Sr GenAI / Machine Learning Engineer

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.
• Mentor junior team members and provide technical guidance and support on machine learning best practices and methodologies.
• Stay up-to-date with the latest advancements in machine learning and AI technologies, and proactively identify opportunities for applying them to solve business problems.

Qualifications:

• US Citizenship required for this role
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 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 Keras.
• Strong understanding of machine learning concepts and algorithms, including deep learning frameworks, reinforcement learning, and natural language processing.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying machine learning models at scale.
• Solid understanding of software engineering principles and best practices, including version control, testing, and deployment pipelines.
• Excellent problem-solving skills and ability to think creatively to develop innovative solutions to complex problems.
• Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Proven track record of delivering high-quality machine learning solutions on time and within budget in a fast-paced and dynamic environment.