471 Model Deployment Jobs

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 3 years of experience in a technical leadership role. 2 years of experience in a people management or team leadership role. Preferred qualifications: Master's degre...

Job Description: Senior AI Python Developer Company: Katomaran Technologies Pvt. Ltd. Location: Coimbatore (Onsite) Experience: 46 Years Employment Type: Full-time About Katomaran Technologies Katomaran Technologies is a technology-driven company specializing in AI, Computer Vision, Video Analytics, Embedded Systems, and Intelligent Automation . We build scalable, real-world AI solutions across industries. Role Overview We are seeking a Senior AI Python Developer with strong expertise in Python-based AI/ML development. The ideal candidate will design, develop, optimize, and deploy AI solutions, working closely with product, research, and engineering teams. Key Responsibilities ?Design, devel...

Job Description : Lead / Architect MLOps Engineer Experience : 8+ Years Location : Hyderabad (3 days Work from Office Mandatory) Role Overview: The Lead / Architect MLOps Engineer will play a critical role in bridging the gap between machine learning model development and production deployment. The role involves designing, implementing, and maintaining scalable, secure, and efficient ML pipelines and infrastructure to support model deployment, monitoring, and continuous improvement in production environments. Key Responsibilities: 1. Design, develop, and maintain end-to-end MLOps pipelines for model training, deployment, monitoring, and retraining 2 . Build and manage CI/CD pipelines for ML ...

As a Machine Learning Engineer at Lifease Solutions LLP, your role involves working on predictive modeling and deep learning for cricket analytics. You will be responsible for developing ML/DL models to predict match scores, outcomes, team & player performances, and statistics. Your key responsibilities include: - Developing ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. - Implementing time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) for score predictions. - Training and fine-tuning reinforcement learning models for strategic cricket decision-making. - Developing ensemble learning techniques to improve predictive accuracy. In...

**Job Description:** **Role Overview:** If you are looking for a career at a dynamic company with a people-first mindset and a deep culture of growth and autonomy, ACV is the right place for you! Competitive compensation packages and learning and development opportunities, ACV has what you need to advance to the next level in your career. ACV is a technology company that has revolutionized how dealers buy and sell cars online. ACV Auctions Inc. (ACV) has applied innovation and user-designed, data-driven applications and solutions. ACV Auctions is opening its new India Development Center in Chennai, India, and we're looking for talented individuals to join our team. At ACV, we put people firs...

As a highly capable Machine Learning Engineer at PrashTech Solutions, you will play a crucial role in optimizing our machine learning systems. Your primary responsibilities will include consulting with managers to refine machine learning objectives, designing self-running AI software to automate predictive models, and transforming data science prototypes using appropriate ML algorithms and tools. Your expertise will be essential in ensuring accurate user recommendations, auto-tagging images, text-to-speech conversions, and developing and deploying ML models for various applications. Key Responsibilities: - Consult with managers to determine and refine machine learning objectives. - Design ma...

As a Machine Learning Engineer at MinoriLabs, you will play a crucial role in developing and implementing machine learning algorithms and models for various applications. Your responsibilities will include: - Developing and implementing machine learning algorithms and models. - Conducting exploratory data analysis to uncover patterns and insights. - Designing and developing machine learning pipelines for data ingestion, pre-processing, feature engineering, model training, and evaluation. - Optimizing machine learning models for performance and scalability. - Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions. - Staying up...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience programming in Python or C++. 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with data structures or algorithms. Experience developing accessible...

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...

Role Overview: As a Freelance Visiting Faculty/Corporate Trainer for Data Science and Machine Learning, you will be responsible for conducting training sessions and sharing your expertise in the field with participants. This is a part-time on-site role located in Mumbai/Coimbatore/Trichy. Key Responsibilities: - Proficiency in Data Science and Machine Learning concepts - Experience in teaching or training in the field of Data Science and Machine Learning - Strong communication and presentation skills - Expertise in relevant tools and technologies used in Data Science and Machine Learning - Good knowledge of ML frameworks like TensorFlow and PyTorch is required - Decent understanding of Gener...

As an AI Solutions Architect with 10-15 years of experience, including 5-8 years in data science, analytics, and AI/ML, you will be responsible for developing strategies and solutions to solve problems creatively using machine learning, deep learning, and GEN AI techniques. Your key responsibilities will include: - Leading a team of data scientists to ensure project deliverables are produced on time and with high quality. - Analyzing large and complex data sets, processing, cleansing, and verifying data integrity. - Performing exploratory data analysis (EDA) using state-of-the-art methods. - Selecting features, building, and optimizing classifiers/regressors using machine learning and deep l...

