Specialist - Architecture

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 Python-based applications leveraging PySpark for large-scale data processing
• Implement MLOps practices to streamline model deployment, monitoring, and lifecycle management
• Collaborate with cross-functional teams to integrate NLP techniques into machine learning pipelines
• Utilize expertise in Python and PySpark within the NLP and MLOps domains to enhance data-driven 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 Python, PySpark, NLP, and MLOps skill cluster
• Ensure compliance with data security and governance policies throughout the ML lifecycle

Roles and Responsibilities

• Design, develop, and deploy machine learning models with a focus on MLOps frameworks and automation
• Manage end-to-end 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 CI/CD 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 Python, PySpark, NLP, and MLOps community

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/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

Range Displayed

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.

Additional Compensation

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.