127 Mlops Practices Jobs - Page 3

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...

About Eviden Eviden is a next-gen technology leader in data-driven, trusted and sustainable digital transformation with a strong portfolio of patented technologies. With worldwide leading positions in advanced computing, security, AI, cloud and digital platforms, it provides deep expertise for all industries in more than 47 countries. Bringing together 41,000 world-class talents, Eviden expands the possibilities of data and technology across the digital continuum, now and for generations to come. Eviden is an Atos Group company with an annual revenue of c. 5 billion. Eviden business is operated through the following brands AppCentrica, ATHEA, Cloudamize, Cloudreach, Cryptovision, DataSentics...

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: As a Python Machine Learning & AI Developer at Chicmic Studios, you will be an integral part of the dynamic team, bringing your expertise to develop cutting-edge web applications using Django and Flask frameworks. Your primary responsibilities will include designing and implementing RESTful APIs with Django Rest Framework (DRF), deploying and optimizing applications on AWS services, and integrating AI/ML models into existing systems. Key Responsibilities: - Create scalable machine learning models using PyTorch, TensorFlow, and scikit-learn - Implement transformer architectures like BERT and GPT for NLP and advanced AI use cases - Optimize models through techniques such as hype...

As a Data Scientist at Hitachi Solutions India Pvt Ltd in Pune, India, you will play a crucial role in extracting valuable insights from complex datasets, developing advanced analytical models, and driving data-driven decision-making across the organization. You will be working on cutting-edge AI applications with a focus on Natural Language Processing (NLP), Time Series Forecasting, and Computer Vision (CV) techniques. - Collaborate with engineers, analysts, and domain experts to build holistic, multi-modal solutions. - Utilize your expertise in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA for model development. - Apply NLP techniques to...

As an NLP & Generative AI Engineer at Gigaforce, you will be part of our dynamic AI/ML team in Noida, focusing on cutting-edge technologies to revolutionize the insurance claims processing industry. Gigaforce is a California-based InsurTech company that prioritizes innovation and digital transformation in the Property and Casualty sector. **Key Responsibilities:** - Build and deploy NLP and GenAI-driven products for document understanding, summarization, classification, and retrieval. - Design and implement models utilizing LLMs such as GPT, T5, and BERT. - Develop scalable, cloud-based pipelines for training, serving, and monitoring models. - Collaborate closely with cross-functional teams ...

Role Overview: You will be joining the Digital Engineering Solutions team at CDM Smith as an Artificial Intelligence/Machine Learning Engineer. In this role, you will work within the Data Technology group to support strategic Architecture, Engineering, and Construction (AEC) initiatives by leveraging cutting-edge data technologies and analytics. Your responsibilities will include contributing to advanced analytics and implementing AI/ML solutions to address complex business challenges within the AEC domain. You will utilize state-of-the-art algorithms and techniques such as deep learning, NLP, computer vision, and time-series analysis for domain-specific use cases. Your role will involve ana...

As an Associate Project Manager specializing in AI/ML, you will leverage your 8+ years of experience, including 3+ years in project management, to lead and oversee the successful delivery of AI/ML projects. You will play a pivotal role in managing cross-functional teams, steering complex software projects, and spearheading AI/ML initiatives from inception to deployment. Your expertise will encompass a blend of project management proficiency and technical knowledge in machine learning systems, data pipelines, and model lifecycle management. - Project planning, tracking, and execution using methodologies such as Agile, Scrum, and SDLC/Waterfall. - Juggling multiple projects and stakeholders ac...

As a Data Analyst at PwC, you play a crucial role in utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your responsibilities include leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. - Minimum 4+ years of hands-on experience - 3+ years of experience developing and deploying AI models in production environments - 1 year of experience in developing proofs of concept and prototypes - Strong background in software development - Proficiency in programming languages like Python - Knowledge of ML frameworks and libraries - Familiarity with ...

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 Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area This is a unique opportunity for you to work in the Product Management team to partner with the Business As a Senior Product Delivery Vice President in the WLS AI Delivery team, you will ensure the stable and scalable delivery of AI solutions. You will work with cross-functional teams, build key relationships, and enable the product to continuously deliver value. Your passion for our mission of delivering intelligent solutions that address the needs of customers and the employees who assist them will be crucial. We are looking for an experienced and strategic AI...

**Job Description:** As a Technical Lead Manager for the Contributor Trust Modeling team in Geo at Google, you will play a crucial role in driving improvements to Google Maps information quality by leveraging Machine Learning (ML) to identify user intent and distinguish trustworthy from abusive behavior. Your responsibilities will include mentoring engineers, guiding ML system development and deployment, and setting the team's technical direction in collaboration with cross-functional teams to enhance experiences for Google Maps users and local merchants. **Key Responsibilities:** - Partner with cross-functional teams to evolve strategy while guiding the team to enhance solution quality. - D...

