Senior Engineer - Data Science

Overview

Lead development of ML/DL solutions for industrial products, from research to production.

Key Responsibilities

• deep learning
• data pipelines
• performance monitoring
• data modeling
• algorithm delivery
• stakeholder collaboration

Tasks

-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. -Build tools and processes to monitor and analyze performance and data accuracy, and leveraging predictive modeling to optimize targeting, revenue generation, customer experiences, and more. -Use suitable databases and project designs to boost joint development efforts -Evaluate business requirements to determine potential solutions -Carry out data analytics and optimization using machine learning & deep learning and and participate in strategic planning for data analytics. -Present and promote results to both internal stakeholders and external clients and partners -Recommend and set up appropriate performance monitoring solutions; author and implement the solutions -Create Reusable components which would accelerate algorithm development cycle -Improve and support existing data science products and Develop custom data models and algorithms -Work directly with stakeholders, engineering, and test to create high quality solutions that solve end-user problems. -Lead the development of technical solutions and implement architectures for project and products across data engineering and data science teams -Mentor others in the use of tools and techniques -Design data-driven solutions to solve critical business problems, understand company needs, and contribute innovative ideas to enhance or develop products using new or existing data streams. -Author high-quality, highly-performance, unit-tested code to extract and transform data based on business and data science needs -Is accountable for end-to end delivery of Algorithms -Integrate data & perform ad-hoc analysis and prototype ideas, research and develop statistical models, and run experiments -Explore and recommend new tools and processes which can be leveraged across the data preparation pipeline for capabilities and efficiencies -Collaborate broadly across multiple functions (data engineering, product management, IT, etc.) to readily make key data readily available and easily consumable

Requirements

• tensorflow
• keras
• databricks
• python
• aws
• master’s

What You Bring

-Good interpersonal, negotiation and conflict resolution skills -Innate curiosity -6 years working with customers (internal and external) on developing requirements and working to deliver end-to-end solution -Experience in Tensor Flow, Scikit, Keras, Spark ML -Experience in Machine Learning, Deep Learning (CNN,RNN, ..), Reinforcement Learning, Optimization Techniques, Computer Vision, Natural Language Processing, Recommendation AI Systems. -Strong knowledge on Databricks -Solid understanding of Java and/or Python and associated IDE’s (Eclipse, IntelliJ, etc.) -Strong problem solving and software debugging skills -Good judgment, time management, and decision-making skills -Advanced degree and/or specialization in related descipline (e.g. machine learning) -Experience in Design Thinking or human-centered methods to identify and creatively solve customer needs, through a holistic understanding of customer’s problem area -Experience in at least one cloud provider (AWS, Azure, Google) -Master's degree in Computer Science or equivalent Engineering field with strong knowledge in Machine Learning, Deep Learning, AI, Statistics, and Data Mining. -Experience of working with Global teams work experience and awareness, Strong communication skills to interact with global teams. -Extensive experience with Agile development methodologies and concepts -Experience being part of larger teams with established big data platform practices, as well as smaller teams where they made a bigger impact in terms of scope. -The candidate is expected to be conversant with Agile methodologies and tools and have a track record of delivering products in a production environment -The ability to understand academic research and apply new data science techniques -Ability to write code that is accessible, secure, and optimized for performance, with the capability to output to different types of consumers and systems. -Demonstrate exceptional impact in delivering projects in terms of architecture, technical deliverables, and project delivery throughout the project lifecycle. -Excellent communication (verbal, presentation, documentation) skills, working with teams that are geographically dispersed, to produce solutions that satisfy functional and non-functional requirements and the ability to effectively explain technical concepts -Excellent verbal and written communication skills including the ability to effectively explain technical concepts -5+ years of progressive experience in delivering data science/AI technology solutions in a production environment -Strong programming skills in Python, R, Matlab,PySpark, SparkR, Scala along with a good understanding of the Linux platform

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About Eaton

-global leader in power management, providing energy-efficient solutions for managing electrical, hydraulic, and mechanical power. -products and services span across industrial, commercial, residential, and infrastructure markets. -innovative solutions in energy storage, electrical distribution, and industrial automation. -instrumental in advancing technologies for utilities, transportation, and energy management. -recent standout projects include large-scale energy management systems for smart cities and utilities. -systems are crucial for sectors ranging from renewable energy to water resources management. -history of growth through acquisitions, continuously expanding global footprint and product offerings.

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