Machine Learning Engineer

4 weeks ago

Noida, India Digihelic Solutions Private Limited Full time

Job Role : ML Engineer.Experience : 6-12 Years.Location : Pune, Bangalore, Hyderabad, Trivandrum, Chennai, Kochi, Gurgaon, Noida.Key Summary :The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and Development :- Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern Preparation :- Prepare, cleanse, and transform data for model training and Implementation :- Implement and optimize machine learning algorithms and statistical Integration :- Integrate models into existing systems and Deployment :Deploy models to production environments and monitor :- Work closely with data scientists, software engineers, and other Improvement :- Identify areas for improvement in model performance and :- Programming and Software Engineering : Knowledge of software engineering best practices (version control, testing, CI/CD).- Data Engineering : Ability to handle data pipelines, data cleaning, and feature engineering.- Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph.- Model Deployment and Monitoring : MLOps Experience in deploying ML models to production environments.- Knowledge of model monitoring and performance experience :- Amazon SageMaker : Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements.- AWS Cloud Infrastructure : Familiarity with S3, EC2, Lambda and using these services in ML workflows.- AWS data : Redshift, Glue.- Containerization and Orchestration : Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS).Skills :- Aws, Aws Cloud, Amazon Redshift, Eks. (ref:hirist.tech)

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