331 Ml Ops Jobs

Role & responsibilities Design and implement AI/ML models for anomaly detection, forecasting, and incident prediction. Develop and optimize MLOps pipelines for scalable, automated model training, validation, deployment, and monitoring. Select and evaluate appropriate algorithms and statistical methods for diverse telecom data sets. Apply best practices for data preprocessing, feature engineering, and model interpretability. Collaborate with software architects and engineering teams to integrate ML models into a cloud-native, microservices-based platform. Contribute to the selection and integration of MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Ensure data quality, governance,...

As a Machine Learning Engineer at MinoriLabs, you will play a crucial role in developing and implementing machine learning algorithms and models for various applications. Your responsibilities will include: - Developing and implementing machine learning algorithms and models. - Conducting exploratory data analysis to uncover patterns and insights. - Designing and developing machine learning pipelines for data ingestion, pre-processing, feature engineering, model training, and evaluation. - Optimizing machine learning models for performance and scalability. - Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions. - Staying up...

Job Title: Vice President / Director - AI Engineering (Enterprise AI Solutions) Location: Gurugram, India. Industry: Global Professional Services & Consulting About the Role: We are on a mission to transform enterprise functions with intelligent automation. We are seeking a visionary AI Engineering Leader to architect, build, and scale our next-generation enterprise AI platform. You will lead the design and deployment of agentic AI systems and AI marketplaces that drive core business processes and create new client-facing products. This is a high-impact role where you will shape the engineering vision, lead global cross-functional squads, and ensure our solutions set the standard for innovat...

About Us: At Molecular Connections, we believe in Connecting brilliant minds, for building the future of scientific intelligence. Founded more than two decades ago, Molecular Connections is the leading AI-ML led data science organization accelerating digital transformation of Scientific Scholarly Publishing, STEM (science, technology, engineering and medical) and pharmaceutical data science/information/analytics domains, globally. Our marquee customer base is spread across US, UK, Europe and other geographies. Headquartered in Bengaluru, our technology and customer delivery centers are based across various tier 1 and tier 2 cities across south India. We are growing strongly both organically ...

Summary Location: Hyderabad We are looking for Head of Artificial Intelligence (AI) Platforms in Data Digital & IT (DD&IT) to oversee the organization's AI/GenAI practice and lead the development, scaling and operations of innovative, re-usable capabilities across business functions. The role plays a key role in supporting business-facing DD&IT teams in building and deploying AI/GenAI solutions on fit for purpose technologies. About The Role Major Accountabilities Define AI/GenAI technology vision & strategy aligned with overall DD&IT and business strategy; work with DD&IT AI leads in business-facing functions to secure sponsorship and develop a joint enterprise roadmap Pro-actively evaluate...

Job Role Required Technical Skill Set 5+ years of hands-on experience as a Data Scientist Good experience with LLMs Hands-on experience in ML/NLP/Deep Learning and Gen AI concepts Good knowledge of Python programming and ML Ops Good understanding of Azure AI Foundry services Should have knowledge of GenAI concepts, theories, and models Desired Skills Artificial Intelligence | NLP | Data scientist | Machine Intelligence Qualifications Bachelor of Technology

Job Role Strong SQL and Python coding skills. Experience with distributed data processing frameworks (e.g., Apache Spark, Dask, Ray) in an enterprise setting. Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or Keras. Proficient in PySpark for Machine Learning. Desired Skills Docker, Machine Learning, Python, MySQL DBA Qualifications Bachelor of Engineering

5+ years of hands-on experience as a Data Scientist Good experience with Large Language Models (LLMs) Hands-on experience with Machine Learning, NLP, Deep Learning, and Generative AI concepts Strong knowledge of Python programming and ML Ops Good understanding of Azure AI Foundry services Knowledge of Generative AI concepts, theories, and models Qualifications Bachelor of Technology

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their busines...

Role Overview: At Uber AI Solutions, we are seeking an exceptional candidate to lead the program delivery portfolio in the domain of AI training and evaluations, focusing on coding/engineering, agentic AI, data analytics, and related fields. This role offers the opportunity to build and scale capabilities for coding and data use cases in AI training, establishing Uber AI Solutions as a leader in the data annotation and AI training marketplace. Key Responsibilities: - Program delivery leadership: - Serve as the overall single point owner of training/evaluation programs for clients, particularly AI labs, in coding, agentic AI, and data areas - Develop delivery solutions based on client require...

Work Flexibility : Hybrid What You Will Do: Design, build, and maintain end-to-end MLOps pipelines for ML model training, testing, and deployment. Collaborate with Data Scientists to productionize ML models in Azure ML and Azure Databricks. Implement CI/CD pipelines for ML workflows using Azure DevOps, GitHub Actions, or Jenkins. Automate infrastructure provisioning using IaC tools (Terraform, ARM templates, or Bicep). Monitor and manage deployed models using Azure Monitor, Application Insights, and MLflow. Implement best practices in model versioning, model registry, experiment tracking, and artifact management. Ensure security, compliance, and cost optimization of ML solutions deployed on ...

5+ years of experience in ML Ops engineering or a related field. Strong proficiency in Python , with experience in machine learning libraries such as TensorFlow , PyTorch , scikit-learn , etc. Extensive experience with ML Ops frameworks like Kubeflow , MLflow , TensorFlow Extended (TFX) , KubeFlow Pipelines , or similar. Strong experience in deploying and managing machine learning models in cloud environments (AWS, GCP, Azure). Proficiency in managing CI/CD pipelines for ML workflows using tools such as Jenkins , GitLab , CircleCI , etc. Hands-on experience with containerization (Docker) and orchestration (Kubernetes) technologies for model deployment. Skills : SageMaker, PySpark, AWS Servic...

