202 Mlops Practices Jobs - Page 2

You are an experienced AI Engineer | Data Scientist responsible for leading the development and implementation of cutting-edge AI products and solutions for enterprise clients. Your role involves combining deep technical expertise in AI/ML with exceptional communication skills to drive digital transformation initiatives from conception to deployment. **Key Responsibilities:** - Lead end-to-end AI product development from discovery through deployment, ensuring successful business adoption - Partner with global enterprise clients to identify opportunities for Gen AI integration into their workflows - Design and build custom AI solutions tailored to specific client needs and industry requiremen...

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...

As an Artificial Intelligence/Machine Learning Engineer at CDM Smith, your role involves collaborating with the Data Technology group to drive strategic Architecture, Engineering, and Construction (AEC) initiatives using advanced data technologies and analytics. By leveraging AI and ML, you will be pivotal in providing actionable business insights and robust solutions for AEC professionals and client outcomes. Your focus will be on utilizing advanced analytics, data science, and AI/ML to give the business a competitive edge, including understanding and managing data, architecting & engineering data for self-serve Business Intelligence (BI) and Business Analytics (BA) opportunities. Key Respo...

Summary JOB DESCRIPTION The Document AI Platform team is focused on building cutting-edge AI use cases that directly address the critical needs of our businesses. The primary goal of this team is to demonstrate the transformative potential of AI within the firm, especially as it relates to exciting information from documents. This hands-on engineering role is pivotal in shaping the future of AI adoption at Goldman Sachs and fostering a culture of innovation and accelerated development. As an Document AI engineer, you will be instrumental in identifying, developing, and deploying end-to-end AI/Machine Learning solutions that drive tangible business value; you will work in a fast-paced environ...

Role Overview: As a Technical Lead Manager for the Contributor Trust Modeling team in Geo at Google, you will play a crucial role in enhancing Google Maps information quality by utilizing machine learning (ML) to identify user intent and differentiate between trustworthy and abusive behavior. Your responsibilities will include mentoring engineers, overseeing the development and deployment of ML systems, and setting the team's technical direction in collaboration with cross-functional teams to improve user experiences for Google Maps users and local merchants. Key Responsibilities: - Collaborate with cross-functional partner teams to evolve the strategy while guiding the team to enhance solut...

As a Data Scientist at Magna, you will have the opportunity to collaborate closely with business stakeholders to design, build, and implement advanced forecasting and analytics solutions across various functions such as procurement, sales, finance, treasury, and quality. Your role will involve utilizing a combination of classical machine learning and emerging GenAI/LLM techniques to provide valuable insights for senior leadership. You will be responsible for managing the entire model development process, from converting strategic business questions into scalable solutions to supporting decision-making processes and early-warning capabilities. Key Responsibilities: - Collaborate with business...

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...

Job Reference # 329203BR Job Type Full Time Your role define and drive the AI/ML strategy across GCRG, aligning with regulatory expectations and business goals. lead the design and implementation of scalable AI/ML solutions for group Compliance champion the adoption of responsible AI practices, ensuring transparency, fairness, and explainability in model development and deployment. collaborate with cross-functional teams including data scientists, engineers, data engineers and business stakeholders to deliver impactful outcomes. stay ahead of emerging trends in AI/ML and regulatory technology, and translate them into actionable innovation roadmaps. Your team You will be part of a high-impact...

About the Company : Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company's consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group's 170-year heritage of building sustainable communities. About the Role : Developer-GenAI Application shall be focused on coding, developing, and implementing GenAI applications using fine-tuned LLMs (Large Language Models) and SLMs (Small Language...

Hi, We are hiring for your client, a Semi conductor industry in Coimbatore location Junior Computer Vision Engineer : Experience: 1 - 1.5 years of Experience in Building Computer Vision solutions with Deep Learning Skills Required: Strong programming skills in Python. Knowledge of computer vision fundamentals (image processing, feature extraction, object detection, image segmentation). Experience with machine learning libraries (TensorFlow, PyTorch, Keras, OpenCV). Ability to work with pre-trained models and fine-tune them for specific tasks Experience with data labeling, augmentation and annotation. Understanding of deployment and scaling of computer vision models. Knowledge of MLOps practi...

As a Senior AI Engineer, you will be responsible for designing, building, and deploying AI/ML models for various use cases including recommendation engines, NLP, computer vision, forecasting, and predictive analytics. You will lead model experimentation, validation, and optimization efforts to ensure high performance and accuracy. Additionally, you will develop and maintain MLOps pipelines for model versioning, deployment, and monitoring. Collaboration with data scientists, data engineers, and software developers to integrate models into production systems is a key aspect of your role. It is essential to stay updated with the latest AI research and industry trends and translate them into act...

As a Data Science & Analysis professional at our company, you will have the opportunity to work on designing, training, and fine-tuning advanced foundational models using healthcare and other relevant datasets. Your responsibilities will include collaborating with cross-functional teams to integrate AI/ML technologies, deploying and managing AI models in a production environment, and staying updated on the latest advancements in AI/ML to drive innovation. Additionally, you will provide technical guidance to junior AI engineers, curate datasets for fine-tuning models, and ensure seamless integration of AI solutions with existing systems. Key Responsibilities: - Design, train, and fine-tune ad...

