Careers at LTM
Specialist - Architecture
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Role description
1 Feature Engineering Pipeline Management
Design and scale feature pipelines using Snowpark PythonSQL to transform raw data
into productionready ML features
Implement and manage the Snowflake Feature Store as a centralized governed repository
for batch training and lowlatency online inference
Optimize data ingestion and processing costs using Snowflakes elastic compute
multicluster warehouses and search optimization services
2 Model Training Orchestration
Establish scalable ML training infrastructure using Snowflake Notebooks and
Container Runtimes CPUGPU instances without data egress
Orchestrate endtoend ML workflows and retraining schedules using Snowflake Tasks
and Streams
Integrate opensource frameworks ScikitLearn PyTorch XGBoost into Snowflake
ecosystem via Snowpark ML
3 Model Deployment Serving
Manage the Snowflake Model Registry for cataloging versioning metadata logging and
lifecycle governance Development Staging Production
Deploy models for batch and realtime inference using UserDefined Functions UDFs
or containerized services
Integrate LLMs and GenAI applications using Snowflake Cortex AI functions
4 MLOps Platform Setup Operations
Design and build endtoend MLOps platform including CICD pipelines model registry
experiment tracking and feature store
Implement automated model training validation deployment and monitoring workflows
Establish reusable ML pipeline templates and accelerators for development teams
5 CICD Automation Infrastructure
Build automated CICD pipelines using Terraform for model testing validation and promotion
Implement InfrastructureasCode IaC using Terraform to provision Snowflake
resources securely and repeatably
Enforce data and model governance through Snowflakes native security
rowlevel security data masking RBAC
6 Monitoring Observability
Deploy ML monitoring frameworks to track model performance data drift
and prediction latency
Design automated retraining loops triggered by accuracy drops or data distribution shifts
Build operational dashboards using Streamlit in Snowflake for realtime model health visibility
7 Snowflake ML Standards Development
Define and enforce ML engineering standards patterns and best practices within Snowflake
Develop Snowflakenative ML workflows for feature engineering training and inference
Manage Snowflake computewarehouse configurations optimized for ML workloads
8 ML Development Assistance
Collaborate with data scientists to productionize models from prototype to
productiongrade code
Build shared libraries utilities and SDKs to accelerate model development
Conduct code reviews and enforce codingtesting standards for ML codebases
9 Governance Documentation
Establish model versioning lineage tracking and reproducibility standards
Document platform architecture runbooks and onboarding guides
Ensure compliance with RBCs data governance and security policies
Skills
Mandatory Skills : MLOPS
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:
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.
Benefits
Compensation range: $ 98,000.00 to 146,000.00 per year
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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.ltm.com/careers/recruitment-fraud-alert
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| Location | Charlotte, NC |
| Salary | $98,000–$146,000 Per Year |
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