Envita Solutions, formerly known as Heritage Interactive Services, is a leading total waste management partner. The company is dedicated to fostering a healthier planet by transforming complex waste challenges into sustainable solutions. Headquartered in Indianapolis, Indiana, Envita Solutions operates in the U.S., Mexico, and Canada, has over 300 employees, and a network of over 3,000 supplier partners. A division of The Heritage Group, Envita Solutions is part of a portfolio of more than 30 companies specializing in heavy construction and materials, environmental services, and specialty chemicals. With unique access to research and development and a leading hard tech corporate venture capital portfolio, Envita Solutions is at the forefront of waste and climate challenge innovation.
At Envita, our guiding principles are the foundation of our company. Our vision is to foster a healthier planet by transforming complex waste challenges into sustainable solutions. We exist to protect human health and the environment and build a safer, more sustainable world. We believe in creating enduring value, building long-term relationships and mutual trust, betting on our people, keeping our eyes open for opportunity, tackling the big problems, and doing the right thing-always.
Envita Solutions is seeking a Senior AI/ML Engineer (Data Science & Automation) to lead the design, development, and deployment of scalable AI/ML and automation solutions that enhance sustainability, efficiency, and decision intelligence. This role blends deep technical expertise with leadership, mentorship, and a strong focus on production impact. You'll play a key role in shaping Envita's AI strategy and data architecture.
Essential Functions- Design and implement scalable data pipelines and ML architectures for production environments.
- Develop and deploy machine learning and generative AI models that drive measurable operational improvements.
- Build workflow automation solutions (APIs, UiPath, Power Automate) that improve efficiency and accuracy.
- Integrate models into cloud-based production systems (Azure ML, Databricks, AWS SageMaker, or GCP Vertex AI).
- Apply modern ML techniques, including NLP, deep learning, and predictive analytics.
- Partner with business and technical leaders to identify and prioritize high-value AI/ML opportunities.
- Define standards for data architecture, ML operations (MLOps), and model governance.
- Champion best practices for responsible and ethical AI in sustainability-focused operations.
- Mentor and coach junior data scientists and engineers, promoting excellence and innovation.
- Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company's core values, competencies, and skills.
Education Qualifications- Required Bachelor's Degree in Computer Science, Data Science, AI/ML, or related field (Master's/PhD preferred).
Experience Qualifications- 7+ years of experience in data science, AI/ML engineering, or applied machine learning
- Proven success developing and maintaining production ML models with measurable impact
- Hands-on expertise in deep learning, NLP, generative AI, and/or computer vision.
- Strong experience with cloud platforms (Azure, AWS, or GCP) and pipeline orchestration (Databricks, Airflow, or similar).
- Prior exposure to sustainability, logistics, or enterprise operations is a plus.
Skills and Abilities- Expert in Python and leading ML frameworks (scikit-learn, TensorFlow, PyTorch).
- Deep understanding of ML principles: supervised/unsupervised learning, deep and reinforcement learning, model evaluation.
- Familiar with workflow automation tools (UiPath, Power Automate, APIs).
- Strong communicator and mentor with the ability to translate complex ideas into actionable insights.
- Builds scalable, production-ready ML systems and fosters collaboration across teams.
- Operates effectively as both a builder and coach, driving continuous improvement.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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