43 Model Versioning Jobs

You are responsible for designing, building, and deploying production-grade machine learning systems. Your role involves developing ML models for various purposes such as classification, regression, clustering, Recommendation System, Anomaly Detection, Neural Networks, NLP, and Computer Vision Models. You are also required to package and deploy these models into production environments using CI/CD workflows. Additionally, you will develop and manage ML pipelines for data preprocessing, training, testing, and serving. Monitoring model performance in production and retraining them when necessary is also part of your responsibilities. Collaboration with data engineers, MLOps engineers, and DevO...

Responsibilities 1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes 3. Automate the training, testing and deployment processes for machine learning models 4. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability 5. Implement best practices for version control, model reproducibility and governance 6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness 7. Troubleshoot and resolve issues related to model deployment and...

As an AI Enabled Automation Developer Senior at EY, you will have the opportunity to build a unique career with global support, an inclusive culture, and cutting-edge technology to unlock your full potential. Your distinct voice and perspective are essential in contributing to EY's continuous improvement. Join us to create an exceptional experience for yourself and contribute to building a better working world for all. **Responsibilities:** - Develop and implement AI-enabled automation solutions in alignment with business objectives. - Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals to showcase the potential of AI-enabled automation appl...

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! As an Associate Architect at Quantiphi, you will design comprehensive technical solutions for enterprise AI initiatives, partnering with Fortune 500 clients on Google Cloud Platform. You'll translate complex business requirements into scalable architectures spanning generative AI, tradi...

Job Description We are looking for an AI Enginee r with hands-on experience designing and deploying scalable AI solutions. In this role, you will be part of a cross-functional team working on cutting-edge projects involving Retrieval-Augmented Generation (RAG), agentic frameworks, and end-to-end MLOps workflows. You'll play a key role in developing AI applications using tools like LangChain, CrewAI, and Google ADK, while applying advanced prompt engineering techniques and ensuring robust monitoring and performance tracing. Your collaboration with other engineering will help align innovative AI systems with broader development goals. What is this position about Analyze business problems and d...

Metro Global Solution Center (MGSC) is internal solution partner for METRO, a 31.6 Billion international wholesaler with operations in 32 countries through 625 stores & a team of 85,000 people globally. Metro operates in a further 10 countries with its Food Service Distribution (FSD) business and it is thus active in a total of 34 countries. MGSC, location wise is present in Pune (India), Dsseldorf (Germany) and Szczecin (Poland). We provide HR, Finance, Branding, IT & Business operations support to 31 countries, speak 24+ languages and process over 18,000 transactions a day. We are setting tomorrow's standards for customer focus, digital solutions, and sustainable business models. For over ...

As a Senior ML Engineer, you will be responsible for leading the design and delivery of LLM & Document AI solutions end-to-end. Your key responsibilities will include owning ML services in production, mentoring a team of ML engineers, and working directly with clients in the US and India. This technical leadership role emphasizes hands-on involvement rather than pure management tasks. Key Responsibilities: - Own the end-to-end lifecycle of AI features, from requirement understanding and solution design to development, deployment, and monitoring. - Build LLM/RAG-based solutions using vector databases for search, Q&A, extraction, and summarization over documents. - Develop Document AI models/p...

Experience- 5 to 10 years Location- HYD Work timings- 2 PM to 11 PM IST Working from client all 5 days DBS/DBS-/2025/2778559 We are looking for a skilled MLOps Engineer to join our team and help us build, deploy, and maintain robust and scalable machine learning systems. You will be responsible for the full lifecycle of our ML pipelines, from data ingestion to model serving. This is a hands-on role where you will design and implement automated workflows, ensure data quality, and manage model deployments in a production environment. Responsibilities Data and Feature Pipelines: Design, build, and manage automated data ingestion, transformation, and validation pipelines using services like Kube...

Job Description What You'll Do Design & build ML pipelines for astrology personalization, including: Kundli classification, user segmentation, and personality inference. Content generation, ranking, and transformation using LLMs. Develop & fine-tune models for Hindi and multilingual NLU/NLG using LLMs and transformers. Work with structured astrological data (e.g., Panchang, planetary transits) and unstructured content (texts, messages). Collaborate with product and astrology domain experts to build recommendation engines for daily insights, muhurats, and horoscopes. Implement and optimize pipelines using tools like LangChain, RAG, vector stores (FAISS/Chroma), and translation APIs (IndicTran...

