Role: Staff Software & Test Engineer
Experience: 5 to 10 years
Salary: 12 LPA to 22 LPA
Disability 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.
