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6 Job openings at Dataviv Media Network
Mlops cloud azure Aws with Kubernetes and fast API

Gurugram, Haryana

0 years

INR 0.35 - 0.5 Lacs P.A.

On-site

Full Time

Job description Job Summary: We are looking for a skilled MLOps Engineer who specializes in deploying and managing machine learning models using cloud-native CI/CD pipelines , FastAPI , and Kubernetes , without Docker . The ideal candidate should be well-versed in scalable model serving, API development, and infrastructure automation on the cloud using native container alternatives or pre-built images. Key Responsibilities: Design, develop, and maintain CI/CD pipelines for ML model training, testing, and deployment on cloud platforms (Azure/AWS/GCP) . Develop REST APIs using FastAPI for model inference and data services. Deploy and orchestrate microservices and ML workloads on Kubernetes clusters (EKS, AKS, GKE, or on-prem K8s). Implement model monitoring, logging, and version control without Docker-based containers. Utilize alternatives such as Singularity, Buildah, or cloud-native container orchestration . Automate deployment pipelines using tools like GitHub Actions, GitLab CI, Jenkins, Azure DevOps , etc. Manage secrets, configurations, and infrastructure using Kubernetes secrets, ConfigMaps, Helm, or Kustomize . Work closely with Data Scientists and Backend Engineers to integrate ML models with APIs and UIs. Optimize performance, scalability, and reliability of ML services in production. Required Skills: Strong experience with Kubernetes (deployment, scaling, Helm/Kustomize) . Deep understanding of CI/CD tools like Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps. Experience with FastAPI for high-performance ML/REST APIs. Proficient in cloud platforms (AWS, GCP, or Azure) for ML pipeline orchestration. Experience with non-Docker containerization or deployment tools (e.g., Singularity , Podman , or OCI-compliant methods ). Strong Python skills and familiarity with ML libraries and model serialization (e.g., Pickle, ONNX, TorchServe). Good understanding of DevOps principles, GitOps, and IaC (Terraform or similar) . Preferred Qualifications: Experience with Kubeflow, MLflow , or similar tools. Familiarity with model monitoring tools like Prometheus, Grafana, or Seldon Core . Understanding of security and compliance in production ML systems. Bachelor's or Master’s degree in Computer Science, Engineering, or related field. Industry Technology, Information and Internet Employment Type Full-time Job Types: Full-time, Permanent Pay: ₹35,000.00 - ₹50,000.00 per month Work Location: In person

Mlops cloud azure Aws with Kubernetes and fast API

Gurgaon

0 years

INR 0.35 - 0.5 Lacs P.A.

On-site

Full Time

Job description Job Summary: We are looking for a skilled MLOps Engineer who specializes in deploying and managing machine learning models using cloud-native CI/CD pipelines , FastAPI , and Kubernetes , without Docker . The ideal candidate should be well-versed in scalable model serving, API development, and infrastructure automation on the cloud using native container alternatives or pre-built images. Key Responsibilities: Design, develop, and maintain CI/CD pipelines for ML model training, testing, and deployment on cloud platforms (Azure/AWS/GCP) . Develop REST APIs using FastAPI for model inference and data services. Deploy and orchestrate microservices and ML workloads on Kubernetes clusters (EKS, AKS, GKE, or on-prem K8s). Implement model monitoring, logging, and version control without Docker-based containers. Utilize alternatives such as Singularity, Buildah, or cloud-native container orchestration . Automate deployment pipelines using tools like GitHub Actions, GitLab CI, Jenkins, Azure DevOps , etc. Manage secrets, configurations, and infrastructure using Kubernetes secrets, ConfigMaps, Helm, or Kustomize . Work closely with Data Scientists and Backend Engineers to integrate ML models with APIs and UIs. Optimize performance, scalability, and reliability of ML services in production. Required Skills: Strong experience with Kubernetes (deployment, scaling, Helm/Kustomize) . Deep understanding of CI/CD tools like Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps. Experience with FastAPI for high-performance ML/REST APIs. Proficient in cloud platforms (AWS, GCP, or Azure) for ML pipeline orchestration. Experience with non-Docker containerization or deployment tools (e.g., Singularity , Podman , or OCI-compliant methods ). Strong Python skills and familiarity with ML libraries and model serialization (e.g., Pickle, ONNX, TorchServe). Good understanding of DevOps principles, GitOps, and IaC (Terraform or similar) . Preferred Qualifications: Experience with Kubeflow, MLflow , or similar tools. Familiarity with model monitoring tools like Prometheus, Grafana, or Seldon Core . Understanding of security and compliance in production ML systems. Bachelor's or Master’s degree in Computer Science, Engineering, or related field. Industry Technology, Information and Internet Employment Type Full-time Job Types: Full-time, Permanent Pay: ₹35,000.00 - ₹50,000.00 per month Work Location: In person

DevOps Engineer mlops kubernetes

Gurgaon

0 years

INR 0.3 - 0.4 Lacs P.A.

On-site

Full Time

Job description Company Description Dataviv Technologies is a cutting-edge Artificial Intelligence research company that is pioneering the world's first accessible and applied Ai lab, transforming AI education across schools, colleges, and universities, as well as research across top labs globally. Role Description This is a full-time on-site role for a Mlops Kubernetes Engineer at Dataviv Technologies located in Gurugram. The Mlops Kubernetes Engineer will be responsible for maintaining, developing, and optimizing Kubernetes clusters, implementing MLOps processes, and ensuring smooth deployment and scaling of AI models in production environments. Qualifications Proficiency in Kubernetes, Docker, and container orchestration Experience with MLOps processes and tools Strong understanding of cloud technologies, such as AWS or GCP Knowledge of CI/CD pipelines and automation tools Experience with monitoring and logging tools like Prometheus and Grafana Bachelor's or Master's degree in Computer Science or related field Excellent problem-solving and analytical skills Strong communication and collaboration abilities Industry Technology, Information and Internet Employment Type Full-time Edit job description Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Work Location: In person Speak with the employer +91 9867786230

ML DL Artificial Intelligence Executive

Gurgaon

0 years

INR 0.3 - 0.4 Lacs P.A.

