Machine Learning Engineer

6+ Years of experience in Machine Learning Engineer Machine Learning Engineering Experience: A minimum of five years of hands-on experience in designing, developing, and deploying Machine Learning models and systems. Proficiency in Databricks & Azure: Strong familiarity and practical experience with Databricks for data exploration, processing, and model development. Experience in Azure for cloud-based solutions. Production-Quality Python Coding: Extensive experience in writing robust, scalable, and maintainable Python code specifically tailored for production environments. Packaging and Deployment: Proven expertise in packaging Machine Learning models for deployment in various environments. Source Code Management: Proficiency in SCM tools (such as Git) and best practices for collaborative development. Technical Expertise: Maintain a strong understanding of foundation models and related AI technologies. Stay updated with the latest research advancements and industry trends in the field. Provide technical guidance and support to the team, assisting in technical decision-making, problem-solving, and code review.

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Automation Test Lead

7+ Years of experience in Automation Lead Lead QA efforts through the design, implementation and deployment of new features Perform manual testing, design & author test cases, drive API automation Collaborate with the engineering leadership team to improve automation, QA methodologies, and best practices throughout the company Assist with defining and prioritizing product requirements. Able to clearly document, report, and present to stakeholders Experience with testing specialties such as accessibility, security, performance, and data Conduct Frontend and Backend testing; work with APIs, Databases, cloud environments Conduct cross-browser testing to check the compatibility of applications across various browsers (e.g., Chrome, Safari, Firefox, Edge). Participate in Mobile testing as well. Experience in test case management tools like Zephyr, Testlink, TestRail Experience in web testing automation tools like Selenium.

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Data Quality Manager

12+year experience Data Quality Engineer Data definitions and data discovery Data quality framework Data Governance including identification of critical data elements, measuring and monitoring of CDE’s Process improvement experience pertains to compliance and data quality initiatives Hands on experience on KPI’s design, issue resolution and remediation activities Identification of control gaps and providing recommendations as per data strategy Measuring effectiveness of different DQ roll out programs

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Senior Data Scientist

10 +Years experience required. ead technology innovation projects in the field of advanced analytics, including predictive maintenance and machine learning, for commercial vehicle, transportation & new technology fields applications. Invent and develop new end-to-end system that gather relevant data on embedded systems with resource constraints and fluctuating network access, use cloud computing to create prediction models digital twins. Identify and propose data driven insights from automotive data which can help business to add value to Skylight's customers for existing products. Able to see value of the data driven insights for end customers and influence business teams. Work together with the global innovation team to support each phase of development, user validation process and propose solutions (products and/or services) that might lie between organizational borders. While doing, co-ordinate and execute PoC (Proof of Concept) activities for collaboration between departments, start-ups. Work with business and technical leadership to set strategic priorities and scope. Maintain regular communication with internal stakeholders to understand a (‘live’) technology, market needs & interests mandate.

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