471 Model Deployment Jobs - Page 2

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...

We are looking for the right people people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Under general supervision, an Associate Data Scientist will perform basic data engineering, data modeling or model deployment. An Associate Data Scientist will learn to perform data engineering, including obtaining data from sources, performing simple data exploration, and data cleaning. Under guidance, this ro...

Roles & Responsibilities: Support end-to-end Anaplan implementation cycles across planning and forecasting processes. Build, enhance, and maintain Anaplan models to meet business planning requirements. Work within ERP-integrated environments such as SAP BPC, Pigment, DRM/DRG to ensure seamless data flow. Assist in requirement gathering, model design, testing, and deployment activities. Collaborate with technical and functional teams to ensure successful model rollout and sustainment. Prepare project documentation, model structures, and technical specifications as needed. Preferred Candidate Profile: 5+ years of experience with at least 2 full end-to-end Anaplan implementations. Strong unders...

Roles & Responsibilities: Support end-to-end Anaplan implementation cycles across planning and forecasting processes. Build, enhance, and maintain Anaplan models to meet business planning requirements. Work within ERP-integrated environments such as SAP BPC, Pigment, DRM/DRG to ensure seamless data flow. Assist in requirement gathering, model design, testing, and deployment activities. Collaborate with technical and functional teams to ensure successful model rollout and sustainment. Prepare project documentation, model structures, and technical specifications as needed. Preferred Candidate Profile: 5+ years of experience with at least 2 full end-to-end Anaplan implementations. Strong unders...

Roles & Responsibilities: Support end-to-end Anaplan implementation cycles across planning and forecasting processes. Build, enhance, and maintain Anaplan models to meet business planning requirements. Work within ERP-integrated environments such as SAP BPC, Pigment, DRM/DRG to ensure seamless data flow. Assist in requirement gathering, model design, testing, and deployment activities. Collaborate with technical and functional teams to ensure successful model rollout and sustainment. Prepare project documentation, model structures, and technical specifications as needed. Preferred Candidate Profile: 6+ years of experience with at least 2 full end-to-end Anaplan implementations. Strong unders...

As an Application Engineer at Tookitakis, you will be responsible for configuring the FinCense platform to meet client-specific requirements using your strong data science background and technical expertise in big data technologies. Your exceptional problem-solving skills will ensure successful client deployments and ongoing system performance. **Key Responsibilities:** - **Product Configuration and Customization** - Configure Tookitakis FinCense platform based on client-specific requirements and workflows. - Implement data science models, algorithms, and workflows tailored to client use cases. - Collaborate with Client Enablement and Deployment Engineers to align configurations with best pr...

As a Data Science Associate at Metyis, you will be responsible for executing data science projects from start to end. Your key responsibilities will include: - Understanding client business problems, defining analytical approaches, and developing actionable solutions. - Engaging directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. - Preprocessing and analyzing structured and unstructured data using statistical approaches. - Building and deploying predictive models, forecasting solutions, and recommendation systems. - Collaborating with engineering, product, and business teams to translate insights into outcomes. - Communicating results clearly...

As a talented and motivated Generative AI Data Scientist Lead at Accenture AI, you will be joining the Banking team to drive and lead the development & delivery of innovative solutions and enhance AI capabilities. You will collaborate with cross-functional teams to design, develop, and implement generative AI solutions that meet business needs. **Roles & Responsibilities:** - **Independent Project Leadership:** Take ownership of end-to-end project delivery, from problem definition to solution deployment, with minimal supervision. - **Pod Leadership:** Lead and mentor a small development pod (team) of data scientists and engineers, ensuring collaboration, innovation, and timely delivery of hi...

As a Python AI Developer with 12 years of experience, your role will involve developing AI/ML-based applications using Python programming. You will have the opportunity to work on a variety of tasks such as developing, testing, and deploying AI/ML models and algorithms. Your responsibilities will also include writing clean and efficient Python code, working on data preprocessing, feature engineering, and model optimization, as well as collaborating with data scientists, developers, and business teams to integrate AI solutions into products. Additionally, you will be expected to research and implement innovative AI techniques and frameworks, debug, maintain, and improve existing AI models and...

