Technical Implementation Specialist

Key Responsibilities:

·      Architectural Leadership: Design and lead the development of robust, scalable AI architectures, ensuring high performance, reliability, and security.

·      Applied Mathematics & Statistics: Apply statistical analysis, numerical computation, and mathematical modeling to derive insights from large-scale data and optimize model performance.

·      Deep Learning Development: Design, train, and deploy advanced Deep Learning (DL) models.

·      Technical Mentorship: Mentor engineering teams on best practices for AI/ML, coding standards, and architectural design.

·      Model Optimization: Optimize models for speed, efficiency, and accuracy using techniques like pruning, quantization, or GPU acceleration.

·      Strategy & Innovation: Evaluate and select appropriate AI frameworks, tools, and platforms, staying abreast of cutting-edge research and industry trends.

Qualifications:

Required:

·      Education: Master's or PhD in Computer Science, Applied Mathematics, Statistics, Physics, or a related quantitative field.

·      Experience: 10+ years of experience in software development, with at least 3-5 years in a Applied Mathematics and Deep learning.

·      AI/ML Expertise: Proven experience designing and deploying deep learning models in production using frameworks.

·      Mathematics/Statistics: Strong proficiency in linear algebra, calculus, probability, and statistical methods.

·      Programming Skills: Expert-level coding skills in Python (NumPy, Pandas, Scikit-learn) and experience with languages like Java or C++.

Key Competencies:

• Strategic mindset with deep operational awareness.
• Excellent communication and stakeholder management skills.
• Ability to simplify complex technical concepts for executive reporting.
• Strong leadership, people development, and cross-functional influencing skills.

Bias for action and a relentless focus on continuous improvement.

Job Title: QA Engineer – ETL & HL7 (Data Pipeline QA) Location: Remote – India (UK Working Hours)

Job Type: Full-Time Company: BigRio

About BigRio:

BigRio is a remote-based, technology consulting firm headquartered in Boston, MA. We specialize in delivering advanced software solutions that include custom development, cloud data platforms, AI/ML integrations, and data analytics. With a diverse portfolio of clients

across industries such as healthcare, biotech, fintech, and more, BigRio offers the opportunity to work on cutting-edge projects with a team of top-tier professionals.

Job Description:

We are seeking a highly skilled and detail-oriented QA Engineer with strong experience in ETL testing and HL7 validation to join our growing data engineering team. This role will focus on data pipeline testing, ensuring data accuracy, quality, and integrity as it moves

across systems and services in a healthcare-focused environment.

Key Responsibilities:

·        Design, develop, and execute test plans and test cases for ETL processes and data pipelines.

·        Validate data transformations, data integrity, and completeness across source and target systems.

·        Conduct end-to-end testing of HL7 messages and healthcare data flows.

·        Collaborate with developers, data engineers, and stakeholders to define test strategies and identify issues.

·        Automate QA processes wherever feasible using appropriate scripting and tools.

·        Perform root cause analysis and ensure timely defect resolution.

·        Ensure compliance with data quality standards and healthcare regulations.

Required Qualifications:

·        4+ years of experience in QA with a focus on ETL/data pipeline testing.

·        Hands-on experience with HL7 message formats and healthcare data exchange.

·        Strong understanding of data warehousing concepts, data mapping, and validation techniques.

·        Proficient in writing complex SQL queries for data validation.

·        Experience working with large datasets in a cloud or hybrid environment.

·        Familiarity with QA automation tools is a plus (e.g., PyTest, Selenium, JMeter).

·        Strong communication and documentation skills.

Nice to Have:

·        Experience with cloud data platforms like AWS, Azure, or GCP.

·        Prior experience in the healthcare or life sciences domain.

·        Knowledge of FHIR standards or healthcare interoperability.

Job Description:

We are looking for a highly skilled and motivated QA Automation Engineer with 5 to 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in automated testing and a passion for ensuring the delivery of high-quality software.

Mandatory Skills:

Automation Testing (Selenium + SpecFlow + C# + TestComplete)

Key Responsibilities:

• Develop and maintain automated test scripts for web and mobile applications.
• Design, implement, and execute test cases for functional, regression, and performance testing.
• Collaborate with development teams to ensure that automated tests are integrated into the continuous integration/continuous deployment (CI/CD) pipeline.
• Troubleshoot, debug, and analyze test failures to ensure issues are resolved promptly.
• Ensure that the quality assurance process is well-documented and adhered to throughout the software development life cycle.
• Review product requirements and provide feedback regarding testability, edge cases, and validation techniques.
• Work closely with developers and product managers to understand project goals and contribute to the overall quality strategy.
• Perform manual testing when necessary and ensure comprehensive test coverage.

Required Skills and Qualifications:

• 3 to 5 years of hands-on experience in QA automation, with strong knowledge of test automation frameworks.
• Proficiency in programming languages such as Java, Python, or JavaScript.
• Experience with automation tools like Selenium, Appium, TestNG, or similar.
• Familiarity with CI/CD tools like Jenkins, Bamboo, or GitLab.
• Strong understanding of Agile methodologies.
• Knowledge of performance testing tools like JMeter or LoadRunner is a plus.
• Good problem-solving skills and the ability to troubleshoot and debug test failures.
• Strong communication skills and ability to work in a collaborative team environment.

Preferred Skills:

• Experience with cloud-based testing (AWS, Azure, Google Cloud).
• Knowledge of API testing using tools like Postman or SoapUI.

Ø Candidate should have civil diploma.

Ø Candidate should have 3-4 year experience.

Ø Must have knowledge of security sector.

Ø Manage all site work of Gurgaon location.

Ø Manage the allocation of resources, including labor materials and equipment.

Ø Communicate effectively with clients, contractors and other stakeholders to ensure project expectations .

Ø Maintain accurate records of progress, costs and quality control measures.

Ø Ensure projects are completed on time, within budget, and to the required quality standards.

Ø Must have knowledge of AutoCAD & Drawing.

Ø  Proper handling all site fencing work.

What you need to have:

Experience: 3 to 5 years

Annual CTC: Rupees 7,00,000 to 9,00,000

• Qualification : Graduate
• Vacancies : 5
• Experience : 1 to 2 yrs. as Team Leader in Telecom process Experience
• Interview Process: HR Round -> Ops Round -> Client Round

Responsibility:

• Motivate and inspire team members to perform. Ensure discussions, Pre & Post session, and Provide guidance to the team based on management directions
• Responsible for team Performance, Attrition and shrinkage.
• Prepare Daily reports
• Manage and Handle all the team reports and improve performance on daily basis.
• Excellent Communication and interpersonal Skills
• Assist customers in all their queries

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities
  
  

  Requirements

  • Proven working experience as a Data Analyst or Business Data Analyst
  • https://resources.workable.com/data-scientist-analysis-interview-questions">Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
  • Strong https://resources.workable.com/analytical-skills-interview-questions">analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at queries, report writing and presenting findings
  • BS in Mathematics, Economics, Computer Science, Information Management or Statistics