Data Scientist

Job Title: Quality Assurance Engineer/ Tester

Location: Remote

Experience: 3+ Years

Role Overview

We are seeking an experienced Senior Quality Assurance Engineer to drive test strategy, automation, and end-to-end quality delivery for both Web2 and Web3 applications. The ideal candidate should have hands-on expertise in automation testing, API validation, and blockchain QA, along with strong analytical and leadership skills to guide QA processes and mentor junior testers.

Key Responsibilities

• Design, develop, and execute automated and manual test plans for web and blockchain-based applications.
• Develop robust automation frameworks using Selenium, Cypress, and Java/Python to enhance testing efficiency.
• Perform API testing and validation for Web2 and Web3 integrations using Postman and JMeter, ensuring reliability, accuracy, and performance.
• Test blockchain-related applications including non-custodial wallets, NFT platforms, and decentralized systems, ensuring transaction integrity and on-chain data accuracy.
• Collaborate closely with developers, product managers, and DevOps to ensure seamless CI/CD integration using Git and Jenkins.
• Maintain Requirement Traceability Matrices (RTM) and ensure coverage of business requirements across the QA lifecycle.
• Lead regression, integration, and performance testing cycles to ensure high-quality releases.
• Mentor junior QA engineers, define best practices, and drive continuous improvement across QA processes.
• Work in Agile/Scrum setups, managing sprint QA deliverables and participating in release readiness reviews.

Tools & Technologies

Automation & Testing: Selenium, Cypress, Postman, JMeter

Programming Languages: Java, Python

Version Control: Git, GitHub

CI/CD: Jenkins, Git-based pipelines

Bug Tracking: Jira

Blockchain QA Tools: MetaMask, Etherscan, Hardhat, Truffle (exposure)

Browsers & Platforms: Chrome DevTools

Requirements

• 2–3 years of hands-on QA experience across Web and Blockchain domains.
• Proven expertise in automation, performance, and functional testing using Selenium, Postman, and JMeter.
• Strong understanding of REST APIs, JSON, and CI/CD processes.
• Experience testing blockchain or cryptocurrency-based systems (wallets, NFTs, token transactions).
• Familiarity with Agile methodologies and sprint-based QA practices.
• Excellent problem-solving, analytical, and documentation skills.
• Ability to mentor team members and drive QA strategy improvements.

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. 

About the Role:

We are looking for a skilled AWS DevOps Engineer to join our Cloud Operations team in Bangalore. This hybrid role is ideal for someone with hands-on experience in AWS and a strong background in application migration from on-premises to cloud environments. You'll play a key role in driving cloud adoption, optimizing infrastructure, and ensuring seamless cloud operations.

Key Responsibilities:

• Manage and maintain AWS cloud infrastructure and services.
• Lead and support application migration projects from on-prem to cloud.
• Automate infrastructure provisioning using Infrastructure as Code (IaC) tools.
• Monitor cloud environments and optimize cost, performance, and reliability.
• Collaborate with development, operations, and security teams to implement DevOps best practices.
• Troubleshoot and resolve infrastructure and deployment issues.

Required Skills:

• 3–5 years of experience in AWS cloud environment.
• Proven experience with on-premises to cloud application migration.
• Strong understanding of AWS core services (EC2, VPC, S3, IAM, RDS, etc.).
• Solid scripting skills (Python, Bash, or similar).

Good to Have:

• Experience with Terraform for Infrastructure as Code.
• Familiarity with Kubernetes for container orchestration.
• Exposure to CI/CD tools like Jenkins, GitLab, or AWS CodePipeline.

Execute projects: Exceptional quality

Plan collaboratively: Detailed project

Liaise with clients: Manage expectations

Supervise projects: Ensure & maximize efficiency

Maintain standards: Conduct reviews

Generate reports: Data insights

We are seeking a Senior Data Scientist with hands-on experience in Generative AI (GenAI) and Large Language Models (LLM). The ideal candidate will have expertise in building, fine-tuning, and deploying LLMs, as well as managing the lifecycle of AI models through LLMOps practices. You will play a key role in driving AI innovation, developing advanced algorithms, and optimizing model performance for various business applications.

Key Responsibilities:

• Develop, fine-tune, and deploy Large Language Models (LLM) for various business use cases.
• Implement and manage the operationalization of LLMs using LLMOps best practices.
• Collaborate with cross-functional teams to integrate AI models into production environments.
• Optimize and troubleshoot model performance to ensure high accuracy and scalability.
• Stay updated with the latest advancements in Generative AI and LLM technologies.

Required Skills and Qualifications:

• Strong hands-on experience with Generative AI, LLMs, and NLP techniques.
• Proven expertise in LLMOps, including model deployment, monitoring, and maintenance.
• Proficiency in programming languages like Python and frameworks such as TensorFlow, PyTorch, or Hugging Face.
• Solid understanding of AI/ML algorithms and model optimization.

Java Developer Responsibilities:

• Designing and implementing Java-based applications.
• Analyzing user requirements to inform application design.
• Defining application objectives and functionality.
• Aligning application design with business goals.
• Developing and testing software.
• Debugging and resolving technical problems that arise.
• Producing detailed design documentation.
• Recommending changes to existing Java infrastructure.
• Developing multimedia applications.
• Developing documentation to assist users.
• Ensuring continuous professional self-development.

Java Developer Requirements:

• Degree in Computer Science or related field.
• Experience with user interface design, database structures, and statistical analyses.
• Analytical mindset and good problem-solving skills.
• Excellent written and verbal communication.
• Good organizational skills.
• Ability to work as part of a team.
• Attention to detail.

Skills / Requirements

· Experience: 2-5 years

· Must Have: HTML / CSS / JavaScript

· Must Have: Angular development, Exposure to NodeJs

· Good to Have: Ionic

Essential Job Duties and Responsibilities

· Work with the Project Architects & Business owners to understand requirements

· Create performant, efficient code

· Design and development of features/modules

· Code review, Testing and Deployment

· Manage, Guide and Mentor team resources.

Desired Attributes

· Understanding of good system design, reusable components, extensibility etc.


· Excellent written and spoken communication skills


· Proven working experience in web and server-side programming.

· Experience with any MVC Framework

· Hands on knowledge of any source control Git

· Understanding of web applications including security, session management, and best development practices

· Experience working in an Agile / Scrum development process will be a bonus

· Exposure to testing frameworks for the Unit test, Integration test, and automated testing

Qualification

B.E / B.Tech / M.E / M.Tech in Computer Science or Electronics & Communication / BSC IT / BCA/ MCA.

Employment Type

Full time.