MaximaTek
Talent Acquisition Expert Driving IT Recruitment
About the Company
Maxima Tek partners with top-tier companies to connect exceptional recent graduates and experienced professionals (0‑5 years) with high-impact, full-time roles. We specialize in placing talent where it can truly thrive, with a strong focus on cutting‑edge Software Quality Assurance, Test Automation, and Performance Engineering. Our expertise and network help us place candidates in environments where they can excel and develop their careers.
About the Role: AI/ML Quality Assurance Engineer We are actively seeking motivated individuals for Entry‑Level and Mid‑Level full‑time AI/ML Quality Assurance Engineer positions. These cutting‑edge roles focus on ensuring the reliability, fairness, and performance of machine learning models and the pipelines that deploy them.
Responsibilities Designing and executing tests for data validation, model drift, and feature reliability, as well as collaborating with Data Science and MLOps teams to integrate automated testing within CI/CD pipelines.
Qualifications
Hold a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a similar quantitative discipline (Required).
Possess 0‑5 years of relevant work experience or dedicated project experience in data validation, model testing, MLOps, or software development (Required).
Technical Skills
Solid understanding of the Machine Learning Life Cycle (MLLC) and Model Validation/Testing concepts.
Proficiency in Python with popular data science libraries (NumPy, Pandas).
Experience with SQL for dataset preparation and validation.
Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps concepts is highly desirable.
Preferred Skills
Knowledge of tools for model testing and validation (Great Expectations, MLflow) or traditional automation tools (Selenium, API testing).
Familiarity with version control (Git) and bug tracking tools (JIRA).
Knowledge of concepts like model drift, bias, and fairness testing.
What We Offer Targeted Placement: Direct, high‑volume marketing of your profile to our extensive network of hiring managers specializing in Enterprise IT, Data Science, and AI/ML QA/Testing sectors.
Expert Resume Rebuild: Personalized refinement of your resume to make it competitive and optimized for the AI/ML Quality Assurance market.
Career Guidance: Dedicated support and guidance to help you navigate the interview process and secure your ideal role.
Ready to Take the Next Step? Email your updated resume to: shrutika@maximatek.com
Referrals increase your chances of interviewing at MaximaTek by 2x.
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Maxima Tek partners with top-tier companies to connect exceptional recent graduates and experienced professionals (0‑5 years) with high-impact, full-time roles. We specialize in placing talent where it can truly thrive, with a strong focus on cutting‑edge Software Quality Assurance, Test Automation, and Performance Engineering. Our expertise and network help us place candidates in environments where they can excel and develop their careers.
About the Role: AI/ML Quality Assurance Engineer We are actively seeking motivated individuals for Entry‑Level and Mid‑Level full‑time AI/ML Quality Assurance Engineer positions. These cutting‑edge roles focus on ensuring the reliability, fairness, and performance of machine learning models and the pipelines that deploy them.
Responsibilities Designing and executing tests for data validation, model drift, and feature reliability, as well as collaborating with Data Science and MLOps teams to integrate automated testing within CI/CD pipelines.
Qualifications
Hold a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a similar quantitative discipline (Required).
Possess 0‑5 years of relevant work experience or dedicated project experience in data validation, model testing, MLOps, or software development (Required).
Technical Skills
Solid understanding of the Machine Learning Life Cycle (MLLC) and Model Validation/Testing concepts.
Proficiency in Python with popular data science libraries (NumPy, Pandas).
Experience with SQL for dataset preparation and validation.
Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps concepts is highly desirable.
Preferred Skills
Knowledge of tools for model testing and validation (Great Expectations, MLflow) or traditional automation tools (Selenium, API testing).
Familiarity with version control (Git) and bug tracking tools (JIRA).
Knowledge of concepts like model drift, bias, and fairness testing.
What We Offer Targeted Placement: Direct, high‑volume marketing of your profile to our extensive network of hiring managers specializing in Enterprise IT, Data Science, and AI/ML QA/Testing sectors.
Expert Resume Rebuild: Personalized refinement of your resume to make it competitive and optimized for the AI/ML Quality Assurance market.
Career Guidance: Dedicated support and guidance to help you navigate the interview process and secure your ideal role.
Ready to Take the Next Step? Email your updated resume to: shrutika@maximatek.com
Referrals increase your chances of interviewing at MaximaTek by 2x.
#J-18808-Ljbffr