Back to search
LTM Linkedin · Posted 3d ago

Specialist - Architecture

Edison, New Jersey, United States

Linkedin
Continue to application Add your email once, then Caio opens the original posting.

Indexed description


Role description

Job Summary



  Seeking a Specialist with 5 to 7 years of experience in Python and MLOps to design develop and maintain scalable machine learning solutions


  Job Description 


  Develop and optimize Pythonbased applications leveraging PySpark for largescale data processing Implement MLOps practices to streamline model deployment monitoring and lifecycle management Collaborate with crossfunctional teams to integrate NLP techniques into machine learning pipelines Utilize expertise in Python and PySpark within the NLP and MLOps domains to enhance datadriven solutions Ensure code quality scalability and maintainability adhering to best practices in software development Participate in continuous learning and adoption of emerging technologies within the PythonPySparkNLPMLOps skill cluster


Roles and Responsibilities 


    Design develop and deploy machine learning models with a focus on MLOps frameworks and automation Manage endtoend ML workflows including data preprocessing feature engineering model training deployment and monitoring Collaborate with data scientists engineers and stakeholders to translate business requirements into technical solutions Implement continuous integrationcontinuous deployment CICD pipelines for ML models Troubleshoot and resolve issues related to model performance and system scalability Mentor junior team members and contribute to knowledge sharing within the PythonPySparkNLPMLOps community Ensure compliance with data security and governance policies throughout the ML lifecycle



Other details

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.



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.

Free. 20 seconds. No password. See every match in this search.

Create a free Caio profile to unlock more results and save your role and location preferences.

Unlock free search
Want help applying to roles like this? Search Caio for free. If CV tailoring and application tracking get heavy, Full Caio Agent adds a human specialist.
View Full Agent