1560 Mlops Jobs - Page 24

Role Overview: You are a seasoned AI / GenAI Solution Architect with 15+ years of total experience, including 5+ years of relevant expertise in AI/ML, Data Science, and GenAI architectures. Your role involves technical architecture design, Hyperscaler solutions (Azure, GCP, AWS), and end-to-end delivery of AI-driven platforms and agentic solutions. You will be responsible for solution architecture & design, proposal creation, estimations, and client engagement across large-scale AI transformation programs. Key Responsibilities: - Architect and deliver GenAI, LLM, and agentic AI solutions - Excellent understanding of Agentic Frameworks, MLOps, LLMOps - Design enterprise-level scalable AI-read...

As a Senior Backend Developer at our company, you will play a crucial role in refining the system architecture, ensuring seamless integration of various tech stacks, and enhancing the DevOps process. Your understanding of software paradigms and ability to design solutions for ML, MLOps, and LLMOps challenges will be key in leading your team towards successful project implementation. You will have the opportunity to work with a wide range of modern technologies and contribute to building an enterprise-grade ML platform. Responsibilities: - Act as a bridge between engineering and product teams, designing a scalable system that aligns with long-term product roadmaps. - Translate product insight...

Role Overview: You are sought after to be a skilled Tech Lead - AI at Carelon Global Solutions India. In this role, you will be responsible for overseeing the strategic planning, supervision, and management of AI technology initiatives within the lab environment. Your duties will include leading a team, managing the lifecycle of ideas, and diagnosing problems to ensure the successful development and implementation of innovative solutions. Additionally, you will be tasked with storytelling, document preparation, and content creation to ensure clear communication and alignment with technical language and goals. Key Responsibilities: - Shape the lab's AI agenda in line with emerging trends and ...

Job Title: AI/ML Engineer Experience: 4 To 8 Years Location: Bangalore Key Responsibilities Design, build, and optimize AI/ML solutions for enterprise applications. Develop Generative AI applications with workflows such as RAG Build and deploy AI agents using frameworks like LangGraph, Crew, or PydanticAI . Implement LLM integration and optimize Prompt Engineering workflows (Eg ., GPT, Claude, LLaMA). Collaborate with cross-functional teams to integrate AI solutions into production systems. Utilize Databricks, REST APIs, WebSockets, and event-driven architectures for scalable deployments. Ensure adherence to SDLC best practices, CI/CD pipelines (Jenkins), and Git-based workflows. Leverage AI...

• 8-10 years of experience in AI/ML development, with strong focus on OCR, Image-to-Text, and prompt engineering. • Proficient in Python and ML frameworks • Deep understanding of data annotation, tagging, and dataset . •

Mandatory Skills : Gen AI, LLM, ML/DL/NLP, RAG, Lang chain, Mistral, Llama, Hugging Face, Python, Tensorflow, Pytorch, Django, Vector DB, Preferred Skills : GCP/Azure/AWS, Databricks, MLOps (tools like Kubeflow/ Mlflow) , Kubernetes, GitHub/Bitbucket, ADO, GPT-4 JD: Strong understanding of machine learning and deep learning principles and algorithms. Experience in developing and implementing generative AI models and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Ability to work with large datasets and knowledge of data preprocessing techniques. Familiarity with natural language processing (NLP) and computer vision for generative AI applications. Exp...

Strong background in GPU architecture (NVIDIA, AMD) and HPC systems. Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Keras, MXNet, Hugging Face).Experience with distributed training and orchestration frameworks (KubeFlow, MLflow, Ray, Horovod). Required Candidate profile Knowledge of parallel computing, MPI, CUDA, ROCm, and GPU drivers.Familiarity with storage technologies for HPC/AI (NVMe, Lustre, GPFS, Ceph, Object Storage).

As a skilled ML Platform Engineer, your role will involve automating, deploying, patching, and maintaining the machine learning platform infrastructure. You should have hands-on experience with tools such as Cloudera Data Science Workbench (CDSW), Cloudera Data Platform (CDP), Docker, Kubernetes, Python, Ansible, GitLab, and be familiar with MLOps best practices. Key Responsibilities: - Automate deployment and management processes for machine learning platforms using Ansible and Python. - Deploy, monitor, and patch ML platform components like CDSW, Docker containers, and Kubernetes clusters. - Ensure high availability and reliability of ML infrastructure through proactive maintenance and reg...

