
ML Engineer II - Aws, Aws Cloud
at Global Digital Transformation Solutions Provider
MUST-HAVES:
- Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
- Notice period - 0 to 15 days only
- Hybrid work mode- 3 days office, 2 days at home
SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS
ADDITIONAL GUIDELINES:
- Interview process: - 2 Technical round + 1 Client round
- 3 days in office, Hybrid model.
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, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (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 Sage maker 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)

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Job Responsibilities
This position will be responsible to consult with clients and propose architectural solutions to help move & improve infra from on-premise to cloud or help optimize cloud spend from one public cloud to the other.
- Be the first one to experiment on new age cloud offerings, help define the best practice as a thought leader for cloud, automation & Dev-Ops, be a solution visionary and technology expert across multiple channels.
- Use your experience in Google cloud platform, AWS or Microsoft Azure to build hybrid-cloud solutions for customers.
- Design and implement robust cloud solutions on AWS to meet organizational requirements.
- Leverage AWS services like EC2, S3, Lambda, RDS, ECS, and EKS to build and maintain solutions.
- Design, deploy, and manage Kubernetes clusters for containerized workloads.
- Implement and optimize CI/CD pipelines for Kubernetes-based applications.
- Ensure high availability, scalability, and performance of Kubernetes clusters.
- Develop and manage infrastructure using Terraform to ensure repeatable and automated deployments.
- Create and maintain Terraform modules and scripts for various cloud environments.
- Lead migration projects to move applications, workloads, and data from on-premises or other cloud platforms to AWS.
- Conduct assessments and provide recommendations for cloud readiness and optimization.
- Implement best practices for security, compliance, and governance in AWS environments.
- Manage IAM policies, roles, and permissions to ensure secure access.
- Confident working with others to inspire a high-quality standard. Work closely with cross-functional teams, including developers, operations, and business stakeholders, to understand requirements and provide technical solutions.
Accomplishment Set
- Passionate, persuasive, articulate Cloud professional capable of quickly establishing interest and credibility
- Good business judgment, a comfortable, open communication style, and a willingness and ability to work with customers and teams.
- Strong service attitude and a commitment to quality.
- Highly organized and efficient.
- Confident working with others to inspire a high-quality standard. Work closely with cross-functional teams, including developers, operations, and business stakeholders, to understand requirements and provide technical solutions.
- Communicate complex technical concepts to non-technical stakeholders.
Qualification
Is Education overrated? Yes. We believe so. However there is no way to locate you otherwise. So we might be looking for at least a Bachelor's or Master's degree in engineering from a reputed institute or you should be programming from 12. And the latter is better along with:
Passion to tech-awesome, insatiable desire to learn the latest of the new-age cloud tech, highly analytical aptitude and a strong desire to deliver outlives those fancy degrees!
- 7+ years of experience with at least 5+ years of experience with at least 2 - 3 years of hands-on experience in Cloud Computing (AWS/GCP/Azure) and IT operational experience in a global enterprise environment.
- Knowledge of programming against cloud platforms such as Google Cloud Platform and lean development methodologies.
- Hands-on expertise with Kubernetes (EKS) and Terraform.
- Proven experience in designing and executing cloud migration projects.
- Strong understanding of AWS core services (e.g., EC2, S3, Lambda, RDS, VPC).
- Proficiency in scripting and automation using tools like Bash, Python, or PowerShell.
- Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD, AWS CodePipeline).
- Knowledge of networking fundamentals, including DNS, VPN, Load Balancing, and Firewalls.
- Good analytical, communication, problem-solving, and learning skills.
ROLES AND RESPONSIBILITIES:
We are seeking a skilled Data Engineer who can work independently on data pipeline development, troubleshooting, and optimisation tasks. The ideal candidate will have strong SQL skills, hands-on experience with Databricks, and familiarity with cloud platforms such as AWS and Azure. You will be responsible for building and maintaining reliable data workflows, supporting analytical teams, and ensuring high-quality, secure, and accessible data across the organisation.
KEY RESPONSIBILITIES:
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
- Build, optimise, and troubleshoot SQL queries, transformations, and Databricks data processes.
- Work with large datasets to deliver efficient, reliable, and high-performing data solutions.
- Collaborate closely with analysts, data scientists, and business teams to support data requirements.
- Ensure data quality, availability, and security across systems and workflows.
- Monitor pipeline performance, diagnose issues, and implement improvements.
- Contribute to documentation, standards, and best practices for data engineering processes.
IDEAL CANDIDATE:
- Proven experience as a Data Engineer or in a similar data-focused role (3+ years).
- Strong SQL skills with experience writing and optimising complex queries.
- Hands-on experience with Databricks for data engineering tasks.
- Experience with cloud platforms such as AWS and Azure.
- Understanding of ETL/ELT concepts, data modelling, and pipeline orchestration.
- Familiarity with Power BI and data integration with BI tools.
- Strong analytical and troubleshooting skills, with the ability to work independently.
- Experience working end-to-end on data engineering workflows and solutions.