As a DevOps Engineer at Emerson, you will be responsible for overseeing the end-to-end lifecycle of machine learning models, from deployment to monitoring and maintenance. You will work closely with data scientists, machine learning engineers, and development teams to ensure that ML models are efficiently integrated into production systems and deliver high performance. **Key Responsibilities:** - Deploy and handle machine learning models in production environments, ensuring they are scalable, reliable, and performant. - Design and implement CI/CD (Continuous Integration/Continuous Deployment) pipelines for ML models to streamline development and deployment processes. - Develop and maintain t...

We are growing! We are currently looking to hire a Freelance Data Scientist / NLP Engineer - Text Analytics & Sentiment Analysis to work with us remotely for a period of 4 months. Who we are: Founded in 2006, we're proud to be a global business. From Shanghai to Paris, we have 12 offices and operate across four continents in 70 countries. We are home to over 250 professionals from around the world, working together to serve more than 230 luxury clients. At CXG, we love to evolve, elevate, and transform experiences while bringing brand promises to life. We offer strategic solutions that impact performance and elevate the customer experience of some of the world's most iconic premium and luxur...

Job Summary We are looking for a skilled AI/ML Engineer with 3-4 years of experience in building and deploying scalable machine learning and Generative AI solutions. The ideal candidate should have a strong foundation in core AI/ML concepts, deep learning, NLP, and experience with Generative AI frameworks. Who We Are Looking For An enthusiastic self-starter who will work with minimal guidance, has strong Python programming skills, and hands-on experience deploying end-to-end AI/ML solutions. A first-principle understanding of databases, deep learning and LLMs is also required. Required Skills and Qualifications 1. 3+ years of work experience in Python programming for AI/ML, deep learning, an...

Key Responsibilities Design, train, and optimize deep learning models (CNNs, SSD and related variants) for image classification and object detection. Implement and maintain end-to-end computer vision pipelines using OpenCV or equivalent libraries. Develop, deploy, and manage models using Azure Custom Vision and other cloud platforms. Handle full model lifecycle: versioning, repository management, CI/CD integration, and OTA deployment. Work closely with cross-functional teams to integrate AI models into production environments. Monitor and evaluate model performance; retrain models to ensure accuracy and reliability. Maintain comprehensive documentation of workflows, experiments, and deployme...

Senior Software Engineer Communications Intelligence & Platform Systems What You'll Do Operationalize and deploy machine learning models built by Data Science teams using robust MLOps practices , including CI/CD pipelines, model versioning, monitoring, and rollback strategies , Feature Engineering, orchestrate ETL processes, manage data processing pipelines , and automate machine learning workflows Manage model deployment lifecycles , ensuring production-grade reliability, scalability, and observability of model-driven services integrated into communication decisioning systems. Design and build large-scale communication and personalization platforms that deliver intelligent, event-driven not...

Job Title: AIML Engineer ML Engineering, MLOps & GenAI Company: Amzur Technologies Location: Hyderabad / Bangalore / Visakhapatnam / Remote (India) Experience: 5 – 10 Years ( 2 years in production-grade ML/AI systems) Notice Period: Immediate to 30 Days (Preferred) Employment Type: Full-Time About the Role We are looking for a hands-on AIML Engineer to join our GenAI & Advanced Analytics team. You will design, build, and deploy AI/ML systems from start to finish. You should have strong ML skills, software engineering experience, and a passion for building real-world AI solutions. What You Will Do ML Engineering Build, train, test, validate, and deploy ML models using Python, scikit-learn, XG...

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software We are seeking AI Backend Engineers to play a pivotal role in building our Agentic Workflow Service and Retrieval-Augmented Generation (RAG) Service. In this hybrid role, you'll leverage your expertise in both backend development and machine learning to create robust, scalable AI-powered systems using AWS Kubernetes, Amazon Bedrock ...

As an AI/ML Specialist at our company, you will be part of a dynamic team that values talent and innovation. Your role will involve designing, developing, and deploying AI and machine learning models for real-world applications. You will work with large datasets, optimize AI-driven solutions, and stay updated with industry trends to enhance model efficiency. If you are passionate about AI and machine learning, and eager to work on cutting-edge technology, we encourage you to apply. **Responsibilities:** - Design, develop, and deploy AI and machine learning models for real-world applications. - Train, test, troubleshoot, and fine-tune machine learning models to enhance accuracy and performanc...

