Machine Learning Specialist

Job Description Core Technical Skills

• Hands-on expertise in Python and SQL for data processing and automation.
• Strong experience with all types of Machine Learning models, including model training and optimization.
• Knowledge on Databricks and MLflow for model lifecycle management.
• Analyze and create RCA as a part of production support.
• Proven track record in production deployment and monitoring of ML models.
• Knowledge on Solution Architecture, HLD, LLD
• Deep understanding of data and model drift, including PSI (Population Stability Index), CSI (Characteristic Stability Index), and champion/challenger model concepts.
• Experienced in Service Now, Change request management, Agile & Jira, working on deployment board.
• Experience in LLM-based model training (e.g., OpenAI, LLaMA, Claude). Workflow & Automation
• Design and manage workflows for job and pipeline development, deployment, and troubleshooting. Tools & Platforms
• Practical experience with Jira, Git Hub, , Postman and Visual Studio Code for project management and version control.
• Good to have:
  Knowledge of Azure cloud services for ML deployment.

Mandatory

Skills:

Azure ML MLOps .

Experience:

8-10 Years

The expected compensation for this role ranges from $80,000 to $158,000 .

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.

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