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...

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...

Role Overview: As a Data Science Associate Director at Accenture Strategy & Consulting's Global Network Data & AI practice in the Resources team, your role will involve collaborating with clients and stakeholders to drive business growth and identify new opportunities. You will be responsible for solution architecting, designing, building, deploying, delivering, and monitoring advanced analytics models to address various client problems. Your strategic mindset will play a crucial role in translating engineering and business problems into analytics challenges to deliver actionable insights and operational enhancements. Key Responsibilities: - Interface with clients and account teams to unders...

As an AI/ML Architect at our company, you will be responsible for designing and implementing end-to-end AI architectures across various machine learning domains such as computer vision, NLP, recommendation systems, and predictive modeling. Your role will involve guiding the implementation of AI solutions to align with business objectives and ensuring scalability, security, and performance. Key Responsibilities: - Define and oversee the overall AI/ML architecture for projects, ensuring scalability, security, and performance. - Design, prototype, and supervise the development of AI/ML models in areas such as vision, NLP, forecasting, and generative AI. - Collaborate with engineering teams to i...

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...

As an innovative and highly skilled AI/ML Specialist, your role will involve designing, developing, and deploying advanced machine learning and artificial intelligence solutions to tackle complex business challenges. You should have expertise in machine learning algorithms, deep learning frameworks, and AI model deployment, along with the ability to work with large datasets to deliver impactful, scalable solutions. **Key Responsibilities:** - Design, develop, and optimize machine learning and deep learning models for various use cases. - Collect, preprocess, and analyze structured and unstructured datasets to prepare them for model training. - Select appropriate algorithms and techniques bas...

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...

As an AI Integration Engineer at our company in Ahmedabad, your role will involve deploying and integrating AI/ML models into production environments to ensure scalability, reliability, and security. You will collaborate with various teams to streamline AI adoption and maximize the impact of our AI-driven solutions. Key Responsibilities: - Collaborate with AI/ML teams to deploy machine learning models into applications and services. - Design and implement APIs, SDKs, and microservices to facilitate seamless AI model consumption. - Maintain high availability, scalability, and security of AI services in production. - Implement CI/CD pipelines, observability tools, and monitoring systems to tra...

You will be working in a leading player in the medical communications and knowledge management industry, with headquarters in Bangalore and presence in 5 locations outside India. As the ideal candidate, you will lead and manage the AI development team to deliver scalable and production-ready solutions. Your responsibilities will include conducting research to determine the best AI models, developing proofs of concept (PoCs), providing technical leadership, collaborating with stakeholders, driving recruitment and training, defining AI architecture and technical roadmap, owning end-to-end lifecycle of AI feature development, establishing MLOps practices, and ensuring compliance with data priva...

As a highly skilled GenAI Lead Engineer, your role will involve designing and implementing advanced frameworks for alternate data analysis in the investment management domain. You will leverage LLM APIs (such as GPT, LLaMA, etc.), build scalable orchestration pipelines, and architect cloud/private deployments to drive next-generation AI-driven investment insights. Additionally, you will lead a cross-functional team of Machine Learning Engineers and UI Developers to deliver robust, production-ready solutions. **Key Responsibilities:** - **GenAI Framework Development:** Develop custom frameworks using GPT APIs or LLaMA for alternate data analysis and insights generation. Optimize LLM usage for...

Key Responsibilities Develop lightweight Python-based accelerators, validators, and utility components that support automation use case validation and edge-case testing. Build diagnostic tools and reference implementations for integration scenarios (e.g., document parsing, API response emulation) to assist internal teams in early-phase feasibility nvalidation. Create reusable code snippets and utility libraries for functions that are not available in standard RPA/AI platforms, ensuring clear handover boundaries. Support internal teams with troubleshooting technical blockers and provide fallback logic examples. Develop Python modules tailored to internal validation, diagnostic, or transformat...

Job Description :We are looking for a skilled and proactive Machine Learning Engineer with a strong foundation in Python and SQL, and hands-on experience with modern MLOps tools and practices. You will be responsible for building, deploying, and maintaining scalable machine learning solutions in production environments, leveraging cloud-native technologies and automation pipelines. Key Responsibilities: Design and implement end-to-end machine learning pipelines. Develop and deploy ML models using Python and manage data workflows using SQL . Build and orchestrate workflows using Google Cloud Composer (Airflow) . Containerize applications using Docker and deploy them on Google Kubernetes Engin...