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Head of Machine Learning Job Description Template

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General overview of the role

The Head of Machine Learning is a senior leadership role responsible for overseeing the development and execution of the machine learning strategy across the organization. This role also involves leading a team of data scientists, engineers, and analysts to develop innovative AI and machine learning solutions that achieve business goals. The individual will work closely with executive leadership to align initiatives with organizational objectives, ensuring projects are delivered on time, within budget, and at a high-quality standard.

Typical duties and responsibilities

  • Develop and execute the company’s machine learning strategy, aligning it with business goals.
  • Lead and mentor a team of machine learning engineers, data scientists, and analysts, fostering innovation and collaboration.
  • Oversee the full cycle of machine learning projects, from research and prototyping to deployment and production.
  • Collaborate with product, engineering, and business teams to identify key machine learning opportunities that drive business value.
  • Advocate for best practices in model validation, testing, and performance monitoring.
  • Work closely with cross-functional teams to ensure the seamless integration of machine learning models into business processes and products.
  • Stay abreast of the latest trends and advancements in machine learning and AI technologies, integrating new methods and tools where appropriate.
  • Manage budgets, resources, and timelines for machine learning initiatives, ensuring projects are delivered successfully and efficiently.
  • Promote a data-driven culture across the organization by advocating for the use of machine learning insights in decision-making.
  • Report progress, challenges, and performance metrics to senior leadership.

Required skills and experience

  • Advanced degree (Master’s or Ph.D.) in Computer Science, Data Science, Machine Learning, or a related field.
  • 10+ years of experience in machine learning, AI, or data science, including at least 5 years in leadership or management roles with a proven track record of delivering results.
  • Strong technical expertise in machine learning algorithms, statistical modeling, and data analysis techniques.
  • Expertise in programming languages such as Python, R, or Java, with experience using machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Experience with cloud platforms (AWS, GCP, Azure) and scalable machine learning systems.
  • Expertise in designing and implementing best practices for machine learning workflows, including validation, testing, and performance monitoring.
  • Deep knowledge of model deployment, monitoring, and optimization in real-world environments.
  • Exceptional problem-solving, strategic thinking, and communication skills, including the ability to present complex concepts to non-technical stakeholders.

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Nice to have/preferred skills and experience(not required)

  • Experience with advanced machine learning techniques, including deep learning, reinforcement learning, and natural language processing (NLP).
  • Familiarity with MLOps practices and tools for automating model deployment, monitoring, and maintenance.
  • Knowledge of data privacy regulations, ethical considerations in machine learning, and their application in real-world scenarios.
  • Background in developing AI products or solutions within a commercial environment, with exposure to big data technologies like Hadoop, Spark, and Kafka.
  • Strong business acumen and the ability to align machine learning initiatives with strategic business goals to drive measurable outcomes.

What we offer

  • Extensive health and wellness coverage.
  • Work-from-home options and flexible hours.
  • Paid time off for vacations, holidays, and sick leave.

Here are a few more benefits that, according to Forbes, are valued by employees:

  • Retirement savings plans with employer matching, such as 401(k) plans, are highly valued by employees.
  • Early leave on Fridays.
  • 4-day work week.
  • Private dental insurance.

About us

We recommend including general information about the company, such as its mission, values, and industry focus. For instance, you could say:

“DevsData LLC is an IT recruitment agency that connects top tech talent with leading companies to drive innovation and success. Their diverse team of US specialists brings unique viewpoints and cultural insights, boosting their capacity to meet client demands and build inclusive work cultures. Over the past 8 years, DevsData LLC has successfully completed more than 80 projects for startups and corporate clients in the US and Europe.”

Explore sample resumes

Explore these effective resume examples to guide your focus and priorities during the candidate review.

Contact DevsData LLC

If you’re looking to hire a qualified Head of Machine Learning, reach out to DevsData LLC at general@devsdata.com or visit www.devsdata.com. The company’s recruitment process is thorough and efficient, utilizing a vast database of over 65000 professionals.

They are renowned for their rigorous 90-minute interviews to assess candidates’ technical skills and problem-solving abilities.

Additionally, DevsData LLC holds a government-approved recruitment license, ensuring compliance with industry standards and regulations.

Discover how IT recruitment and staffing can address your talent needs. Explore trending regions like Poland, Portugal, Mexico, Brazil and more.

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Greta Khachatryan Copywriter and Marketer

Greta’s experience in marketing began in 2019 when she decided to turn her hobby into a fulfilling career. Over the years, she has worked across various industries, both locally and internationally. To stay creative, her hobbies always lend a helping hand. When not working, she enjoys reading, practicing yoga, blogging, or cooking for the bravest of people.

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Serial entrepreneur

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