193 Mlops Tools Jobs - Page 6

Role Overview: You will lead AI/ML projects focusing on LLMs, fine-tuning, retrieval-augmented generation (RAG), agentic systems, and embedding models. Your responsibilities will include guiding the design and development of scalable Python-based AI systems using frameworks like LangChain, LangGraph, and Hugging Face. You will also develop and integrate advanced chatbot systems (text and voice) with tools such as OpenAI, Claude, Gemini, and vLLM. As part of your role, you will architect and implement solutions using Model Context Protocol (MCP) for managing structured prompt flows, context switching, and modular multi-step agent reasoning. Collaborating with cross-functional teams, including...

As an Engineering Manager at our fast-growing startup, you will play a crucial role in architecting and scaling our data and AI infrastructure to empower global consumer brands to expand seamlessly into new markets. Your responsibilities will include designing and owning end-to-end data architecture, building scalable data pipelines, maintaining data governance, and leading automation initiatives using AI-driven engines. This is a unique opportunity to shape the technology backbone of a disruptive business model in global retail and ecommerce. Key Responsibilities: - Design and own end-to-end data architecture across multiple business functions. - Build scalable, real-time data pipelines acr...

Role Overview: You will play a crucial role in identifying and incubating cutting-edge AI technologies that align with the strategic goals of the company. Your responsibilities will include enhancing capabilities in data-driven decision-making, defining and promoting best practices in AI model development and deployment, and ensuring seamless integration of innovative AI solutions into existing frameworks tailored to meet the unique demands of the pharmaceutical industry. Your contribution will advance healthcare through technology, ultimately improving patient outcomes and driving business success. Key Responsibilities: - Understand complex and critical business problems, formulate integrat...

As a Lead Software Engineer Machine Learning, your role will involve driving the design, development, and deployment of advanced machine learning solutions. You will need to showcase strong leadership skills, deep technical expertise, and the ability to guide teams in solving complex, large-scale problems using cutting-edge ML technologies. Your responsibilities will include defining and leading the strategy and roadmap for ML systems and applications, architecting scalable machine learning systems, and collaborating with cross-functional teams to identify ML use cases and requirements. Mentoring junior engineers, monitoring and improving the performance of machine learning systems, and lead...

As a Generative AI Architect at NiCE, you will be responsible for providing technical leadership and architectural direction for the development and integration of Generative AI solutions within the organization's product portfolio and platform. Your role will involve collaborating closely with engineering, data science, product, and business stakeholders to ensure effective design, scalability, security, and operationalization of GenAI-powered features and systems. **Key Responsibilities:** - Set the end-to-end technical direction for Generative AI initiatives, including platform, technology stack, tools, and infrastructure. - Architect, design, and oversee the implementation of GenAI model...

As an experienced AI Architect, your role will involve leading the design, development, and deployment of large-scale AI solutions. You will be responsible for bridging the gap between business requirements and technical implementation, with a focus on generative AI and modern MLOps practices. Key Responsibilities: - Architect end-to-end AI systems utilizing large language models and generative AI technologies - Design scalable, production-ready AI applications that align with business objectives and performance requirements - Evaluate and integrate LLM APIs from leading providers such as OpenAI, Anthropic Claude, and Google Gemini - Establish best practices for prompt engineering, model sel...

Role Overview: You are a seasoned Data Science Engineer responsible for spearheading the development of intelligent, autonomous AI systems. Your role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. Key Responsibilities: - Design & Develop Agentic AI Applications: Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. - Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. - Fine-...

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment Collaborate with data scientists and software engineers to operationalize ML models, serving frameworks (TensorFlow Serving, TorchServe) and experience with MLOps tools Develop and m...

