Machine Learning Architect Lead

We offer a competitive salary, benefits package, and a collaborative and innovative work environment

Job Title: Machine Learning Architect Lead

Location: San Francisco, California, United States

Salary: $285000 - $352000

We are seeking a highly skilled and experienced Machine Learning Architect Lead to join our dynamic team. As a Machine Learning Architect Lead, you will be responsible for designing and implementing cutting-edge machine learning solutions to solve complex business problems. You will work closely with cross-functional teams to identify business needs, define project requirements, and develop strategic solutions.

Key Responsibilities:

• Lead the development and implementation of machine learning solutions, including data acquisition, preprocessing, feature engineering, model training, and deployment.
• Collaborate with data scientists and engineers to design and build scalable and robust machine learning pipelines.
• Conduct research and stay up-to-date with the latest advancements in machine learning techniques, algorithms, and tools.
• Evaluate and select the most appropriate machine learning models to address business challenges.
• Develop and maintain high-quality, reusable code and libraries for machine learning projects.
• Provide technical guidance and mentorship to data scientists and engineers on machine learning best practices.
• Communicate complex technical concepts and solutions to non-technical stakeholders.
• Identify and resolve technical issues and roadblocks to ensure timely delivery of projects.
• Continuously monitor and improve the performance of machine learning models in production.
• Collaborate with cross-functional teams to ensure alignment of machine learning projects with business goals.
• Lead the development and implementation of data governance and security policies for machine learning projects.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Minimum of 5 years of experience in machine learning development, with at least 2 years in a lead or architect role.
• Strong expertise in machine learning algorithms, techniques, and frameworks, such as TensorFlow, Keras, PyTorch, and scikit-learn.
• Experience with big data technologies, such as Hadoop, Spark, and Kafka.
• Proficiency in programming languages such as Python, Java, or C++.
• Excellent problem-solving skills and the ability to think creatively to develop innovative solutions.
• Strong communication skills and the ability to effectively collaborate with cross-functional teams.
• Experience with cloud computing platforms, such as AWS, Azure, or Google Cloud.
• Experience with containerization technologies, such as Docker and Kubernetes.
• Familiarity with agile methodologies and project management tools, such as JIRA or Trello.
• Strong understanding of data governance and security principles.
• Experience in developing and deploying machine learning models in a production environment is a plus.

If you are passionate about machine learning and have a track record of delivering successful projects, we would love to hear from you. Join our team and be a part of shaping the future of machine learning!