Lead ML Engineer
2 weeks ago
Lead Data Scientist / ML Engineer
Ecolab is looking for an experienced lead data scientist or ML engineer to be part of a dynamic team that's at the forefront of technological innovation. We're leveraging cutting-edge AI to create novel solutions that optimize operations for our clients, particularly within the restaurant industry. Our work is transforming how restaurants operate, making them more efficient and sustainable.
What's in it For You:
- As a key player in our new division, you'll have the unique opportunity to shape its culture and direction.
- Impact the success of our innovative projects and help define the future of our product offerings
- Experience the best of both worlds with this team at Ecolab: the agility and creativity of a startup paired with the stability and resources of a global leader.
- Our collaborative environment fosters innovation while providing the support and security you need to thrive.
What You Will Do:
- Lead the development and implementation of machine learning models using a Python stack in batch and streaming context to solve real-world business problems
- Coordinate the utilization of Azure cloud technologies to streamline the model development, deployment, and operationalization processes
- Leverage state of the art deep learning frameworks (PyTorch, Tensorflow) for advanced ML modeling.
- Apply best practices and patterns for MLOps to ensure scalability and maintainability
- Collaborate with cross-functional teams to integrate labeled data using advanced data labeling tools and techniques
- Optimize model training procedures to ensure efficient and accurate model development through thorough testing, fine-tuning, and validation
- Collaborate with cross-functional teams in UX, software engineering, and business SMEs to understand data needs and deliver actionable insights
- Stay current with industry trends and best practices in data science and big data technologies
Minimum Qualifications
- Bachelors with degree with 8 years' experience.
- An extensive proven track record in analyzing and interpreting complex datasets
- Mastery of Python for machine learning model development and data analysis
- Significant experience with Azure ML technologies, MLOps, and ML PaaS environments (AML, Databricks) for effective experimentation, model development and deployment
- Solid knowledge of deep learning frameworks (e.g., PyTorch) and model serialization formats (e.g., ONNX) for creating and training advanced machine learning models
- No immigration sponsorship available for this position.
Preferred Qualifications
- Masters with 5 years' experience
- PhD with 2 years' experience
- Previous experience with early-stage product development
- Proven track record of deploying products in dynamic environments
- Track record of collaborating with partners outside of core team / organization (including SMEs in computer Vision AI)
- Ability to wear multiple hats and plug into different roles as product develops
- Desire to be in a fast-moving, agile environment with willingness to adjust quickly
- Openness to experimental approaches typical of tech start-ups
- Excellent analytical and problem-solving skills
- Strong communication and collaboration abilities
- Ability to adapt to changing priorities and manage multiple tasks effectively
- Strong organizational skills and attention to detail
Benefits
Ecolab strives to provide comprehensive and market-competitive benefits to meet the needs of our associates and their families.Click here to see our benefits.
If you are viewing this posting on a site other than our Ecolab Career website, view our benefits at jobs.ecolab.com/working-here.
Covid-19 Vaccine Notice
Due to local mandates and customer requirements, applicants for certain customer-facing positions must be fully vaccinated (which in some situations requires a booster if eligible), unless a religious or medical accommodation is requested by the applicant and approved by Ecolab.
Americans with Disabilities Act (ADA)
Ecolab will provide reasonable accommodation (such as a qualified sign language interpreter or other personal assistance) with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please visit the Recruiting Support link in the footer of each page of our career website.
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