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 Senior 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 :
This person will be involved in the architecture, design, and management of large-scale, highly-distributed, multi-tenant data stores.
In addition to building and maintaining these data stores, the Edge and Cloud Engineer will also work to ensure that the data is easily accessible and available to data scientists and business users across the enterprise when and where it is needed.
He can program in several languages and understands the end to end software development cycle including CI / CD and software release.
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 and have 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, and work on all aspects of design, development and delivery of deep 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 the architecture, design, and development of new intelligent power technology products and production quality end to end systems
Devise and oversee the implementation of methods for secure data input / output, networking, digital signal processing, and transducer integration
Efficiently convert (after import) pre-trained artificial neural networks that are developed with Keras, Lasagne, and other deep learning (DL) frameworks.
Developing applications and solutions that emulate human vision.
Experience on ML / AI Software development environment that enables ML / AI algorithms for use on various processors
BE / ME / MS with Electives / Thesis in Edge, ML, AI
Object-Oriented Programming, Programming Language Matlab, C, C++ , Python & associated IDEs (Eclipse, IAR Embedded Workbench, PyCharm)
Model-Based Development and Design
Machine Learning, Deep Learning, Reinforcement Learning, Optimization and Computer Vision -Principles & Limitations,
ML / AI Pipleine & Development life-cycle & tools
Open source projects like Open CV, Gstreamer, OpenVINO, ONNX, Tensor flow, Pytorch and Caffe
SW Development life-cycle process & tools
SDK's for programming HW Accelerators (GPU, VPU, FPGA)
E2E solutions using Azure IoT / AWS Green Grass
Linux ARM / x86-based firmware and software
IoT / controller ARM / x86-based microcontroller development tools
Delivery, deployment and maintenance of production Linux IoT systems (Yocto or equivalent distribution model)
Containerization, Docker experience, cloud native development
Wired / wireless communications, networking and transport protocols, service layers, message queues, and related technologies (WLAN, Bluetooth, Mesh, Cellular Technologies, Ethernet / IPv4 / IPv6, UDP, TCP, RDP, SNMP, Modbus, MQTT, ZeroMQ, AMQP, OPC UA)
Digital Signal Processing and Transducer technologies e.g. Sensor and Actuator integration, Discovery, & Control, Analysis, and Low-latency Decision control loop approaches
Edge computinng experiences e.g. Edge devices, gateways, basestations, and small cells targeting industrial IoT, Industry 4.
0, smart cities, smart grids, and 5G
Agile development methodologies and concepts including handson with Jira, bitbucket and confluence.
Knowledge on platform container system such as Continuous Integration / Continuous Delivery (CI / CD) i.e. Jenkins, GIT, Travis-C
Knowledge of streaming technologies like Apache Kafka, AWS Kinesis, Azure EventHubs
Knowledge of design and deployment of a Data Lake
Knowledge of Cloudera Hadoop, ML ops
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
Advanced degree and / or specialization in related descipline (e.g. machine learning)
Knowledgeable in leveraging multiple data transit protocols and technologies (MQTT, Rest API, JDBC, etc)
Knowledge of Hadoop and MapReduce / Spark or related frameworks
Knowledge of MongoDB, Document DB, CosmosDB
Knowledge of Scala
Yes! Because you are the one we are looking for, we hope to hear from you now!
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