At H2Ok Innovations, we're leading the charge in cleantech innovation, reshaping industria liquid and fluid systems to drive operational efficiency and sustainability. Powered by AI-driven IoT systems and state-of-the-art spectral-based sensors, our solutions optimize facility performance across various processes, including water management, energy reduction, and waste minimization. Based at Greentown Labs, North America's premier cleantech incubator, we're a woman-founded startup backed by renowned investors like Construct Capital, 2048 Ventures, and Flybridge Capital. Our groundbreaking technologies have earned accolades and adoption from industry giants like Unilever, The Coca-Cola Company, and Mitsubishi. We're committed to unlocking untapped data for our customers, empowering them to gain a competitive edge and adopt Industry 4.0.
As our company scales, we're in search of a full-time ML Delivery Engineer to join our expanding team. As an ML Delivery Engineer, you will work directly with customers to solve high-impact immediate problems, designing and deploying ML models and solutions to build the future of the autonomous factory. Your responsibilities will look similar to those of a hands-on AI startup CTO where you will work cross-functionally in sales, customer success, and engineering to own delivery of high-stakes projects with global clients. You are someone who is highly motivated and enthusiastic about working with data, experienced with (or deeply interested in) machine learning, keen at understanding customer needs, and has excellent communication and problem-solving skills. Having a background in computer science, chemical engineering, industrial engineering, mechanical engineering, UI/UX, or manufacturing processes is a plus.
What You Will Do
- Analyze data from some of the largest factories in the world to identify process inefficiencies and areas of potential optimization. For example, analyzing real-time product quality, filtration efficacy, efficacy of cleaning processes, wastewater strength, viscosity, moisture content, particle size, product loss, COD, BOD, etc
- Train, evaluate, and deploy machine learning models to unlock additional factory uptime and deliver time, energy, and water savings.
- Present model results to internal and external stakeholders. Demo H2Ok’s data analytics platform live with customers to give them a thorough understanding of their data. Ensure customers thoroughly understand and agree with ML model results, data insights, and savings calculations
- Collaborate with front-end developers to display complex data, trends, and abnormal behavior in an intuitive way. Identify areas of customer confusion and suggest platform improvements to prevent these pain points in user experience. Communicate customer feedback on H2Ok’s data analytics platform to H2Ok engineers
- Identify anomalies and abnormal behavior in real-time based on sensors, controls, and operational data. Communicate these anomalies with customers to ensure they understand the first principles behind why we’ve identified anomalous behavior
- Apply critical thinking and first principles knowledge to solve challenging, real-world problems in factories, breweries, food & beverage facilities, and more.
- Collaborate with data scientists, software engineers, and customer stakeholders to ensure models are performant, reliable, and aligned with customer needs
About You
- Fluent in analyzing, understanding, and communicating about data, especially time-series data.
- Willing to work directly with customers to explain model results, data analysis, and conclusions from data in a clear, engaging, and succinct way.
- Skilled in data storytelling and visualization.
- Can create engaging, colorful visualizations for customers that bring data to life and provide insight.
- Experienced with presenting data and communicating results to both technical and non-technical audiences.
- Experienced with Python, including numerical libraries (such as NumPy and Pandas) and ML frameworks (such as Scikit-Learn, PyTorch, TensorFlow, JAX).Familiar training, fine-tuning, and evaluating performance of machine learning models.
- Familiar with SQL or similar database systems (such as MySQL, PostgreSQL, MongoDB)
- Experienced with Git or other version control systems
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is a plus
- Analytical thinker with the ability to solve complex problems efficiently
- Excellent communication skills to articulate technical issues, solutions, and progress effectively
- Adaptability to learn new technologies and adapt to evolving project requirements
- Strong team player mindset, comfortable sharing knowledge and collaborating within a team environment
- Familiarity with industrial processes and manufacturing (PLC/SCADA/DCS) is a strong plus. Examples of this data: flow rate, conductivity, temperature, pH, water hardness, COD, BOD, viscosity, etc
Benefits
- Direct impact on product and culture
- Comprehensive benefits package including Medical, Dental, Vision, Life Insurance, Disability, Transportation benefit, Health and Wellness benefit, and more
- 401k plan with employer matching
- Competitive salary and bonus opportunities
- Dynamic and inclusive work environment
- Opportunities for growth and professional development
- Access to Greentown Labs' extensive network of cleantech startups
We recognize that even exceptional candidates may experience imposter syndrome. If you possess some, but not all, of the qualifications, we encourage you to apply. We're building a diverse team that values hard work, family, and personal well-being. At H2Ok, we celebrate inclusivity and diversity, striving to build a community that transforms manufacturing. Join us in our mission to make a difference.
