Senior Machine Learning Engineer - Remote Opportunities

About the Role

Join Coody as a Senior Machine Learning Engineer and embrace the opportunity to work remotely while making a significant impact in the tech industry. In this role, you will engage in full-stack machine learning assignments that cover a wide spectrum of tasks, from developing Generative AI models to building robust cloud platforms. This position offers the flexibility of remote work while ensuring you are part of a dynamic team that values innovation and collaboration.

What You'll Do

• Develop and train machine learning models in production environments, ensuring they meet the highest standards of performance.
• Build and maintain cloud platforms using AWS, GCP, or Azure, facilitating seamless deployment and scaling of ML applications.
• Collaborate with cross-functional teams to influence product direction and foster a high-trust team culture.
• Utilize modern ML/AI libraries such as PyTorch and TensorFlow to create cutting-edge solutions.
• Monitor, debug, and optimize ML infrastructure to enhance operational efficiency.
• Engage in complex problem-solving across various industries, delivering real impact from day one.

Requirements

• 4+ years of experience in machine learning, with a proven track record of delivering results.
• Strong expertise in Python and familiarity with ML libraries like PyTorch and TensorFlow.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
• Knowledge of data tools such as Spark, Dask, and PySpark.
• A degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• Fluency in English, both spoken and written.

Nice to Have

• Experience with Generative AI and advanced ML techniques.
• Familiarity with Apache Beam and other data processing frameworks.

What We Offer

• Competitive salary with a typical +40% increase compared to industry standards.
• Comprehensive benefits package including pension, insurance, and paid vacation.
• Access to a substantial educational fund for personal and professional development.
• Flexible working arrangements that prioritize your work-life balance.
• Opportunities to work with leading companies across various sectors including Gaming, Fintech, and AI.