As a Senior Machine Learning/AI Manager at CDK, you will lead and mentor a team of scientists and engineers to deliver high-quality ML/AI solutions. You will own the full ML lifecycle from data exploration and feature engineering to model deployment and monitoring. Your role will involve architecting and implementing models for recommendation systems, classification, forecasting, and generative AI use-cases. Collaborating cross-functionally with product, engineering, and MLOps teams will be crucial to translate business needs into scalable ML solutions. Utilizing LLMs and Retrieval-Augmented Generation (RAG) to build intelligent customer experiences will be a key aspect of your responsibilit...

As an experienced AI Analytics Engineer with expertise in Azure DevOps, your role will involve designing, implementing, and optimizing data pipelines, machine learning models, and analytics solutions. You will be responsible for bridging the gap between data science, engineering, and DevOps practices to deliver scalable and production-ready AI/ML solutions. Key Responsibilities: - Design, develop, and deploy AI/ML models and analytics workflows. - Build and manage end-to-end CI/CD pipelines in Azure DevOps for data and ML projects. - Automate data ingestion, preprocessing, model training, testing, and deployment. - Monitor model performance and implement retraining pipelines. - Work closely ...

As a Lead AI Developer at Aumento Technologies & Consulting Services Pvt Ltd, you will play a crucial role in bridging business requirements with cutting-edge AI solutions. You will independently design, develop, and deploy enterprise-grade AI systems, including RAG (Retrieval-Augmented Generation) based applications. **Key Responsibilities:** - Collaborate with business stakeholders to identify and scope AI/ML/GenAI opportunities - Lead development of RAG-based AI solutions, integrating LLMs with enterprise data sources - Design and implement data pipelines, embeddings, and vector databases for retrieval-based systems - Build and optimize machine learning, deep learning, NLP, and generative...

As a Data Scientist at Texas Instruments, you will be a key player in the Demand Analytics team, focusing on shaping and executing demand planning and inventory buffer strategies. Working alongside a team of technical professionals, including application developers, system architects, data scientists, and data engineers, you will be responsible for solving complex business problems through innovative solutions that drive tangible business value. Your role will involve portfolio management for demand forecasting algorithms, generation of inventory buffer targets, segmentation of products, simulation/validation frameworks, and ensuring security and interoperability between capabilities. Key Re...

8-10 yrs in AI/ML Tools and packages using Databrick Models. Exposure to Healthcare data projects and MLOps tools Responsible for migrating existing machine learning models and pipelines to a new platform, ensuring continuity and performance

8-10 yrs in AI/ML Tools and packages using Databrick Models. Exposure to Healthcare data projects and MLOps tools Responsible for migrating existing machine learning models and pipelines to a new platform, ensuring continuity and performance

As a Software Engineer at Visa's VAS Innovation team, you will play a crucial role in developing cutting-edge solutions to enhance the capabilities of Value-Added Services (VAS) platform. Your responsibilities will include: - Engaging in the design, development, and implementation of innovative software solutions, such as generative AI and modern integration patterns. - Collaborating with cross-functional teams to deliver complex projects that integrate emerging technologies with existing platforms. - Engaging in continuous learning and development to enhance your skills and knowledge. - Developing client-focused solutions with a mindset to deliver exceptional value and innovation. - Contrib...

Lead Data Scientist - Generative AI & LLMs Location: Hyderabad Notice Period: Immediate to 30days About the Role As a Lead Data Scientist, you will drive the architecture, design, and delivery of GenAI solutions, focusing on LLM and vLLM fine-tuning, data strategy, and model performance. This is a strategic, leadership-oriented role requiring a deep technical foundation and strong stakeholder collaboration. Key Responsibilities Lead design and implementation of LLM-powered GenAI platforms and document intelligence products. Architect and own data pipelines for fine-tuning large language models using large- scale datasets. Guide and mentor data science teams on LLM training best practices, ev...

Develop and optimize AI models for insurance use cases, apply data science for predictive insights, innovate with latest AI, integrate with engineering teams, and ensure scalable, cost-efficient, reliable deployment and maintenance. Required Candidate profile Hands-on with GenAI, LLMs, prompt engineering, and fine-tuning; skilled in Python, TensorFlow, PyTorch; strong in data science, predictive analytics, and MLOps for scalable AI deployment.

