ML Ops Engineer
ML Ops Engineer
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1 Vacancy
Job Description
ML Ops Engineer
Location: Alpharetta GA
Duration: Long Term
Skills Required:
- 4-8 years experience of applied machine learning/ML Ops 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 perf-ormance metrics etc.
Roles and Responsibilities:
- Work closely with Onsite Lead Data scientists Data Engineers and QA and client stakeholders.
- Evaluate in-put 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 cl-assification 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.
Tekshapers is an equal opportunity employer and will consider all applications without regards to race sex age color religion national origin veteran status disability sexual orientation gender identity genetic information or any characteristic protected by law.
Employment Type
Full-time
