Job Opening For Agentic AIOps/MLOps Lead - Internal Project

Vee Healthtek · Bangalore

Source and collection record

Last observed by our collector: 9 October 2026 at 12:32 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 341

Job type and experience labels are automated discovery categories. The employer determines eligibility. Retained employer experience wording: 8 years.

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Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.

Retained employer experience wording: 8 yearsAttendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 3 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

Internal Project Service, Databricks). Experience with MLOps tools ( MLflow, Tecton, Pinecone, Feature Stores)Experience with AIOps or related fields like IT automation or incident management. Experience building and operating large-scale distributed systems using Amazon Web Services/Azure (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking). Experience with using Open AI LLMs.Core Competencies: Machine Learning, Artificial Intelligence, Predictive Analytics, Prescriptive Analytics, Model Training, Algorithm Implementation, Data Science, Deep Learning, Natural Language Processing, Computer Vision Tools & Technologies: Tensor Flow, Py Torch, scikit-learn, Keras, Apache Spark MLlib, H2O.ai, AWS Sage Maker, Azure Machine Learning, Google AI Platform, Jupyter Notebooks, Data Management: Data Preprocessing, Feature Engineering, Data Transformation, Data Wrangling, Data Visualization, ETL Processes Programming Languages: Python, R, SQL, Java, Scala, C++ Deployment & Integration: Model Deployment, RESTful APIs, Docker, Kubernetes, CI/CD Pipelines, Cloud Services Integration Methodologies: Supervised Learning, Unsupervised Learning, Reinforcement Learning, Ensemble Methods, Transfer Learning, Hyperparameter Tuning Optimization & Performance: Model Optimization, A/B Testing, Scalability, Performance Tuning, Distributed Computing Soft Skills: Problem Solving, Critical Thinking, Collaboration, Communication, Continuous Learning Apply Contact Information Prabhakaran Subramanian - 95664 37666 prabhakaran.su@veehealthtek.com Careers If you're a new user, click register to apply Register If you're an existing user, click login to apply Login Cancel Vee Healthtek’s Assessment Partner Download App Disclaimer - Vee Healthtek Pvt. Ltd. offers training, professional development, and fellowship opportunities to all selected candidates and employees, and maintains a zero-tolerance policy against unlawful discrimination, in all of its activities and operations. Selection for employment is purely based on merit and the candidate's ability to perform the expected duties. Life @ Vee Corporate Values & Culture Benefits & Growth Social Responsibilities Current-Openings Walk-In Virtual Walk-In Gallery Get in Touch Copyright Vee Healthtek, Inc. © All Rights Reserved. Terms Privacy

Collected experience requirement

8 to 12 years