335 Model Deployment Jobs - Page 6

Key Responsibilities Lead the design, development, and implementation of enterprise-scale AI/ML solutions optimized for real-world applications. Collaborate with cross-functional teams to identify business requirements and translate them into robust AI/ML strategies. Develop and optimize generative AI solutions using tools and frameworks such as LangChain, LangSmith, LlamaIndex, MCP, Semantic Kernel, Autogen, and Agents. Utilize Python along with frameworks such as PyTorch and TensorFlow to build sophisticated machine learning models and algorithms. Conduct analysis of data and identify trends, providing actionable insights to stakeholders. Mentor and guide junior data scientists, promoting ...

Are you excited about building cutting-edge AI systems that revolutionize how cloud infrastructure is run At Oracle Cloud Infrastructure (OCI), we're reimagining operations for the enterprise cloudand we're looking for ML Engineers to drive this transformation. OCI is a hyperscale cloud platform where operations are core to customer success. For OCI to scale and remain competitive, we need automate incident detection, diagnosis, and resolutionpushing the limits of AI and GenAI in cloud operations. Join us to build intelligent AI solutions that proactively manage cloud environments, boost operational excellence, and deliver a world-class customer experience. If you're passionate about solving...

As a data science expert, you will be responsible for developing strategies and solutions to address various problems using cutting-edge machine learning, deep learning, and GEN AI techniques. Your role will involve leading a team of data scientists to ensure timely and high-quality delivery of project outcomes. You will analyze large and complex datasets across different domains, perform exploratory data analysis, and select features to build and optimize classifiers and regressors. - Developing strategies and solutions using machine learning, deep learning, and GEN AI techniques - Leading a team of data scientists for timely and high-quality project outcomes - Analyzing large and complex d...

Role Overview: You will be part of the Oracle Cloud Infrastructure (OCI) team, reimagining operations for the enterprise cloud by building cutting-edge AI systems. As an ML Engineer, you will drive the transformation of cloud operations by developing intelligent AI solutions that proactively manage cloud environments, boost operational excellence, and enhance the customer experience. Key Responsibilities: - Lead the 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 robust methodolog...

Role Overview: You will be responsible for developing machine learning models by designing, building, and evaluating both supervised and unsupervised models like regression, classification, clustering, and recommendation systems. This includes performing feature engineering, model tuning, and validation through cross-validation and various performance metrics. Your duties will also involve preparing and analyzing data by cleaning, preprocessing, and transforming large datasets sourced from different channels. You will conduct exploratory data analysis (EDA) to reveal patterns and gain insights from the data. In addition, you will deploy machine learning models into production using tools lik...

Role Overview: You will be responsible for developing and implementing predictive models and machine learning algorithms to address logistics-related challenges like demand forecasting, route optimization, inventory prediction, and shipment delay analysis. This involves analyzing large volumes of structured and unstructured logistics data from systems like TMS (Transportation Management Systems), WMS (Warehouse Management Systems), and ERP platforms. Key Responsibilities: - Designing and maintaining dashboards and visualizations to monitor supply chain KPIs, operational performance, and model outputs using tools such as Power BI, Tableau, or similar platforms. - Collaborating with logistics,...

As an AI/ML Developer, you will be a highly motivated and experienced professional 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 a...

**Job Description:** As a Data Scientist II, you will utilize your expertise in data analysis and machine learning to extract valuable insights from complex datasets. You will be involved in all stages of the data science lifecycle, from data collection and preprocessing to model development and deployment. **Key Responsibilities:** - Explore and analyze large datasets - Build and fine-tune machine learning models - Communicate findings to stakeholders in a clear and concise manner - Work closely with cross-functional teams to identify business opportunities - Develop data-driven solutions to address key challenges **Qualifications Required:** - Strong analytical skills - Attention to detail...

**Job Description:** **Role Overview:** As an AI Engineer at our company, you will be a crucial part of our team, contributing significantly to the development and implementation of advanced AI solutions. You will work alongside AI Architects, Data Scientists, and delivery teams to bring cutting-edge AI concepts to fruition. **Key Responsibilities:** - **Model Development & Implementation:** - Design, develop, and implement machine learning models and AI algorithms, starting from prototyping to deployment in production. - **Data Engineering:** - Handle large and complex datasets, perform data cleaning, feature engineering, and develop data pipelines to prepare data for AI model training. - *...

