229 Ml Pipelines Jobs

Job description Join krtrimaIQ Cognitive Solutions, a leading AI/ML company enabling intelligent enterprises through advanced technologies like machine learning, NLP, computer vision, and automation. Be part of a dynamic team transforming data into powerful business decisions. Role: AI/ML Engineer Experience: 3+years Location: Bangalore Preferred: Ready to join immediate to within 15 days Responsibilities Design, develop, and deploy AI/ML models using Large Language Models (LLMs) and Multimodal LLMs. Work on building and optimizing Retrieval-Augmented Generation (RAG) pipelines for real-world use cases. Implement and fine-tune transformer models using Hugging Face and PyTorch. Conduct experi...

About The Position We are looking for a dynamic and experienced System Analyst Data Scientist Lead to join our growing AI & Data Science team. In this role, you will lead projects and collaborate with cross-functional teams to build and deploy cutting-edge machine learning solutions that drive business value. Technical and Professional Requirements Minimum 5+ years of experience in data science, with at least 2 years in a leadership or team management role. Proficiency in Natural Language Processing (NLP) techniques such as LDA, embeddings, Retrieval-Augmented Generation (RAG). Experience in time series forecasting, statistical modeling, and predictive analytics. Hands-on experience with Dat...

This role offers the opportunity to leverage your cloud-native deployment skills and experience with modern AI platforms to build scalable ML pipelines, LLM-based applications, and intelligent agent frameworks. You will play a key role in accelerating the delivery of innovative solutions for telecom, enterprise, and next-generation autonomous networks. If you thrive in a challenging and rewarding environment, we encourage you to apply. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Employ MLOps best practices for CI/CD, model deployment, and monitoring. Focus on fine-tuning, prompt engineering, RAG pipelines, and LLM monitoring. Enhance AI/ML systems with Agentic AI frameworks for autonomou...

Job Summary: The ML Engineer will be responsible for designing, developing, and deploying machine learning models and AI solutions. This role involves collaborating with data scientists, software engineers, and business stakeholders to deliver production-ready ML systems that meet business requirements and improve operational efficiency. Key Responsibilities: Design, develop, and implement machine learning models for various business applications. Preprocess, clean, and analyze large datasets from multiple sources. Collaborate with data scientists to understand modeling requirements and translate them into production-ready solutions. Deploy, monitor, and maintain ML models in production envi...

Mandatory Skills: * Python, Supervised / unsupervised modelling techniques, NLP, Extracting Insight from data * Deep learning frameworks -Tensorflow, PyTorch * Strong understanding of machine learning algorithms and principles * Data pre-processing and feature engineering , Model fine tuning Preferred additional skills: Strong hands on experience in developing solutions for Product discovery, Search. Hands on experience with developing ML based solutions for Query classification, intent identification, Vector search Location: Bangalore Notice Period: Immediate

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 teamis an exciting 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 SaaS applications leveraging state of art machine learning technologies for internal and external customers. You will be part of a team of smart, hands-on engineers...

Role -ML OPS Here is a Job opportunity for you in IRIS- At Iris Software, our vision is to be our clients most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services. Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation....

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.

About the Role: We are seeking a Machine Learning Developer to build, implement, and maintain machine learning models and AI-powered solutions. This role focuses on turning data insights into actionable software applications , collaborating with data scientists, software engineers, and product teams to integrate ML models into production-ready systems. Key Responsibilities: Model Development & Implementation Develop, implement, and optimize machine learning models for classification, regression, NLP, computer vision, recommendation systems, or anomaly detection. Collaborate with data scientists to convert research prototypes into production-ready applications . Perform feature engineering, d...

About the Role: We are seeking a skilled Machine Learning Engineer to design, build, and deploy scalable ML models that solve real-world business problems. The ideal candidate will work closely with data scientists, software engineers, and product teams to turn experimental ML prototypes into production-grade solutions that enhance decision-making, automation, and user experiences. Key Responsibilities: Model Development & Implementation Design, implement, and maintain machine learning models (supervised, unsupervised, reinforcement learning, or deep learning). Collaborate with data scientists to translate prototypes into production-ready ML solutions . Develop and optimize algorithms for pr...

