1552 Mlops Jobs - Page 17

As an AI Engineer at McCain Foods (India) P Ltd, you will play a crucial role in designing, developing, and deploying advanced Agentic AI and Generative AI systems. Your passion for building intelligent agents capable of autonomous decision-making and generative models will drive the creation of next-generation AI solutions that bring value to the business and push technological boundaries. Key Responsibilities: - Design, implement, and optimize autonomous AI agents capable of reasoning, planning, and executing complex tasks with minimal human intervention. - Develop frameworks for multi-agent collaboration, negotiation, and coordination. - Integrate agentic systems with real-world applicati...

As a Senior Data Scientist at our client's organization, you will play a crucial role in architecting agentic AI solutions and overseeing the entire ML lifecycle, from proof-of-concept to production. Your responsibilities will include operationalizing large language models and agentic workflows, designing multi-agent AI systems for cybersecurity tasks, building GenAI solutions, implementing CI/CD pipelines, managing model versioning, automating cloud infrastructure provisioning, monitoring models and infrastructure, and collaborating with cross-functional teams to integrate agentic AI into existing security workflows. Key Responsibilities: - Operationalise large language models and agentic w...

Do you want to join a stealth Silicon Valley startup on a mission to reimagine the future of human potential? Were looking for an exceptional AI/ML Engineer who thrives on bold ideas, rapid prototyping, and building world-class AI systems that impact millions. If you are ready to design what doesnt exist yet, we want you, now! AI/ML ENGINEER We are not just building AI systemswere creating the future. As an AI/ML Engineer, youll join a very talented and brilliant team where every line of code, every model, and every experiment matters. This is not an incremental role. This is a career-defining opportunity to shape technology at the frontier of AI. What Youll Build Conversational Agents – Nex...

Role Overview: As a member of the Cisco Networking Tooling team, you will be responsible for designing, developing, and maintaining full-stack applications using technologies such as Node.js, React, Python, and modern cloud platforms like AWS, Azure, and GCP. Your impact will enhance efficiency, collaboration, resource management, innovation, and scalability within Engineering and Operations by providing agile and resilient tooling. Working closely with front-end and back-end developers, data scientists, and UX/UI designers, you will contribute to creating seamless user experiences. Your strong problem-solving skills and ability to work in an agile environment will be key to optimizing code ...

Role & responsibilities Roles: Senior Python Developer Design & build backend components of MLOps platform on AWS. Collaborate with geographically distributed cross-functional teams. Participate in on-call rotation with the rest of the team to handle production incidents. Knowledge, Skills and Experience Python Programming AWS Services Flask Spark Programming knowledge (Pyspark/Scala) Async Programming boto3 Primary Skills Must have 5 to 9 years of working experience in Python programming with flask, FastAPI Experience working with WSGI & ASGI web servers such as Gunicorn, Uvicorn etc. Experience with concurrent programming designs such as AsyncIO. Experience with unit and functional testing...

Role & responsibilities As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. Youll help automate and streamline Model development and Model operations. Youll build and maintain tools for deployment, monitoring, and operations. Youll also troubleshoot and resolve issues in development, testing, and production environments. Enable Model tracking, model experimentation, Model automation Develop scalable ML pipelines Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubefl...

Role & responsibilities As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. Youll help automate and streamline Model development and Model operations. Youll build and maintain tools for deployment, monitoring, and operations. Youll also troubleshoot and resolve issues in development, testing, and production environments. Enable Model tracking, model experimentation, Model automation Develop scalable ML pipelines Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubefl...

Role & responsibilities As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. Youll help automate and streamline Model development and Model operations. Youll build and maintain tools for deployment, monitoring, and operations. Youll also troubleshoot and resolve issues in development, testing, and production environments. Enable Model tracking, model experimentation, Model automation Develop scalable ML pipelines Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubefl...

Role & responsibilities As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. Youll help automate and streamline Model development and Model operations. Youll build and maintain tools for deployment, monitoring, and operations. Youll also troubleshoot and resolve issues in development, testing, and production environments. Enable Model tracking, model experimentation, Model automation Develop scalable ML pipelines Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubefl...

