1593 Mlops Jobs - Page 38

Role & responsibilities As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. Youll help automate and streamline Model development and Model operations. Youll build and maintain tools for deployment, monitoring, and operations. Youll also troubleshoot and resolve issues in development, testing, and production environments. Enable Model tracking, model experimentation, Model automation Develop scalable ML pipelines Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubefl...

Role & responsibilities As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. Youll help automate and streamline Model development and Model operations. Youll build and maintain tools for deployment, monitoring, and operations. Youll also troubleshoot and resolve issues in development, testing, and production environments. Enable Model tracking, model experimentation, Model automation Develop scalable ML pipelines Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubefl...

Role & responsibilities As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. Youll help automate and streamline Model development and Model operations. Youll build and maintain tools for deployment, monitoring, and operations. Youll also troubleshoot and resolve issues in development, testing, and production environments. Enable Model tracking, model experimentation, Model automation Develop scalable ML pipelines Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubefl...

Role & responsibilities As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. Youll help automate and streamline Model development and Model operations. Youll build and maintain tools for deployment, monitoring, and operations. Youll also troubleshoot and resolve issues in development, testing, and production environments. Enable Model tracking, model experimentation, Model automation Develop scalable ML pipelines Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubefl...

Role & responsibilities As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. Youll help automate and streamline Model development and Model operations. Youll build and maintain tools for deployment, monitoring, and operations. Youll also troubleshoot and resolve issues in development, testing, and production environments. Enable Model tracking, model experimentation, Model automation Develop scalable ML pipelines Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubefl...

Role & responsibilities As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. Youll help automate and streamline Model development and Model operations. Youll build and maintain tools for deployment, monitoring, and operations. Youll also troubleshoot and resolve issues in development, testing, and production environments. Enable Model tracking, model experimentation, Model automation Develop scalable ML pipelines Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubefl...

Role & responsibilities As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. Youll help automate and streamline Model development and Model operations. Youll build and maintain tools for deployment, monitoring, and operations. Youll also troubleshoot and resolve issues in development, testing, and production environments. Enable Model tracking, model experimentation, Model automation Develop scalable ML pipelines Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubefl...

Job Title : Data Scientist - AI Integration & Orchestration. Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Es...

Role & responsibilities As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. Youll help automate and streamline Model development and Model operations. Youll build and maintain tools for deployment, monitoring, and operations. Youll also troubleshoot and resolve issues in development, testing, and production environments. Enable Model tracking, model experimentation, Model automation Develop scalable ML pipelines Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubefl...

Solutions Architect / Technical Lead - AI & Automation1 Key Responsibilities Solution Architecture & Development: Design end-to-end solutions using Node.JS (backend) and Vue.JS (frontend) for custom portals and administration interfaces. Integrate Azure AI services , Google OCR , and Azure OCR into client workflows. AI/ML Engineering: Develop and optimize vision-based AI models ( Layout Parsing/LP, Layout Inference/LI, Layout Transformation/LT ) using Python . Implement NLP pipelines for document extraction, classification, and data enrichment. Cloud & Database Management: Architect and optimize MongoDB databases hosted on Azure for scalability, security, and performance. Manage cloud infras...

Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence docum...

Job Title : Data Scientist - AI Integration & Orchestration. Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Es...

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a skilled Platform Engineer to join our Healthcare Automation Engineering team, bringing expertise i...

Python, TensorFlow, PyTorch, and Scikit-learn. Building and deploying ML/DL models, working on NLP, Computer Vision, Predictive Strong programming skills in Python. cloud platforms (AWS/Azure/GCP).

Responsibilities : - Develop and maintain data pipelines using GCP. - Write and optimize queries in BigQuery. - Utilize Python for data processing tasks. - Manage and maintain SQL Server databases. Must-Have Skills : - Experience with Google Cloud Platform (GCP). - Proficiency in BigQuery query writing. - Strong Python programming skills. - Expertise in SQL Server. Good to Have : - Knowledge of MLOps practices. - Experience with Vertex AI. - Background in data science. - Familiarity with any data visualization tool

Job Title : Data Science Lead/Lead GenAI Engineer Location : Noida/ Gurugram/ Pune/ Bengaluru Work mode : Hybrid Contact : 9045052074 Key Responsibilities Technical Leadership Architect multi-LLM systems (e.g., Mixture-of-Experts, LLM routing) for cost-performance optimization. Design GPU/TPU-optimized training pipelines (FSDP, DeepSpeed) for billion-parameter models. Cloud-Native AI Development Build multi-cloud GenAI platforms (Azure OpenAI + GCP Vertex AI + AWS Bedrock) with unified MLOps. Implement enterprise security : VPC peering, private model endpoints, and data residency compliance. Innovation & Strategy Pioneer GenAI use cases : Agentic workflows, AI-driven synthetic data generatio...