About Cittabase Company overview Our Approach Our Values and Core Principles Careers Events Department: Data Analytics Project Location(s): Chennai, TN, India Education: Professional Degree Job Description We are looking for an AI/ML Engineer with a strong inclination toward Generative AI and Large Language Models (LLMs) to build intelligent, scalable, and production-grade AI applications. You will work on real-world use cases involving NLP, GenAI, predictive modelling, and data-driven automation, closely collaborating with data engineering and product teams. Responsibilities Design, develop, train, and deploy machine learning and Generative AI models for real-world business use cases includ...

The Applied Machine Learning Specialist will be responsible for researching, designing, and deploying advanced machine learning and deep learning models that address real-world challenges and drive innovation across products and services. The role focuses on optimizing neural network architectures, building intelligent systems, and developing scalable solutions in areas such as Natural Language Processing (NLP), neural network efficiency, and model automation. The specialist will collaborate closely with cross-functional teams, including researchers and engineers, to transform cutting-edge AI research into production-ready applications. Duties & Responsibilities: Research and Model Optimizat...

As a Senior Software Development Engineer at Adobe, you will lead crafting, developing, and deploying scalable software solutions that use modern Generative AI (GenAI) models and infrastructure. This position combines classic senior software engineering skills with advanced AI/ML methods, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic systems! Key Responsibilities: - Design & Development: Architect and implement scalable GenAI agents, applications, and microservices using modern protocols and standard processes. - AI Integration: Collaborate with AI scientists and data engineers to integrate machine learning models, such as LLMs and multi-modal AI, ...

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...

Description Are you passionate about bringing state of the art AI technology to edge devices Join Amazon's Device OS organization, where we're revolutionizing how AI powers everyday devices. We're seeking exceptional Senior Software Development Engineers who can help us push the boundaries of edge computing and artificial intelligence. This is your chance to shape the future of AI-enabled devices that impact millions of customers worldwide. Key job responsibilities As a Sr. Software Development Engineer, you will conceive, design and deliver innovative features for Amazon devices. You will be responsible for architecting and developing software solutions for new confidential products. . Inve...

MLOps Role 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 dep...

MLOps Role 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 dep...

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...

About The Opportunity We are hiring within the technology services and enterprise software sector, focused on data science, AI/ML-driven product engineering, and digital transformation for customers across finance, retail, and SaaS domains. This role sits at the intersection of advanced analytics, production ML, and business impact delivery. Orbion Infotech is seeking an experienced Senior Data Scientist to join our Bangalore on-site team. The ideal candidate will lead end-to-end analytics and ML projectstransforming data into production-grade models that deliver measurable outcomes. Role & Responsibilities Lead design, development and production deployment of predictive and prescriptive ML ...

Role Overview: As an AI Engineer at Innover, you will play a crucial role in building and deploying next-generation AI applications leveraging Generative AI and Agentic AI systems. Your responsibilities will involve designing and orchestrating AI-powered workflows, collaborating with clients, and deploying scalable AI solutions. This role is ideal for someone with a strong foundation in Data Science and hands-on experience in building intelligent models for production. Key Responsibilities: - Design and build GenAI-powered applications using LLMs (e.g., GPT, Claude, LLaMA, Mistral) for tasks like summarization, Q&A, document parsing, and chatbots. - Orchestrate agentic workflows using framew...

As a Senior Data Scientist (Team Lead) at CereBulb in Gandhinagar, your role will involve leading data science initiatives, designing analytical models, and optimizing processes using advanced methods. Your core responsibilities will include analyzing large datasets, building predictive models, generating insights through data visualization, and collaborating across teams to solve business problems. Additionally, you will be expected to mentor team members and contribute to the development of scalable data-driven strategies. **Key Responsibilities:** - Lead data science initiatives and design analytical models - Analyze large datasets and build predictive models - Generate insights through d...

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...

Senior ML Engineer Experience: 4+ years | Location: Bengaluru (Hybrid) Akaike Technologies is a dynamic and innovative AI-driven company dedicated to building impactful solutions. Our mission is to empower businesses by harnessing the power of data and AI to drive growth, efficiency, and value. We foster a culture of collaboration, creativity, and continuous learning. Job Description: Focus on PySpark, Databricks & Real-time ML Pipelines We are seeking an experienced and highly skilled Senior Data Scientist to join our team in Bengaluru. This role focuses on driving innovative, large-scale solutions using cutting-edge Classical Machine Learning, PySpark , Spark SQL , and Generative AI. The i...

Position : Senior AI/ML Engineer (Only Immediate Joiner) Experience : 4 to 7 years Location : Bangalore (Marathahalli) Education : BE / M.Tech Job Type : On Role (Full Time) Shift : 9.30 am to 6.30 pm (5 days working) Job Description We are looking for an experienced Senior AI/ML Engineer who can design and deliver end-to-end AI solutions and lead technical implementation for enterprise-grade applications. The role involves building LLM-based systems, agentic AI workflows, NLP/OCR pipelines, RAG architectures and deploying scalable AI models on cloud. You will work closely with cross-functional teams to translate business workflows into AI automations, lead feature delivery and mentor junior...