Sign up for our
weekly
newsletter
of fresh jobs
Position Responsibilities :• Design and implement machine learning models and algorithms to address business challenges, with a focus on Generative AI applications• .Collaborate with data scientists and domain experts to understand requirements, gather data, and develop solutions that meet business objectives• .Develop and maintain scalable and efficient codebase for training, testing, and deploying machine learning models in production environments• .Conduct research and experiment with new techniques and algorithms to improve model performance and accuracy• .Work closely with software engineers and DevOps teams to integrate machine learning models into existing systems and infrastructure• .Collaborate with stakeholders to understand feedback and iterate on machine learning models to continuously improve performance and user experience.Qualification• s:US Citizenship required for this r• oleBachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related fie• ld.10+ years of hands-on experience in developing and deploying machine learning models and algorithms, with a focus on Generative• AI.Proficiency in programming languages such as Python, with experience in machine learning libraries such as OpenAI, TensorFlow, PyTorch, or Ker• as.Strong understanding of machine learning concepts and algorithms, including deep learning frameworks, reinforcement learning, and natural language processi• ng.Experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying machine learning models at sca• le.Solid understanding of software engineering principles and best practices, including version control, testing, and deployment pipelin• es.Excellent problem-solving skills and ability to think creatively to develop innovative solutions to complex proble• ms.Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environme• nt.Proven track record of delivering high-quality machine learning solutions on time and within budget in a fast-paced and dynamic environment.