A minimum of 10-12 years of relevant experience in testing ETL/software products, and machine learning model testing, with at least 3 years of dedicated involvement in data science and ML projects.
Solid understanding of foundational machine learning concepts and algorithms
Expert knowledge and substantial coding experience in Python, R, and machine learning frameworks such as Scikit-learn, TensorFlow, Keras, PyTorch, and similar tools.
Experience in working with DevOps principles and familiarity with industry best practices using CI/CD tools, as well as infrastructure as code (e.g., Docker, Kubernetes, Terraform).
Extensive experience in at least one cloud platform (e.g. AWS, GCP, Azure) and associated machine learning services, e.g. Amazon SageMaker, Azure ML, etc.
Strong SQL skills, including the ability to write and interpret complex SQL queries.
Experience in building extensible, configuration-driven, pluggable, and modular test automation frameworks.
Experience in end-to-end automated test case management, reporting, and bug tracking is an added advantage.
Should be aware of Security compliances and design practice
Adept in performance testing and test optimization
Solid understanding of Test Driven Development (TDD)
Adept in impact analysis, test estimations, and test planning for projects.
Ability to work closely with application development, architecture, and infrastructure teams for automation, performance evaluation, and application analysis initiatives.
Expertise in test management and defect tracking tools like HP Quality Center, and JIRA.
Strong comprehension, analytical, and problem-solving skills.
Familiarity with Agile software development practices.
Strong interpersonal and communication skills, including the ability to explain and discuss machine learning concepts with colleagues and teams.
DESIRED EXPERIENCE, SKILLS & QUALIFICATIONS
Experience in the Healthcare Laboratory domain is a plus.
Demonstrated ability to collaborate effectively with cross-functional teams in a fast-paced and dynamic environment.
Proven track record of conducting root cause analyses on both internal and external data and processes to address specific business inquiries and identify areas for enhancement.
Sound knowledge of REST /SOAP web service, integration, vulnerabilities, and web service security mechanisms
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