Lead ML Experience: 8 - 10 Years Exp Salary : Competitive Preferred Notice Period : Within 30 Days Opportunity Type: Onsite (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Research , Computer Vision , Model deployment Infibeam (One of Uplers' Clients) is Looking for: Lead ML who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Phronetic.ai is an AI business venture of Infibeam Avenues, one of the publicly listed f...

Key Responsibilities Design, develop, and maintain end-to-end MLOps pipelines for training, testing, and deploying ML models at scale. Implement and optimize CI/CD workflows using GitHub Actions for ML model integration and delivery. Work extensively on Databricks for model training, orchestration, and deployment. Automate data ingestion, feature engineering, and ML model retraining workflows. Monitor model performance in production and enable automated re-training or alerting mechanisms. Experience with code versioning tools like GitHub, Gitlab, SVC, etc. Ensure ML systems follow best practices in version control, reproducibility, and scalability . Collaborate with cross-functional teams (D...

As a highly experienced AI/ML Engineer, you will be responsible for developing and deploying cutting-edge Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) to work on document parsing, Named Entity Recognition (NER), Retrieval-Augmented Generation (RAG), chatbots, and intelligent document systems. Your passion for AI will drive you to work on large-scale, impactful projects. Your key responsibilities will include: - Developing ML & DL models to solve complex business problems and enhance product functionality. - Building and deploying personalized LLMs for various applications. - Designing and implementing document parsing, NER, RAG, chatbot, and document processing...

About The Role Project Role : Enterprise Technology Architect Project Role Description : Architect complex end-to-end IT solutions across the enterprise. Apply the latest technology and industry expertise to create better products and experiences. Must have skills : Data Consulting Good to have skills : NA Minimum 7.5 year of experience is required Educational Qualification : 15 years full time education Summary :Deliver AI/ML/GenAI solutions in engineering programs with focus on design automation and PLM data.Roles & Responsibilities:Build ML/GenAI solutions for CAD/PLM auto-classification.Implement copilots inside PLM environments.Automate defect/rework prediction.Collaborate with architec...

This is For Ongoing Contract Role. Work from Office 2 Days a Week. Job Location: Bangalore Role & responsibilities Must have: Strong on programming languages like Python, Java One cloud hands-on experience ( GCP preferred) Experience working with Dockers Environments managing (e.g venv, pip, poetry, etc.) Experience with orchestrators like Vertex AI pipelines, Airflow, etc Understanding of full ML Cycle end-to-end for majorly NLP projects Data engineering, Feature Engineering techniques Experience with ML modelling and evaluation metrics Experience with Tensorflow, Pytorch or another framework Experience with Models monitoring Advance SQL knowledge API development eg. Fast api etc Aware of S...

Data Scientist - Job Description Summary To improve current or new processes, design and develop new methodologies, quantitative models, analysis, and commentary (as applicable). Maintain current independent analysis and product performance standards. Work internally with different departments to develop new concepts and expand the scope of existing products. Job Description Data handling, data processing and programming Support delivery of new or enhanced capabilities by defining requirements and/or leading projects Translate business needs into solution requirements. Write functional and non-functional specifications Propose and implement improvements to products and processes Develop auto...

Job Overview Summary The Lead Data Architect is a strategic and technical leadership role responsible for architecting, scaling, and evolving enterprise-grade data platforms that enable advanced analytics, AI/ML, and data-driven decision-making. Reporting to the Senior Director of Data Platforms , this role will lead the design and governance of modern data architectures, drive innovation in AI orchestration, and ensure the delivery of secure, compliant, and high-performing data solutions. This position combines hands-on engineering expertise with architectural vision and cross-functional leadership. The Lead Data Architect will guide engineering teams, influence platform strategy, and estab...

Job Overview Summary The Lead Data Architect is a strategic and technical leadership role responsible for architecting, scaling, and evolving enterprise-grade data platforms that enable advanced analytics, AI/ML, and data-driven decision-making. Reporting to the Senior Director of Data Platforms , this role will lead the design and governance of modern data architectures, drive innovation in AI orchestration, and ensure the delivery of secure, compliant, and high-performing data solutions. This position combines hands-on engineering expertise with architectural vision and cross-functional leadership. The Lead Data Architect will guide engineering teams, influence platform strategy, and estab...

