1532 Mlops Jobs - Page 13

As an AI Engineering Manager, you will play a crucial role in guiding a team of talented engineers to build innovative and high-performance AI solutions. Your responsibilities will include: - **Team Leadership & Development**: - Lead, mentor, and inspire a team of AI/ML engineers and data scientists. - Conduct regular one-on-ones, performance reviews, and provide continuous feedback to support professional growth. - **Technical Strategy & Vision**: - Develop and execute the technical strategy for AI initiatives, aligning it with company-wide goals. - Define the technology stack, architectural patterns, and best practices for model development, deployment, and monitoring. - **Project & Budget...

In this role, you will be part of the Citi Analytics & Information Management (AIM) team, a global community that objectively connects and analyzes information to create actionable intelligence for business leaders. Your primary responsibility will be to join the AIM Fraud analytics team as a Data Scientist in the Generative AI (Gen AI) team. Your role will involve transforming fraud prevention and operations through the development and deployment of cutting-edge AI solutions that enhance fraud detection, reduce false positives, and optimize operational efficiency. **Key Responsibilities:** - Lead the design and implementation of generative AI use cases, from ideation to production. - Build ...

Job Description: TE Connectivity is transitioning to an AI Center of Excellence (CoE) model to democratize AI/ML for both business and technical users. As the AI/ML Technical Capability Owner, you will play a crucial role in defining technical golden paths, reference architectures, and persona-approved toolsets across AWS and Databricks. Your responsibilities will include connecting enterprise architecture, data science, security, and business units, designing frameworks, enabling scaled adoption, and presenting to various audiences. You will democratize AI/ML for technical users by providing developers with tools, frameworks, guidance, and training to develop AI/ML solutions independently. ...

Responsibilities Develop and maintain CI/CD pipelines for machine learning models. Automate model deployment, monitoring, and scaling processes. Implement and manage version control for code, data, and models. Ensure data quality, security, and compliance throughout the ML lifecycle. Collaborate with data scientists, engineers, and other stakeholders. Optimize infrastructure for ML workloads. Troubleshoot and resolve issues in production ML systems. Implement logging, monitoring, and alerting for ML pipelines. Manage and optimize cloud resources for ML/AI workloads. Facilitate knowledge sharing and best practices across teams. Mentors peer developers on ML Ops and Dev Ops Technical Competenc...

We are looking for a proactive and detail-oriented AI OPS Engineer to support the deployment, monitoring, and maintenance of AI/ML models in production. This role will focus on MLOps practices including model versioning, CI/CD, observability, and performance optimization in cloud and hybrid environments. Role & responsibilities Build and manage CI/CD pipelines for ML models using platforms like MLflow, Kubeflow, or SageMaker. Monitor model performance and health using observability tools and dashboards. Ensure automated retraining, version control, rollback strategies, and audit logging for production models. Support deployment of LLMs, RAG pipelines, and agentic AI systems in scalable, cont...

In the role of a Model Developer at Tiger Analytics, your main focus will be on designing, developing, and implementing various Analytics and Data Science use cases in the Banking & Financial Services Analytics area. You will be working with various clients to create predictive models, validate them, and ensure alignment with the domain context. Additionally, you may have managerial responsibilities to set tasks, perform quality checks, and supervise and mentor analysts. Your role will also involve monitoring and validating model risks and leading a team of Model validators. You will play a crucial part in developing challenger models, ensuring compliance with the model risk monitoring frame...

Role Overview: As a Data Scientist at Amgen, you will be responsible for developing, designing, and deploying AI-enabled forecasting models. Your role will involve applying deep technical expertise to scale forecasting models across R&D, Manufacturing, and Commercial departments to meet critical needs. You will manipulate large datasets, write high-quality code, adapt machine learning models, and move models from development to production. Additionally, you will be expected to distill technical work into understandable outputs for key stakeholders. Key Responsibilities: - Be an integral part of a high-performing team focusing on translating machine learning algorithms into effective forecast...

You have a great opportunity to join a dynamic team in Delhi NCR with 5 to 8 years of experience in the field. As a candidate, you should possess the following required skills: - Proficiency with LangChain, LangGraph, Pydantic, Crew.ai, and MCP. - Strong understanding of LLM architecture, behavior, and evaluation methods. - Hands-on expertise in MLOps, DevOps, and deploying AI/ML workloads at scale. - Experience leading AI projects from prototyping to production. - Strong foundation in prompt engineering, observability, and agent orchestration. In this role, you will be responsible for spearheading the development of advanced agentic workflows and large language model (LLM) systems.,

As a Senior AI Staff Developer, you will be responsible for designing, training, and deploying advanced AI/ML models across various domains such as computer vision, natural language processing, and generative AI. Your expertise in Python and PyTorch/TensorFlow is crucial for this role. Additionally, experience in MLOps, cloud platforms like AWS/GCP, and edge AI optimization will be beneficial. Key Responsibilities: - Build and optimize intelligent models for real-time deployment on AR/VR smart glasses and immersive systems. - Collaborate with hardware, design, and product teams to seamlessly integrate AI into user experiences. - Shape the intelligence, scalability, and impact of next-generat...

