334 Model Deployment Jobs - Page 3

As a Senior AI Engineer at VectorStack, you will be responsible for designing, developing, and deploying advanced AI and machine learning models with a strong focus on predictive modeling and time series forecasting. Your role will involve collaborating closely with cross-functional teams to understand client requirements and translate business needs into scalable technical solutions. Leveraging your proficiency in Python with advanced knowledge of libraries and frameworks, you will be expected to deliver accurate insights and inform business and technical decision-making processes. **Key Responsibilities:** - Design, develop, and deploy advanced AI and machine learning models focusing on pr...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages. 3 years of experience with ML infrastructure (e.g., model deployment, evaluation, optimization, data processing, debugging). 5 years of experience with ML infrastructure, applied ML/AI algorithms, LLMs/multimodal foundation models, and NLP and working with C++/ Python. 5 years of experience with Speech/audio, reinforcement learning, ML infrastructure or specializing in another ML field. Preferred qualifications: 8 years of experience with data structure/algorithms. 5 years of experience testing, maintaining, or launching software ...

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation - helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.?? Siemens Digital Industries Software is seeking a skilled Data Scientist with expertise in Artificial Intelligence (AI), AI Agent development, and hands-on experience using RapidMiner to drive tra...

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we'll give you what you need to make it happen. It won't always be easy, growing takes grit. But at ABB, you'll never run alone. Run what runs the world. This Position reports to: MODP Division IS Manager What We Believe In ABB Drive Products serves the industries and infrastructure segments with world-class drives and programmable logic controllers (PLC). With its products, global scale and local presence, the Division helps customers to improve energy efficiency, productivity and safety. Your Role And Responsibilities The Data & AI Archite...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software engineering, with experience in applying AI/ML techniques to real-world problems. 5 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). 5 years of experience testing, and launching software products. 5 years of experience leading the Machine Learning (ML) design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 3 years of experience with software design and architecture. Preferred qualifications: Master's degre...

In this role at Unlox Academy, you will be part of a visionary team that is revolutionizing the learning landscape with personalized, AI-driven education experiences. As an AI Intern, your primary responsibility will be to build and optimize AI-powered learning agents using Large Language Models (LLMs) to elevate the overall learning experience for students. This position offers a valuable opportunity to acquire practical experience in a dynamic startup setting focused on AI for education. Key Responsibilities: - Collaborate with the AI team to develop and enhance LLM-based AI agents for various learning aspects at Unlox Academy. - Aid in creating AI-driven solutions for personalized learnin...

Treelife Consulting is looking for AI Enabler to join our dynamic team and embark on a rewarding career journey. AI Enabler is responsible for driving excellence within their function by managing end - to - end operational, technical, and analytical aspects of the role. They will develop and implement process improvements, coordinate with cross - functional teams, ensure compliance with organizational standards, and apply domain expertise to achieve key business objectives. Responsibilities include identifying opportunities for innovation, supporting data - driven decision - making, and maintaining high standards of quality and efficiency across all assigned tasks. They are also expected to ...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 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. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qu...

Role Overview: As a Senior Data Scientist specializing in Statistical Analysis, your primary responsibility will be to develop effective and high-quality analytics solutions that align with business requirements. Leveraging your deep understanding of statistics and mathematics, along with a solid domain expertise, you will be instrumental in crafting pre-built business solutions to tackle specific challenges. Additionally, you will play a crucial role in providing technical consultation to both existing and potential clients throughout various stages of the program, contributing to proposals and pre-sales activities. Key Responsibilities: - Systematically Develop and Maintain Offerings: - Pr...

You will be joining ClearTrail as a ML Engineer with 6-10 years of experience in Machine Learning and LLM skill set. ClearTrail is focused on developing solutions to empower those dedicated to ensuring the safety of people, places, and communities globally. With over 23 years of experience, ClearTrail has been a trusted partner of law enforcement and federal agencies worldwide, actively contributing to safeguarding nations and enriching lives. ClearTrail is at the forefront of intelligence gathering, utilizing artificial intelligence and machine learning based lawful interception & communication analytics solutions to address some of the world's most complex challenges. - Develop an end-to-e...

As a Full-Stack AI Developer specializing in Generative AI and Large Language Models (LLMs), you are responsible for designing and developing AI-driven applications. Your role entails leveraging comprehensive full-stack skills, encompassing front-end design, backend AI model training and deployment, and scalable infrastructure management. Key Responsibilities: - Create intuitive and user-friendly interfaces for AI-powered applications. - Utilize modern web frameworks like React and Vue.js to develop responsive UI/UX. - Optimize front-end performance and ensure cross-browser compatibility. - Develop robust and scalable backend systems for AI model deployment. - Design and maintain RESTful API...

As an Azure AI Engineer at Fulcrum Digital, you will play a crucial role in designing, building, and deploying intelligent applications and solutions using Microsoft Azure AI services. Your primary focus will be on utilizing Azure's AI and Machine Learning capabilities to solve real-world problems. **Key Responsibilities:** - Designing and developing AI solutions by utilizing Azure Cognitive Services, Azure Machine Learning, Azure OpenAI, and other Azure-based tools. - Implementing and deploying machine learning models, NLP models, and computer vision solutions in a scalable and secure Azure environment. - Collaborating with data scientists, software developers, and DevOps teams to seamlessl...