You should have strong programming experience in Python and hands-on expertise with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc. Additionally, experience with data engineering including SQL, data pipelines, ETL, APIs, and big data tools is preferred. Knowledge of MLOps tools like Docker, Kubernetes, MLflow, Airflow, and CI/CD for ML is required. Experience with cloud platforms like AWS, Azure, GCP and deploying scalable ML solutions is a plus. You should have a solid understanding of machine learning algorithms, deep learning, NLP, or computer vision depending on project needs. Strong problem-solving skills are essential, with the ability to convert business challenges in...

As a Data Science Engineer at the VP level in Bangalore, India, you will be responsible for leading the development of intelligent, autonomous AI systems. Your role will involve designing and deploying AI solutions that leverage technologies such as Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. You will have the opportunity to design and develop agentic AI applications using frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Additionally, you will implement RAG pipelines by integrating LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs ...

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let's push the boundaries of what's possible together As an Applied AI/GenAI ML Director within the Asset and Wealth Management Technology Team at JPMorgan Chase, you will provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, b...

As a Senior Software Engineer with AI Platform, you will play a crucial role in the team tasked with designing and developing the next generation of scalable Kubernetes infrastructure intertwined with machine learning platforms. These platforms will support both traditional ML and innovative Large Language Models (LLMs). If you have experience in engineering, this position offers you the opportunity to lead the technical direction, ensuring the performance, reliability, and scalability of AI systems. You will collaborate closely with data scientists, researchers, and other engineering teams to achieve these goals. You will be expected to define the architecture for our Kubernetes platform, m...

As an experienced Machine Learning Engineer with over 6 years of total experience, including more than 5 years in relevant Machine Learning roles, you will be responsible for building and scaling mission-critical ML systems to optimize core capabilities. Your primary focus will be on designing and deploying end-to-end ML pipelines, encompassing the entire process from training to monitoring. Utilizing supervised, unsupervised, and deep learning methods, you will tackle various business challenges by implementing scalable solutions using tools such as TensorFlow, PyTorch, and Scikit-learn. In this role, you will play a key part in driving MLOps adoption within the organization, leveraging too...

At Yuja, a highly scalable and modular platform for on-demand shared mobility and last-mile connectivity is being developed. The development process involves various dimensions, providing a unique opportunity to work on deep tech solutions. The tech stack includes IoT devices for smart shared services, ML and data workflows, user experiences, and a focus on accessibility. Original thinking, experimentation, and measurable product development are emphasized. As a role at Yuja, you will be responsible for understanding product use cases and developing workflows for ML-driven features. This includes developing and maintaining dynamic ML models, ML-oriented testing procedures, algorithm research...

We are seeking a highly motivated AI Engineer with a solid background in artificial intelligence and practical experience in developing AI-driven products. As an AI Engineer, you will play a key role in the design, development, and deployment of AI models and solutions that enhance our range of products and services. This position is particularly well-suited for recent graduates who have gained hands-on experience through internships, academic projects, or previous roles in the AI field. Your responsibilities will include designing, optimizing, and implementing machine learning (ML) and deep learning (DL) models to enhance AI-powered applications. You will collaborate closely with data scien...

The project involves the development of an AI-based door control system that utilizes computer vision and deep learning technologies to manage boardings and exits through real-time video analysis. This system aims to detect individuals and objects in doorways, replacing traditional sensors with a single AI-powered solution. The project includes the implementation of deep learning models for people and object recognition, movement analysis, real-time processing, decision-making, and logging. The system must process video data on the edge, requiring models optimized for embedded deployment while ensuring detection accuracy and speed. It should function reliably under varying lighting condition...

You are seeking an AI Architect to lead the design, development, and deployment of advanced AI systems, with a strong emphasis on Large Language Models (LLMs), fine-tuning, and customer experience (CX) technologies. This role blends deep technical expertise with leadership, research, and infrastructure planning to deliver intelligent, scalable, and customer-centric AI solutions across cloud and on-premise environments. Key Responsibilities LLM Development & Fine-Tuning - Architect and implement scalable solutions for training and fine-tuning LLMs. - Apply prompt engineering, transfer learning, and optimization techniques to enhance model performance. - Integrate LLMs into customer-facing app...

