
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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We are seeking a skilled Developer to join our engineering team. The ideal candidate will have strong expertise in Java and Python ecosystems, with hands-on experience in modern web technologies, messaging systems, and cloud-native development using Kubernetes.
Key Responsibilities
- Design, develop, and maintain scalable applications using Java and Spring Boot framework
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- Develop microservices following best practices and design patterns
- Collaborate with cross-functional teams to deliver high-quality software solutions
- Write clean, maintainable code with comprehensive documentation
- Participate in code reviews and contribute to technical architecture decisions
- Troubleshoot and optimize application performance in containerized environments
- Implement CI/CD pipelines and follow DevOps best practices
- Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, or related field
- 4+ years of experience in software development
- Strong proficiency in Java with deep understanding of web technology stack
- Hands-on experience developing applications with Spring Boot framework
- Solid understanding of Python programming language with practical Flask framework experience
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- Experience deploying and managing applications in Kubernetes
- Understanding of microservices architecture and RESTful API design
- Familiarity with containerization technologies (Docker)
- Experience with version control systems (Git)
- Skills & Competencies
- Skills Java (Spring Boot, Spring Cloud, Spring Security)
- Python (Flask, SQL Alchemy, REST APIs)
- NATS messaging patterns (pub/sub, request/reply, queue groups)
- Kubernetes (deployments, services, ingress, ConfigMaps, Secrets)
- Web technologies (HTTP, REST, WebSocket, gRPC)
- Container orchestration and management
- Soft Skills Problem-solving and analytical thinking
- Strong communication and collaboration
- Self-motivated with ability to work independently
- Attention to detail and code quality
- Continuous learning mindset
- Team player with mentoring capabilities
Role Overview
The SDR will be responsible for identifying potential clients, generating qualified leads, and supporting the sales head in moving prospects through the funnel. This is an entry to junior-level sales role with structured growth opportunities.
Key Responsibilities
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- Excellent verbal and written communication in English (Arabic knowledge is a plus, but not mandatory).
- Comfortable with LinkedIn, cold calling, and writing outreach emails.
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- Basic understanding of CRM, SaaS, or IT services is preferred (training will be provided).
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- Incentives for qualified leads and closed deals.
- Opportunity to work closely with leadership and learn enterprise sales.
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Experience:
Should have subject matter expertise in cloud platforms (AWS, Azure & GCP), and next generation technologies
Should possess experience in designing and delivering architectural solutions for mission critical applications using cloud native development and architecture and cloud migration methodologies and tools
Demonstrated as a trusted advisor for customers on various Next Gen technology solution options and presented strong value proposition to win the deals
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Database technologies – Structured & Unstructured data storage platforms
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Responsible to formulate business development strategies for NextGen Application Development Technology practice
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