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Eaton Corporation Lead Engineer in Hadapsar Pune, India

Description:

If you desire to be part of something special, to be part of a winning team, to be part of a fun team – winning is fun. We are looking forward to a Lead Engineer based in Pune, India. In Eaton, making our work exciting, engaging, meaningful; ensuring safety, health, wellness; and being a model of inclusion & diversity are already embedded in who we are - it’s in our values, part of our vision, and our clearly defined aspirational goals. This exciting role offers opportunity to:

  • The role involves in identifying opportunities in internal processes where effective use of ML/AI and associated technologies can be made to provide solutions which help in improving efficiency of operations, reducing time and cost, etc. In this role, the individual acts as a team leader for multi-disciplined team and architects overall solution, performs technical reviews and communicates outcomes to various stakeholders.

  • The candidate will demonstrate exceptional impact in delivering projects in terms of architecture, technical deliverables and project delivery throughout the project lifecycle.

  • The candidate is expected to be conversant with Agile methodologies and tools while having a track record of delivering products in a production environment

  • Work with a team of experts in deep learning, machine learning, distributed systems, program management, and product teams while working on all aspects of design, development and delivery of machine learning enabled end-to-end pipelines and solutions.

  • Lead the development of technical solutions and implement architectures for project and products across data engineering and data science teams

  • Lead initiatives and proposal writing for bringing in digitization in Eaton internal processes and development of new products

  • Experience on data mining, data exploration, hypothesis building and validation

  • Experience in handling big data and also the variety of data including text based and numeric datasets, exploratory study to understand relations between the data and develop models to uncover relationship providing actionable insights to drive cost saving and revenue generation for Eaton

Qualifications

Requirement:

  • Master’s degree or Ph.D. (preferred) in computer science, software engineering

  • 6 to 8+ years of progressive experience in delivering technology solutions in a production environment

  • 5+ years of experience in the software industry as a developer, with a proven track record of shipping high quality products

  • 4+ years working with customers (internal and external) on developing requirements and working as a solutions architect to deliver

  • Experience in Statistics, Data Mining, hypothesis validation

  • Experience in Machine Learning, Deep Learning, Reinforcement Learning (CNN, RNN), Optimization, Natural Language Processing, Text Mining, Sentiment Analysis, Recommendation AI Systems

  • Experience in Knowledge Graphs - Graph Database , Spark Graph Frames, Neo4j and related graph tools

  • Experience in big data platforms and databases like Cloudera Hadoop, MapReduce/Spark or related frameworks, knowledge of MongoDB, Document DB, CosmosDB

  • Experience in Tensor Flow, Scikit, Keras, Spark ML, Databricks, MLFlow

  • Programming Knowledge - Python, R, Matlab, C/C++, Java, PySpark, SparkR

  • SW Development life-cycle process & tools

  • Agile development methodologies and concepts including hands on with Jira, bitbucket and confluence.

  • ML/AI Pipleine & Development life-cycle & tools, MLOps Knowledge

Desired:

  • Knowledge on Continuous Integration/Continuous Delivery (CI/CD) i.e. Jenkins, GIT, Travis-CI

  • Knowledge of design and deployment of a Data Lake

  • Knowledge of IoT technologies, including cloud processing, like Azure IoT Hub.

  • Knowledge of data analysis tools, like Apache Presto, Hive, Azure Data Lake Analytics, AWS Athena, Zeppelin

  • Experience in Design Thinking or human-centered methods to identify and creatively solve customer needs, through a holistic understanding of customer’s problem area

  • Knowledgeable in leveraging multiple data transit protocols and technologies (MQTT, Rest API, JDBC, etc)

  • Knowledge of Hadoop

  • Knowledge of Scala

  • Cloud and big data knowledge and experience in building and demonstrating POCs

  • Supply Chain & Logistics background / Business Process Improvement

  • Experience in Ontology

Yes! Because you are the one we are looking for, we hope to hear from you now!

#LI-AB1

We make what matters work. Everywhere you look—from the technology and machinery that surrounds us, to the critical services and infrastructure that we depend on every day—you’ll find one thing in common. It all relies on power. That’s why Eaton is dedicated to improving people’s lives and the environment with power management technologies that are more reliable, efficient, safe and sustainable. Because this is what matters. We are confident we can deliver on this promise because of the attributes that our employees embody. We’re ethical, passionate, accountable, efficient, transparent and we’re committed to learning. These values enable us to tackle some of the toughest challenges on the planet, never losing sight of what matters.

Job: Engineering

Region: Asia Pacific

Organization: INNOV Innovation Center

Job Level: Individual Contributor

Schedule: Full-time

Is remote work (i.e. working from home or another Eaton facility) allowed for this position?: No

Does this position offer relocation?: Relocation from within hiring country only

Travel: Yes, 10 % of the Time

Eaton is an Equal Opportunity and Affirmative Action Employer. Eaton is committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

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