborate with cross-functional teams to improve product features.
• Perform analytics, visualization and reporting related to machine learning projects.

Requirements

• At least 3 years of experience in machine learning or related field.
• Strong programming skills in Python or similar languages.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, Keras, or similar.
• Experience with AWS cloud infrastructure, specifically Sagemaker
• Excellent analysis, design, and problem-solving skills.
• Strong verbal and written communication skills.

Benefits

You will have Undefined Contract, a fast and deep growing career path, pre-paid health insurance coverage with Sura for you and one additional member of your family, flex time, flexibility to work from home or in the office, yearly ophthalmological health bonus, and the opportunity to improve your English skills by working side-by-side with international teams and projects, apart from fully personalized English classes, and more!

*All resumes and application answers must be in English