MLOps Engineer

MlOps Engineer Experience : 5 to 7 YearsRemote WorkJob Description :Responsibilities :- Responsible for the design and implementation of secure and scalable infrastructure in Azure cloud.- Build and maintain CI/CD/CT pipeline across azure cloud platform for Data science projects.- Own and automate the infrastructure provisioning, demand forecasting and...

Job Description : - Lead MLOps initiatives, collaborating with key stakeholders to strategize, plan, and deliver projects.- Design, develop, and deploy complex AI/ML solutions on cloud infrastructure, ensuring scalability for changing business and technical needs.- Create infrastructure and architecture diagrams for projects.- Project manage, allocate tasks...

Job Description :Qualifications :- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.- Minimum of 3-5 years of experience in DevOps or MLOps.- Strong programming skills in Python.- Familiarity with ML frameworks like TensorFlow, Pandas, or Scikit-learn.- Experience with containerization tools like Docker and...

Role : Senior Machine Learning Operations EngineerLocation : RemoteContract Duration : 6 MonthsJob Description :As a Senior Machine Learning Operations (MLOps) Engineer, you will be instrumental in deploying robust, scalable machine learning solutions. You will ensure these are tailored to meet the expansive needs of a client in healthcare services. This...

Expereince:6+ YearsLocation: RemotePosition: Permanent- Bachelor's Degree in Computer Science, Engineering, Statistics, or related field.- Minimum of 6 years of experience in machine learning or a related field.- Advanced programming skills in Python, C++, or similar.- Extensive experience with TensorFlow, PyTorch, or similar frameworks.- Deep...

As a Senior Machine Learning Operations (MLOps) Engineer, you will be instrumental in deploying robust, scalable machine learning solutions. You will ensure these are tailored to meet the expansive needs of a client in healthcare services. This role demands a high level of proficiency in machine learning technologies and programming, coupled with rigorous...

Job Description :We are looking for Lead ML Ops Engineers with experience on Azure services like Databricks, ML, Dev Ops and who can support Development, Deployment, Model Management and Monitoring for different clients.Desired Skills and Qualifications :- 8+ of experience in understanding AI/ML projects and exposure to supporting the Model execution on...

About you :- Passionate about both Data Engineering and Machine Learning Engineering, you can likewise wear one or the other hat according to what you need to accomplish- Passionate about GenAI an excited to join a Team working on state of the art GenAI topics- Ideate and build data products that drive value for internal and external customers- Write quality...

Responsibilities:- AI voice generator development and training: create a model similar to elevenlabs.- The model should support multi-languages.- It should be cost-efficient.- Machine Learning: Work on machine learning algorithms to improve the AI capabilities of the platform.- AI Model deployment.- AI Model API / SDK creation.- Code Development: Write...

Job Description:Main responsibilities :- Develop and support AI/ML solution using best in-class LLM/DL/ML models and statistical techniques.- Perform code development, Unit testing, System testing, and debugging HPE's applications.- Collaborate with business users, understand requirements, develop design specifications and develop IT solutions for...

AI Architect-Mobilution IT Title: AI Architect-Mobilution IT SystemsExperience Range: 07 - 14 YearsLocation: Start from India Hybrid, In office Oxford, UK (Candidates later need to relocate to Oxford)Note: We are seeking candidates willing to relocate to the UK.Job Summary:We are looking for a hands-on AI Architect to join our AI Tech Team. The ideal...

AI/ML experts with BI- AI enablement with VisualizationLook similar companies Tiger Analytics, Quantiphi Analytics- Solid track record of over-achieving engineering and platform delivery and scaling targets in high volume, innovative and fast-paced high-pressure environment; proven results in delivery on platform product- Working experience in data AI/ML...

Job Title : AI ArchitectExperience Range : 07 - 14 YearsLocation: Start from India Hybrid, In office Oxford, UK (Candidates later need to relocate to Oxford)Note: We are seeking candidates willing to relocate to the UK.Job Summary : We are looking for a hands-on AI Architect to join our AI Tech Team. The ideal candidate will lead the design and development...

Position : Senior Data ScientistExperience : 3+ YearsShift Timings - 12:00 PM - 9PM ISTJob Location : Candidate to be based out of Anywhere in India (This is a remote opportunity)Seeking a highly skilled and motivated Data Scientist with a strong emphasis on Generative AI and Large Language Models (LLM). This role requires a unique blend of technical...

Job Responsibilities :- Define, design, and deliver ML architecture patterns operable in native and hybrid cloud architectures.- Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML model training and deployment in enterprise applications.- Perform research activities to...

MlOps Engineer Experience : 5 to 7 YearsRemote Work Job Description :Responsibilities :- Responsible for the design and implementation of secure and scalable infrastructure in Azure cloud.- Build and maintain CI/CD/CT pipeline across azure cloud platform for Data science projects.- Own and automate the infrastructure provisioning, demand forecasting and...

Job Description : - Lead MLOps initiatives, collaborating with key stakeholders to strategize, plan, and deliver projects.- Design, develop, and deploy complex AI/ML solutions on cloud infrastructure, ensuring scalability for changing business and technical needs.- Create infrastructure and architecture diagrams for projects.- Project manage, allocate tasks...

