Operations Associate

Job Description – Quality Assurance (QA) Engineer (Fresher)

Job Summary

We are looking for a passionate and detail-oriented QA Engineer (Fresher) to join our Quality Assurance team. The ideal candidate should possess a strong foundation in software testing principles, excellent analytical and communication skills, and a willingness to learn new technologies and tools. The candidate will work closely with Product Managers, Developers, and other stakeholders to ensure the delivery of high-quality software across web and mobile applications.

Key Responsibilities

• Understand business requirements and functional specifications.
• Prepare, review, and execute test cases and test scenarios.
• Perform Manual Testing, including Functional, Regression, Smoke, Sanity, and Exploratory Testing.
• Identify, document, and track defects throughout the Bug Life Cycle.
• Verify bug fixes and perform regression testing before release.
• Perform API testing using tools such as Postman.
• Collaborate with Developers, Product Managers, Business Analysts, and other stakeholders to clarify requirements and resolve issues.
• Participate in Agile ceremonies, including Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives.
• Prepare test reports and maintain QA documentation.
• Perform production validation and release verification.
• Continuously learn and adopt new testing tools, technologies, and best practices.

Required Skills & Qualifications

The ideal candidate should have:

• A good understanding of Software Testing concepts, SDLC (Software Development Life Cycle), and STLC (Software Testing Life Cycle).
• Knowledge of Manual Testing methodologies and best practices.
• Understanding of test case design, test scenarios, Bug Life Cycle, and defect reporting.
• Good knowledge of API Testing using tools like Postman.
• Basic understanding of SQL and the ability to write simple queries for database validation.
• Good knowledge of Automation Testing concepts and exposure to tools such as Selenium, Playwright, or similar frameworks.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Good documentation skills.
• Ability to communicate effectively with cross-functional stakeholders.
• Ability to work under pressure and manage multiple tasks or projects simultaneously.
• Eagerness to learn new tools, technologies, and testing methodologies.

Educational Qualification

• Bachelor's Degree in Computer Science, Information Technology, Information Science, Electronics, or a related field.
• Recent graduates or candidates with up to one year of experience are encouraged to apply.

• Preferred Skills (Good to Have)Familiarity with Jira, Azure DevOps, or similar defect management tools.
• Basic knowledge of Android and iOS application testing.
• Understanding of Agile/Scrum methodology.
• Exposure to automation frameworks such as Selenium, Playwright, or similar tools.
• Basic knowledge of Git or version control systems.

If you are interested pls WhatsApp us on this number nine three one six one two zero one three two

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. 

Job Description :

We are hiring for ASP.NET MVC/Core Developer for our office @ Ahmedabad location.

Hybrid work option.

We are looking candidates from Gujarat only.

Experience Range: 1-3 years

Role and Qualifications:

• Essential: Proficiency in ASP.NET MVC & ASP.NET Core, with a minimum of 1 year of hands-on experience
• Familiarity with .NET framework versions starting from .NET 4.5 and onwards
• Strong grasp of C#, JavaScript, TSQL, HTML, ASP.NET MVC, ASP.NET Core, ASP.NET Web API, and MSSQL
• Excellent verbal and written communication skills
• Even candidates with foundational knowledge are encouraged, including freshers

If you're an ASP.NET developer ready to contribute your skills within a dynamic environment, we're excited to welcome you, regardless of where you're located. Your expertise will be valued as we navigate the latest technologies and celebrate a culture of excellence.

Responsible for performing full-cycle recruiting functions including but not limited to job understanding, candidate sourcing, social networking, phone screening, email communication, documentation, summary writing and presentation.

Identifying right candidates with the right skills to match the US clients’ requirements Regularly interacting with Account Manager to understand the requirements

Should understand the requirement in depth to ensure quality sourcing and recruiting

Should ensure to revert submit profiles with quick turnaround time for timely submissions to meet sharp deadlines for each requisition

Make use of effective resourcing strategies, such as head hunting, Internet sourcing, networking, employee referrals

Must have experience on full Life Cycle of Recruiting (screening resumes, interviewing, offer extension and post-placement care)

Ability to work as a good team player, Maintaining & building the candidate database

Requirements:

Minimum 2 Years of Full Cycle Recruiting experience particularly in pharmaceutical /scientific/life science domain for US staffing and recruiting industry.

Excellent English language skills including reading, writing and speaking.

Ability to communicate fluently with foreign nationals.

Self-motivated, passionate and energetic professionals.

Comfortable to work in night shift (6.30PM to 3.30AM IST)

• 3+ years of experience in designing digital products.
• Ability to understand short and long-term goals of the product and business.
• Excellent understanding of user-centred design and visual design principles.
• A good understanding of frontend principles to guide the team from an engineering point of view.
• Understanding of behavioural analytics and goes by data-driven decisions, when needed. 
• Excellent communication and presentation skills and the ability to clearly articulate design decisions to the team and leadership.
• Keen interest in applying user research, user-needs validation and usability evaluation.
• Self-driven, comfortable with a fast-paced, always user-focused.
• A portfolio that showcases experience creating visual UI systems involved in overall creative direction down to icon systems, transitions, etc.
• Extensive knowledge and understanding of web and mobile platforms (iOS, Android design guidelines as well as their limitations

• You will be responsible for the entire recruitment process. You will work in sourcing the right candidate for the right job using multiple sources - social, online, offline, etc. plus College Campuses.
• You will plan, schedule, and oversee all our interviews and ensure it follows a process and schedule.
• You will create talent pipelines for our immediate and future requirements.
• Acquire potential candidates through various online channels (LinkedIn, Indeed, Glassdoor, Naukri, etc.) plus Engineering College Campuses
• Proactively promote and lead activities for adoption of company values for a positive office culture.
• Be a thought partner to the leadership team in developing and maintaining a strong culture
• Provide useful data to help guide decision making, and allow the company to scale effectively and efficiently.
• Develop, promote, and implement opportunities for skills and professional development of team members.
• info at teansoft.com your profile