Senior Machine Learning Manager

About the role

As a , you will play a pivotal role in shaping the future of our machine learning initiatives. You will lead a talented team of data scientists and engineers, driving the development and implementation of innovative machine learning solutions that enhance user experience and optimize our streaming services. This position requires a blend of technical expertise, leadership skills, and strategic vision to ensure that our machine learning projects align with business goals and deliver measurable results.

Key facts

What you'll do

• Lead and mentor a diverse team of machine learning engineers and data scientists, fostering a culture of innovation and collaboration.
• Design and implement scalable machine learning models that improve content recommendations, user engagement, and overall platform performance.
• Collaborate with cross-functional teams, including product management, engineering, and data analytics, to identify opportunities for machine learning applications that drive business growth.
• Oversee the end-to-end machine learning lifecycle, from data collection and preprocessing to model deployment and monitoring, ensuring high standards of quality and performance.
• Evaluate and select appropriate machine learning frameworks and tools, staying abreast of industry trends and advancements to maintain a competitive edge.
• Develop and maintain robust data pipelines to support machine learning initiatives, ensuring data integrity and accessibility.
• Conduct regular performance reviews of machine learning models and iterate on them based on user feedback and changing business needs.
• Present findings and insights to stakeholders, translating complex technical concepts into actionable strategies that align with company objectives.
• Drive research and development efforts in emerging areas of machine learning, such as deep learning, natural language processing, and reinforcement learning.
• Establish best practices for machine learning development, including code reviews, documentation, and version control, to enhance team productivity and project transparency.
• Participate in recruiting efforts to attract top talent in the field of machine learning, contributing to the growth of the team and the organization.
• Engage in continuous learning and professional development, encouraging team members to pursue new skills and certifications relevant to machine learning technologies.

Requirements

• A Master's or PhD degree in Computer Science, Data Science, Machine Learning, or a related field.
• At least 5 years of experience in machine learning, with a proven track record of leading successful projects from conception to deployment.
• Strong programming skills in Python, R, or Java, along with experience in machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Solid understanding of statistical analysis, data mining, and predictive modeling techniques.
• Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure) and big data technologies (e.g., Hadoop, Spark).
• Excellent problem-solving skills and the ability to think critically about complex data challenges.
• Strong leadership and interpersonal skills, with the ability to inspire and motivate a team.
• Familiarity with Agile methodologies and experience working in an Agile environment.

Nice to have

• Experience in the streaming media industry or a related field.
• Knowledge of user experience design principles and how they relate to machine learning applications.
• Familiarity with A/B testing and experimentation frameworks.
• Contributions to open-source machine learning projects or publications in relevant conferences/journals.
• Experience with deploying machine learning models in production environments.

Skills & tools

• Proficient in programming languages such as Python, R, or Java.
• Familiar with machine learning frameworks including TensorFlow, Keras, and Scikit-learn.
• Experience with data visualization tools like Tableau or Power BI.
• Knowledge of database management systems, both SQL and NoSQL.
• Understanding of cloud services and infrastructure for machine learning applications.

Practical notes

• This position is based in Bengaluru, India, and may require occasional travel for team meetings or conferences.
• Candidates should be prepared to provide examples of past machine learning projects and discuss their impact on business outcomes.
• The role may involve working with sensitive data, so adherence to data privacy regulations and best practices is essential.
• Interested applicants can apply through the provided link: https://www.weareroku.com/jobs/7648993?gh_jid=7648993.