We are looking for MLOps Consultants. Job Description : - Model Deployment : Deploy machine learning models in production environments on cloud platforms such as Azure and AWS. Work closely with data scientists and software engineers to integrate models into existing systems - Infrastructure Management : Set up and maintain infrastructure for machine...

About us: Intuitive.Cloud is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an "Engineering Company" delivering measurable value and key business outcomes. Intuitive Superpowers: - DataOps & AI/ML - Cloud Native, AppSecOps, DevSecOps - Cloud Migration &...

About us:Intuitive.Cloud is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an "Engineering Company" delivering measurable value and key business outcomes.Intuitive Superpowers:- DataOps & AI/ML- Cloud Native, AppSecOps, DevSecOps- Cloud Migration &...

The team you would join : The Global Analytics and Technology function at Sun King helps us build technology enabled solutions based on data driven insights. We have a team of data scientists, data engineers, analysts, technical architects, android developers, web designers, backend engineers, product managers and UI/UX developers working on developing...

Job Description : Qualifications : - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - Minimum of 3-5 years of experience in DevOps or MLOps. - Strong programming skills in Python. - Familiarity with ML frameworks like TensorFlow, Pandas, or Scikit-learn. - Experience with containerization tools like Docker...

Job Description Unser Mandant ist ein Unternehmen aus dem Bereich der digitalen Versicherung. Mit seinen fast 1000 Mitarbeitern gestaltet es die Versicherungswelt auf Basis von KI neu!Werden Sie jetzt teil der Erfolgsgeschichte und bewerben Sie sich als Senior MLOps Engineer (m/w/d) .Gestaltung und Weiterentwicklung von MLOps -Prozessen im...

Role : Senior Machine Learning Operations EngineerLocation : RemoteContract Duration : 6 MonthsJob Description : As a Senior Machine Learning Operations (MLOps) Engineer, you will be instrumental in deploying robust, scalable machine learning solutions. You will ensure these are tailored to meet the expansive needs of a client in healthcare services. This...

Expereince:6+ YearsLocation: RemotePosition: Permanent- Bachelor's Degree in Computer Science, Engineering, Statistics, or related field.- Minimum of 6 years of experience in machine learning or a related field.- Advanced programming skills in Python, C++, or similar.- Extensive experience with TensorFlow, PyTorch, or similar frameworks.- Deep...

As a Senior Machine Learning Operations (MLOps) Engineer, you will be instrumental in deploying robust, scalable machine learning solutions. You will ensure these are tailored to meet the expansive needs of a client in healthcare services. This role demands a high level of proficiency in machine learning technologies and programming, coupled with rigorous...

Role : Backend Engineer (MLOps/DevOps). Location : Bengaluru (On-site). Experience : 4+ Years. Job Description : .- We are looking for a skilled Backend Engineer with a strong background in MLOps/DevOps to join our team.- The ideal candidate will have at least 4 years of experience in developing web applications using frameworks like Django or FastAPI,...

Description : Velotio Technologies is a product engineering company working with innovative startups and enterprises. We are a certified and recognized as one of the best companies to work for in India. We have provided full-stack product development for 110+ startups across the globe building products in the cloud-native, data engineering, B2B SaaS, IoT &...

Job Description : We are looking for Lead ML Ops Engineers with experience on Azure services like Databricks, ML, Dev Ops and who can support Development, Deployment, Model Management and Monitoring for different clients.Desired Skills and Qualifications : - 8+ of experience in understanding AI/ML projects and exposure to supporting the Model execution on...

Lead Machine Learning Location: Mumbai/ Bangalore ( Hybrid) Seeking a Lead ML Engineer to join our dynamic and innovative Global Data Science team. In this role, you are a critical member of the data science group focused on leading efforts in migrating ML-based solutions from concept to production level operational excellence. You will lead initiatives...

About the Company: This is a Series A funded web3 startup based in Singapore with a team of over 60. Three founders lead the company with experience in successful ventures. They have two products: a fantasy trivia game and a recently launched, pseudonymous social media app. This social media app is designed to be a platform for honest opinions on...

About you : - Passionate about both Data Engineering and Machine Learning Engineering, you can likewise wear one or the other hat according to what you need to accomplish- Passionate about GenAI an excited to join a Team working on state of the art GenAI topics- Ideate and build data products that drive value for internal and external customers- Write...

Responsibilities:- AI voice generator development and training: create a model similar to elevenlabs.- The model should support multi-languages.- It should be cost-efficient.- Machine Learning: Work on machine learning algorithms to improve the AI capabilities of the platform.- AI Model deployment.- AI Model API / SDK creation.- Code Development: Write...

Job Description:Main responsibilities :- Develop and support AI/ML solution using best in-class LLM/DL/ML models and statistical techniques.- Perform code development, Unit testing, System testing, and debugging HPE's applications.- Collaborate with business users, understand requirements, develop design specifications and develop IT solutions for...

Lead ML Engineer (MLOPS) Experience - 08 to 14 Years Work Location - Trivandrum OR Pune Key responsibilities - Enable the successful development and deployment of Machine-Learning applications from conceptualization to production with an emphasis on operations and monitoring. Detect, analyze, address bottlenecks and painpoints along the ML workflow...