As a Senior AI Engineer specializing in Computer Vision and Azure Cloud, you will play a crucial role at INNOFarms.AI, a company dedicated to revolutionizing sustainable farming through cutting-edge AI, Computer Vision, and IoT technologies. Here's why you should consider joining our team: - **Make a Global Impact**: Drive innovation in smart agriculture across markets in SEA, UAE, and the US. - **Build at the Edge of Innovation**: Work on real-time farm intelligence, predictive insights, and autonomous control systems. - **Work Closely with Leadership**: Collaborate with the CTO and core engineering team on strategic, high-impact initiatives. - **Tech for Good**: Develop AI solutions that e...

Overview Senior engineer with deep expertise in designing, automating, and scaling machine learning infrastructure. Provides mentorship to junior engineers and ensures operational excellence. Responsibilities Lead design of scalable MLOps frameworks and automation strategies. Optimize monitoring and alerting systems for drift, accuracy, and latency. Maintain governance and versioning using tools like GitHub Enterprise and JFrog Artifactory. Drive improvements in deployment and retraining processes with technologies like Terraform and ArgoCD. Partner with Big Data and Work Routing teams to ensure system integrations are reliable. Mentor junior team members and lead knowledge transfer sessions...

Overview Proficient MLOps engineer capable of independently managing production model deployments, pipelines, and infrastructure operations. Responsibilities: Deploy and maintain ML models in production using technologies like AWS SageMaker, MLflow, or Kubeflow. Manage pipelines and CI/CD workflows using tools like ArgoCD, Terraform, or similar infrastructure-as-code platforms. Support data workflows and ETL orchestration through technologies like Astronomer or Airflow. Collaborate with data science teams to transition models into production environments. Perform root cause analysis and remediation for incidents. Qualifications: 24 years of experience in MLOps or DevOps. Proficiency with one...

Job Description: Hands On experience with AWS Sagemaker (Training, Deployment and Monitoring) Good scripting skills in Python & Sagemaker Python SDK and solid understanding of Linux Environment Good understanding of ML concepts and Model Lifecycle Experienced in Docker to build and manage containerized Sagemaker Models Hands-On Experience on Terraform with Sage maker along with other AWS Services including writing and maintaining complex modules and state management. Hands-On Experience on building GitLab CI/CD pipeline and integration with DevSecOps tools such as Snitch, SonarQube, Veracode Strong Knowledge on AWS specifically with services like AWS Sagemaker, EC2, ECS, EKS, ECR, Lambda, VP...

We are looking for a Computer Vision Engineer to design and optimize deep learning models, build scalable data pipelines, and deploy production-ready solutions. Key Responsibilities Work with product/engineering teams to design solutions. Explore research papers, datasets, and synthetic data pipelines. Build, train, and evaluate DL/ML models . Identify failure patterns and optimize models for production. Deploy models via APIs and collaborate on MLOps pipelines. Must-Have Skills Strong with image data, CNNs, Python (NumPy, Pandas, OpenCV) . Hands-on with PyTorch / TensorFlow / Keras . Solid in DSA, OOPs, Git, SDLC . Good grasp of Statistics, Linear Algebra, Calculus . Skilled in model evalua...

Responsibilities: * Develop AI/ML models using Python, TensorFlow/PyTorch. * Collaborate with cross-functional teams on data preparation and model deployment. * Design RESTful APIs for data ingestion and output.

As a Machine Learning Engineer at Tecblic, you will be part of a forward-thinking team that specializes in delivering AI-driven solutions to empower businesses in the digital age. Your primary responsibilities will include: - Research and Development: Design, develop, and fine-tune machine learning models across LLM, computer vision, and Agentic AI use cases. - Model Optimization: Fine-tune and optimize pre-trained models for improved performance, scalability, and minimal latency. - Computer Vision: Build and deploy vision models for tasks such as object detection, classification, OCR, and segmentation. - Integration: Collaborate closely with software and product teams to integrate models in...

As an AI/ML Architect at the company, you will play a crucial role in leading enterprise-scale AI and Generative AI initiatives. Your responsibilities will include: - Leading the design, development, and deployment of AI and Generative AI solutions using AWS, Azure, or GCP. - Providing architectural guidance, conducting technical reviews, and ensuring best practices in AI/ML, MLOps, and cloud-native development. - Managing multiple projects end-to-end, defining scope, timelines, budgets, and resources in alignment with business objectives. - Staying ahead of emerging trends in AI, GenAI, and cloud, introducing innovative solutions across the organization. - Mentoring and leading teams of AI ...

