ML Ops Engineer

Job Title : ML Ops EngineerLocation: BengaluruExperience : 7+YearsML Ops EngineerProgramming & Scripting, Data & Feature Engineering, Monitoring & Logging (Prometheus, Grafana), Experiment Tracking & Workflow Orchestration(MLflow, Kubeflow, Weights & Biases), knowledge of Machine Learning Frameworks (TensorFlow, PyTorch, Scikit-learn)Required Skills: MLflow,...

Role & responsibilitiesPrimary skills needed - AI & ML OpsSecondary - Infra OpsTertiary - AWS/AzureExperience and SkillsExperience: 7+ years in data engineering, 3+ years as an MLOps engineer.MLOps Pipelines: Design, develop, and implement using tools like MLflow and Apache Airflow.Cloud Experience: Working experience with AWS and Databricks.Technical...

Job Description ML Ops Engineer (2–3 Years Experience)Position OverviewWe are looking for a passionate and skilled ML Ops Engineer with 2–3 years of experience to join our AI initiatives and services team. The ideal candidate will not only be strong in operationalizing machine learning workflows but also have hands-on exposure or working knowledge in...

Seeking MLOps Engineer Contractor with 7+ yrs exp in ML pipelines, CI/CD, dashboards. Skilled in Spark, PyTorch, TensorFlow, model ops, data pipelines & quality monitoring. Strong problem-solving & global team skills.

Role: Manager / Sr Manager ML Ops EngineerLocation: Gurugram / Noida / Bengaluru / Hyderabad / PuneJob Responsibilities: Axtria is a global provider of cloud software and data analytics to the life sciences industry. We help life sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for...

Role Brief:We are seeking a skilled ML Ops Engineer to design, implement, and maintain scalable machine learning and large language model (LLM) pipelines in cloud environments, primarily using AWS services. This role is critical to ensuring the reliability, efficiency, and performance of ML systems in production.The ideal candidate will have hands-on...

Role Brief:We are seeking a skilled ML Ops Engineer to design, implement, and maintain scalable machine learning and large language model (LLM) pipelines in cloud environments, primarily using AWS services. This role is critical to ensuring the reliability, efficiency, and performance of ML systems in production.The ideal candidate will have hands-on...

Position:- ML Ops EngineerExperience:- 6+ yearsLocation:- BangaloreRequired Skills: ● Demonstrated ability in designing, building, refactoring and releasing software written in Python. ● Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Triton. ● Ability to handle framework-related issues, version upgrades, and compatibility with data...

Key ResponsibilitiesDevelop, deploy, and maintain ML services using Langserve for efficient model serving.Monitor model performance and manage observability using Langfuse.Containerize applications and services using Docker for consistent development and production environments.Orchestrate and manage containerized workloads using Kubernetes (EKS/GKE/AKS or...

SummaryGainwell is seekingLLM Ops Engineers and ML Ops Engineersto join our growing AI/ML team. This role is responsible for developing, deploying, and maintaining scalable infrastructure and pipelines for Machine Learning (ML) models and Large Language Models (LLMs). You will play a critical role in ensuring smooth model lifecycle management, performance...