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MLOps Product Manger

New York City, New York

$160000 - $190000

+ Data Science

Permanent
New York

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Senior Product Manager

Machine Learning

Remote, East Coast Time Zone

$160,000k-$190,000k base + strong benefits

A cutting-edge machine-learning platform company is in search of a dynamic Senior Product Manager to spearhead the advancement of their MLOps platform. Their platform empowers organizations to effortlessly monitor, compare, elucidate, and optimize machine learning models throughout their entire lifecycle, revolutionizing industry standards.

The Role

As a MLOps Product Manager, you will:

  • Define and articulate clear product requirements, goals, performance indicators, and milestones to guide the product development process.
  • Work closely with other teams to ensure the seamless delivery of the product roadmap, fostering collaboration with top-tier engineering and design teams.
  • Lead and drive the product development process, collaborating with engineering and design teams to ensure the successful execution of product initiatives.
  • Analyze and disseminate user data and feedback across the team to track the impact of product changes and enhancements.
  • Integrate market analysis, research findings, and usability studies into product requirements, ensuring that the product meets market needs and user expectations.
  • Effectively communicate product plans, benefits, and results to internal stakeholders, ensuring alignment and understanding across the organization.
  • Monitor and measure the performance of launched products, leveraging insights to shape the product roadmap for continuous improvement and innovation.

Your Skills and Experience

The successful MLOps Product Manager will have the following skills and experience:

  • 5 years of successful product management experience.
  • A background in data science
  • Experience working with ML/MLOps.
  • Demonstrated success in delivering high-quality products, guiding the entire lifecycle from planning and launch through ongoing maintenance.
  • Proficient in collaborating with engineers to influence the technical architecture of products.
  • Strong communication skills to effectively convey product value and opportunities to diverse audiences, including engineering, marketing, sales, individual users, and B2B customers.
  • Expertise in design and UX, complemented by experience in data product development or collaboration with Machine Learning teams.
  • Familiarity with programming languages such as Java, React, Python, and proficiency in utilizing AWS and SQL.

The Benefits

A competitive base salary of $160,000-$190,000+ benefits

KEYWORDS

Data Science | Product Managment| MLOps | Machine Learning | start-up | Python |Platform| Software Engineering |

To Apply for this Job Click Here

Machine Learning Engineer – MLOps

Chicago

$130000 - $150000

+ Data Science

Permanent
Chicago, Illinois

To Apply for this Job Click Here

AI/Machine Learning Engineer

$130,000-$150,000

Hybrid (Chicago, Illinois)

THE COMPANY

Harnham is partnered with a leading technology firm that is introducing automation to the construction sector. The company uses computer vision and machine learning technology to analyze entire buildings: from full HVAC systems to solar panels to pavement. After analyzing this data, they use AI to analyze images and formulate repair plans for clients to estimate budgets resulting in millions of dollars saved.

THE ROLE

  • Work alongside BE Engineers to create AI-driven services and build new platform infrastructure
  • Build machine learning models and put them into deployment to support new and existing platforms
  • Utilize computer vision technology to build end-to-end models
  • Report directly to the Head of Artificial Intelligence, opportunities for growth

YOUR SKILLS AND EXPERIENCE

  • 2+ Commercial experience preferred with Machine Learning models
  • Bachelor’s or Master’s degree in Computer Vision, Computer Science or Electrical Engineering
  • Preferred experience in a start-up environment
  • Technical proficiency is required in Python (TensorFlow, PyTorch, Keras), Django, Flask, AWS, Docker, Kubernetes, Terraform, Github, MLFlow, and PostgreSQL.
  • Proven experience deploying machine learning models into production
  • Preferred if the candidate has worked previously with geographical, aerial or satellite imagery data

BENEFITS

As an AI/Machine Learning Engineer, you can expect to earn up to $150,000 (depending on experience) and highly competitive benefits.

HOW TO APPLY

Please register your interest by sending your Resume to Grace McCarthy via the Apply link on this page

KEYWORDS

Machine Learning | AI | TensorFlow | Deep Learning | AWS | PyTorch | Django | MLOps | Computer Vision | Imaging | Python | GIS | Location Data | Aerial Data |

To Apply for this Job Click Here

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