AI ML Engineer

MaximaTek; Hyderabad; On-site; INR 2,000,000 - 3,000,000; Full time

Benefits offered by this job

Targeted Placement through extensive network

Expert Resume Rebuild

Career Guidance

Job summary

A leading IT consulting firm in Hyderabad is looking for a motivated AI/ML Quality Assurance Engineer with 8+ years of relevant experience. The role involves designing tests for data validation and collaborating with Data Science teams. Ideal candidates hold a Bachelor's or Master's degree in related fields. Knowledge of machine learning concepts, Python, and SQL is required. This full-time position offers targeted placement and career guidance to secure your ideal role.

Qualifications

• 8 years of relevant work experience or dedicated project experience in data validation, model testing, MLOps, or software development.
• Solid understanding of model validation/testing concepts.

Responsibilities

• Designing and executing tests for data validation, model drift, and feature reliability.
• Collaborating with Data Science and MLOps teams to integrate automated testing within CI/CD pipelines.

Skills

Machine Learning Life Cycle (MLLC)

Python

SQL

Data science libraries (e.g., NumPy, Pandas)

Cloud platforms (AWS, Azure, GCP)

MLOps concepts

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence

Tools

Git

JIRA

Selenium

Great Expectations

MLflow

Job description

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 Engineer

We are actively seeking motivated individuals for 8+yrs, 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

Education: Hold a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a similar quantitative discipline (Required).

Experience: Possess 8 years of relevant work experience or dedicated project experience in data validation, model testing, MLOps, or software development.

Technical Skills:

• Solid understanding of the Machine Learning Life Cycle (MLLC) and Model Validation/Testing concepts.
• Proficiency in Python is required, along with popular data science libraries (e.g., NumPy, Pandas).
• Experience with SQL for dataset preparation and validation.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps concepts is highly desirable.

Preferred Skills:

• Knowledge of tools for model testing and validation (e.g., Great Expectations, MLflow) or traditional automation tools (e.g., Selenium, API testing) is a plus.
• Familiarity with version control (Git) and bug tracking tools (e.g., 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: [e-mail]

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• IT Services and IT Consulting