1524 Mlops Jobs - Page 7

Advanced proficiency in Python. • Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques • Experience with big data processing using Spark for large-scale data analytics • Version control and experiment tracking using Git and MLflow • Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. • DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. • LLM...

A Developer will design, develop, train, and implement machine learning and deep learning models capable of processing large datasets and generating actionable insights. • Technical Expertise : Strong Programming skills in Python or Scala. Deep knowledge of AI technologies like machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn(e.g., APIs, microservices, event-driven IT,MLflow) . Extensive experience writing production-ready code, hands-on experience with different programming paradigms and (MLOps and DevSecOps) . Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git. Hands on Experinece : Hands-on ...

As someone with 10 to 18 years of relevant experience in Data Science, your role will involve modeling and data processing using Scala Spark/PySpark. Your expertise in Python for data science purposes will be crucial. Additionally, you will work on data science concepts, model building using sklearn/PyTorch, and Graph Analytics using networkX, Neo4j, or similar graph databases. Experience in model deployment and monitoring (MLOps) is also desirable. - Modeling and data processing using Scala Spark/PySpark - Utilizing expert level knowledge of Python for data science purposes - Working on data science concepts and model building using sklearn/PyTorch - Conducting Graph Analytics using network...

Principal AI Engineer - J49724 Experience working in agile, cross-functional teams and delivering measurable impact. Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 8+ years of experience architecting and deploying enterprise-scale AI/ML platforms, including GenAI, LLMs, agentic architectures, and MLOps/LLMOps. Proven expertise in designing, implementing, and scaling AI infrastructure using Databricks, Azure AI, Snowflake, Spark, Airflow, and related technologies. Hands-on experience with production-grade model selection, fine-tuning, evaluation, and responsible AI governance. Strong programming skills in Python, PySpark, SQL, a...

J ob Title: ML Ops Engineer Location: Bangalore Experience: 38 Years Employment Type: Full-time About the Role We are looking for a skilled ML Ops Engineer to design, build, and optimize scalable machine learning (ML) infrastructure and pipelines. You will collaborate with data scientists, ML engineers, and DevOps teams to operationalize ML models for production at scale. Key Responsibilities • Design, deploy, and maintain end-to-end ML pipelines for training, testing, and deploying models in production. • Automate model versioning, CI/CD, and monitoring using modern MLOps frameworks. • Implement data version control, model registry , and automated retraining workflows. • Monitor model perfo...

5 years of experience in MLOps and building ML pipelines Deep understanding of the MLOps lifecycle and automation of ML workflows Proficient in Python 310 and related libraries such as pandas NumPy and TensorFlow

5 years of experience in MLOps and building ML pipelines Deep understanding of the MLOps lifecycle and automation of ML workflows Proficient in Python 310 and related libraries such as pandas NumPy and TensorFlow

Key Responsibilities Develop, deploy, and maintain ML services using Langserve for efficient model serving. Monitor model performance and manage observability using Langfuse . Containerize applications and services using Docker for consistent development and production environments. Orchestrate and manage containerized workloads using Kubernetes (EKS/GKE/AKS or self-managed). Write and maintain Groovy scripts for automation and CI/CD pipelines. Collaborate with data scientists, backend engineers, and DevOps teams to ensure smooth ML model delivery. Optimize infrastructure cost, reliability, and scalability for ML workflows. Implement monitoring, alerting, and logging best practices. Required...

Design, develop, and maintain scalable Python apps; collaborate across teams; deploy on AWS/Azure/GCP; follow Agile SDLC; manage DevOps workflows with Jenkins, Git, Docker; integrate ML/LLM; write clean code; troubleshoot; 5+ yrs experience required.

Key Skills - MLOps , LLMOps , CI/CD for ML , Fast API , Teraform , Azure , AWS , Python, DevOps Engineer. Demonstrated ability in designing, building, refactoring and releasing software written in Python. Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Triton. Ability to handle framework-related issues, version upgrades, and compatibility with data processing / model training environments. Experience with AI/ML model training and inferencing platforms is a big plus. Experience with the LLM fine tuning system is a big plus. Debugging and triaging skills. Cloud technologies like Kubernetes, Docker and Linux fundamentals. Familiar with DevOps practices and continuous testing...

