Freelance Content Writer

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

Role: Quality Analyst

Responsibilities:

 Reviewing software requirements and preparing test scenarios

 Executing tests on software usability

 Conduct unit testing and integration testing and troubleshooting & bug management related to the modules

 Preparing reports on all aspects related to the software testing carried out on a module and reporting to the technical team

Minimum Qualification:

 4-year (Full-time) Bachelor’s Degree in IT/CSE/Electronics & Communication / Computer Applications or equivalent OR MCA from any university/ Professional Institution recognized by Government

 6+ years of relevant experience including experience in manual or automation testing

 Ability to multi-task and display strong result-oriented approach

 Good communication, project execution & planning skills

 Excellent inter-personal and team skills and ability to work in a multi-cultural environment.

About the Role

We’re looking for a passionate Fullstack Product Engineer with a strong JavaScript foundation to work on a high-impact, scalable product. You’ll collaborate closely with product and engineering teams to build intuitive UIs and performant backends using modern technologies.

Responsibilities

• Build and maintain scalable features across the frontend and backend.
• Work with tech stacks like Node.js, React.js, Vue.js, and others.
• Contribute to system design, architecture, and code quality enforcement.
• Follow modern engineering practices including TDD, CI/CD, and live coding evaluations.
• Collaborate in code reviews, performance optimizations, and product iterations.

Required Skills

• 4–6 years of hands-on fullstack development experience.
• Strong command over JavaScript, Node.js, and React.js.
• Solid understanding of REST APIs and/or GraphQL.
• Good grasp of OOP principles, TDD, and writing clean, maintainable code.
• Experience with CI/CD tools like GitHub Actions, GitLab CI, Jenkins, etc.
• Familiarity with HTML, CSS, and frontend performance optimization.

Good to Have

• Exposure to Docker, AWS, Kubernetes, or Terraform.
• Experience in other backend languages or frameworks.
• Experience with microservices and scalable system architectures.

Key Responsibilities

• Develop and implement user-centric features on web platforms to enhance overall experience and usability.
• Collaborate with designers, backend engineers, and product teams to deliver cohesive and scalable products.
• Solve diverse technical and integration challenges by building efficient solutions that connect with automation systems.
• Apply best practices to create reusable, testable, and maintainable components and frameworks.
• Optimize application performance and ensure responsive and adaptive design across multiple devices and browsers.

Qualifications

• Strong understanding of modern front-end development frameworks and architecture.
• Hands-on experience building interactive, high-performance web applications.
• Proficiency with:
• React, Redux, and TypeScript
• Build tools like Vite, CSS preprocessors such as Less/Sass
• Solid grasp of UI/UX principles, responsive design, and accessibility standards.
• Experience integrating front-end solutions with REST APIs or automation systems is a plus.
• Strong problem-solving skills and a collaborative mindset.

mavQ is seeking a motivated Lead FullStack Enginner to join our team. mavQ is a low-code Artificial Intelligence platform that enables organizations to build fast, cohesive, and user-friendly applications to digitally transform while creating valuable insights. mavQ offers AI-enabled products such as Intelligent document processing, a contact center platform, a suite of electronic research administration tools, DataX- a data orchestration and pipeline tool with a built-in machine learning workbench, and more. mavQ also offers professional services for full-stack development and AI services on the multi-cloud ecosystem. Learn more... 

You will be an integral member of the Professional Services team dedicated to work on the recently acquired mavQ’s Electronic Research Administration products built on a REST based Java platform running in Tomcat. The work is about 70% implementation and new development and 30% maintenance.

Skills Required:

• At least 8 years of experience with Frontend and Backend Technologies.
• Experience in Java, Spring, API Integration, Angular, Frontend Development.
• Ability to work with caching systems such as Redis.
• Good understanding of cloud computing & Distributed systems.
• Experience in people management.
• Capability of working within a budget of hours and completing projects by a deadline to appropriate quality standards
• Communicate clearly and ask clarification questions, dig deeper.
• Ability to work from visual and functional specifications
• Work with a positive attitude even when circumstances may be unfavorable
• Understand RESTful APIs, MVC concepts, and how to effectively use SVC systems
• Ability to work effectively in a team of developers and representatives of other functional groups, such as design
• ​​Good Experience in CI/CD, Kubernetes, Test suits, Docker.
• Good Understanding of the Command line.
• Good with client Interaction.

Roles & Responsibilities:

• Effective Problem Solving Skills. Assist the team with debugging & guidance when needed.
• Responsible for managing a team of 8-10 developers.
• Lead the product’s technical domain with full authority.
• Assist the product & project management teams with setting timelines & priorities for feature development.
• Drive good coding standards & development practices in the team. 
• Own the code review process for the team & ensure high quality work.
• Assist with system & architecture design & research into new technologies.
• Be involved with client communications when needed from a product sales perspective. 

What we offer:

• Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)
• Sum Insured: INR 5,00,000/- 
• Maternity cover upto two children
• Inclusive of COVID-19 Coverage
• Cashless & Reimbursement facility
• Access to free online doctor consultation

• Personal Accident Policy (Disability Insurance) -
• Sum Insured: INR. 25,00,000/- Per Employee
• Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
• Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
• Temporary Total Disability is covered

• An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver  benefit
• Monthly Internet Reimbursement of upto Rs. 1,000 
• Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others

***

• Develop new user-facing features
• Build reusable code and libraries for future use
• Ensure the technical feasibility of UI/UX designs
• Optimize application for maximum speed and scalability
• Assure that all user input is validated before submitting to back-end
• Collaborate with other team members and stakeholders