152 Ml Deployment Jobs - Page 3

We are seeking a skilled ML Ops Engineer to join our team and streamline the deployment, monitoring, and management of machine learning models at scale. You will collaborate closely with data scientists, engineers, and DevOps to build robust, scalable ML infrastructure and CI/CD pipelines for AI/ML workflows. ML Ops engineer/ML engineer Project Description The engineer is supposed to participate in various AI projects such as Demand Sensing and Forecasting, Price and Promotion Optimization and others. Details on Tech Stack Proficiency in Python. Competent knowledge of best practices for software development. Strong understanding of Data Science concepts such as supervised and unsupervised le...

We are seeking a skilled ML Ops Engineer to join our team and streamline the deployment, monitoring, and management of machine learning models at scale. You will collaborate closely with data scientists, engineers, and DevOps to build robust, scalable ML infrastructure and CI/CD pipelines for AI/ML workflows. ML Ops engineer/ML engineer Project Description The engineer is supposed to participate in various AI projects such as Demand Sensing and Forecasting, Price and Promotion Optimization and others. Details on Tech Stack Proficiency in Python. Competent knowledge of best practices for software development. Strong understanding of Data Science concepts such as supervised and unsupervised le...

We are seeking a skilled ML Ops Engineer to join our team and streamline the deployment, monitoring, and management of machine learning models at scale. You will collaborate closely with data scientists, engineers, and DevOps to build robust, scalable ML infrastructure and CI/CD pipelines for AI/ML workflows. ML Ops engineer/ML engineer Project Description The engineer is supposed to participate in various AI projects such as Demand Sensing and Forecasting, Price and Promotion Optimization and others. Details on Tech Stack Proficiency in Python. Competent knowledge of best practices for software development. Strong understanding of Data Science concepts such as supervised and unsupervised le...

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail one of the worlds most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Me...

Role & responsibilities Design and manage end-to-end ML pipelines for deployment and monitoring. Automate model training, retraining, and deployment workflows . Implement CI/CD for ML models to ensure reliability and scalability. Build real-time dashboards and APIs for model outputs and business consumption. Optimize cloud resources (Azure Databricks, ADF, Azure ML) for performance and cost efficiency. End-to-end model lifecycle management from development to deployment. Collaborate with data scientists, engineers, and business teams to operationalize ML solutions. Preferred candidate profile 3+ years of experience in MLOps / Data Science and model deployment . Strong skills in Python, PySpa...

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Devel...

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT t...

MLOps Engineer (Exempt) Enterprise AI/ML Organization OVERVIEW We are looking for an experienced MLOps Engineer to support our AI and ML initiatives, including GenAI platform development, deployment automation, and infrastructure optimization. You will play a critical role in building and maintaining scalable, secure, and observable systems that power scalable RAG solutions, model training platforms, and agentic AI workflows across the enterprise. RESPONSIBILITIES Design and implement CI/CD pipelines for AI and ML model training, evaluation, and RAG system deployment (including LLMs, vectorDB, embedding and reranking models, governance and observability systems, and guardrails). Provision an...

Role & responsibilities Understand workflows/processes and devise strategies for the areas applicable to AI-based implementation. Translate eLearning requirements into AI-driven automation strategies. Define data requirements and provide datasets for AI model training specific to eLearning. Design and maintain data pipelines (Azure Data Factory, Databricks, Synapse Analytics) to ensure clean, structured content for training. Apply governance frameworks (Azure Policy, Purview, DLP) to ensure responsible AI practices. Ensure fairness and transparency in AI models using Fair learn and Interpret ML. Develop and optimize AI models for automating eLearning processes, including interactive storyboa...

Mandatory keyskills : Python Programming Strong proficiency is essential for building and deploying ML models. Cloud Platforms (Azure, GCP, AWS) – Hands-on experience with at least one major cloud provider. Linux & Docker – Solid understanding of containerization and operating systems for scalable deployment. ML/Ops Tools (e.g., Azure ML) – Experience in deploying and managing machine learning models in production.

Hello Candidate, Greetings from Hungry Bird IT Consulting Services Pvt Ltd. We are hiring Senior AI Infrastructure Management Engineer for our client. Job Title: Senior AI Infrastructure Management Engineer Location: Hyderabad Job Type: Full-Time Work Mode: Hybrid E xperience Required: 6+ Years Job Summary: We are seeking a highly skilled Senior AI Infrastructure Management Engineer with expertise in Azure , AWS , and AI/ML deployment environments. This role demands deep technical knowledge of Linux , DevOps practices , cloud architecture , and AI/ML operations (MLOps/AIOps) . The ideal candidate will be responsible for architecting, deploying, and maintaining scalable and secure infrastruct...

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, M...