The ideal candidate for this position should possess a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, or have equivalent practical experience. You should have a proven track record of hands-on experience in Machine Learning/Artificial Intelligence, including deploying, fine-tuning, or integrating large-scale Natural Language Processing (NLP) models or other advanced ML solutions. Proficiency in Python (specifically PyTorch or TensorFlow) and familiarity with MLOps tools such as Airflow, MLflow, and Docker is required. An understanding of data privacy frameworks, encryption, and secure data handling practices is crucial, particularly for handling ...

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia se...

As an AI Architect at Datafoundry AI, a leading AI-first company driving digital transformation, you will be a key player in shaping cutting-edge AI solutions for various industries. With a primary focus on the Life Sciences sector, especially in the Safety Vigilance domain, Datafoundry is at the forefront of developing AI/ML algorithms to address digitalization challenges across sectors like Healthcare, Utilities, Aerospace and Defence, Manufacturing, and Banking. In this role, you will be responsible for conceptualizing and architecting AI solutions that meet evolving requirements and drive innovation in computer vision, Natural Language Processing (NLP), and reinforcement learning domains...

As a Senior AI Engineer at our company, you will be responsible for leading the design, development, and deployment of cutting-edge AI and machine learning models. We are looking for a highly skilled and motivated individual with a strong background in algorithms, deep learning, data engineering, and software development. Your passion for solving real-world problems through AI will be instrumental in this role. Your key responsibilities will include designing and developing scalable AI and machine learning models to solve complex business challenges. You will lead end-to-end model development, from data collection and preprocessing to training, validation, deployment, and monitoring. Collabo...

As an Artificial Intelligence Developer/AI Developer at APPWRK IT Solutions Pvt. Ltd., you will be part of a team dedicated to delivering high-quality solutions tailored to our clients" needs. Located in Mohali, our company has a strong global presence and is well-known for collaborating with Fortune 500 clients like Unilever. You will play a key role in developing, training, validating, and deploying AI/ML models for real-world use cases. Collaborating with cross-functional teams, you will define and implement end-to-end AI systems. Additionally, you will design and maintain scalable APIs and microservices, as well as build user-friendly front-end interfaces to support AI-powered applicatio...

We are looking for a ML Engineer /Senior ML Engineer with hands-on experience in Generative AI (GenAI) to drive innovation through cutting-edge AI/ML solutions. This role involves designing and implementing GenAI models and pipelines that solve business problems and enhance productivity. You will collaborate with cross-functional teams to deliver solutions using large language models (LLMs), transformers, and other generative techniques. Key Responsibilities: Develop and fine-tune Generative AI models using LLMs (e.g., GPT, LLaMA, Claude, PaLM) for tasks like summarization, content generation,question answering, semantic search, etc. Build end-to-end GenAI-powered solutions including prompt ...

We are looking for a passionate and skilled Generative AI Specialist with expertise in state-of-the-art AI models and tools to become a valuable member of our team. The ideal candidate should have hands-on experience with transformer-based models, prompt engineering, and fine-tuning large language models (LLMs) for practical applications. As a Generative AI Specialist, your responsibilities will include designing, developing, and implementing Generative AI solutions using models such as GPT, Llama, Claude, and other open-source resources. You will be expected to fine-tune and optimize pre-trained models on specific datasets, build and evaluate prompts, and create retrieval-augmented generati...

We are looking for an accomplished and hands-on Senior AI Lead to drive the development and deployment of AI-powered solutions for supply chain optimization. This senior technical leadership role requires deep AI/ML expertise, client-facing engagement, and team management to deliver intelligent, scalable products on the AWS cloud platform. You will be responsible for leading the end-to-end lifecycle of AI solutions that address real-world supply chain challenges such as demand planning and forecasting, inventory optimization, purchasing, fulfillment, route planning, risk prediction, and anomaly detection. Your key responsibilities will include designing, building, and deploying AI/ML models ...