As a Senior Data Scientist at AryaXAI, you will have the opportunity to work on cutting-edge AI innovations for highly regulated industries, with a focus on building explainable, safe, and aligned systems that scale responsibly. You will be part of a team that values collaboration, innovation, and excellence, contributing to mission-critical projects in the financial services industry and beyond. **Key Responsibilities:** - **Model Evaluation & Customization:** Lead the evaluation and customization of AI models to ensure explainability and compliance. - **Architectural Assessment:** Conduct assessments of AI architecture to meet the requirements of regulated environments. - **Enterprise Inte...

Contract Duration: 1 Year (Till 31-Dec-2025) Working Hours: 1 PM IST to 10 PM IST (45 Hours/Week) Contact: +91 90329 56160 (Contract Role | Must pass Python coding test) Primary Skills Python, Azure, GenAI, LLM, NLP, CI/CD, AI, Model Deployment, Document Processing, POC Development Key Responsibilities Develop and deploy AI solutions using Python in cloud-based environments (preferably Azure) Design and implement use cases involving LLMs, document extraction, and processing Build integrations with existing enterprise systems and investment platforms Work closely with business/investment professionals to translate requirements into AI/ML solutions Develop scalable and efficient AI/ML models w...

You will play a crucial role as the Data Science Lead in our Data Science Center of Excellence (CoE). Your main responsibilities will include: - Serving as the technical and strategic lead for the Data Science CoE. - Partnering with business leaders to identify use cases, assess feasibility, and define measurable outcomes. - Designing end-to-end data science solutions from problem framing and data exploration to model development and deployment. - Building and mentoring a team of data scientists as the CoE scales. - Promoting best practices in experimentation, model development, versioning, documentation, and governance. - Collaborating closely with engineering and data platform teams for sc...

Role Overview: At Oracle Cloud Infrastructure (OCI), we are on a mission to revolutionize cloud infrastructure operations by leveraging cutting-edge AI systems. As an ML Engineer, you will play a crucial role in driving the transformation of cloud operations at OCI. Your primary responsibility will be to develop intelligent AI solutions that proactively manage cloud environments, enhance operational excellence, and elevate the overall customer experience. This is a unique opportunity for you to tackle deep technical challenges and contribute to shaping the future of autonomous cloud technology. Key Responsibilities: - Lead AI Agent Development: Take charge of designing and developing AI agen...

Role Overview: As a Machine Learning Engineer at ClearTrail, you will be part of a team dedicated to developing solutions that empower law enforcement and federal agencies globally to keep their people, places, and communities safe. With over 21 years of experience in safeguarding nations and enriching lives, ClearTrail is leading the way in the future of intelligence gathering through artificial intelligence and machine learning-based lawful interception & communication analytics solutions. Your role will involve developing end-to-end machine learning pipelines for a variety of analytics problems, refining models, and implementing solutions. You will be responsible for communicating results...

As a Data Science Associate at Metyis in Gurgaon, India, you will be part of a global and forward-thinking firm operating across various industries, developing AI & Data, Digital Commerce, Marketing & Design solutions, and Advisory services. Your role will involve executing data science projects, understanding client business problems, and developing actionable solutions. You will collaborate with stakeholders, preprocess and analyze structured and unstructured data, build predictive models, and deploy forecasting solutions and recommendation systems. Additionally, you will work with engineering, product, and business teams to translate insights into outcomes and communicate results clearly ...

At Oracle Cloud Infrastructure (OCI) , we're reimagining how enterprise cloud operations work-and we want you to be part of it. OCI is a hyperscale cloud platform where operations are central to customer success. To scale and stay ahead, we're automating incident detection, diagnosis, and resolution -pushing the boundaries of AI and GenAI in cloud operations. As a Senior ML Engineer , you'll design and build intelligent AI solutions that proactively manage cloud environments, enhance operational excellence, and deliver world-class customer experiences. If you're passionate about solving complex technical challenges and shaping the future of the autonomous cloud, this is your moment. Key Resp...

Role Overview: You will play a critical role in establishing and leading a centralized operations function for PepsiCo's Gen-AI platforms, such as PepGenX and Agent Factory. Your main objective will be to ensure platform reliability, incident management, vendor performance, and operational excellence across all sectors. This includes overseeing 24x7 monitoring, ServiceNow-based workflow automation, and cloud FinOps to sustain enterprise-scale AI adoption. Collaboration with engineering, product, and vendor teams will be essential to maintain high availability, security, and performance at scale. Key Responsibilities: - Manage 24x7 uptime and incident management through a dedicated Gen-AI Com...

