Senior AI​/ML Engineer; Data Science & Automation

Senior AI/ML Engineer (Data Science & Automation)

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Envita Solutions, formerly known as Heritage Interactive Services, is a leading total waste management partner dedicated to fostering a healthier planet by transforming complex waste challenges into sustainable solutions. Headquartered in Indianapolis, Indiana, Envita operates in the U.S., Mexico, and Canada, with over 300 employees and a network of more than 3,000 supplier partners.

Our guiding principles include a vision to protect human health and the environment, build long‑term relationships, and tackle big problems while doing the right thing.

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.

• 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 Sage Maker, 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.

• Bachelor's Degree in Computer Science, Data Science, AI/ML, or related field (Master’s/PhD preferred).

• 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.

• Expert in Python and leading ML frameworks (scikit‑learn, Tensor Flow, 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.