General Motors Hiring for Manufacturing Data Analytics Engineer at Bangalore Urban, Karnataka Full Time

Roles and Responsibilities:
Propose and implement high-impact data and analytic solutions that address business challenges across a variety of manufacturing business units

Plan and execute projects, including direction and oversight of technical work of associate Data Scientists

Work with diverse technical teams and provide data and analytic oversight to ensure project deliverables fulfill business needs and timing

Identify long-term technical innovations and collaborate with the Advanced Analytics Center of Expertise

Design machine learning systems

Research and implement appropriate ML algorithms and tools

Select appropriate datasets and data representation methods

Run machine learning tests and experiments

Perform statistical analysis and fine-tuning using test results

Train and retrain systems when necessary

Extend existing ML libraries and frameworks

Developintelligent algorithmscapable of learning, analyzing and predicting future events.

Support critical business operations and decision making through creation of high quality and automated reports, business intelligence and business process visualization.

Collaborate with business, IT, and analytics community to capture, prioritize, and document data analytic requirements and drive measurable results.

Understand business requirements and write user stories and framework for IT development team in agile project environment.

Develop Proof of Concept for novel and complex data processing methods.

Propose solutions and strategies to address business challenges and drive business impact.

Analyze large amounts of data and determine the meaning of trends and patterns to improve and streamline the business processes.

Apply Data Science and Modeling techniques to drive data driven decision making and solve complex business problems:

Create breakthrough solutions, performing exploratory and targeted data analyses

Build predictive models and machine-learning algorithms

Analyze large amounts of diverse information to discover trends and patterns

Undertake preprocessing of structured and unstructured data

Monitor and sustain model effectiveness

Combine models through ensemble modeling

Present complex information using data visualization techniques

This position will be based out of GM Technical Center India in Bangalore.

Additional Job Description (Section of Workday)

Knowledge:
Proven experience as a Machine Learning Engineer or similar role

Proven experience developing, deploying and monitoring performance of large analytic data sets and machine learning based models

Experience utilizing Big Data Tools and Databases: Hadoop, Teradata, Spark, Kafka, Advanced SQL and NoSQL including Postgres and Cassandra

Understanding of data structures, data modeling and software architecture

Deep knowledge of math, probability, statistics, and algorithms

Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python, R, SAS, or MatLab.

Experience building AI models in platforms such as Keras, TensorFlow, or Theano.

Ability to write robust code in Python, Java or R

Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

Excellent communication skills

Outstanding analytical and problem-solving skills

Rigorous, analytical and creative mind. Must be pro-active, good listener and have a team spirit.

Skills:
Strong Communication with the ability to distill complex subjects to a wider audience.

Excellent Collaboration & ability to build relationships.

Process Driven mindset.

Excellent Agile Project Management skills.

Ability to learn on the fly.

Go beyond the industry norm and demonstrate creativity in problem solving, ability to think dynamically and outside of standard convention, and adapt quickly to new technical areas.

Desired Skills

Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality

Strong listening and communications skills

Highly collaborative work style

Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics

Competencies:
Safety Conscious, Customer Focus

Innovative, Connects the Group to the Outside World

Practices Self – Development, Develops Others

Collaboration and Teamwork, Builds Relationships, Encourage and Motivates Others to High Performance

Communicates Powerfully & Prolifically, Takes Initiative

Technical/Professional Expertise, Solves Problems and Analyzes Issues

Displays High Integrity and Honesty, Drive for Results, Managerial Courage

Experience/Education:
Bachelors/ Master’s degree in Engineering or related field. Or Specialization in Mathematics, Statistics, Computer Science, information technology.

Experience in Manufacturing Engineering processes, Industrial Engineering, Plant Floors Systems knowledge will be added advantage

Flair for handling data & identifying useful information in data sets to suggest conclusions that support decision making.

5-10+ years’ experience in in related field.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteeropportunities.

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.