On-site

Full Time

Job Overview We are seeking a dynamic AI/ML Executive who can lead end-to-end AI/ML projects , manage a small team, and deploy scalable solutions. The ideal candidate will have experience with core ML workflows and MLOps, and a strong grasp of AI functionalities such as Computer Vision, NLP, and Object Detection . Key Responsibilities Design and execute end-to-end AI/ML pipelines for real-world applications. Build and manage models in domains such as: Computer Vision (e.g., image classification, object detection, OCR) Natural Language Processing (NLP) (e.g., text classification, summarization, chatbots) Collaborate with cross-functional teams to translate business needs into technical solutions. Build and maintain REST APIs using FastAPI or similar frameworks. Deploy models using Kubernetes/Docker , with attention to scalability and monitoring. Mentor junior team members and oversee project timelines. Required Skills Strong programming skills in Python Experience with TensorFlow, PyTorch, OpenCV, HuggingFace, spaCy, YOLO , or similar frameworks Hands-on with MLOps tools : MLflow, DVC, or Kubeflow Model deployment using FastAPI , Docker , and Kubernetes Solid understanding of data preprocessing, model training, and evaluation for both structured and unstructured data Familiarity with version control (Git), CI/CD pipelines, and cloud platforms (AWS/GCP preferred) Preferred Qualifications Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related fields Prior experience leading small AI/ML teams or projects Exposure to geospatial AI, satellite imagery, or edge AI (bonus) W. Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Work Location: In person

Video Editor with 3d design grafic

Gurugram, Haryana

0 years

INR 1.2 - 2.4 Lacs P.A.

On-site

Full Time

Job Title: Video Editor with AI, Graphic & 3D Design Skills Job Description: We are seeking a talented and creative Video Editor with a strong understanding of AI-driven design, in addition graphic creation, 3D modeling, and presentation skills. The ideal candidate will be responsible for producing high-quality video content, integrating innovative AI tools, and creating engaging visual materials to support our marketing, branding, and communication goals. Key Responsibilities: Edit and assemble raw footage into polished videos for various platforms Create visually appealing graphics, animations, and effects using AI tools, graphic design software, and 3D modeling Develop 3D visuals and animations to enhance video content and presentation materials Design engaging presentations and slides using Canva, PowerPoint, or similar tools Collaborate with the content and marketing teams to understand project requirements and deliver creative solutions Stay updated with the latest trends in AI-driven design, video editing, and multimedia content creation Manage multiple projects simultaneously while meeting deadlines Requirements: Proven experience as a Video Editor, with a strong portfolio of video projects Knowledge of AI tools related to graphic and video design (e.g., Adobe Sensei, Runway ML, etc.) Proficiency in graphic design software such as Adobe Photoshop, Illustrator, Canva, etc. Experience with 3D design and animation software (e.g., Blender, Cinema 4D, Autodesk Maya) is a plus Excellent skills in PowerPoint and creating compelling presentations Creative mindset with an eye for detail and aesthetics Strong communication and collaboration skills Ability to adapt to new technologies and tools quickly Preferred Qualifications: Degree in Graphic Design, Multimedia Arts, Animation, or related fields Experience with AI-based video editing or graphic design tools Portfolio showcasing diverse multimedia projects Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹20,000.00 per month Work Location: In person

Video Editor with 3d design grafic

Gurgaon

0 years

INR 1.2 - 2.4 Lacs P.A.

On-site

Full Time

Job Title: Video Editor with AI, Graphic & 3D Design Skills Job Description: We are seeking a talented and creative Video Editor with a strong understanding of AI-driven design, in addition graphic creation, 3D modeling, and presentation skills. The ideal candidate will be responsible for producing high-quality video content, integrating innovative AI tools, and creating engaging visual materials to support our marketing, branding, and communication goals. Key Responsibilities: Edit and assemble raw footage into polished videos for various platforms Create visually appealing graphics, animations, and effects using AI tools, graphic design software, and 3D modeling Develop 3D visuals and animations to enhance video content and presentation materials Design engaging presentations and slides using Canva, PowerPoint, or similar tools Collaborate with the content and marketing teams to understand project requirements and deliver creative solutions Stay updated with the latest trends in AI-driven design, video editing, and multimedia content creation Manage multiple projects simultaneously while meeting deadlines Requirements: Proven experience as a Video Editor, with a strong portfolio of video projects Knowledge of AI tools related to graphic and video design (e.g., Adobe Sensei, Runway ML, etc.) Proficiency in graphic design software such as Adobe Photoshop, Illustrator, Canva, etc. Experience with 3D design and animation software (e.g., Blender, Cinema 4D, Autodesk Maya) is a plus Excellent skills in PowerPoint and creating compelling presentations Creative mindset with an eye for detail and aesthetics Strong communication and collaboration skills Ability to adapt to new technologies and tools quickly Preferred Qualifications: Degree in Graphic Design, Multimedia Arts, Animation, or related fields Experience with AI-based video editing or graphic design tools Portfolio showcasing diverse multimedia projects Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹20,000.00 per month Work Location: In person

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