PERKS, BENEFITS AND WORK CULTURE:
Our people define our passion and our audacious, incredibly rewarding achievements. The company is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India.
Job Title: Test Automation Engineer Location: Bangalore Experience: 6+ years Immediate Joiners are Preferred. We're building systems where correctness, performance, and reliability are non-negotiable. We need an engineer who treats testing as a first-class discipline - not a checklist activity. About the role: ● This is not a test-case writing role. You'll own the entire approach to testing — architecture, tooling, and outcomes. ● You'll work across backend-heavy, distributed systems where failures are nuanced and the stakes are real. ● You'll have direct access to leadership, no layers, and genuine influence over engineering quality standards. What we're looking for: ● Ownership mindset.You own outcomes, not just test cases. You identify gaps without being asked. ● Engineering depth.You design test systems, not just scripts. You think in architectures. ● Systems intuition.You understand how distributed systems fail at scale — not just on the happy path. ● Observability fluency.You're comfortable with logs, metrics, and tracing to debug failures in production-like environments. ● Self-direction.You figure things out and move. You don't wait for instructions. ● AI-augmented workflow.You use AI tools intelligently to accelerate your work — not as a substitute for thinking What you'll work on: ● End-to-end test automation for backend-heavy, distributed systems ● Building test frameworks for APIs, microservices, and event-driven architectures ● Load testing, failure scenario simulation, and edge-case validation ● Deep CI/CD pipeline integration — testing as a continuous engineering activity ● Kernel, firmware, and hardware-level validation(advantageous, not required) Tech Stack & Expectations: ● Languages: Python / Go (or strong scripting expertise) ● Frameworks: PyTest, custom frameworks, or similar ● Infrastructure: Docker, Kubernetes ● Systems: Distributed systems, APIs, async/event-driven architectures ● Databases: PostgreSQL, Redis ● Messaging: Kafka, NATS, RabbitMQ ● Observability: Logging, metrics, tracing ● Bonus: Experience with kernel-level or firmware-level testing What you will get: ● Full ownership over how testing is designed and implemented — your decisions stick ● Hard, interesting problems on systems where quality genuinely matters ● Direct access to leadership with no bureaucratic layers ● Early-stage influence — your work defines engineering quality standards here ● Compensation calibrated to your level of expertise
- Deployment and production support.
- Strong knowledge of SQL database and experience in writing queries with and without ORM.
- Designing and creating RESTful APIs for internal and partner consumption
- Experience of code versioning tools, such as Git, Bitbucket, Github
Position/Title: Senior - Talent Acquisition
Department: Human Resources
Employment Type: Full-time
Location: Mumbai
Shifts (if any): 10:00 AM - 7:00 PM (candidate should be flexible to work as per business requirement)
Experience: 5-10 years
This position is on 3rd party payroll.
About Aeries:
Aeries is a global services company providing technology, business Founded in 2012, Aeries Technology is a Nasdaq listed global professional services and consulting partner, headquartered in Mumbai, India, with centers in the USA, Mexico, Singapore, and Dubai. We provide mid-size technology companies with the right mix of deep vertical specialty, functional expertise, and the right systems & solutions to scale, optimize and transform their business operations with unique customized engagement models. Aeries is Great Place to Work certified by GPTW India, reflecting our commitment to fostering a positive and inclusive workplace culture for our employees.
For more information, log on to http://www.aeriestechnology.com
Key Responsibilities:
1. Non and IT Recruitment Strategy:
· Develop a specialized recruitment strategy to attract top talent in the Non IT and IT sectors.
· Stay updated on the latest IT and NON IT developments to anticipate hiring needs.
2. Candidate Sourcing and Engagement:
· Identify potential candidates through various channels including job portals, networking events, and referrals.
· Engage potential candidates with an understanding of technical requirements such as SAP, Oracle, cloud technologies, programming languages, and more.
3. Stakeholder Collaboration:
· Work closely with IT and Non IT department heads to define precise hiring needs and specifications.
4. Candidate Assessment:
· Conduct preliminary screening and technical assessments, ensuring candidates meet the technical and cultural fit for roles.
· Coordinate technical tests and interviews with the respective teams.
5. Market Intelligence:
· Stay informed about market trends, competitive salaries, and benefits to attract and retain the best talent in the ERP and IT sectors.
6. Process and Metrics Management:
· Continually refine recruitment processes to enhance efficiency and effectiveness.
7. Candidate Experience:
· Ensure a seamless experience for candidates from the initial approach through the onboarding process.
· Address any specific concerns related to ERP and IT roles.
Desired Minimum Qualification:
· Bachelor’s degree
· A minimum of [5 to 10] years of experience in talent acquisition with a focus on Non-IT and IT roles
· IT technologies.
· Proven track record in hiring for technical roles.
The Job responsibilities of the candidate shall include but not limited to the Job Description & to perform any other tasks/functions as required by the Company.
