2507 Mlops Jobs - Page 2

Build & maintain DBT models Integrate DBT with Snowflake Cortex Enable feature eng., training, inference Set architecture best practices Optimize Snowflake with CI/CD Troubleshoot issues At dext ai, we refer candidates to AI-training companies Required Candidate profile 3+ yrs experience of DBT (core/cloud) Strong expertise in Snowflake & SQL Build and optimize CI/CD pipelines for DBT Experience integrating DBT with orchestration tools Data engineering skills Perks and benefits work from home at $35 to $70/hour with flexibility

As an experienced and visionary Lead Data Scientist at our company, your main focus will be spearheading our multilingual Artificial Intelligence and Machine Learning initiatives. You will be responsible for advanced natural language processing, cutting-edge speech technologies, and the development of highly specialized, domain-specific AI/ML models. Your role will involve training and fine-tuning state-of-the-art transformer-based models, developing robust speech recognition and synthesis systems, and adapting large language models for complex, specialized applications. Your technical leadership will drive innovation and mentor a talented team to deliver high-impact AI solutions. **Key Resp...

Role Overview: As a Lead Machine Learning Engineer at Ramboll Tech, you will be responsible for creating cutting-edge AI solutions that empower the business while also mentoring others and fostering a culture of collaboration and growth. You will play a key role in shaping the technical roadmap, defining architectural patterns, integrating external knowledge bases, and exploring state-of-the-art LLMs to deliver impactful AI solutions. Key Responsibilities: - Define architectural patterns for scalable LLM pipelines, ensuring robust versioning, monitoring, and adherence to best practices. - Drive the integration of external knowledge bases and retrieval systems to augment LLM capabilities. - R...

Role Overview: As an AI Solution Architect, you will be responsible for leading the design and implementation of AI-driven solutions that align with business objectives and deliver scalable, high-performance results. Your deep expertise in AI/ML, solution architecture, and cloud deployment will be crucial as you collaborate with clients, developers, and stakeholders to drive AI innovation. Key Responsibilities: - Architect and implement AI-powered solutions in machine learning, NLP, and computer vision to solve complex business challenges. - Lead the AI solution lifecycle from concept to deployment, ensuring scalability, performance, and efficiency. - Design end-to-end AI architectures, incl...

As a Gen AI Consultant with 3-4 years of experience in Generative AI, NLP, and Machine Learning, your role at our Hyderabad office will involve developing AI-driven solutions, fine-tuning models, and integrating AI technologies into business applications. Key Responsibilities: - Design and develop Generative AI models such as LLMs, NLP, and Deep Learning. - Fine-tune and optimize AI models for improved performance and scalability. - Implement chatbots, automation tools, and AI-based applications. - Utilize Python, TensorFlow, PyTorch, and Hugging Face frameworks for development. - Deploy AI models using APIs, cloud platforms like AWS, Azure, Google AI, and vector databases. - Stay informed a...

As a highly skilled Data Scientist specializing in AI agents, generative AI, and knowledge engineering, you will play a crucial role in enhancing AI-driven cloud governance solutions. Your primary responsibilities will involve advancing multi-agent systems, leveraging LLMs, and integrating knowledge graphs in a Python environment. Your contributions will directly impact FinOps, SecOps, CloudOps, and DevOps by providing scalable, AI-enhanced decision-making, workflows, and monitoring. - **AI Agent Development & Enhancement**: - Design, develop, and optimize LLM-based multi-agent systems for cloud governance. - Implement agent collaboration using frameworks like LangChain, AutoGen, or open-sou...

You are a highly experienced AI/ML & Generative AI (GenAI) Project Manager responsible for leading cutting-edge AI initiatives. Your role involves managing end-to-end AI/ML and GenAI projects, defining project scope, collaborating with cross-functional teams, overseeing AI/ML model design and implementation, integrating Generative AI technologies, managing project risks and dependencies, tracking project progress, ensuring compliance with AI ethics and standards, providing leadership and mentorship to AI teams, and staying updated with industry trends and best practices. Key Responsibilities: - Lead and manage end-to-end AI/ML and GenAI projects, from inception to deployment. - Define projec...

As the Head of Product Development at Value Health Inc, your role involves leading the strategy, design, and execution of cutting-edge AI-powered products. You will oversee the end-to-end development lifecycle, ensuring seamless integration of Gen AI capabilities into innovative solutions. The ideal candidate for this role will have deep expertise in AI/ML, strong leadership skills, and a proven track record in building AI-driven products that deliver business value. **Key Responsibilities:** - **Strategic Leadership:** Define and execute the Gen AI product roadmap aligned with business goals and market needs. - **Product Development:** Lead and oversee the design, development, and deploymen...

