Manager - Data Sciences

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

Skills

Mandatory Skills : AWS ML

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.

Benefits

Compensation range: $81,215.00 to $147,000.00 per year

About LTM

LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/