Key Responsibilities: Develop and optimize machine learning models leveraging NLP, Computer Vision, and GenAI. Architect and implement scalable ML pipelines for training, validation, deployment, and monitoring of production models. Drive the development of large-scale ML infrastructure, ensuring low-latency inference and efficient resource utilization across cloud and hybrid environments. Implement MLOps best practices, automating model training, validation, deployment, and performance monitoring. Work closely with data engineers, software engineers, and product teams to ensure seamless integration of ML solutions into production systems. Optimize ML models for performance, scalability, and ...

Hiring!! Pune Only!!!!!! Key Responsibilities Analyze and evaluate ML algorithms for specific business problems, ranking them by success probability. Explore, analyze, and visualize datasets to derive insights and ensure data quality. Oversee data acquisition and preprocessing, including feature engineering workflows. Define model validation strategies and design/implement data augmentation pipelines. Train, optimize, and fine-tune ML/DL models, analyze errors, and implement corrective solutions. Establish and manage A/B testing frameworks. Deploy and maintain MLOps pipelines for production use. Technical Expertise Strong hands-on experience with ML/DL frameworks: TensorFlow, PyTorch, Keras,...

We are seeking a Machine Learning Engineer with strong expertise in traditional ML algorithms and statistical modeling techniques. The role involves developing, training, testing, and deploying ML models to solve business problems, improve decision-making, and optimize processes. The ideal candidate should have a solid background in mathematics, statistics, and programming, with hands-on experience in applying classical ML techniques rather than relying solely on deep learning frameworks. Key Responsibilities: Design, develop, and implement machine learning models using traditional algorithms (e.g., regression, SVM, decision trees, ensemble methods, clustering, time series forecasting). Perf...

You will be joining Bank of America as an AI/ML Platform Engineer in the Data Analytics Strategy platform and decision tool team. Your role will involve architecting and building a modern, scalable, and secure Data Science and Analytical Platform. Your responsibilities will include: - Leading the architecture and design for building scalable, resilient, and secure distributed applications, ensuring compliance with organizational technology guidelines and security standards. - Contributing to hands-on coding, building core components, APIs, and microservices while maintaining high code quality and performance. - Integrating secure development practices and aligning with CI/CD best practices f...

As the Chief AI Officer in Professional Services, your role will encompass a wide range of responsibilities and requirements to lead the AI initiatives within the organization effectively. Here is a breakdown of what will be expected from you: **Role Overview:** You will be responsible for overseeing the technical and AI expertise within the organization, guiding the strategic vision and business acumen, leading multidisciplinary teams, ensuring ethics, governance, and risk management, mastering data and infrastructure, and fostering innovation and foresight. **Key Responsibilities:** - Deep understanding of AI/ML technologies such as machine learning, NLP, computer vision, generative AI, an...

Role Overview: You will be joining NTT DATA as a Senior Consultant, Data Scientist in the Supply Chain Consulting team. Your main responsibility will be to design and implement forecasting solutions for demand planning and other supply chain challenges using both traditional statistical models and modern machine learning techniques. Additionally, you will work on developing AI/ML-driven solutions for various supply chain functions. Key Responsibilities: - Design, develop, and implement time series forecasting models for demand planning and other supply chain use cases. - Apply statistical techniques such as ARIMA, ETS, etc for effective baseline modeling. - Implement and optimize machine lea...

Role Overview: As an Analyst - Data Science at Rockwell Automation, you will be responsible for engineering and developing advanced analytics solutions. With a specialization in applying data science techniques to real-world business problems across industries such as healthcare, retail, manufacturing, or technology, you will play a crucial role in understanding client business challenges and proposing end-to-end AI/ML/data science solutions. Your location will be in Balewadi, Pune, and you will report to the Manager, Software Engineering. Join us if you are a forward thinker and problem solver looking for a place to do your best work. Key Responsibilities: - Understand client business chall...

