Staff Software

7 days ago

Bengaluru, Karnataka, India Jobs for Humanity Full time ₹ 12,00,000 - ₹ 22,00,000 per year
Company Description

Saira's client

Job Description

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).
Qualifications

Bachelors/Masters degree in Computer Science/AI.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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