333 Ml Pipelines Jobs

Required Skills: Strong experience in AI/ML architecture and solution design. Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with LLMs and generative AI (OpenAI, Azure OpenAI, LangChain, Hugging Face). Strong programming background in Python (FastAPI, Flask), and familiarity with Java/Node.js. Experience in cloud platforms (AWS/GCP/Azure) and ML toolkits (SageMaker, Azure ML, Vertex AI). Good understanding of microservices, REST APIs, GraphQL, and event-driven architecture. Knowledge of vector databases like Pinecone, FAISS, Chroma, or Weaviate. Proficiency with CI/CD, Docker, Kubernetes, MLflow, Airflow, or similar tools.

Hiring: Lead / Architect MLOps Engineer Experience: 8+ Years Location: Hyderabad Work Mode: Hybrid (3 days WFO) Employment Type: Full-Time Note: Candidate must be available to come to the office for PM discussion. Role Overview The MLOps Engineer will bridge the gap between machine learning model development and production deployment. This role focuses on building scalable ML infrastructure, automating pipelines, and ensuring reliable, secure, and cost-efficient ML operations in production environments. Key Responsibilities Design, develop, and maintain CI/CD pipelines for ML models Automate model deployment, monitoring, retraining, and performance tracking Collaborate closely with data scie...

About the Role: The charter of the Data + ML Platform team is to harness all the data that is ingested and cataloged within the Data LakeHouse for exploration, insights, model development, ML Engineering and Insights Activation. This team is situated within the larger Data Platform group, which serves as one of the core pillars of our company. We process data at a truly immense scale. Our processing is composed of various facets including threat events collected via telemetry data, associated metadata, along with IT asset information, contextual information about threat exposure based on additional processing, etc. These facets comprise the overall data platform, which is currently over 200 ...

Role & responsibilities Design and implement AI/ML models for anomaly detection, forecasting, and incident prediction. Develop and optimize MLOps pipelines for scalable, automated model training, validation, deployment, and monitoring. Select and evaluate appropriate algorithms and statistical methods for diverse telecom data sets. Apply best practices for data preprocessing, feature engineering, and model interpretability. Collaborate with software architects and engineering teams to integrate ML models into a cloud-native, microservices-based platform. Contribute to the selection and integration of MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Ensure data quality, governance,...

Drives architecture decisions and contributes to ML platform architecture and strategy. Creates a multi-year vision connecting product strategy with technology strategy. Leads teams' work in ML, NLP, Statistics, or Optimization, performing hands-on work in these domains. Weighs ROI considerations for general and tailored capabilities for projects. Develops foundational methods and novel applications using state-of-the-art ML technologies and industry trends. Shapes mission-critical projects by influencing business leaders and architects. Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encoura...

We are seeking an AI/ML Engineer to design, develop, and deploy machine learning models. Responsibilities include data model training, optimization, and integration into applications. Proficiency in Python, ML algorithms, data handling required.

About The Role Grade Level (for internal use): 03 Who We Are Kensho is S&P Global's hub for AI innovation and transformation . With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P Global and its customers worldwide. Our solutions help businesses harness the power of data and Artificial Intelligence to innovate and drive progress. Kensho's solutions and research focus on Generative AI, LLM Agents, speech recognition, entity linking, document extraction, text classification, natural language processing, and more. At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collabora...

Role Description Mercor is hiring on behalf of a leading AI research lab to bring on highly skilled Machine Learning Engineers with a proven record of building, training, and evaluating high-performance ML systems in real-world environments. In this role, you will design, implement, and curate high-quality machine learning datasets, tasks, and evaluation workflows that power the training and benchmarking of advanced AI systems. This position is ideal for engineers who have excelled in competitive machine learning settings such as Kaggle, possess deep modelling intuition, and can translate complex real-world problem statements into robust, well-structured ML pipelines and datasets. You will w...

Description We are looking for a hands-on AI/ML Engineer with strong skills in Python, traditional machine learning, and backend-oriented model development. The ideal candidate should be comfortable with prompt engineering, building scalable ML systems, and integrating models into production : Design, develop, and deploy AI/ML models using Python. Build traditional ML pipelines, including data preprocessing, feature engineering, model training, and evaluation. Create and fine-tune models using structured and unstructured data. Work on prompt engineering for LLM-based use cases and enhance model performance. Collaborate with backend teams to integrate ML models into applications and APIs. Opt...