Role Overview: As an Experienced Data Scientist at the company, you will be focused on developing and implementing Generative AI solutions to tackle critical business challenges and discover new opportunities. Your expertise in data science, machine learning, and Generative AI techniques will be vital in driving impactful projects from inception to implementation. Key Responsibilities: - Data Handling & Preparation: - Work with diverse and large-scale datasets. - Perform data cleaning, preprocessing, and feature engineering. - Create synthetic datasets for training and evaluating Generative AI models. - Maintain data quality and integrity throughout the model development process. - Model Opt...

Key Responsibilities : Design and implement end-to-end data pipelines for training and fine-tuning LLMs, including dataset creation, cleaning, augmentation, and labeling workflows. Apply advanced RAG techniques, prompt engineering, and model fine-tuning (LoRA, PEFT, adapters) for domain-specific use cases. Integrate AI models with backend and frontend systems via APIs, batching, caching, and streaming responses. Deploy and optimize LLMs & embeddings using APIs and/or open-source models (OpenAI, Anthropic, LLaMA-family, Mistral, etc.). Develop and maintain secure AI APIs using FastAPI/gRPC with Kubernetes and CI/CD pipelines. Implement safety and compliance layers including prompt injection d...

Role Overview: As a Machine Learning Operations Engineer, your primary responsibility will be to design and implement automated machine learning pipelines for data processing, model training, and deployment. You will collaborate with data scientists and ML engineers to ensure smooth integration of models into the production environment. Additionally, you will develop and maintain cloud infrastructure on Azure for machine learning models in production, monitor and optimize models for scalability and performance, and implement continuous integration and delivery pipelines. Key Responsibilities: - Design and implement automated machine learning pipelines for data processing, model training, and...

As a Data Scientist at Lifease Solutions LLP, your main responsibility will be to develop machine learning and deep learning models for predicting match scores & outcomes, team & player performances, and statistics. You will also be involved in in-depth cricket analytics to analyze player form, team strengths, matchups, and opposition weaknesses. Additionally, you will work on data processing & engineering tasks, model deployment & MLOps, and performance metrics & model explainability. Key Responsibilities: - Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. - Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) fo...

In the role of Machine Learning Engineer at Tally, you will be part of the AI team working on developing and optimizing complex machine learning systems. Your responsibilities will include integrating large language models (LLMs) into AI-driven solutions, ensuring their performance and scalability. Collaborating with different teams, you will lead the development of machine learning models and provide technical guidance to junior engineers. Your contributions will play a key role in advancing technology solutions for global prosperity. Key Responsibilities: - Lead the development of machine learning models, focusing on integrating advanced models like LLMs and optimizing them for performance...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 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). Experience in Artificial Intelligence, Software Engineering, Machine Learning, Data Analysis. Preferred q...

Minimum qualifications: Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. 8 years of experience in leading Machine Learning (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; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. Preferred qualifications: Experience in managing a team of ML Engineers. Experience in machine learning, deep learning, and AI development, with building and deploying production-level models and ML-Infrastructure. Experience in lea...

Senior ML Engineer (ML Ops) Chennai / Bangalore / Hyderabad Who we are Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance...

Description Hardware Silicon and Systems Group leads the development and optimization of on-device ML models for Amazon's hardware products, including audio, vision, and multi-modal AI features. We work at the critical intersection of ML innovation and silicon design, ensuring AI capabilities can run efficiently on resource-constrained devices. Currently, we enable production ML models across multiple device families, including Echo, Ring/Blink, and other consumer devices. Our work directly impacts Amazon's customer experiences in consumer AI device market. The solutions we develop determine which AI features can be offered on-device versus requiring cloud connectivity, ultimately shaping pr...

As an AI Engineer at our company, your role will involve designing, deploying, and scaling AI solutions across various domains. You should possess a combination of machine learning expertise, software engineering skills, client-facing experience, and the ability to collaborate effectively with teammates. Even with less than 2 years of industry experience, you should be able to excel in this role. **Key Responsibilities:** - Develop and deploy AI/ML pipelines for predictive analytics, classification, and recommendation systems. - Implement scalable AI solutions using cloud platforms such as AWS, GCP, or Azure and MLOps tools. - Apply SOLID principles to build robust, maintainable, and scalabl...

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Bengaluru, Karnataka, India . Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience with design and architecture; and testing/launching software products. 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 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. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qu...

About Tavant With 25+ years of experience building innovative digital products and solutions, Tavant provides impactful results to its customers. It has been the frontrunner in driving digital innovation and tech-enabled transformation across a wide range of industries such as Consumer Lending, Manufacturing, Agtech, Media & Entertainment, and Retail in North America, Europe, and Asia-Pacific. Powered by Artificial Intelligence and Machine Learning algorithms, we help our customers improve their operational efficiency, productivity, speed, and accuracy. Our suite of products and solutions are routinely rated high by the industry. Ours is a challenging workplace where teams are diverse, compe...