AI Engineer - Machine Learning

Are you ready to transform ideas into impact using data and human ingenuity? ZS Associates is officially hiring for the AI Engineer - Machine Learning position within its Max.AI engineering team in Bengaluru. This ZS Associates Recruitment 2026 drive is a premier opportunity for ML professionals with 1-3 years of experience to build and scale life-changing solutions. Join a global collective of thinkers and experts focused on improving healthcare outcomes through cutting-edge ML Engineering platforms. About ZS Associates ZS is a management consulting and technology firm dedicated to improving life and how we live it. We bring together science, technology, and human ingenuity to deliver better outcomes for patients, caregivers, and consumers worldwide. Our Max.AI platform is at the forefront of this mission, enabling ZSers to develop custom solutions that create value across critical business areas. At ZS, we value a client-first mentality, intense work ethic, and a collaborative spirit that drives meaningful change. Job Overview Table Category| Details ---|--- **Role**| AI Engineer - Machine Learning **Location**| Bengaluru, India **Experience**| 1 - 3 Years in ML Development **Qualification**| B.E / B.Tech / M.E / M.Tech in CS or related **Job ID**| 32712 Job Description & Responsibilities As an AI Engineer at ZS, you will build and refine ML Engineering platforms and components, ensuring they can scale to massive datasets while meeting strict SLAs. You will be responsible for orchestrating end-to-end model pipelines, including feature engineering, inferencing, and continuous model training. A critical part of your role involves implementing MLOps practices, such as tracking model KPIs, monitoring model drift, and establishing feedback loops using tools like MLFlow. You will write production-ready, testable code that accounts for edge cases and errors. Collaborating with client-facing teams, you will gather technical requirements and translate them into high-performance ML models. Working in an Agile Scrum environment, you will use version control and bug tracking tools to deliver high-quality code. Additionally, you will conduct proof-of-concepts (PoCs) to research latest architecture patterns, ensuring ZS remains a leader in technology-enabled consulting. Key Responsibilities Build and scale ML algorithms to work on massive data sets and strict SLAs. Orchestrate model pipelines using Airflow for feature engineering and inferencing. Implement MLOps for model drift tracking and performance measurement via MLFlow. Write production-ready Python or PySpark/Scala code with robust unit testing. Follow architecture guidelines and participate in periodic design/code reviews. Deploy and manage ML models on cloud services like AWS, Azure, or GCP. Utilize distributed computing frameworks like Spark for high-performance tasks. Communicate work progress and dependencies effectively during Scrum ceremonies. Skills & Eligibility Education: Degree from a top university in Computer Science or a related field. ML Fundamentals: Solid understanding of ML algorithms and model scalability. Programming: Expert proficiency in Python and PySpark/Scala. MLOps & Platforms: Experience with MLFlow, SageMaker, or Kubeflow. Data Engineering: High expertise in SQL and distributed computing (Spark). Orchestration: Experience with pipeline tools such as Airflow. Soft Skills: Strong problem-solving approach and fluency in English. Attributes: Bold ideas, curiosity for learning, and a collaborative spirit. How to Apply for ZS Associates Recruitment 2026? Interested candidates can apply through the official ZS Careers portal by searching for Job ID 32712. The selection process typically includes an online aptitude and technical assessment (Machine Learning & Python coding), followed by multiple technical interview rounds focused on system design for ML and MLOps case studies. Successful candidates will also undergo a behavioral interview to assess culture fit. Click the button below to submit your application. Frequently Asked Questions (FAQ) 1. What is the Max.AI team at ZS? Max.AI is ZS's specialized engineering unit that builds AI/ML products and platforms to deliver high-impact healthcare and technology solutions. 2. Does ZS require specific experience in MLOps? Yes, the role specifically asks for experience in implementing MLOps for model drift tracking and performance measurement. 3. Which cloud services are preferred for this role? Experience with AWS, Azure, or GCP, specifically using platforms like SageMaker or Azure ML, is highly valued. 4. What is the experience range for this position? ZS is looking for candidates with 1 to 3 years of hands-on experience in machine learning development.