As a Senior Data Scientist with over 5 years of experience, you will have a significant impact on our team based in Indore/Pune. Your primary role will involve designing and implementing models, extracting insights from data, and interpreting complex data structures to support business decision-making. - Strong background in Machine Learning areas such as Natural Language Processing, Machine Vision, Time Series, etc. - Expertise in Model Tuning, Model Validation, Supervised and Unsupervised Learning - Hands-on experience with model development, data preparation, and deployment of models for training and inference - Proficiency in descriptive and inferential statistics, hypothesis testing, an...

As an AI/ML Engineer at our company, you will be responsible for the following: - Building and fine-tuning models for NLP, computer vision, predictions, and more. - Engineering intelligent pipelines that are used in production. - Collaborating across teams to bring AI solutions to life (not just in Jupyter Notebooks). - Embracing MLOps with tools like MLflow, Docker, and Kubernetes. - Staying on the AI cutting edge and sharing what you learn; a mentorship mindset is a big plus. - Championing code quality and contributing to a future-focused dev culture. Qualifications required for this role include: - 3-4 years of experience in hardcore AI/ML or applied data science. - Pro-level Python skill...

You are a highly skilled and experienced Solution Architect specializing in Data & AI, responsible for leading and driving data-driven transformation within the organization. Your role involves designing and implementing cutting-edge AI and data solutions that align with business objectives. You will collaborate closely with cross-functional teams to create scalable, high-performance architectures leveraging modern technologies in data engineering, machine learning, and cloud computing. Key Responsibilities: - Architect and design end-to-end data and AI solutions to address business challenges and optimize decision-making. - Define and implement best practices for data architecture, data gov...

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Adobe stands out as a to...

As a successful candidate for the role, you should possess the following attributes: - A Bachelor's, Master's or PhD degree in Computer Science, Machine Learning, Mathematics, or a similar field of study. - Preferably 7+ years AI/ML industry experience for Bachelors/Masters, 4+ years for PhD with a focus on Language Models. - Strong foundation in machine learning algorithms, including deep learning architectures (e.g., transformers, RNNs, CNNs). - Proficiency in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, scikit-learn. - Demonstrated expertise in GenAI techniques, including but not limited to Retrieval-Augmented Generation (RAG), model fin...

As an AI Engineer at UST, you will be a vital part of our team, contributing to the development and deployment of cutting-edge AI solutions. Your role will involve collaborating with AI Architects, Data Scientists, and delivery teams to bring innovative AI concepts to life. **Key Responsibilities:** - **Model Development & Implementation:** Design, develop, and implement machine learning models and AI algorithms from prototyping to production deployment. - **Data Engineering:** Work with large and complex datasets, performing data cleaning, feature engineering, and data pipeline development for AI model training. - **Solution Integration:** Integrate AI models into existing enterprise system...

Role Overview: You are a highly motivated and experienced AI/ML Developer with a minimum of 2 years of experience. Your primary responsibility will be to design and develop scalable AI/ML models and algorithms. You will collaborate with cross-functional teams to integrate ML solutions into products and analyze large datasets to extract meaningful insights. Continuous monitoring and optimization of existing models for performance improvement will also be part of your role. Staying updated with the latest research and advancements in AI/ML is essential to excel in this challenging and rewarding night shift environment. Key Responsibilities: - Design and develop scalable AI/ML models and algori...

Role Overview: You will be responsible for utilizing your expertise in data analysis and machine learning to extract valuable insights from complex datasets. Your tasks will involve exploring and analyzing large datasets, building and fine-tuning machine learning models, and communicating findings to stakeholders effectively. Working closely with cross-functional teams, you will identify business opportunities and develop data-driven solutions to address key challenges. Staying updated with the latest trends in data science and contributing to process improvement within the organization will be essential for success in this role. Key Responsibilities: - Utilize your expertise in data analysi...

