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Texas Instruments Is Hiring Freshers For Data Science Engineer | Apply Now

Texas Instruments Hiring Details:

Texas Instruments is hiring B.E/B.Tech/M.E/M.Tech/MCA fresher graduates of 2020/2021 batch for Data Science Engineer at Bengaluru. The detailed eligibility and application procedure for are given below.

Texas Instruments Off Campus Drive 2022:

Company Website: www.ti.com

Job Role: Data Science Engineer

Qualification: B.E/B.Tech/M.E/M.Tech/MCA

Batch: 2020/2021

Experience : 0-2 Years

Salary: 12 LPA (Expected)

Job Location: Bengaluru

Last Date: ASAP

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Responsibilities:

  • DMS IT is looking for engineers who are passionate about pushing technical boundaries and solving complex problems, able to interact and influence highly technical internal customer stakeholders, capability to work on solutions that are deployable globally.
  • You will interact with System engineering, Design/layout, Verification/Validation, Product Engineering, EDA, Test Engineering, Quality Engineering F&O and Program management teams across the company.
  • You will bring fresh prospective to improve TI’s new product development execution and ramp to manufacturing processes.
  • Data Engineer – As a data engineer in the team, you will partner with various business teams to analyze massive sets of data generated by design and manufacturing processes by consolidating them into easy to understand metrics.
  • Current IT systems lack granularity and fail to identify bottlenecks across the various production lines. There are two distinct phases in semiconductor products development. One is product definition to tapeout (Pattern Generation) and other is tapeout to product release. Typical schedule between tapeout to release at times take several months to years to be completed.
  • You will build analytics infrastructure, insights, models and tools, to empower AI platform which can determine any bottlenecks and gives early signal to ensure a good tape out, without re-design iteration which can eventually make TI competitive and bring differentiated products to market faster than competitors.
  • In this capacity, you will be working closely IC Design teams to capture real-time data from various key function of Analog, Digital and Mixed Signal IC Design Flow to generate meaningful insights to maximize throughput and efficiency.

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Skills:

  • 0-2 Years of experience in data mining techniques, statistical analysis, recommendation engines with core focus on latest data science techniques like AI/ML, predictive modelling, etc. Strong communication, analysis, problem solving and articulation skills, ability to understand and document complex data flows as part of business / production processes, infrastructure.

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Bonus Skills:

  • ASIC Design, Manufacturing process background would be preferred. Familiarity with SDLC concepts and process. R/Python, SQL and query languages. Experience in working with visualization tools such as TIBCO Spotfire, Tableau etc. Working knowledge and mathematical understanding of regression, clustering, classification, forecasting, optimization, and other cutting-edge popular machine learning techniques

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Other responsibilities might include

  • Work as per the strategic technology direction and systems or solutions roadmaps to supporting critical design to manufacturing handoff process improvement needs.
  • Provide support to facilitate move from technical concepts to implementation- concept/idea formulation and packaging to gain IT and business buy-in and alignment; identifying the resources, timeframe and cost for solution implementation
  • Work closely with business stakeholders to determine & develop the best possible UI/UX designs, design data bases, visualizations, APIs for web-based applications and cross functionality between applications
  • Create re-usable frameworks adhering to high software quality standards
  • Architecting and establish overall, comprehensive, and efficient DevOps channel across and setting up a continuous build environment to speed up software development and deployment process

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Minimum requirements:

  • 0-2 Years of experience in data mining techniques, statistical analysis, recommendation engines with core focus on latest data science techniques like AI/ML, predictive modelling, etc. Strong communication, analysis, problem solving and articulation skills, ability to understand and document complex data flows as part of business / production processes, infrastructure.

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How to Apply For Texas Instruments Off Campus Drive 2022?

All interested and eligible candidates can apply for this position online by the following link as soon as possible.

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