Machine Learning Engineer

At Neostella, we adopt a customer-focused approach, utilizing state-of-the-art technologies to provide solutions tailored to our clients' unique business needs. We demonstrate to them how hyperautomation can free up time for higher-impact work and elevate their business. To sustain our growth, we're looking for a Machine Learning Engineer! As part of our team, you'll work in a fast-paced, rapidly growing startup environment. The ideal candidate will closely collaborate with our software development teams to design and implement advanced machine learning algorithms that power our products and services. This role requires a passion for hyperautomation and a client-first mindset. The growth and opportunities here are limitless, and we want you on board for our journey. Curious about a day in the life of a Machine Learning Engineer at Neostella? Read on for more details! Key Responsibilities: - Implement, train, and maintain machine learning models that power our products and services. - Collaborate with software developers to ensure seamless integration of machine learning models. - Optimize machine learning algorithms for performance and scalability. - Conduct research and stay updated with the latest advances in machine learning techniques, tools, and frameworks. - Develop tools and processes to automate machine learning workflows. - Collaborate with cross-functional teams to enhance product features. - Carry out analytics, visualization, and reporting related to machine learning projects. Requirements - Minimum 3 years of experience in machine learning or a related field. - Strong programming skills in Python or similar languages. - Experience with machine learning frameworks such as TensorFlow, PyTorch, Keras, or equivalent. - Experience with AWS cloud infrastructure, specifically Sagemaker. - Excellent analytical, design, and problem-solving abilities. - Strong verbal and written communication skills. Benefits You will have an undefined contract, an accelerated and diverse career path, pre-paid health insurance coverage from Sura for you and one additional family member, flexible work hours, the option to work from home or in the office, an annual ophthalmological health bonus, and the opportunity to improve your English skills by working with international teams and projects, in addition to the personalized English classes, and much more! *All resumes and application responses must be submitted in English.