Job Description We are looking for a Machine Learning Engineer who will work on a broad range of cutting-edge data analytics and machine learning problems across a variety of industries. More specifically, you will . Engage with clients to understand their business context. . Translate business problems and technical constraints into technical requirements for the desired analytics solution. . Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes. What do we expect . 5+ years of experience with at least 3+ years of relevant MLOps experience . Proficient in a structured Python . Proficient in any one of cloud technologies is ma...

We are seeking a skilled AI Engineer with 47 years of hands-on experience in designing, developing, and deploying AI/ML models The ideal candidate must have strong practical exposure to Large Language Models (LLMs), machine learning frameworks, and end-to-end model development The role involves building scalable AI-driven solutions, optimizing model performance, integrating intelligence into applications, and collaborating with data and engineering teams to drive automation and innovation The candidate should possess strong problem-solving skills, experience working with modern AI/ML pipelines, and a solid foundation in deploying models into production environments This is a full-time, perma...

In this role at EY GDS as a Senior Data Scientist focusing on Data and Analytics (D&A) with a specialization in MLOps, you will be responsible for leveraging your expertise in Data Science and Machine Learning (ML) to contribute to the development and implementation of cutting-edge AI solutions. Your role will involve working on NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture, where your technical skills and experience will be crucial. **Key Responsibilities:** - Design and implement AI models and systems using your deep understanding of AI technologies. - Contribute to the development and implementation of AI solutions leveraging your expertise in data...

Use Your Power for Purpose At Pfizer, the impact of technology resonates through every facet of our operations, driving a transformative digital and data first approach. Across all functionsfrom groundbreaking research to efficient manufacturingwe embrace innovative solutions that empower us to enhance every aspect of drug discovery and development. Your efforts in building robust, reusable AI Solutions and empowering development teams streamline processes, making our work not only faster but easier. In doing so, you contribute significantly to a mission that transcends mere efficiency; you become a vital part of saving countless lives. As a Staff Software Engineer, you will be reporting to ...

We are hiring Machine Learning Engineer with strong Python &ML model-building skills to design,develop, &deploy end-to-end ML pipelines.The role includes data processing, model training,production integration, &ongoing model performance monitoring. Provident fund

As a ML Engineer at ClearTrail, you will be responsible for developing and implementing end-to-end machine learning pipelines for various analytics problems. You will utilize your expertise in machine learning (ML) and Large Language Models (LLM) to tackle challenges using cutting-edge language models. Additionally, you will stay updated with the latest advancements in the field of Artificial Intelligence through continuous research and innovation. Key Responsibilities: - Develop and implement end-to-end machine learning pipelines for a diverse range of analytics problems, including model development and refinement. - Communicate results effectively to a varied audience with technical and no...

You are excited about building cutting-edge AI systems that revolutionize how cloud infrastructure is run at Oracle Cloud Infrastructure (OCI). As an ML Engineer, you will play a crucial role in driving the transformation of cloud operations for enterprise success. **Role Overview:** - Lead AI Agent Development: Drive the end-to-end design and development of AI agents tailored for cloud operations, ensuring scalability, reliability, and alignment with customer needs. - Architect and implement tools and frameworks to accelerate AI agent development, experimentation, deployment, and monitoring. - Design and execute robust methodologies to evaluate agent performance, safety, and accuracy across...

Role Overview: You will play a vital role in spearheading the strategic vision and advancement of cutting-edge machine learning models and algorithms to tackle complex challenges. Collaborating closely with data scientists, software engineers, and product teams, you will utilize innovative AI/ML solutions to enhance services. Your primary responsibilities will include constructing scalable ML pipelines, ensuring data accuracy, and deploying models in production environments to extract valuable business insights and elevate customer experiences. Key Responsibilities: - Define and execute the strategic vision for machine learning initiatives organization-wide. - Lead the development and optimi...