Role & responsibilities Shall be from product based organisation. Bachelors or Masters degree in Computer Science, Software Engineering or equivalent. 8+ years of experience in enterprise architecture and platform design. Expert knowledge of cloud platforms (AWS, Azure, GCP). Strong background in containerization and orchestration (Kubernetes). Experience with AI/ML platform integration , MLOps , and GitOps . Deep understanding of security architecture and zero-trust principles . Proficiency in infrastructure-as-code tools (Terraform, Ansible).Design and implement cloud-native platform architectures integrating AI/ML capabilities. Lead technical strategy development for enterprise-wide platf...

Role Overview: As part of the team, you will be responsible for designing and developing a modular, scalable AI platform to serve foundation models and RAG-based applications. Your role will involve building pipelines for embedding generation, document chunking, and indexing. Additionally, you will develop integrations with vector databases like Pinecone, Weaviate, Chroma, or FAISS, and orchestrate LLM flows using tools like LangChain, LlamaIndex, and OpenAI APIs. Implementing RAG architectures to combine generative models with structured and unstructured knowledge sources will also be a key part of your responsibilities. You will create robust APIs and developer tools for easy adoption of A...

As an End-to-End Architect, your role involves architecting distributed, event-driven, and microservices-based systems similar to public cloud platforms. You will leverage containers, Kubernetes, and hybrid virtualization environments (Hypervisor, OpenStack) in the design process. Key Responsibilities: - Evaluate and recommend the right mix of tools, frameworks, and design patterns for each project, considering performance, cost, scalability, and maintainability. - Define infrastructure as code (IaC) strategies and integrate DevOps, AIOps, and MLOps practices into system delivery pipelines. This includes using tools like GitLab, Jira, and cloud-native CI/CD workflows. - Design secure, high-p...

Role Overview: As an AI/ML Engineer specializing in Generative AI and Large Language Models (LLMs), your primary responsibility will be to design and implement advanced AI models. You will focus on developing algorithms for text, image, and video generation, ensuring adherence to ethical AI practices. Collaboration with cross-functional teams and staying abreast of the latest AI and ML advancements will also be key aspects of your role. Furthermore, you will play a crucial role in mentoring junior developers, providing technical leadership, and effectively integrating AI solutions into products. Key Responsibilities: - Design and implement AI models, with a specific emphasis on large languag...

As a Senior Machine Learning Engineer at our company, your role will involve designing, developing, testing, deploying, and maintaining scalable, secure software for batch and real-time ML pipelines. You will optimize pipelines to be distributed, parallel, and/or multithreaded and collaborate with cross-functional teams to troubleshoot and optimize data pipelines. Demonstrating subject matter expertise and ownership for your team's services will be essential. Additionally, you will present results to stakeholders and executives, collaborate with Data Science, Big Data, and DevOps teams, and elevate team performance through mentoring, training, code reviews, and unit testing. You will also ta...

As a Lead Engineer specializing in AI/ML at our company, you will play a crucial role in enhancing the current platform with AI/ML capabilities for Big data. Your key responsibilities will include: - Solutioning for the identified use cases to effectively implement AI/ML capabilities - Collaboration with the larger AI/ML stream across the data organization to ensure seamless integration - Utilizing your in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications - Contributing to the formulation of strategies for applications development and other functional areas - Developing comprehensive knowledge of how areas...

You will play a crucial role in the design and development of Python-based software components for AI-driven systems. Your responsibilities include: - Defining and maintaining coding standards, best practices, and architectural principles such as OOP, SOLID, and design patterns. - Collaborating with AI/ML engineers to integrate and productionize Machine Learning, Deep Learning, and Generative AI models. - Architecting and developing scalable RESTful APIs and backend systems using FastAPI or equivalent frameworks. - Advocating for performance optimization, testability, and non-functional requirements (NFRs) across all solutions. - Championing CI/CD practices, observability, and maintaining sy...

In this role at C2FO, you will be a part of the MLOps team as a Senior Engineer, where you will be responsible for designing, developing, and maintaining scalable and reliable machine learning operations (MLOps) pipelines and infrastructure. Your collaboration with data scientists, software engineers, and stakeholders will be crucial for the successful deployment and monitoring of machine learning models in production environments. **Responsibilities:** - Design and implement robust MLOps pipelines for model training, evaluation, deployment, and monitoring using industry-standard tools and frameworks. - Collaborate with data scientists to streamline the model development process and ensure s...

