Coforge · 1 day ago
Machine Learning Ops (MLOps) Engineer
Alpharetta, GA
Full-time
Onsite
Mid, Senior Level
4+ years expCoforge is seeking a Machine Learning Ops Engineer to join their team in Alpharetta, GA. The role involves applying machine learning techniques in the BFS and Investment Management industry, focusing on model deployment and enhancement for fraud detection. The candidate will work closely with data scientists and engineers to ensure high-quality model performance and automation in AI workflows.
Artificial Intelligence (AI)Software
Hiring Manager
Arpan Chandra
Responsibilities
Work closely with Onsite Lead, Data scientists, Data Engineers, and QA and client stakeholders
Evaluate input data for various statistical properties i.e., data drift using PSI and other metrics
Develop methods for monitoring data and models and efficient processes for updating or replacing old models with ones trained on new data or with the latest, state-of-the-art, pretrained models available
Skilled in evaluation metrics like precision, recall, F1-score, and AUC-ROC, ensuring high accuracy and precision in classification and regression models for Fraud
Ensure right-fitting of architecture in AWS for the models at hand to optimize model inferencing
Strong working command of AWS SageMaker, MLFlow, and CloudWatch is a must
Should have hands on experience with deploying CI/CD Pipelines in AWS
Assist with documentation and governance of all ML and NLP pipeline artifacts
Find innovative solutions that increase automation and simplify work in AI workflows
Refactor and productionize research code, models and data while maintaining the highest levels of deployment practices including technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution
Qualification
Required
4-8 years' experience of applied machine learning in BFS / Investment Management industry
PhD or MS in Computer Science, Statistics or related field
Expertise in Machine Learning algorithms and frameworks: Training and tuning pre-trained models, Working with structured and unstructured for Fraud models
Deep proficiency in Python with experience developing production-quality Python modules
Strong domain focus on fine-tuning and enhancing fraud detection models
Deploying models in AWS production environments
Strong command on AWS cloud stack with working knowledge of architecture components i.e., SageMaker, Bedrock, Lambda, Lex, CloudWatch, CloudTrail, Redshift ML, DynamoDB, CodeBuild, CodeDeploy, S3, EC2, IAM, AMIs
Proficient in API development using Fast API, Flask, etc. delivering asynchronous AI inference services and scalable API solutions for AI-powered applications
Good command over statistical principles of data and model quality e.g., PSI, model performance metrics etc
Skilled in evaluation metrics like precision, recall, F1-score, and AUC-ROC, ensuring high accuracy and precision in classification and regression models for Fraud
Strong working command of AWS SageMaker, MLFlow, and CloudWatch is a must
Should have hands on experience with deploying CI/CD Pipelines in AWS
Assist with documentation and governance of all ML and NLP pipeline artifacts
Find innovative solutions that increase automation and simplify work in AI workflows
Refactor and productionize research code, models and data while maintaining the highest levels of deployment practices including technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution
Company
Coforge
Coforge is a IT solutions organization, servicing customers in North America, Europe, Asia and Australia.
10001+ employees
H1B Sponsorship
Coforge has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (368)
2024 (292)
2023 (325)
2022 (43)
Funding
Current Stage
Public CompanyTotal Funding
$489.46MKey Investors
BPEA EQT
2023-05-02Post Ipo Secondary· $108.46M
2019-04-06Post Ipo Equity· $381M
2004-08-30IPO
Leadership Team
Sudhir Singh
CEO and Executive Director
Manish Hermajani
Senior Vice President, Head of Investor Relations
Recent News
Business Standard India
2026-01-05
2026-01-05
2026-01-05
Company data provided by crunchbase