As a Technical Lead AI, you will be responsible for driving the design, development, and deployment of AI-driven solutions across multiple product lines. You should have a proven track record of supporting AI-embedded products, leading Gen AI initiatives, and establishing best practices in data pipelines, ML model lifecycle, LLMs, and MLOps. Your role will involve collaborating with cross-functional teams to architect scalable AI systems, mentor engineers, and ensure successful integration of AI capabilities into business applications. - Lead the end-to-end design and implementation of AI/ML and GenAI solutions, including Retrieval-Augmented Generation (RAG) pipelines. - Partner with product...

Role Overview: As a GenAI Developer specializing in Python and Agentic AI, you will be responsible for developing and deploying GenAI applications using Python and modern AI frameworks. You will build and optimize RAG pipelines, integrate LLMs, and manage vector databases. Collaborating with cross-functional teams including data scientists, DevOps, and product managers, you will implement and maintain agentic AI workflows using orchestration tools. Your role will also involve ensuring code quality, scalability, and performance of AI-driven applications while staying updated with the latest advancements in GenAI and agentic systems. Key Responsibilities: - Develop and deploy GenAI application...

Role Overview: At PwC, your role in data and analytics will involve leveraging data to drive insights and make informed business decisions. You will utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. Specifically, in data analysis at PwC, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Your responsibilities will include leveraging skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. Key Responsibilities: - Develop and implement MLOps strategies tailored for Generative ...

Role & responsibilities As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. Youll help automate and streamline Model development and Model operations. Youll build and maintain tools for deployment, monitoring, and operations. Youll also troubleshoot and resolve issues in development, testing, and production environments. Enable Model tracking, model experimentation, Model automation Develop scalable ML pipelines Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubefl...

Role & responsibilities As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. Youll help automate and streamline Model development and Model operations. Youll build and maintain tools for deployment, monitoring, and operations. Youll also troubleshoot and resolve issues in development, testing, and production environments. Enable Model tracking, model experimentation, Model automation Develop scalable ML pipelines Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubefl...

As a Senior ML Architect in this role, you will be responsible for designing and deploying advanced ML/AI architectures with a focus on multi-agent systems, Retrieval-Augmented Generation (RAG), document intelligence, and conversational systems. Key Responsibilities: - Utilize your expertise in ML, Deep Learning, Generative AI, LLMs, Python, SQL to develop innovative solutions. - Implement RAG (Retrieval-Augmented Generation), MCP (Multi-agent Control Protocol/agentic AI), and agent-based systems. - Work on NLP, Computer Vision, and Document Processing including OCR, extraction, and validation. - Use ML frameworks such as TensorFlow, PyTorch, and scikit-learn to build robust models. - Develo...

Role Overview: You will be a specialist working with Large Language Models (LLMs) to design, develop, and integrate advanced AI solutions within the platform. Your main responsibilities will include automating data processing, generating actionable insights, and enhancing decision-making workflows. Your focus will be on building scalable solutions that improve efficiency, accuracy, and user experience through natural language understanding. Key Responsibilities: - Design, develop, and optimize NLP models for text processing, classification, and information extraction. - Apply machine learning and AI techniques to solve real-world business problems. - Collaborate with cross-functional teams t...

As an AI/ML Engineer at our company, you will be responsible for designing, developing, and optimizing traditional AI/statistical models and deep learning architectures such as RNN, LSTM, CNN, and Transformers. You will work with SQL, EDA, feature engineering, and data visualization to generate actionable insights. Additionally, you will build and fine-tune Generative AI, NLP, LLMs, Chatbots, Agentic AI, and MCP-based systems using frameworks like OpenAI, GPT, and beyond. Your role will also involve developing scalable backend solutions and model deployment pipelines using Django, FastAPI, and Flask. Furthermore, you will contribute to data engineering & ETL pipelines, including big data eco...

Role Overview: You should have a minimum of 5 years of experience in machine learning engineering and AI development. Your deep expertise should include machine learning algorithms such as supervised/unsupervised learning, deep learning, and reinforcement learning. Additionally, you should have solid experience in natural language processing (NLP) including language models, text generation, and sentiment analysis. Your proven understanding of generative AI concepts like text/image/audio synthesis and transformers will be crucial. Expertise in Agentic AI and experience with frameworks like Langgraph, ADK, Autogen are required. Key Responsibilities: - Design, develop, and optimize machine lear...