This role is focused on Growth initiatives at cure.fit. As a Growth PM, you will be responsible for driving growth in users, revenue via a data-driven, experiment-based, systematic approach to growth and execute on key growth initiatives to achieve growth targets. Key responsibilities: - Identify levers and opportunities using which we can have more users, higher sales, better engagement - Build and deploy experiments to capitalise on these opportunities - Identify what works and what doesn't and scale up/down experiments accordingly - Develop a deep understanding of customers and engagement loops - Productify key learning’s from the experiments - Participate in tactical sales or marketing initiatives - Over time, build a growth machinery and systematised approach to driving growth - Strengthen capabilities in key areas such as SEO/ASO/Content/Referral This is a foundational role on the team and you will have the one-of-a-kind opportunity to develop a deep understanding of the core business/engagement loops and have high degree of impact. PMs on the team enjoy high degree of responsibility and ownership. You will work closely with Sales, Marketing and Technology teams to conceptualise, plan, execute and productize growth initiatives.
Looking for:
Understanding of consumer behaviour and psychology
We are looking for PMs/Engineers/Marketers with 3+ years of PM/Software Engineering experience in building consumer software products. You are very customer focused and have a strong understanding of the customer behaviour and psychology to come up with ideas and hypothesis to drive growth. You care not just about the technology but also the psychology that makes great products.
Impact orientation, curiosity, and hacker-mindset
You are impact-oriented and are constantly looking to achieve scale and leverage by leveraging data and consumer insights. You are highly curious and eager to learn/develop intelligence - you are never satisfied by just knowing “what happened” but are keen to understand “why it happened”. You have a hacker mindset and a sense of hustle which you use for prioritizing and bringing ideas to life.
Strong analytical and scrappy technical skills
You have 3+ years of experience as a PM or as a Software Engineer focused on building consumer products, especially on mobile devices (apps, progressive web). You come with analytical and data operations skills (ETL) and you are largely self-sufficient in pulling and analyzing data and deriving sound conclusions.
Skill set:
- Prior experience of 3+ years in building consumer products
- Strong understanding of hypothesis-driven, data-backed experimentation
- Strong analytical and data engineering skills
Job Description
We are looking for a Mobile and Javascript developer who is proficient with React Native, React.js, and Typescript with 2 years of experience. The primary focus will be on developing UI components with React Native and React JS workflows with Typescript. This will include the use of automated integration tests with RTL. These components are expected to be robust and easy to maintain with the highest code quality. The coordination with the rest of the team working on different layers of the infrastructure should be effective.
Responsibilities
- • Delivering a complete mobile application OR front-end application using React Native/React JS and Typescript.
- • Building reusable components/widgets and front-end libraries for future use.
- • Translating designs and wireframes into high-quality code.
- • Writing tested, idiomatic, and documented code.
- • Optimizing components for maximum performance across multiple web browsers.
- • Mentoring junior developers, peer-to-peer code reviews, and ensuring that high.
- • Code quality bar should be maintained. Skills
- • Excellent proficiency in React Native, JavaScript, CSS, and HTML, including DOM manipulation and the JavaScript object model.
- • Thorough understanding of React Native, React JS, Typescript, and its core principles.
- • Experience with popular React Native andReact.js workflows (such as React-Redux, React-Router, React Hooks, etc.)
- • Experience with Class components and Functional components.
- • Experience with React Testing Library (RTL). Familiarity with Enzyme, Jest Framework and Cypress.
- • Experience with data structure libraries (e.g. Immutable.js)
- Experience with Backend technology like NodeJS, AWS
- • Familiarity with the front-end development tools such as Babel, Webpack, NPM, etc.
- • Experience with code versioning tools Git and its workflows.
- • Ability to solve problems effectively.
- • Ability to learn and explore new things effectively.
- • Familiarity with RESTful APIs.
- • Ability to understand business requirements and translate them into technical requirements.
- • Professional, precise communication skills.
- • Clear understanding of design patterns especially MV*.
- Experience with AWS is a big plus
An ideal candidate must possess excellent Logical & Analytical skills. You will be working in a team as well on diverse projects. The candidate must be able to deal smoothly and confidently with the Clients & Personnel.
Key roles and Responsibilities:
⦁ Able to design and build efficient, testable and reliable code.
⦁ Should be a team player sharing ideas with the team for continuous improvement and development process.
⦁ Good Knowledge on Spring Boot, Spring MVC, J2EE and SQL Queries.
⦁ Stay updated of new tools, libraries, and best practices.
⦁ Adaptable, Self-Motivated, must be willing to learn new things.
⦁ Sound Good knowledge on HTML, CSS, JavaScript.
Basic Requirements:
⦁ Bachelors' Degree in Computer Science Engineering / IT or related discipline with a good academic record.
⦁ Excellent communication skills and interpersonal skills.
⦁ Knowledge on SDLC flow from requirement analysis to deployment phase.
⦁ Should be able to design, develop and deploy applications.
⦁ Able to identify bugs and devise solutions to address and resolve the issues.










