471 Model Deployment Jobs - Page 12

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...

Role: Generative AI (Gen AI) Trainer Location: Hyderabad (On-Site) Employment Type: Full-Time Experience: Minimum 2 years of experience in AI/ML training or industry projects involving Generative AI Job Summary KIT Skill Hub is seeking a passionate and experienced Generative AI Trainer to deliver high-quality, industry-relevant training programs. The ideal candidate will have a strong command of modern AI/ML concepts, hands-on expertise with Generative AI frameworks and Large Language Models (LLMs), and the ability to guide learners through practical, real-world projects. Key Responsibilities Curriculum Design & Delivery : Develop and deliver comprehensive training modules on Generative AI, ...

Job Application Link:https://app.fabrichq.ai/jobs/2038ab65-2dc1-4573-8305-17df6bce4202 Job Summary: Lead Engineer-AI/ML responsible for designing, developing, and deploying advanced AI models with a focus on generative AI, including transformer architectures. The role involves working with complex datasets, collaborating with cross-functional teams, and implementing AI models in production environments. The position requires expertise in machine learning, generative AI techniques, and MLOps practices. Key Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures Work with extensive and complex datasets, performing tasks...

Role Overview: The Data & Analytics team at the leading financial institution in MENA is responsible for integrating new data sources, creating data models, developing data dictionaries, and building machine learning models for Wholesale Bank. The primary objective is to design and deliver data products that assist squads at Wholesale Bank in achieving business outcomes and generating valuable business insights. Within this job family, there are two roles - Data Analysts and Data Scientists. Both roles involve working with data, writing queries, collaborating with engineering teams to source relevant data, performing data munging, and extracting meaningful insights from the data. Data Analys...

As a potential candidate for this position, you will be responsible for contributing to cutting-edge AI/ML solutions at Goldman Sachs. Here is a breakdown of the qualifications and attributes you should possess: - A Bachelor's, Master's or PhD degree in Computer Science, Machine Learning, Mathematics, or a related field is required. - Preferably 7+ years of 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 like transformers, RNNs, CNNs. - Proficiency in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, sciki...

Description We are seeking an AI/ML Engineer to join our team in Chennai. The ideal candidate will have a strong background in artificial intelligence and machine learning, with a passion for developing innovative solutions. This role involves working with data, designing models, and collaborating with various teams to drive the implementation of AI/ML projects. Responsibilities Design, develop, and implement AI/ML models and algorithms to solve complex problems. Collaborate with cross-functional teams to gather requirements and deliver effective solutions. Analyze and preprocess data to ensure high-quality inputs for machine learning models. Conduct experiments and tests to validate model p...

As a Data Scientist Engineer, your role involves designing scalable machine learning architectures and implementing data science solutions for complex business problems. You will be responsible for key tasks such as model development, data preprocessing, model training, evaluation & optimization, model deployment, cross-functional collaboration, research & innovation, and documentation. Key Responsibilities: - Design and implement machine learning models to address business challenges effectively. - Clean, preprocess, and analyze large-scale datasets for extracting insights and engineering model features. - Train and fine-tune ML models using deep learning, regression, classification, and en...

As a Data Science and AI / ML professional at LTIMindtree, you will play a crucial role in leveraging digital technologies to drive innovation and growth for our clients. With over 6 years of experience in the field, you will be expected to have a deep understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Your expertise in data frameworks like Hadoop, business intelligence tools like Tableau, and Cloud native skills will be essential in delivering superior business outcomes. Key Responsibilities: - Utilize your knowledge of SQL and Python, with familiarity in Scala, Java, or C++ as an asset, to develop innovative A...

As a recent PhD graduate in Computer Science, Machine Learning, AI, or a related field, you have the opportunity to join a cutting-edge team that focuses on pushing the boundaries of machine learning in a dynamic industry setting. In this role, you will work on complex challenges related to large language models (LLMs), optical character recognition (OCR), and model scaling. **Key Responsibilities:** - Lead research initiatives to enhance OCR accuracy across various document types and languages. - Train and fine-tune LLMs using domain-specific data to improve performance in specialized contexts. - Develop efficient techniques to scale LLMs for high-volume production environments. - Design an...

You will be responsible for the following key roles: - AI/ML Developer (2-3 years experience): - Develop, fine-tune, and deploy AI/ML models. - Senior AI/ML Developer (5-7 years experience): - Lead AI/ML projects, optimize large-scale models, and mentor junior developers. Qualifications required for the role include: - B.Tech / M.Tech in Computer Science, AI, or related fields. - AI/ML Developer: - 2-3 years of experience in AI/ML development, strong in Python, TensorFlow/PyTorch, data engineering. - Senior AI/ML Developer: - 5-7 years of experience with expertise in LMs, deep learning, scalable architectures, and performance optimization. - Experience with MLOps tools MLflow, Kubeflow, Dock...

As a Manager/Assistant Manager - Data Science at our company in Mumbai, your role involves developing and implementing data-driven solutions to drive business growth and improvement. You will lead and manage a team of data scientists, design and deploy machine learning models, conduct time series forecasting, analyze digital marketing campaigns, and collaborate with cross-functional teams to integrate data science insights into business strategies. It is essential for you to stay updated with industry trends and advancements in data science and AI. Key Responsibilities: - Develop and implement data-driven solutions for business growth - Lead and manage a team of data scientists - Design and ...

Senior Lead NLP/Gen AI - Data and AI Chennai, Bangalore, Hyderabad,Pune & NCR Curious about the role? What your typical day would look like? We are seeking a motivated and enthusiastic NLP practitioner to contribute to solving complex problems for our clients. In this role, you will work on internal product development and support client-focused projects, with exposure to the pharma domain being a plus. You'll collaborate with experienced team members and learn to create impactful AI solutions while optimizing and developing GenAI applications. Your responsibilities will include: Supporting the design, development, and deployment of GenAI solutions, learning to address challenges like halluc...

As a software engineer at Google, you will play a crucial role in developing cutting-edge technologies that impact billions of users worldwide. Google's products operate at an immense scale and cover a wide range of domains such as information retrieval, distributed computing, system design, networking, security, AI, NLP, UI/UX, and mobile technologies. Your work will involve tackling complex challenges and contributing to projects that are vital to Google's ongoing success. The Platforms and Devices team at Google is responsible for developing various software platforms, including desktop and mobile environments, applications, as well as Google's first-party devices and services. The team f...

As a Senior Consultant at Accenture AI, you will be a key member of our Banking team, utilizing your expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms to drive innovation and enhance our AI capabilities. Your primary responsibility will be to collaborate with various teams to design, develop, and implement generative AI solutions that cater to our business requirements. You will work closely with product managers, engineers, and stakeholders to understand project requirements and deliver impactful AI solutions. Your tasks will include containerizing and deploying generative AI models using tools like Docker, Kubernetes, and cloud platforms such as AWS, A...

As a seasoned professional with extensive experience in machine learning operations (MLOps), you will be responsible for leading a talented team and developing a comprehensive technical strategy. Your expertise in Python programming and ML frameworks such as TensorFlow or PyTorch will be crucial in implementing MLOps best practices, including model versioning, monitoring, automated deployment, and infrastructure automation. Your in-depth knowledge of Google Cloud Platform services, including Data Fusion, Dataproc, and Dataflow, will play a key role in data processing and pipeline orchestration. Experience with PostgreSQL databases and data integration tools like Qlik Replicate will further e...