New Opportunity for Data Scientist || Immediate to 30days Joiners Job Description Data Scientist (NLP/ML Research) Position: Data Scientist Location: [Hybrid Noida Office] Experience: 2+ years Team: AI/ML Advanced Research and Product Innovation Reports To: Director Data Science About the Role We're seeking a seasoned Data Scientist to lead NLP/ML research efforts and architect end-to-end solutions. You will be instrumental in driving innovation, mentoring junior team members, and working closely with stakeholders to align AI capabilities with strategic goals. Key Responsibilities Lead the development and deployment of production-grade NLP and ML models. Work with large language models (LLMs...

Selected Intern's Day-to-day Responsibilities Include Support the deployment and maintenance of machine learning models in production. Help automate and streamline data processing, model versioning, and performance tracking. About Company: mPokket is a smartphone application of Maybright Ventures Private Limited. It is a rapidly growing and well-funded fintech startup in the lending domain. We currently provide instant microloans to college students in India over a mobile app. Our technology architecture and processes allow us to seamlessly onboard users, assess risk, and disburse and collect funds without any physical interface with our customers.

About Us We're an AI-first consultancy reimagining how organisations work. Our mission is to make Artificial Intelligence practical, measurable, and transformative helping businesses redesign their processes, eliminate silos, and unlock efficiency across operations. We work with clients in construction, manufacturing, and professional services, driving AI-led Business Process Reengineering (BPR) and Industry 4.0 transformations. We combine strategic consulting with deep technical execution and we're now looking for an engineer who can own that bridge completely. About the Role We're hiring a MidSenior AI Engineer who can take full end-to-end ownership from idea to production-ready product. Y...

Metro Global Solution Center (MGSC) is internal solution partner for METRO, a 31.6 Billion international wholesaler with operations in 32 countries through 625 stores & a team of 85,000 people globally. Metro operates in a further 10 countries with its Food Service Distribution (FSD) business and it is thus active in a total of 34 countries. MGSC, location wise is present in Pune (India), Dsseldorf (Germany) and Szczecin (Poland). We provide HR, Finance, Branding, IT & Business operations support to 31 countries, speak 24+ languages and process over 18,000 transactions a day. We are setting tomorrow's standards for customer focus, digital solutions, and sustainable business models. For over ...

Role Overview: As an MLOps professional in the company, your role will involve designing, implementing, and maintaining end-to-end ML pipelines for model training, evaluation, and deployment. You will collaborate with data scientists and software engineers to operationalize ML models. Your responsibilities will also include developing and maintaining CI/CD pipelines for ML workflows, implementing monitoring and logging solutions for ML models, optimizing ML infrastructure for performance, scalability, and cost-efficiency, and ensuring compliance with data privacy and security regulations. Key Responsibilities: - Design, implement, and maintain end-to-end ML pipelines for model training, eval...

You have a great opportunity to join the team as a Python Developer specializing in AI-driven applications. As a Python Developer at our company, your primary responsibilities will include developing and integrating LLMs into the WayVida platform using LangChain. You will also design, develop, and optimize scalable FastAPI services for AI-driven applications. Additionally, you will be building and maintaining high-performance APIs to support AI-based functionalities, working with large-scale datasets for training and fine-tuning LLMs, and improving system efficiency, response times, and model inference speeds. Collaboration with AI and Product Teams is crucial for deploying AI solutions effe...

Job Description: AI Engineer Experience- 2-4 Yrs Location: Bangalore (WFH) Employment Type: Full-time About the Role We are seeking a skilled Data Scientist/AI Engineer with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP). The ideal candidate will also have hands-on exposure to Generative AI (GenAI) and the ability to design, implement, and optimize advanced AI-driven solutions for real-world business problems. Key Responsibilities Design, develop, and deploy end-to-end machine learning and AI models for diverse business use cases. Apply advanced deep learning architectures (CNNs, RNNs, Transformers, etc.) for solv...

As a member of the platform team, your role will involve building and enhancing a production-grade AI-powered virtual assistant that provides real-time technical support and enhances decision-making through interactive engagement. You will need to have a deep understanding of agentic AI systems and enterprise Java development for this production-focused position. Key Responsibilities: - Design and deploy production-ready AI conversational agents using Java-based architectures - Develop agentic AI systems with advanced reasoning and decision-making capabilities - Create sophisticated prompt engineering strategies for complex multi-turn conversations - Implement and fine-tune LLMs and NLP pipe...