We are looking for a Senior Manager-ML Ops to join our Technology team at Clarivate. You will get the opportunity to work in a cross-cultural work environment while working on the latest web technologies with an emphasis on user-centered design. About You (Skills & Experience Required) Bachelors or masters degree in computer science, Engineering, or a related field. Atleast 10 years of experience including DevOps, machine learning operations and data engineering domain Proven experience in managing and leading technical teams. Strong understanding of MLOps practices, tools, and frameworks. Proficiency in data pipelines, data cleaning, and feature engineering is essential for preparing data f...

Role Overview The ML Ops Engineer designs, implements, and maintains robust machine learning operational pipelines for scalable, reliable, and secure model deployment This role bridges data science and engineering, ensuring models transition seamlessly from development to production while meeting performance, compliance, and governance standards Key Responsibilities ML Pipeline AutomationBuild and maintain CI/CD pipelines for ML models using Git, Azure DevOps, or similar tools Automate model packaging, artifact storage, versioning, and deployment Platform Integration Integrate ML platforms (Snowflake, Azure ML, Git-based pipelines) for end-to-end lifecycle support Collaborate with data engin...

Experience deploying machine learning models into production environment. Strong DevOps, Data Engineering and ML background with Cloud platforms Experience in containerization and orchestration (such as Docker, Kubernetes)

Experience deploying machine learning models into production environment. • Strong DevOps, Data Engineering and ML background with Cloud platforms • Experience in containerization and orchestration (such as Docker, Kubernetes)

Experience deploying machine learning models into production environment. • Strong DevOps, Data Engineering and ML background with Cloud platforms • Experience in containerization and orchestration (such as Docker, Kubernetes)

Experience deploying machine learning models into production environment. • Strong DevOps, Data Engineering and ML background with Cloud platforms • Experience in containerization and orchestration (such as Docker, Kubernetes)

Experience deploying machine learning models into production environment. Strong DevOps, Data Engineering and ML background with Cloud platforms Experience in containerization and orchestration (such as Docker, Kubernetes)

Job Description 8+ years of experience in ML Ops engineering or a related field. Strong proficiency in Python , with experience in machine learning libraries such as TensorFlow , PyTorch , scikit-learn , etc. Extensive experience with ML Ops frameworks like Kubeflow , MLflow , TensorFlow Extended (TFX) , KubeFlow Pipelines , or similar. Strong experience in deploying and managing machine learning models in cloud environments (AWS, GCP, Azure). Proficiency in managing CI/CD pipelines for ML workflows using tools such as Jenkins , GitLab , CircleCI , etc. Hands-on experience with containerization (Docker) and orchestration (Kubernetes) technologies for model deployment. Skills : SageMaker, PyS...

Project description We are looking for a hands-on Data Scientist to lead the development of machine learning models and data-driven insights for Digital Oilfield (DOF) systems. This role requires a strong foundation in data science and statistical modeling, with the ability to transform noisy, real-world oilfield data into actionable intelligence for engineering teams.Candidate will work alongside production engineers, software developers, and ML engineers to design, validate, and operationalize predictive and prescriptive analytics that support key decisions in subsurface and surface operations. Oil & gas experience is a strong asset but not mandatory; the ideal candidate brings analytical ...

Experience in designing strategizing enterprise solutions Strong application architecture experience with knowledge in cloud based design and experience in creating IADs and on networking cloud based solutions Azure Cognitive Services Azure ML ADB ADF Knowledge on ML development stack ML Flow ML Ops Kubernetes AKS Experience in design tools like Visio Miro ArchiMate etc Good to have Creating Artificial Intelligence Demonstrations usecases and workshop artefacts Evaluate approaches in Machine Learning Data Mining and Analytics Azure DevOps CICD ADO pipelines ML pipelines Data pipelines PythonR REST based services Excellent analytical problem-solving and communication skills Ability to work co...

Experience in designing strategizing enterprise solutions Strong application architecture experience with knowledge in cloud based design and experience in creating IADs and on networking cloud based solutions Azure Cognitive Services Azure ML ADB ADF Knowledge on ML development stack ML Flow ML Ops Kubernetes AKS Experience in design tools like Visio Miro ArchiMate etc Good to have Creating Artificial Intelligence Demonstrations usecases and workshop artefacts Evaluate approaches in Machine Learning Data Mining and Analytics Azure DevOps CICD ADO pipelines ML pipelines Data pipelines PythonR REST based services Excellent analytical problem-solving and communication skills Ability to work co...

Experience in designing strategizing enterprise solutions Strong application architecture experience with knowledge in cloud based design and experience in creating IADs and on networking cloud based solutions Azure Cognitive Services Azure ML ADB ADF Knowledge on ML development stack ML Flow ML Ops Kubernetes AKS Experience in design tools like Visio Miro ArchiMate etc Good to have Creating Artificial Intelligence Demonstrations usecases and workshop artefacts Evaluate approaches in Machine Learning Data Mining and Analytics Azure DevOps CICD ADO pipelines ML pipelines Data pipelines PythonR REST based services Excellent analytical problem-solving and communication skills Ability to work co...

Experience in designing strategizing enterprise solutions Strong application architecture experience with knowledge in cloud based design and experience in creating IADs and on networking cloud based solutions Azure Cognitive Services Azure ML ADB ADF Knowledge on ML development stack ML Flow ML Ops Kubernetes AKS Experience in design tools like Visio Miro ArchiMate etc Good to have Creating Artificial Intelligence Demonstrations usecases and workshop artefacts Evaluate approaches in Machine Learning Data Mining and Analytics Azure DevOps CICD ADO pipelines ML pipelines Data pipelines PythonR REST based services Excellent analytical problem-solving and communication skills Ability to work co...