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Semiconductor Equipment

Specialist - Software Engineering

Arizona, United StatesOnsiteFull Time$84,000–$145,000 /yrPosted 2 months ago

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Role summary

Seeking skilled AI engineers proficient in Python and modern AI frameworks to develop and maintain advanced machine learning solutions. This role involves developing and implementing AI solutions using Python and frameworks like Langgraph and Langchain, working with vector databases such as Pinecone, and building ML pipelines for data processing and model deployment. The engineer will utilize ML frameworks like XGBoost and PyTorch, design data processing workflows with SQL, and integrate APIs to support AI applications. Collaboration with cross-functional teams is key to delivering scalable AI-driven products.

Role description

Skillset needs AI stack Python Langgraph Langchain Vector Db like pinecone ML pipelines ML frameworks XGBoost PyTorch etc data processing pipelines SQL etc APIs

Job Summary

Seeking skilled AI engineers proficient in Python and modern AI frameworks to develop and maintain advanced machine learning solutions

Job Description

Develop and implement AI solutions using Python and AI frameworks such as Langgraph and Langchain Work with vector databases like Pinecone to manage and query highdimensional data Build and maintain machine learning pipelines for data processing and model deployment Utilize ML frameworks including XGBoost and PyTorch for model development and training Design and optimize data processing workflows using SQL and other pipeline tools Integrate and manage APIs to support AI applications and services Collaborate with crossfunctional teams to deliver scalable AIdriven products

Roles and Responsibilities

Design develop and deploy AI and machine learning models using Python and relevant AI stacks Manage vector databases to enhance data retrieval and storage efficiency Build robust ML pipelines to automate data ingestion preprocessing and model training Apply advanced ML frameworks such as XGBoost and PyTorch for predictive analytics Develop data processing solutions involving SQL and pipeline orchestration Create and maintain APIs for seamless integration of AI components Collaborate with data scientists engineers and stakeholders to ensure project success Continuously monitor and improve AI system performance and scalability

Other details

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits and Perks:

  • Comprehensive Medical Plan Covering Medical, Dental, Vision
  • Short Term and Long-Term Disability Coverage
  • 401(k) Plan with Company match
  • Life Insurance
  • Vacation Time, Sick Leave, Paid Holidays
  • Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training.

Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer
: The compensation and benefits information provided herein is accurate as of the date of
this posting.
LTIMindtree
is an equal opportunity employer that is committed to diversity in the workplace. Our
employment decisions are made without regard to race, color, creed, religion, sex (including
pregnancy, childbirth or related medical conditions), gender identity or expression, national origin,
ancestry, age, family-care status, veteran status, marital status, civil union status, domestic
partnership status, military service, handicap or disability or history of handicap or disability, genetic
information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation
or preference, or any other characteristic protected by applicable federal, state, or local law, except
where such considerations are bona fide occupational qualifications permitted by law.

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