Interested please share your CV and below filled details to snidafazli@altimetrik.com Name(as per aadhar card): Number: EmailID: Current CTC: Fixed CTC: Expected CTC: holding any offers: Current Company: Payroll Company: Notice PEriod: Mention exact LWD: Current Location: Preferred Location: Total Experience: Relevant Experience please mention in years below, Python: Git: GenAI: MLops:

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a skilled Platform Engineer to join our Healthcare Automation Engineering team, bringing expertise i...

Job Title : Data Scientist - AI Integration & Orchestration. Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Es...

"Key Responsibilities: Data Pipeline Development Design and implement robust ETL/ELT pipelines using Azure Data Factory and Databricks (PySpark, SQL, Delta Live Tables). Ingest and transform data from diverse sources including APIs, databases, file systems, and third-party platforms. Apply Medallion Architecture principles to organize data into bronze, silver, and gold layers for analytics and ML. Cloud Integration & Optimization Leverage Azure services such as ADLS Gen2, Azure Synapse, Azure Functions, and Event Hub for scalable data solutions. Optimize Spark jobs and data workflows for performance, cost-efficiency, and reliability. Integrate pipelines into CI/CD workflows using Azure DevOp...

MATLAB Developer (Production REST API Experience) Position Overview: We are looking for an experienced MATLAB developer who has hands-on expertise in designing, developing, and deploying MATLAB applications as REST APIs on MATLAB Production Server for real-world production environments. The candidate will be responsible for architecting robust MATLAB-based RESTful services capable of seamless, reliable integration with enterprise and web systems. Key Responsibilities Develop and deploy MATLAB applications as RESTful APIs using MATLAB Production Server, ensuring production-grade reliability, security, and scalability. Design workflows for packaging MATLAB code into deployable archives for web...

As a Subject Matter Expert in ML or LLM Ops at CitiusTech, you will play a crucial role in guiding the organization's MLOps and LLMOps strategy. Your responsibilities will involve providing strategic direction, technical leadership, and overseeing the development of scalable infrastructure and processes aligned with business objectives. You will be at the forefront of innovation by designing and implementing robust pipelines for ML and LLM models, ensuring efficient deployment and continuous optimization. Collaboration with cross-functional teams such as engineering, data science, and product will be essential to seamlessly integrate ML and LLM models into production workflows. Your experien...

As a Software Engineering Manager at Autodesk, you will lead a team of skilled engineers within the Analytics Data Group to develop and maintain a cutting-edge machine learning platform. Your primary responsibility will be to drive the technical strategy, execution, and delivery of scalable AI/ML solutions. This will involve collaborating closely with Product Managers to shape the platform roadmap and ensure alignment with organizational goals. In this role, you will mentor engineers, collaborate with various teams including product management, data science, and cloud infrastructure, and provide technical guidance to drive crucial technology decisions. Your expertise in AI/ML technologies wi...

At Capgemini Invent, we believe that difference drives change. As inventive transformation consultants, we blend our strategic, creative, and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow, informed and validated by science and data, superpowered by creativity and design, all underpinned by technology created with purpose. You act as a contact person for our customers and advise them on data-driven projects. You are responsible for designing viable architectures based on Microsoft Azure, AWS, Snowflake, Google (or similar), and implementing analytics. You ...

You are an experienced and highly skilled Senior AWS Data Engineer with over 8+ years of experience, ready to join our dynamic team. Your deep understanding of data engineering principles, extensive experience with AWS services, and proven track record of designing and implementing scalable data solutions make you the ideal candidate for this role. Your key responsibilities will include designing and implementing robust, scalable, and efficient data pipelines and architectures on AWS. You will develop data models and schemas to support business intelligence and analytics requirements, utilizing AWS services such as S3, Redshift, EMR, Glue, Lambda, and Kinesis to build and optimize data solut...