Dear Aspirants, We at ValueLabs have an Opening for AI/ML Architect role. Below is the JD for the same.. Role : AI/ML Architect Experience 7+ Years 6months-1year Remote Responsibilities At least 7+ years of relevant AI/ML experience or previous ML experience with strong engineering competencies and at least 2+ years in Generative AI, and as an architect. Broad experience analysing complex, large-scale data sets, data pipelines, ingestion, and making data-driven decisions. Familiarity or hands-on experience with NLP techniques and applications is a plus. Proven experience successfully delivering high-quality solutions in complex environments. Strong track record of operating credibly at all l...

Role Overview: At PwC, your role in data and analytics engineering will involve leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You will play a crucial part in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. As a professional in data science and machine learning engineering at PwC, you will focus on utilizing advanced analytics and machine learning techniques to extract insights from large datasets, facilitating data-driven decision-making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualisations to s...

Hiring for Must-Have Skills: Python, TensorFlow, PyTorch, Scikit-learn, AI/ML, MLOps Practices, Azure MCP, Azure AI Foundry Perks and benefits Excellent Perks & Benefits

You are a highly skilled and hands-on AI Solution Architect being sought to join a team dedicated to driving the development of a cutting-edge AIOps platform. Your role will involve designing and implementing AI-driven solutions that enhance automation, observability, and incident response across complex enterprise environments. **Key Responsibilities:** - Architect and lead the development of an enterprise-grade AIOps platform utilizing machine learning, deep learning, and advanced analytics. - Design scalable AI pipelines for anomaly detection, predictive analytics, root cause analysis, and intelligent alerting. - Collaborate cross-functionally with engineering, DevOps, and IT teams to int...

As a Senior Software Engineer specializing in Generative AI and Intelligent Automation at NTT DATA in Bangalore, Karnataka (IN-KA), you will be instrumental in designing, developing, and maintaining cutting-edge solutions that leverage Generative AI, Agentic AI frameworks, and intelligent automation technologies. Your role will involve collaborating with cross-functional teams to deliver innovative solutions aligned with organizational goals. **Responsibilities:** - Lead the design, development, testing, debugging, and implementation of software solutions using Generative AI frameworks. - Architect and implement intelligent automation solutions, integrating Generative AI and Agentic AI frame...

In this role at PwC, you will focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your responsibilities will include transforming raw data into actionable insights, developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. As part of the data and analytics engineering team, you will play a crucial role in enabling informed decision-making and driving business growth through data science and machine learning engineering. Key Responsibilities: - Design, implement, and maintain end-to-end Machine Learning Operations (MLOps) pipelines for automated model generat...

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 (GPT, LLaMA, etc.), build scalable orchestration pipelines, and architect cloud/private deployments to power 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:** - Develop custom frameworks using GPT APIs or LLaMA for alternate data analysis and insights generation. - Optimize LLM usage for investment-specific workflows, includi...

As a DevOps Engineer on the Agentic AI Platform team at Trimble, you will play a crucial role in designing, implementing, and maintaining the infrastructure and deployment pipelines that drive our cutting-edge AI agents. Your responsibilities will include tackling challenging technical issues related to scalability, reliability, security, and cost-effectiveness. You will collaborate closely with software engineers, AI researchers, and other teams to build a resilient and efficient platform. Your role will require strong software engineering fundamentals, practical experience in cloud infrastructure management, and a keen interest in modern AI technologies. **Key Responsibilities:** - Design,...

As a Senior Data Scientist at EY, you will be responsible for designing and implementing state-of-the-art Agentic AI solutions tailored for the financial and accounting industry. Your key responsibilities will include developing and implementing AI models and systems using techniques such as Language Models (LLMs) and generative AI to solve industry-specific challenges. You will collaborate with stakeholders to identify business opportunities, stay updated with the latest advancements in generative AI techniques, and integrate with relevant APIs and libraries to enhance generative AI capabilities. Your role will also involve implementing and optimizing end-to-end pipelines for generative AI ...

Keyloop bridges the gap between dealers, manufacturers, technology suppliers and car buyers. We empower car dealers and manufacturers to fully embrace digital transformation. How By creating innovative technology that makes selling cars better for our customers and buying and owning cars better for theirs. We use cutting-edge technology to link our clients systems, departments and sites. We provide an open technology platform that's shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it Purpose of the Role The Product Owner reports into the Head of Data Products and le...

Role Overview At PwC, your role in data and analytics engineering will involve leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In the data science and machine learning engineering department, your primary focus will be on utilizing advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision-making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to solv...

As a part of Growqr, you will be involved in building a multi-layered ecosystem powered by AI Agents, personalized GPT models, and human-centric innovation. Our vision is to unlock AI's potential for 1 billion people. **Key Responsibilities:** - Build and deploy agentic systems using n8n, Crew.AI, Google Agent-to-Agent protocols, or similar technologies. - Design, orchestrate, and optimize enterprise-grade automation pipelines across ERP, CRM, WMS, and other applications. - Implement scalable integrations using Zapier, Make, or custom APIs for cross-platform workflows. - Work with Gen-AI APIs (OpenAI, Gemini, Anthropic, etc.) to power autonomous decision-making and user-facing experiences. -...

As an AI Engineer with 3+ years of experience specializing in Generative AI and Agentic Systems, you will play a crucial role in designing, developing, and deploying advanced AI models and autonomous agents. Your work will involve creating tools for content generation and developing intelligent agents capable of complex decision-making and problem-solving. Key Responsibilities: - Design, develop, and implement state-of-the-art generative AI models such as Large Language Models (LLMs), Diffusion Models, GANs, VAEs, Transformers for various applications like text generation, image synthesis, code generation, and data augmentation. - Architect and build autonomous AI agents that can plan, reaso...