Machine Learning Engineer

Description

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 collaborate closely with data scientists software engineers and other collaborators to translate data insights into practical scalable solutions
• 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 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

In this Role Your Responsibilities Will b e :

Who You Are :

You quickly and decisively act in constantly evolving unexpected situations. You adjust communication content and style to meet the needs of diverse partners. You always keep the end 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. You observe situational and group dynamics and select best-fit approach.

For This Role You Will Need :

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 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 (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 non-technical collaborators

Preferred Qualifications that Set You Apart :

Understanding of standard processes in software development and methodologies.

Key Skills

Industrial Maintenance,Machining,Mechanical Knowledge,CNC,Precision Measuring Instruments,Schematics,Maintenance,Hydraulics,Plastics Injection Molding,Programmable Logic Controllers,Manufacturing,Troubleshooting

Employment Type : Full-Time

Experience : years

Vacancy : 1