Senior Machine Learning Engineer

Senior Machine Learning Engineer As one of our Senior Machine Learning Engineers, you will lead the design and development of ML applications across our product portfolio, with a strong focus on generative AI and large language model (LLM) solutions. You will be a hands-on technical leader, providing architecture and shaping coding standards. You will evangelize best practices for software engineering including design, development, and lifecycle maintenance, and will partner with multiple software teams to ensure seamless integration of ML models into our products. Your responsibilities will include: • Designing and developing ML applications using various frameworks such as TensorFlow, PyTorch, or Keras. • Collaborating with cross-functional teams to integrate ML models into our product portfolio. • Developing and maintaining large-scale machine learning models for natural language processing (NLP) and computer vision tasks. • Partnering with data scientists to develop and deploy predictive analytics models. • Providing technical guidance and mentorship to junior engineers on the team. • Staying up-to-date with industry trends, advancements in ML, and emerging technologies. In return for your expertise and dedication, we offer a competitive compensation package, including: • A comprehensive benefits program that includes medical, dental, and vision insurance, as well as 401(k) matching. • Opportunities for professional growth and development through training, mentorship, and networking with industry leaders. • A dynamic and collaborative work environment that fosters innovation and creativity. Requirements: • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. • 5+ years of experience in machine learning engineering, with a focus on generative AI and LLM solutions. • Strong programming skills in languages such as Python, Java, or C++. • Experience with ML frameworks like TensorFlow, PyTorch, or Keras. • Knowledge of data structures, algorithms, and software design patterns. • Excellent communication and collaboration skills. Preferred Qualifications: • Ph.D. in Computer Science, Machine Learning, or a related field. • 3+ years of experience as a technical lead or team lead. • Experience with cloud-based services like AWS, GCP, or Azure. • Familiarity with DevOps practices and tools like Docker, Kubernetes, or Jenkins.