About the Role: Grade Level (for internal use): 09 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will build and maintain enterprisescale data extraction, automation, and ML model deployment pipelines that power data sourcing and information retrieval solutions for S&P Global. You will learn to design resilient, production-ready systems in an AWS-based ecosystem while leading by example in a highly engaging, global environment that encourages thoughtful risk-taking and self-initiative. Whats in it for you: Be part of a global company and deliver solutions at enterprise scale Collaborate with a hands-on, technically strong team (including leadership)...

What you will do: ACVs Machine Learning (ML) team is looking to grow its MLOps team. Multiple ACV operations and product teams rely on the ML teams solutions. Current deployments drive opportunities in the marketplace, in operations, and sales, to name a few. As ACV has experienced hyper growth over the past few years, the volume, variety, and velocity of these deployments has grown considerably. Thus, the training, deployment, and monitoring needs of the ML team has grown as weve gained traction. MLOps is a critical function to help ourselves continue to deliver value to our partners and our customers. Successful candidates will demonstrate excellent skill and maturity, be self-motivated as...

Project description New settlements and confirmation system for FX trades. Responsibilities We are seeking an AI-ML Tech Engineer who has a minimum of 8+ years of strong background in machine learning, data science, and software engineering. As a Machine Learning Engineer, you will develop and deploy machine learning models, work with large datasets, and collaborate with cross-functional teams to solve real-world problems. Skills Must have Proficient in building ML (Machine Learning) & NLP (Natural Language Processing) solutions using common ML libraries and frameworks. Proficient with Python language and worked on various ML toolkits like TensorFlow, PyTorch, Keras, Scikit Learn. Theoretica...

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Devel...

Greeting From BMW Techworks !! Experience: 3 to 8 Years Location: Bangalore, Pune Notice period: immediate to 60days Job Description :- We are seeking a skilled Software Engineer with expertise in AWS cloud technologies to design, develop, and deploy scalable applications using core AWS services. Familiarity with computer vision/deep learning is a plus and will enhance your ability to contribute to cutting edge projects in Automated Driving technologies. Key Responsibilities: Design, develop, and maintain scalable, high-performance applications using AWS services such as EC2, S3, Lambda, RDS, DynamoDB, Batch and ECS/EKS. Monitor and optimize application performance using AWS tools like Cloud...

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Devel...

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT t...

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Devel...

Role & responsibilities Be an expert in Python, with solid working knowledge of at least one Python web framework such as Django, Flask, etc... Good familiarity with ORM (Object Relational Mapper) libraries. Ability to integrate multiple data sources and databases into one system. Understanding of the threading limitations of Python, and multi-process architecture. Good understanding of server-side templating languages such as Jinja 2, Mako, etc Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3 Understanding of accessibility and security compliance. Good knowledge of user authentication and authorization between multiple systems, servers, and environments. Fa...

Accel Portfolio company Position: Senior AI Engineer Location: Bangalore (Preferred) Or Remote Role Overview: We&aposre looking for an exceptional AI/ML Technical Lead to spearhead the development of our advanced AI shopping assistant. You&aposll be responsible for building and scaling our AI capabilities while working directly with the founding team. Key Responsibilities: Architect and develop our core AI shopping assistant Lead the implementation of natural language processing for shopping interactions Design and implement recommendation systems for products and deals Develop AI models for price optimization and reward maximization Work with Data providers and embed data to RAG vector stor...

Hiring a Senior GenAI Engineer with 7-12 years of experience in Python, Machine Learning, and Large Language Models (LLMs) for a 6-month engagement based in Gurugram This hands-on role involves building intelligent systems using Langchain and RAG, developing agent workflows, and defining technical roadmaps The ideal candidate will be proficient in LLM architecture, prompt engineering, vector databases, and cloud platforms (AWS, Azure, GCP) The position demands strong collaboration skills, a system design mindset, and a focus on production-grade AI/ML solutions

Were Hiring | Python Developer – AI/ML (OCR/NLP) Are you passionate about building intelligent systems that solve real-world challenges? Join our team and work on cutting-edge AI/ML solutions with expertise in Python, OCR/NLP, and MLOps. Role: Python Developer – AI/ML (OCR/NLP) Experience: 4–5 years Location: [Insert Location / Remote / Hybrid] What you’ll work on: Developing Python-based applications & microservices. Building & deploying OCR/NLP solutions (OpenCV, Tesseract, spaCy, Hugging Face). Integrating AI/ML models (TensorFlow, PyTorch, Scikit-learn) into production. Working with APIs, Flask/Django, Docker/Kubernetes, and cloud platforms (AWS/Azure/GCP). What we’re looking for: 4–5 ye...

We are hiring an AI/ML Engineer (6-month contract) to develop, deploy, and optimize ML/DL models. Work with TensorFlow, PyTorch, Hugging Face, and cloud platforms. Apply MLOps, explore LLMs & generative AI, and drive innovation.