About the Role Join our team contributing to open-source Python projects used by leading AI and data companies. What You'll Do Frame unique ML problems for enhancing ML capabilities of LLMs. Design, build, and optimise machine learning models for classification, prediction, NLP, recommendation, or generative tasks. Run rapid experimentation cycles, evaluate model performance, and iterate continuously. Conduct advanced feature engineering and data preprocessing. Implement adversarial testing, model robustness checks, and bias evaluations. Fine-tune, evaluate, and deploy transformer-based models where necessary. Maintain clear documentation of datasets, experiments, and model decisions. Stay u...

At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. Oracle Generative AI Applications team is an exciting, new team in Oracle Cloud Infrastructure, delivering innovative servicesat the intersection of artificial intelligence and cloud infrastructure. In Generative AI Applications team, you will build and operate Cloud native services and SaaS applications leveraging state of art machine learning and Generative AI technologies for internal and external customers. You w...

Job Description Join Zendesk and Shape the Future of Customer Experience We are seeking a high-impact Staff Software Engineer to join our full-stack team in Punea pivotal technical leader who will drive innovation and excellence at scale. In this senior technical role, you will own the architecture and delivery of critical system components with full lifecycle accountability. You will wield your extensive experience and strategic insight to spearhead the smart integration of advanced AI technologies that elevate customer experience, streamline development workflows, boost product quality, and drive operational efficienciesultimately accelerating time-to-market while reducing costs and engine...

Senior Machine Learning Engineer - LLM Evaluation / Task Creations [$21/hr] As an independent member of the referral program of a leading organization ( Mercor ) , we are posting to seek highly skilled Machine Learning Engineers with a proven record of building, training, and evaluating high-performance ML systems in real-world environments. In this role, you will design, implement, and curate high-quality machine learning datasets, tasks, and evaluation workflows that power the training and benchmarking of advanced AI systems. This position is ideal for engineers who have excelled in competitive machine learning settings such as Kaggle, possess deep modelling intuition, and can translate co...

You are invited to join a full-service digital marketing agency client of Uplers, focused on performance and growth. The agency is looking for an experienced AI Engineer to contribute to shaping the future of video creation with AI. The product, centered around generative AI Video, is 70% complete and requires your expertise to scale it globally. **What You'll Do:** - Optimize and fine-tune generative AI models (diffusion, transformers, GANs) for video and audio. - Build and scale end-to-end ML pipelines including training, inference, and deployment. - Refine audio/video workflows using OpenCV, FFmpeg, moviepy. - Integrate TTS/STT and AI image/video generation modules. - Collaborate on deplo...

We are looking for a highly experienced Senior Machine Learning Engineer with 10+ years of combined experience in software engineering and machine learning. This role requires end-to-end ownership of scalable ML model developmentspanning data preparation, feature engineering, model training, deployment, and optimization in production. The ideal candidate excels at building robust ML systems, collaborating with cross-functional teams, and delivering high-performance machine learning solutions at scale. Key Responsibilities Design, build, and deploy machine learning models along with complete end-to-end ML pipelines. Engineer high-quality features and manage large, complex datasets for model t...

Design & evaluate ML tasks, build datasets, run experiments & benchmark LLMs Strong Python skills, competition-grade expertise (Kaggle) & robust pipelines Experience with modern ML/NLP tools At dext ai, we refer candidates to AI-training companies Required Candidate profile At least 3 yrs experience of full-time ML development Prior experience in AI research or ML platforms Preferred: Background in GenAI models, LLMs or multimodal learning Contributions to Open-source Perks and benefits Work from home at $21 per hour

Role & responsibilities A Machine Learning Engineer designs, builds, and deploys machine learning models and systems to solve real-world problems, bridging data science and software engineering . They focus on creating scalable, production-ready AI applications that automate predictions and insights from data . Key Responsibilities Design and develop ML systems, including selecting algorithms, preprocessing data, and building data pipelines for model training . Run experiments, perform statistical analysis, fine-tune models, and monitor performance to ensure accuracy and reliability in production . Collaborate with teams to define objectives, deploy models via APIs or services, and stay upda...

