Machine Learning Developer

Job Summary:

As a Machine Learning Engineer at Emerson, you will be responsible for developing, implementing, and optimizing machine learning models and systems. You will work closely with data scientists, software engineers, and other customers to translate data insights into practical, scalable solutions.

In this Role, Your Responsibilities Will Be:

• Design, build, and deploy machine learning models and algorithms to solve specific business problems. Optimize models for performance and scalability.
• Work with large data sets to preprocess, clean, and transform data for use in machine learning models. Develop and maintain data pipelines.
• Monitor and evaluate the performance of deployed models, making adjustments and improvements as needed to ensure accuracy and reliability.
• Work with multi-functional teams including data scientists, analysts, and product managers to understand requirements and deliver machine learning solutions that meet business needs.
• Stay ahead of with the latest research and trends in machine learning and artificial intelligence. Explore and implement new techniques and technologies to enhance model performance.
• Document model development processes, code, and standard methodologies. Provide clear and comprehensive reports on model performance and metrics.
• Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective

Who You Are

You promote high visibility of shared contributions to goals. You quickly and significantly take action in constantly evolving, unexpected situations. You actively seek guidance from pertinent sources to make timely and well-informed decisions. You handle the risk that comes with moving forward when the outcome is not certain.

For This Role, You Will Need:

• Bachelor s degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred.
• More than 5 to 6 years of experience in machine learning engineering or a related role, with a strong track record of developing and deploying machine learning models.
• Proficiency in programming languages such as Python or R. Experience with machine learning frameworks (e. g. , Go, TensorFlow, PyTorch, scikit-learn).
• Experience with Azure Cognitive services
• Experience with data processing and manipulation tools and libraries (e. g. , pandas, NumPy).
• Strong analytical and problem-solving skills, with the ability to handle complex and large-scale data sets.
• Experience with deploying machine learning models to production environments, including knowledge of containerization technologies and cloud platforms, Microsoft Azure is preferred
• Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical partners.

Preferred Qualifications that Set You Apart:

• Prior experience in engineering domain would be nice to have
• Prior experience in working with teams in Scaled Agile Framework (SAFe) is nice to have
• Possession of relevant certification/s in data science from reputed universities specializing in AI.
• Familiarity with version control systems (e. g. , Git) and CI/CD pipelines.
• Knowledge of software development standard processes and methodologies.

By joining Emerson, you will be given the opportunity to make a difference through the work you do.

Emerson's compensation and benefits programs are designed to be competitive within the industry and local labor markets . We also offer a comprehensive medical and insurance coverage to meet the needs of our employees.

We are committed to creating a global workplace that supports diversity, equity and embraces inclusion . We welcome foreign nationals to join us through our Work Authorization Sponsorship .

We attract, develop, and retain exceptional people in an inclusive environment, where all employees can reach their greatest potential . We are dedicated to the ongoing development of our employees because we know that it is critical to our success as a global company.

We have established our Remote Work Policy for eligible roles to promote Work-Life Balance through a hybrid work set up where our team members can take advantage of working both from home and at the office.

Safety is paramount to us, and we are relentless in our pursuit to provide a Safe Working Environment across our global network and facilities.

Through our benefits, development opportunities, and an inclusive and safe work environment, we aim to create an organization our people are proud to represent.