ML Engineer AI Application Development

JobSummary:

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

InthisRoleYourResponsibilitiesWillBe:

• 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 multifunctional teams such as data scientists analysts and product managers to understand requirements and deliver machine learning solutions that meet business needs.
• Keep up 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

WhoYouAre:

You quickly and decisively act in constantly evolving unexpected situations. You adjust communicationcontentandstyletomeettheneedsofdiversepartners.You always keep theend in sight; puts in extra effort to meet deadlines. You analyze multiple and diverse sources of information to define problems accurately before moving to solutions. Youobservesituationaland group dynamics and select bestfit approach.

ForThisRoleYouWillNeed:

• Bachelors degree in computer science Data Science Statistics or a related field or a masters degree or higher is preferred.
• More than 3 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 scikitlearn).
• Experience with Azure Cognitive services
• Experience with data processing and manipulation tools and libraries (e.g. pandas NumPy).
• Strong analytical and problemsolving skills with the ability to handle complex and largescale data sets.
• Experience with deploying machine learning models to production environments including knowledge of containerization technologies (e.g. Docker or equivalent) and cloud platforms Microsoft Azure is preferred
• Excellent verbal and written communication skills with the ability to explain technical concepts to nontechnical collaborators

PreferredQualificationsthatSetYouApart:

• Prior experience in engineering domain and working with teams in Scaled Agile Framework (SAFe) are 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.
• Understanding of standard processes in software development and methodologies.

Our Culture & Commitment to You

At Emerson we prioritize a workplace where every employee is valued respected and empowered to grow. We foster an environment that encourages innovation collaboration and diverse perspectivesbecause we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship training or leadership opportunities we invest in your success so you can make a lasting impact. We believe diverse teams working together are key to driving growth and delivering business results.

We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans a variety of medical insurance plans Employee Assistance Program employee resource groups recognition and much more. Our culture offers flexible time off plans including paid parental leave (maternal and paternal) vacation and holiday leave.