Position Summary The Principal Azure Agentic AI Engineer is responsible for architecting and deploying agentic AI solutions using Microsofts Azure ecosystem, including Azure AI Foundry, Semantic Kernel, and the Azure OpenAI Service. This role builds intelligent, context-aware agents that integrate across enterprise systems, enabling reasoning, orchestration, and automation at scale. The ideal candidate combines deep technical expertise in Azure AI infrastructure with a strong understanding of multi-agent orchestration, contextual retrieval, and Copilot-style integrations for enterprise productivity and decision support. Key Responsibilities Architect multi-agent AI systems leveraging Azure O...

Key Responsibilities Design and develop end-to-end features across the React front-end and Java/Spring Boot or Node.js back-end microservices. Build rich model monitoring dashboards that visualize latency, throughput, drift, accuracy, and model health metrics using React, TypeScript, and charting libraries (D3.js, Recharts, Plotly). Collaborate with the MLOps team to integrate Seldon APIs for model deployment, inference routing, version control, and real-time feedback loops. Build secure, scalable REST/gRPC APIs for managing model metadata, performance telemetry, and inference results. Implement automated testing and CI/CD workflows to ensure safe, frequent deployments. Integrate with Promet...

Role : Data Engineer / Analytics Engineer Experience : 6-9 Years Location : Hyderabad/Pune About the Role We are hiring a Data Engineer to build and maintain scalable data pipelines, clean and validate datasets, and collaborate with business teams to deliver actionable insights. The ideal candidate will have hands-on experience with Python, SQL, and cloud-based data engineering tools. Key Responsibilities Design and develop ETL/ELT pipelines using Python and SQL Write scripts to detect and fix data anomalies, duplicates, and missing values Collaborate with analysts and stakeholders to understand data needs Modernize legacy systems and align with enterprise standards Work with AWS services li...

Minimum Years of Experience: 12+ Years Key Responsibilities Provide technical leadership and strategic direction for the AI team. Lead and mentor data engineers, MLOps engineers, and ML engineers. Contribute to AI/ML architecture design and implementation. Collaborate with business, engineering, infrastructure, and data science teams to deliver production-grade ML models. Act as the primary point of contact, ensuring clear communication and alignment with goals. Guide teams in selecting optimal ML models based on use cases. Manage day-to-day operations while ensuring adherence to scope, quality, and timelines. Identify risks, develop contingency plans, and ensure stakeholder alignment. Stay ...

Minimum Years of Experience: 15+ Years Key Responsibilities & Required Qualifications Candidate should be ready to work from the client place (Hyderabad)On site Masters degree in Artificial Intelligence, Computer Science, or related field (PhD preferred). 12+ years in AI/ML architecture, cloud infrastructure design, and full lifecycle solution delivery. Proven track record designing and deploying scalable, production-grade AI systems on AWS, Azure, and GCP. Strong expertise in ML model development, fine-tuning, and deployment with TensorFlow, PyTorch, Hugging Face, and LangChain. Deep hands-on experience with NLP, LLMs, RAG pipelines, and generative AI applications. Lead architectural decisi...

Job Title: Senior Staff Engineer MLOps Location: Bangalore, India Work Type: Hybrid (part remote, part onsite) Experience: 11-15 years Employment Type: Full-time Role Overview We are looking for a Senior Staff Engineer MLOps to design, build, and maintain end-to-end ML pipelines. You will work with Data Scientists, Data Engineers, and DevOps teams to productionize ML models and ensure they run efficiently, securely, and reliably in Azure cloud environments. Key Responsibilities Build and maintain ML pipelines for data preprocessing, model training, testing, and deployment. Collaborate with Data Scientists to productionize ML models in Azure ML and Databricks. Implement CI/CD pipelines for ML...

As an Expert AI/ML Product Lead, you play a crucial role in driving the end-to-end development of the Autonomous ML Engineer product. Your responsibilities include leading the development of AI products, focusing on Generative AI and agent-based systems. Additionally, you will be responsible for enterprise-grade product development to ensure the AI/ML platform meets strict enterprise requirements for security, compliance, scalability, and reliability. Key Responsibilities: - Lead the development of AI products with a specific focus on Generative AI and agent-based systems. - Ensure enterprise-grade product development to meet stringent enterprise needs for security, compliance, scalability, ...