About the Role: 03 Who We Are Kensho is S&P Global's hub for AI innovation and transformation . With expertise in Machine Learning and data discovery, we develop and deploy novel solutions for S&P Global and its customers worldwide. Our solutions help businesses harness the power of data and Artificial Intelligence to innovate and drive progress. Kensho's solutions and research focus on Generative AI, LLM Agents, speech recognition, entity linking, document extraction, text classification, natural language processing, and more. At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates diverse ...

Location Bengaluru Job Description [Project Details]: Do you want to join a Machine Learning team committed to personalizing the PlayStation experience for hundreds of millions of users? The work we do delivers impactful insights to build an increasingly dynamic and interactive experience! The Machine Learning Engineers within the platform engineering group will deliver optimized interactions across PlayStation experiences and systems by designing, coding, training, documenting, cost-effectively deploying and evaluating very large-scale machine learning systems. We are looking for someone who can build delightful products and experiences for millions, in an agile environment, collaborating w...

Company Overview: BOLD is revolutionizing the career landscape by empowering individuals to discover and develop their professional paths. Our recent acquisitions of Monster and CareerBuilder will expand our global reach and impact. With a range of brands like FlexJobs, Zety and Sonara and more , we provide job seekers with the tools to create impressive resumes and connect with employers. BOLD fosters a dynamic, inclusive culture that priorities innovation and growth. So don't wait and join us in shaping the future of work and redefining successful careers. Position Overview: Own production ML environments and MLOps infrastructure within infrastructure and data science teams. Handle day-to-...

About the Role The ML Developer will design, build, and maintain machine learning models and data pipelines powering core business use cases. The role is hands-on with Python for model development, feature engineering, and pipeline automation, leveraging Azure ML, and Azure DevOps. Success means robust, production grade models with proven business impact, traceable lineage, and operational excellence at scale. Role & responsibilities Feature Engineering & Model Development - Translate model prototypes from Data Scientists into Azure ML production pipelines, including data ingestion, training, inference, and retraining. - Build and iterate on ML models (forecasting/classification/regression) ...

Basic Qualifications Experience: 4+ years. Hands-on development experience playing the role of Data Analyst and/or ML Engineer. Experience in working with excel for data analytics Experience with statistical modelling of large data sets Experience with ML models and ML algorithms Coding experience in Python Nice to have Qualifications Experience with wide variety of tools used in ML Experience with Deep learning Benefits Competitive salary. Hybrid work model.

Design & evaluate ML tasks, build datasets, run experiments & benchmark LLMs Strong Python skills, competition-grade expertise (Kaggle) & robust pipelines Experience with modern ML/NLP tools At dext ai, we refer candidates to AI-training companies Required Candidate profile At least 3-5 yrs experience of full-time ML development Prior experience in AI research or ML platforms Preferred: Background in GenAI models, LLMs or multimodal learning Contributions to Open-source Perks and benefits Work from home at $21 per hour

Job Title : Machine learning Engineer Overview: A Machine Learning Engineer designs, builds, and deploys machine learning models and systems to solve real-world problems, bridging data science and software engineering . They focus on creating scalable, production-ready AI applications that automate predictions and insights from data . Key Responsibilities Design and develop ML systems, including selecting algorithms, preprocessing data, and building data pipelines for model training . Run experiments, perform statistical analysis, fine-tune models, and monitor performance to ensure accuracy and reliability in production . Collaborate with teams to define objectives, deploy models via APIs or...

In this role at EY GDS as a Senior Data Scientist focusing on Data and Analytics (D&A) with a specialization in MLOP's, you will have the opportunity to leverage your expertise in Data Science and Machine Learning. With a minimum of 3-7 years of experience, you will play a crucial role in developing and implementing AI solutions, particularly in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. Your deep understanding of AI technologies will be instrumental in designing and implementing cutting-edge AI models and systems. Additionally, your proficiency in data engineering, DevOps, and MLOps practices will be highly valuable in this role. Key Responsibili...