Saira's clientRole:Staff Software & Test EngineerExperience: 5 to 10 yearsSalary: 12 LPA to 22 LPADisability Type: Locomotive disability, Low vision up to 50%, Hard of hearing up to 50%
UDID Card is mandatory
Responsibilities Include, But Not Limited To
- Design and review test automation frameworks for machine learning models and software development.
- Work with ML engineers to make sure that functional & non-functional requirements are addressed.
- Establish and improve metrics collection and reporting.
- Establish test effectiveness and efficiencies throughout the team
- Incorporate research of industry trends and apply best practices in quality engineering practices used in evolving machine learning techniques.
- Work in a collaborative environment and work with technical and non-technical team members equally well.
- Create test plans, test cases and other testing artifacts as necessary to ensure a systematic approach for guaranteeing the quality of our products and services.
- Collect and maintain training and evaluation data based on the created test plans and test cases.
- Integrate new data into existing ML models to track performance improvements.
- Document and report status on manual and automated test cases for functional and non-functional requirements.
- Build and maintain machine learning solution/data pipelines that feed machine learning models.
- Work in a technical team through development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics using machine learning and artificial intelligence.
- Design and optimize data structures in ML solutions & data management systems (Hadoop, Snowflake, and Cloud platforms) to enable AI/ML solutions.
- Build custom software components and analytics applications.
Qualifications & Skills
- Understanding of machine learning techniques, data structures, algorithms, statistics.
- Expertise in developing automation pipelines & frameworks for verification of machine learning models.
- Experience in collecting and maintaining data according to test plans / cases
- Experience setting up automated test systems using continuous build environments (e.g. Jenkins) and ML content management systems (e.g. Supervisory) to build full stack testing workflows.
- Experience in designing scalable and maintainable automated testing solutions for large-scale ML systems.
- Experience in an agile environment and in standard software testing methodology, e.g. integration testing, code reviews, design documentation - Proficiency in English.
- Proven understanding of AI/ML algorithms and data structures.
- Proficiency in Python or other data science languages.
- Experience with data visualization tools and UX/UI design.
- Excellent problem-solving skills and the ability to work independently.
- Strong interpersonal skills and the ability to work in a team environment.
- Proficiency in Python, Typescript, Angular 16, and Google Cloud Platform (GCP).
Bachelors/Masters degree in Computer Science/AI.
All your information will be kept confidential according to EEO guidelines.