At Oracle Cloud Infrastructure (OCI) , we're reimagining how enterprise cloud operations work-and we want you to be part of it. OCI is a hyperscale cloud platform where operations are central to customer success. To scale and stay ahead, we're automating incident detection, diagnosis, and resolution -pushing the boundaries of AI and GenAI in cloud operations. As an ML Engineer , you'll design and build intelligent AI solutions that proactively manage cloud environments, enhance operational excellence, and deliver world-class customer experiences. If you're passionate about solving complex technical challenges and shaping the future of the autonomous cloud, this is your moment. Key Responsibi...

As a Machine Learning Developer at EY GDS Assurance Digital, you will have the opportunity to leverage advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. Your primary responsibility will be to help EY's sector and service line professionals by developing analytics-enabled solutions, integrating data science activities with business-relevant aspects to gain insights from data. This full-time role entails building and deploying robust machine learning models to solve real-world business problems, involving the entire ML lifecycle from data analysis and feature engineering to model training, eval...

Job Profile:- Looking for 3-6 years of experience in AI/ML * Knowledge on AI/ML * Understanding of AI concepts, including machine learning, deep learning, NLP * Good understanding of Python, Pytorch, NumPy, TensorFlow, Pandas * Experience in SQL and database management * Experience working with Git, Jira * Strong communication and problem-solving skills We are seeking a skilled and motivated Artificial Intelligence/Machine Learning Engineer (AI/ML) to develop and deploy machine learning models and algorithms. And also preprocessing data to prepare it for analysis and model training. Key Skills: AI/ML, Python, Pytorch, NumPy, TensorFlow, Pandas, SQL Database

Gen AI Application Development, Multi-Agent & Rules-Based AI Implementation , Model Deployment & API Integration,Python Competent: 5 to 10 Years Proficient: 5+ Years

Senior AI Data Scientist (6+ years) Location: Mumbai • Work Type: Onsite • Team: Data & AI • Reporting to: CTO Company: Brandbuddiez About the Role Were looking for a hands-on Senior AI Data Scientist to lead endtoend development of ML/AI solutionsfrom problem framing and data strategy to model deployment and measurable business impact. Youll partner with engineering, product, and business stakeholders to ship reliable models in production and mentor a small team. What Youll Do Own the full ML lifecycle for 12 highimpact problem areas (discovery delivery iteration). Translate ambiguous business problems into testable hypotheses and modelable objectives. Design, train, evaluate, and ship mode...

Job Description: You will be responsible for developing, implementing, and maintaining an advanced machine learning-based monitoring platform with cutting-edge big data capability. Your role will involve building scalable monitoring pipelines, ensuring data quality, and fixing issues in production environments to drive business insights and improve customer experiences. Key Responsibilities: - Develop and optimize machine learning models for various applications. - Preprocess and analyze large datasets to extract meaningful insights. - Deploy ML solutions into production environments using appropriate tools and frameworks. - Collaborate with cross-functional teams to integrate ML models into...

Role Overview: You will be a C14 (People Manager) in the Citi Analytics & Information Management (AIM) team located in Pune, India. Reporting to the Director/Managing Director, AIM, you will lead a team of 15+ data scientists within the Financial Crimes & Fraud Prevention Analytics modelling team. Your primary focus will be on developing and implementing Machine Learning (ML) /AI/Gen AI models to mitigate fraud losses, analyze transaction data, and minimize customer impact while working on different platforms. Key Responsibilities: - Lead and manage a team of data scientists to develop and implement ML /AI/Gen AI models on various platforms - Provide technical leadership, mentorship, and gui...

Role Overview: QuillBot is seeking a hands-on Machine Learning Operation Manager to lead and scale the AI Engineering & MLOps function. This role involves a combination of deep technical execution (60%) and team collaboration (40%), making it ideal for individuals who excel in both individual contributions and strategic leadership. You will collaborate closely with Research, Platform, Infra, and Product teams to ensure the reliable deployment of models and drive innovation in AI at QuillBot. Key Responsibilities: - Own the full ML lifecycle, encompassing training infrastructure, experiment tracking, deployment, observability, and optimization. - Collaborate with researchers to streamline tra...