DevOps Engineer Business Group: Technology Primary Work Location: EEEC Pune, India Job Summary: We are seeking a highly skilled and hardworking DevOps Engineer to join our dynamic team. Candidates should have a minimum of 3 to 5 years recent experience in Docker, Docker Compose, Kubernetes (AKS), MongoDB, SQL Server, Linux, and Azure cloud and platform administration. In this Role, Your Responsibilities Will Be: Responsible for app containerization & deployments for various sprint/QA/validated releases, Customer specific deployments, Installation support for customers, support for Dev/QA/Val/Performance testing. Responsible for building and maintaining Repos/CI/CD pipelines. Maintain the ent...

Were seeking a visionary Technical Architect with deep expertise in Data Science and Generative AI to lead the design and implementation of cutting-edge AI solutions. This role blends strategic thinking with hands-on technical leadership, enabling transformative innovation across industries. You’ll architect scalable systems, guide cross-functional teams, and shape the future of AI-powered products—from intelligent automation to synthetic data generation and beyond. Key Responsibilities Architect AI Solutions: Design end-to-end architectures for GenAI and data science platforms, including model pipelines, data lakes, and deployment strategies Lead Technical Strategy: Define technical roadmap...

What You Will Do: Design, build, and maintain end-to-end MLOps pipelines for ML model training, testing, and deployment. Collaborate with Data Scientists to productionize ML models in Azure ML and Azure Databricks. Implement CI/CD pipelines for ML workflows using Azure DevOps, GitHub Actions, or Jenkins. Automate infrastructure provisioning using IaC tools (Terraform, ARM templates, or Bicep). Monitor and manage deployed models using Azure Monitor, Application Insights, and MLflow. Implement best practices in model versioning, model registry, experiment tracking, and artifact management. Ensure security, compliance, and cost optimization of ML solutions deployed on Azure. Work with cross-fun...

As a Data Science and AI / ML professional at LTIMindtree, you will play a crucial role in leveraging digital technologies to drive innovation and growth for our clients. With over 6 years of experience in the field, you will be expected to have a deep understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Your expertise in data frameworks like Hadoop, business intelligence tools like Tableau, and Cloud native skills will be essential in delivering superior business outcomes. Key Responsibilities: - Utilize your knowledge of SQL and Python, with familiarity in Scala, Java, or C++ as an asset, to develop innovative A...

Role Overview: You will be responsible for designing, building, and deploying Generative AI models using foundational models like GPT, BERT, LLaMA, PaLM, etc. Additionally, you will develop scalable GenAI applications, integrate them with enterprise systems using APIs and SDKs, and fine-tune large language models (LLMs) for domain-specific use cases. You will also design, implement, and manage end-to-end machine learning pipelines on Microsoft Azure, collaborate with data scientists to productionize ML models, and automate deployment and monitoring of models using CI/CD pipelines and Azure DevOps tools. Furthermore, you will ensure security, compliance, and governance of ML workflows and dat...

As an experienced consulting professional in the field of Data Science or AI/ML Engineering, you will be responsible for understanding solutions, industry best practices, and implementing Oracle products and technology to meet customer needs. You will operate independently to deliver high-quality work products to engagements, applying Oracle methodology, company procedures, and leading practices. **Key Responsibilities:** - Lead end-to-end AI/ML solution design and production deployment - Specialize in Generative AI, LLMs, NLP, and AI agent development - Expertise in Python and modern ML/NLP frameworks such as HuggingFace, LangChain, PyTorch, TensorFlow - Fine-tune LLMs for domain-specific a...

You will be responsible for playing a crucial role as a Principal Software Maintenance Engineer at Red Hat, focusing on enhancing the long-term product experience for Red Hat OpenShift AI (RHOAI) customers. Your primary responsibilities will include: - Collaborating closely with Product Engineering to deliver extended product maintenance work, addressing bugs and Common Vulnerabilities and Exposures (CVEs) in the extended life streams of Red Hat OpenShift AI. - Driving all aspects of Red Hat OpenShift maintenance for a specific subset of product components related to software development that goes beyond the standard maintenance phase of Red Hat OpenShift AI minor releases. - Contributing to...

Role Overview: At Ramboll Tech, as a Lead Machine Learning Engineer, you will be responsible for creating cutting-edge AI solutions while mentoring others and fostering a culture of collaboration and growth. Your role will involve shaping the technical roadmap, contributing to the implementation of best practices, and working with global teams to deliver impactful AI solutions. Key Responsibilities: - Define architectural patterns for scalable LLM pipelines, ensuring robust versioning, monitoring, and adherence to best practices. - Drive the integration of external knowledge bases and retrieval systems to augment LLM capabilities. - Research and develop effective RAG architectures and techno...