Manager - Data Sciences

LTM; Portland (OR); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Comprehensive Medical Plan Covering MD

Short/Long Term Disability

401(k) Plan with Company match

Life Insurance

Vacation Time and Holidays

Paid Paternity and Maternity Leave

Job summary

LTIMindtree is seeking an ML Engineer to deploy and manage machine learning models at scale in production for the MLOps team. The role works with software engineers, DS engineers, data scientists and data engineers to operationalize ML models and monitor performance.

Key duties include building production-grade Python libraries, maintaining CI/CD, and collaborating across a fast-paced, cross-functional environment with a strong emphasis on data quality and model monitoring.

Qualifications

• Experience implementing the machine learning lifecycle on AWS or other cloud platforms.
• Familiarity with Kubeflow or mlflow.
• Proficient in Python and ML frameworks/libraries.
• Experience with agile environments.
• Experience with version control tools such as Git/Bitbucket.

Responsibilities

• Own operationalize and monitor ML models in production.
• Build and maintain production-level Python libraries.
• Collaborate with data scientists and engineers across the stack.
• Ensure version control and CI/CD practices across projects.

Skills

Python

AWS

Git

SQL

ML frameworks

Tools

Docker

Kubernetes

Kubeflow

MLflow

Jenkins

Job description

Role Description

Client Interview Expectations

Job Description ML Engineer Job Summary Were looking for a Machine Learning Engineer who is experienced in deploying and managing machine learning models at scale in production for our ML Operations team The team is a cross functional team and has Software Engineers and DS Engineers and closely works with data scientists and data engineers in operationalizing ML models Roles and Responsibilities As an ML Engineer in the MLOps team you will be a key stakeholder and owning responsibility in operationalize and monitor machine learning models using high end tools and technologies Data Science quality assurance and testing Monitoring and troubleshooting of in production ML models and tools Build and maintain production level python libraries Execute best practices in version control and continuous integration delivery Collaborate with data scientists engineers and other key stakeholders Work well in a fast paced cross functional environment Skills Requirements Experience in implementing machine learning life cycle on AWS or other cloud platforms Knowledge on Docker Jenkins Kubernetes and other DevOps tools Familiarity with Kubeflow or mlflow Experience in Python Experience with Machine learning frameworks libraries and agile environments Experience with version control tools such as Git Bitbucket etc Experience with SQL and databases Outstanding analytical and problem solving skills

Other Details

Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. 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.