
ML Engineer II - Aws, Aws Cloud
at Global Digital Transformation Solutions Provider
Core Responsibilities:
- The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
- Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
- Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
- Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
- System Integration: Integrate models into existing systems and workflows.
- Model Deployment: Deploy models to production environments and monitor performance.
- Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
- Continuous Improvement: Identify areas for improvement in model performance and systems.
Skills:
- 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 evaluation.
Required 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
Must-Haves
Machine Learning +Aws+ (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sagemaker
Notice period - 0 to 15days only
Hybrid work mode- 3 days office, 2 days at home

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Job Title: Full Stack/ Frontend Developer
Location: Chennai, India
Duration: Full-Time
Position Overview
We are seeking an experienced and motivated Full Stack/ Frontend Developer to join our innovative team. If you are passionate about coding, problem-solving, and building intuitive user interfaces, we would love to hear from you! In this role, you’ll work closely with back-end developers and UX/UI designers to deliver exceptional web applications for the higher education sector.
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- Hands-on experience with implementing Role based User authentication and authorization system
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Must haves:
- Strong problem solving skills
- Passion for building robust systems that are engineered to handle failure scenarios, an attitude to maintain coding standards
- Strong advocate for producing quality software who makes sure issues are raised and resolved
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- Knowledge of data structures and algorithms
- Hungry for more responsibility and knowledge
- Experience with at least one of the cloud platforms like AWS, GCP, Azure, Digital Ocean etc. (docker, Kubernetes, microservice good to have)
Skills: NodeJs
Experience required: 4+ years
Job Type: Full time/ Permanent
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- Company-sponsored certifications.
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Our client is the Health-tech initiative of India's largest business house. Started in 2015, it empowers healthcare providers and consumers in India. All healthcare monitoring services are made available through an app that will help connect doctors, hospitals, pharmacies, laboratories and consumers, enabling preventive and predictive healthcare. It helps the care-givers to track the entire patient journey from the initial appointment and maintaining their records, generating lab test reports to providing virtual consultation and home-care solutions. It is expected that this futuristic guide will strengthen doctor-patient relationship and enhance the in-clinic experience.
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- Building components for the company's advanced health tech platform using Java, Solr, SpringBoot, DialogFlow
- Communicating effectively in a cross-functional product development team and present ideas and solutions effectively
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Website: https://moneyhop.co/">https://moneyhop.co/
About Individual
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