Role Overview: As a GPU Infrastructure Engineer at Dharmakit Networks, you will play a crucial role in building, optimizing, and scaling the GPU and AI compute infrastructure for Project Ax1. Your responsibilities will include managing cloud and on-prem clusters, setting up model CI/CD pipelines, and ensuring efficient utilization of GPUs to support AI systems. Key Responsibilities: - Design, deploy, and optimize GPU infrastructure for large-scale AI workloads. - Manage GPU clusters across cloud platforms such as AWS, Azure, and GCP, as well as on-prem setups. - Set up and maintain model CI/CD pipelines to streamline training and deployment processes. - Optimize LLM inference using technolog...

Responsibilities Design, build, and deploy generative AI solutions using LLMs such as OpenAI, Anthropic, Mistral, or open-source models (e.g., LLaMA, Falcon). Fine-tune and customize foundation models using domain-specific datasets and techniques. Develop and optimize prompt engineering strategies to drive accurate and context-aware model responses. Implement model pipelines using Python and ML frameworks such as PyTorch, Hugging Face Transformers, or LangChain. Collaborate with data engineers and MLOps teams to productionalize GenAI models on cloud platforms (Azure/AWS/GCP). Ensure robustness, scalability, and compliance of AI models in deployment environments. Good to have experience in fi...

We at CH Solutions , a leading consulting and placement firm, are hiring experienced Software Developers for direct payroll positions with our esteemed client companies across various domains. This opportunity is ideal for professionals looking to work on impactful, real-time projects within a client environment while advancing their technical careers. This is an opening for our client company. Language Requirement: The client prefers candidates who are proficient in both English and Tamil. High Lights: Only Tamil-Speaking Candidates are Eligible Graduates from 2024 & 2025 batches are not eligible Eligibility: Must have completed your previous job Relieving Letter (Hard Copy) required Resume...

Engagement Type: Contractual (Immediate Joiners Preferred) Location: Noida / Gurgaon / Indore / Bangalore / Pune / Remote (Hybrid model for on-site locations) About the Role We're seeking experienced Machine Learning Engineers to join our client's high-impact AI/ML projects. You'll work on designing, developing, and deploying scalable ML solutions across domains driving innovation, automation, and data-driven decision-making. Key Responsibilities Design, develop, and implement end-to-end ML pipelines including data ingestion, feature engineering, and model deployment. Collaborate with business, data, and product teams to deliver actionable insights and AI-driven solutions. Build scalable dat...

In this role, you will be responsible for building the machine learning production system (MLOps) to help companies transition to becoming AI-driven organizations. You will work with a team to deploy state-of-the-art AI solutions for clients. Your key responsibilities will include: - Collaborating with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models - Automating and streamlining model development and operations - Building and maintaining tools for deployment, monitoring, and operations - Troubleshooting and resolving issues in development, testing, and production environments - Enabling model tracking, experimentation, and automation - Deve...

Role Overview: You will be part of Swiggy's Machine Learning Platform team in Bangalore, Karnataka, contributing to building the foundations for large-scale prediction systems like ETA, pricing, and demand forecasting. This role requires a combination of applied modeling, data science, and engineering rigor to ensure that models are accurate, reliable, explainable, and production-ready at scale. Key Responsibilities: - Contribute to the design, training, and evaluation of ML models with a focus on reproducibility, stability, and generalization. - Build and maintain scalable pipelines for model training, validation, and deployment. - Apply sound statistical reasoning to assess data quality, f...

Roles & responsibilities: : The candidate must be able to independently manage his/ her own workstream and effectively collaborate with other regional teams. Develop and deploy machine learning models to support key business areas such as Credit Risk, Fraud Detection, Customer Segmentation, Marketing Optimization, and Collections Strategy. Collaborate with cross-functional teams (Data Engineers, Product Managers, Engineers) across Chennai, Manila, and Singapore to deliver production-grade ML solutions aligned with business goals. End-to-End Ownership: Drive the full lifecycle of ML solutionsfrom data exploration, feature engineering, and algorithm selection to deployment and performance moni...