
ML Engineer II - Aws, Aws Cloud
at Global Digital Transformation Solutions Provider
Job Details
- Job Title: ML Engineer II - Aws, Aws Cloud
- Industry: Technology
- Domain - Information technology (IT)
- Experience Required: 6-12 years
- Employment Type: Full Time
- Job Location: Pune
- CTC Range: Best in Industry
Job Description:
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
Aws, Aws Cloud, Amazon Redshift, Eks
NP: Immediate – 30 Days

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Proficient understanding of code versioning tools, such as Git.
Lead code reviews to drive teams to the highest standards for Node.js web apps.
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Years of experience: 2- 7 Yrs
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that is deeply motivated to make that happen. Rizzle is a community for people to talk, react, perform, or create a
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• Build and ship mockups, flows, spec, prototypes and proper handoff to developers along with
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• Enjoy a start-up culture where you learn and grow along with the organization. We know when to
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ENGINEERING @MYNTRA
Myntra’s Engineering team builds the technology platform that powers our customer’s
shopping experience and enables the smooth flow of products from suppliers to our
customer’s doorsteps. We work on areas such as building massive-scale mobile and
web-applications, engaging user-interfaces, big-data analytics, mobile apps, content
systems, catalogue systems, search systems, supply chain systems, imaging and
visualization systems for products etc. We are a small technology team where each
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rapidly growing organization and gain exposure to all the parts of a comprehensive
eCommerce platform.
YOUR RESPONSIBILITIES
1. Technical Guidance: You will provide technical leadership to a team of excellent software
engineers; this requires that you have the technical depth to make complex design decisions
and the hands-on ability to lead by example
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● Total of 5+ years’ experience building cutting edge products. Deep experience in
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complex products
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frameworks and systems, strong abstraction and architecture skills
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B Tech/BE in Computer Science or equivalent or higher from a reputed institution.
REQUIREMENTS
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