You will be responsible for leading the Data & AI Practice at Pratiti, driving innovation and delivering advanced data engineering, analytics, and AI/ML solutions for global clients. Your role will require a combination of hands-on expertise, solution consulting, and team leadership to establish Data & AI capabilities as a key component of digital solutions. Key Responsibilities: - Collaborate with the presales and business development team during the discovery phase and contribute to proposals and RFP responses. - Provide a consultative approach to advise clients on their AI journey, including data strategies, AI/ML-enabled use cases, and data platform adoptions. - Build and mentor a team o...

As an AI Engineer at Innover, you will play a crucial role in building next-generation AI applications leveraging Generative AI and Agentic AI systems. Your primary focus will be designing and developing AI-powered applications using LLMs for various use cases like summarization, Q&A, document parsing, and chatbots. Additionally, you will be responsible for orchestrating agentic workflows, implementing retrieval-augmented generation pipelines, translating business problems into AI workflows, collaborating with clients, deploying production-grade AI solutions, and developing scalable APIs and microservices around AI capabilities. Key Responsibilities: - Design and build GenAI-powered applicat...

As a Senior AI Developer joining our client's team located in Thane (Maharashtra, India), you will be responsible for designing, training, and deploying advanced AI/ML models across various domains such as computer vision, natural language processing, and generative AI. Your expertise in Python and PyTorch/TensorFlow is crucial for this role. Additionally, experience in MLOps, cloud platforms (AWS/GCP), and edge AI optimization will be advantageous. Your primary role will involve building and optimizing intelligent models for real-time deployment on AR/VR smart glasses and immersive systems. Collaboration with hardware, design, and product teams will be essential to seamlessly integrate AI i...

As a ML/Dev Ops Engineer at DHI Consultancy, you will be responsible for: - Having 5 to 10 years of experience in ML Engineering, MLOps, or DevOps roles with a focus on machine learning systems. - Being an immediate joiner, able to start immediately or within a very short notice period. - Demonstrating expert-level proficiency with mlFlow, Seldon, and Kubeflow MLOps tools. - Possessing strong practical experience with Databricks and Tecton (or similar feature stores) for Data & Feature Engineering. - Having deep knowledge of AWS services for computing, storage, networking, and security for Cloud & Infrastructure. - Showing proven ability to build and manage automated pipelines using Jenkins ...

Job Description: You are seeking a highly skilled and experienced AI/ML Platform Engineer to build and manage the end-to-end Machine Learning (ML) and IT operations (AIOps) infrastructure on Google Cloud Platform (GCP). In this role, you will be a key player in bridging the gap between data science and operations, automating the ML lifecycle, and implementing AI-driven solutions to optimize IT and business processes. Key Responsibilities: - Strong hands-on experience on MLOps and AIOps using Google stack - Good knowledge of DevOps and CI/CD - Experience in Modelling and their Deployment - Good knowledge of working with Git - Working knowledge of Google Agentic Framework - Experience working ...

As a skilled DevOps Engineer with strong MLOps expertise, you will be responsible for the following key responsibilities: - Designing, implementing, and maintaining CI/CD pipelines for ML model training, testing, and deployment. - Managing containerization & orchestration using Docker and Kubernetes. - Automating infrastructure provisioning using Terraform/CloudFormation. - Implementing and managing MLOps tools such as Kubeflow, MLflow, Airflow, SageMaker, etc. - Ensuring scalability, reliability, and monitoring of ML/AI production systems. - Working closely with data scientists and ML engineers to operationalize ML models. - Developing automation scripts in Python/Bash to streamline workflo...

Aziro Technologies (formerly MSys Technologies ) is an AI-native product engineering company driving innovation-led tech transformation globally ! We are hiring MLOps Engineers to join us immediately! Exp - 5+ years Location - Bangalore (Hybrid Offer) Notice Period - Immediate to 15 days Job Description About the Role We are seeking a highly motivated Developer with strong expertise in Python, Generative AI platforms, and MLOps tools. The ideal candidate will have hands-on experience in Langserve, Langfuse, Docker, Kubernetes, and Groovy, with the ability to design, deploy, and scale AI-driven applications. This role combines software engineering, AI solutioning, and operational excellence. ...

Aziro Technologies (formerly MSys Technologies ) is an AI-native product engineering company driving innovation-led tech transformation globally ! We are hiring MLOps Engineers to join us immediately! Exp - 5+ years Location - Bangalore (Hybrid Offer) Notice Period - Immediate to 15 days Job Description About the Role We are seeking a highly motivated Developer with strong expertise in Python, Generative AI platforms, and MLOps tools. The ideal candidate will have hands-on experience in Langserve, Langfuse, Docker, Kubernetes, and Groovy, with the ability to design, deploy, and scale AI-driven applications. This role combines software engineering, AI solutioning, and operational excellence. ...