471 Model Deployment Jobs - Page 9

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...

Job Description: Data Scientist (Intern) Position Overview: As a Data Scientist, you will be responsible for analyzing and interpreting complex datasets to provide valuable insights and solve challenging business problems. You will work closely with cross-functional teams to gather data, build predictive models, develop algorithms, and deliver data-driven solutions. This position is ideal for a fresher who possesses strong analytical skills, programming expertise, and a passion for working with data. Key Responsibilities: Data Collection and Preprocessing: Collect, clean, and preprocess large volumes of structured and unstructured data from various sources. Conduct data quality assessments a...

Experience : 5.00 + years Salary : INR 2500000-3500000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Office (Delhi) Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Aria Intelligent Solutions) (*Note: This is a requirement for one of Uplers client - Aria Intelligent Solutions) What do you need for this opportunity Must have skills required: Model Context Protocol (MCP), Multi-Agent Systems, Machine Learning Engineer, Model Deployment & Development, Python Aria Intelligent Solutions is Looking for: AI Engineer (Agentic AI) Location: Delhi/Kolkata Job Type: Full-time About The Role W...

You are a highly skilled AI/ML Architect with a strong foundation in Data Engineering and the proven ability to apply Design Thinking in solving complex business challenges. You will play a key role in shaping end-to-end AI/ML solutions from data architecture to model deployment, ensuring the design remains user-centric, scalable, and aligned with business objectives. Key Responsibilities: - Lead the architecture and design of AI/ML solutions across multiple business domains. - Collaborate with stakeholders to identify use cases and translate them into scalable, production-ready ML architectures. - Leverage design thinking methodologies to drive innovative and user-centric solution design. -...

Role Overview: As the Senior Engineering Head at the company, you will lead the end-to-end development of Generative AI products. Your main responsibilities will include ensuring scalability, performance, and innovation while fostering a high-performing engineering culture. Your expertise in AI/ML, distributed systems, cloud architectures, and modern software engineering practices, along with hands-on coding experience, will be crucial for success in this role. Key Responsibilities: - Define and execute the technology roadmap for Generative AI products in alignment with business goals. - Lead the development of AI-powered products, optimizing models for performance, scalability, and real-wor...

As a Principal Software Engineer at UKG, you will play a crucial role in designing, developing, and deploying advanced AI and generative AI-based products. You will have the opportunity to lead technical innovation, collaborate with cross-functional teams, and contribute to the development of impactful, high-scale SaaS products that serve enterprises globally. - Design, develop, and optimize high-quality code for complex software applications and systems, ensuring high standards of performance, scalability, and maintainability. Drive best practices in code quality, documentation, and test coverage. - Lead end-to-end development of generative AI solutions, from data collection and model train...

As a Machine Learning Engineer at PrashTech Solutions, you will play a crucial role in optimizing machine learning systems to enhance the accuracy of AI software's predictive automation capabilities. Your responsibilities will include consulting with managers to define machine learning objectives, designing machine learning systems and AI software for predictive automation, and applying appropriate ML algorithms and tools to transform data science prototypes. You will ensure accurate user recommendations, auto-tag images, convert text-to-speech, develop and deploy machine learning models for various applications, and build AI-driven chatbots using frameworks like Rasa, Dialogflow, or GPT-bas...

As a software engineer at Google, you will be involved in developing next-generation technologies that have a massive impact on how billions of users connect, explore, and interact with information. Your expertise will be required in areas such as information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. You will have the opportunity to work on critical projects essential to Google's needs, with the flexibility to switch teams and projects as both you and the business evolve. Google values versatility, leadership, and enthusiasm in engineers who are eag...

As a leading digital transformation firm with an 18-year legacy of excellence, Sundew is seeking an AI Engineer to contribute to designing, building, and deploying AI-driven solutions using ML frameworks, programming expertise, and cloud platforms to drive innovation and deliver transformative value to global clients. Key Responsibilities: - Develop and deploy machine learning and deep learning models. - Collaborate with data engineers to prepare and optimize datasets. - Build scalable model training and inference pipelines. - Evaluate and fine-tune model performance. - Integrate AI solutions into products and internal systems. - Stay updated with the latest AI research and tools. Required S...

As a Senior AI Computer Vision Engineer at Ezio Solution, you will play a crucial role in developing, optimizing, and deploying computer vision algorithms and AI models for various real-world applications. You will be working as a part of the AI team in a fast-growing AI solutions firm. Key Responsibilities: - Design, develop, and deploy computer vision models for tasks like object detection, tracking, classification, and recognition. - Collaborate with image/video datasets for annotation, preprocessing, and data augmentation for training purposes. - Research and implement cutting-edge models such as YOLO, Faster R-CNN, Mask R-CNN, Deep SORT, etc. - Build pipelines to process real-time video...

As a Senior Python Developer at the company, you will play a crucial role in designing, developing, and scaling backend systems and AI/ML solutions. Your expertise in Python development and AI/ML projects will be essential for this position. **Key Responsibilities:** - Develop and maintain Python APIs for AI/ML and backend systems. - Collaborate with frontend teams to integrate applications using React.js. - Architect and optimize workloads on AWS cloud services (SageMaker, Lambda, EC2, S3). - Deploy, monitor, and scale AI/ML models in production environments. - Maintain technical documentation, code quality, and best practices. - Mentor junior developers and assist in code reviews. **Qualif...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture. 5 years of experience building and deploying recommendation systems models (retrieval, prediction, ranking, embedding) in production and experience building architecture in different modeling domains. 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Preferred qualifications: Master's degree or PhD in Engineering, Computer Science, or a related techn...

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software development. 5 years of experience with ML design, ML architecture, and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Experience with Generative AI and AI Algorithms. Preferred qualifications: Experience in a specific ML domain relevant to the team's work, such as Natural Language Processing (NLP), Generative AI and Graph Neural Networks (GNNs). Experience with MLOps practices, including model monitoring, versioning and CI/CD pipelines for ML Experience in translating high-level business goals into concrete technical delivera...

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 in 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., selection making), Machine Learning (ML) infrastructure, or specialization in a ML related field. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred qu...