Role & responsibilities Bachelors or Masters degree in Computer Science, IT, or a related field. 5+ years of hands-on experience in software development, with a focus on Python. Deep understanding of OOP concepts, software architecture, and design patterns. Experience with backend web frameworks, preferably FastAPI. Familiarity with integrating ML/DL models into software solutions. Practical experience with CI/CD, containerization (Docker), and version control systems (Git). Exposure to MLOps practices and tools for model deployment and monitoring. Strong collaboration and communication skills in cross-functional engineering teams. Familiarity with cloud platforms like AWS (e.g., Sagemaker, ...

Position: Senior AI/ML & Gen AI Engineer Experience: 6+ Years Location: Hyderabad Work Mode: 5 Days Work from Office Role Overview: We are hiring a AI/ML & Gen AI Engineer with expertise in AWS Bedrock, AWS Nova, LLMs, RAG, and Agentic AI architectures . This role will focus on AI model development, MLOps, Gen AI solutions, and AI-first innovation initiatives . The ideal candidate will work on PoCs, accelerators, and AI-driven solutions while mentoring freshers and growing our AI practice. Key Responsibilities: Develop and deploy AI/ML models, LLM-based applications, and RAG architectures . Design AI-powered accelerators, PoCs, and reusable ML pipelines . Build multi-cloud AI/ML solutions us...

As a Senior Data Engineer at Mindcurv, you will play a crucial role in designing and implementing scalable data solutions for our clients. You will be part of our dynamic Data and Analytics team, collaborating with cross-functional teams to ensure the organization leverages data as a strategic asset. Your responsibilities will include: - Designing, building, and maintaining scalable data pipelines and ETL processes using Databricks and other modern tools. - Architecting, implementing, and managing cloud-based data warehousing solutions on Databricks (Lakehouse Architecture). - Developing and maintaining optimized data lake architectures to support advanced analytics and machine learning use ...

Role & responsibilities Seeking a senior data scientist / AI engineer capable of leading the design and implementation of advanced AI/ML systems end to end. The role blends traditional machine learning, modern LLM-driven and agentic-AI architectures, and mature MLOps practices. This engineer will shape solution strategy, translate business problems into deployable models and pipelines, integrate tool-using agents, and ensure systems are reliable, scalable, and cost-efficient. A strong foundation in low-level data manipulation and ML fundamentals is expected, enabling effective experimentation, feature engineering, and troubleshooting across the stack. Key Responsibilities Build end-to-end ML...

Ciklum is looking for a Principal AI Lead to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Principal AI Lead, become a part of a cross-functional development team engineering experiences of tomorrow. Responsibilities: Define and evolve Ciklums AI Engineering strategy, frameworks and best practices across clients and internal initiatives Serve as...

Build & maintain DBT models Integrate DBT with Snowflake Cortex Enable feature eng., training, inference Set architecture best practices Optimize Snowflake with CI/CD Troubleshoot issues At dext ai, we refer candidates to AI-training companies Required Candidate profile 3+ yrs experience of DBT (core/cloud) Strong expertise in Snowflake & SQL Build and optimize CI/CD pipelines for DBT Experience integrating DBT with orchestration tools Data engineering skills Perks and benefits work from home at $35 to $70/hour with flexibility

As a Data & AI Head/Lead at Pratiti, your role will involve driving innovation and delivering advanced data engineering, analytics, and AI/ML solutions for global clients. You will be responsible for a blend of hands-on expertise, solution consulting, and team leadership to build Data & AI capabilities as a key part of digital solutions. Key Responsibilities: - Work closely with the presales and business development team during the discovery phase, contributing to proposals and RFP responses. - Provide a consultative approach to advise clients on their AI journey, including data strategies, AI/ML-enabled use cases, and data platform adoptions. - Build and mentor a team of data engineers, ana...

Role Overview: As an AI/ML Architect at InfoBeans, you will be responsible for leading enterprise-scale AI and Generative AI initiatives, providing architectural vision and technical leadership across AI/ML, cloud, and data engineering domains. You will play a key role in designing, developing, and deploying AI and Generative AI solutions using AWS, Azure, or GCP. Additionally, you will be managing multiple projects end-to-end, mentoring and leading teams, and collaborating with stakeholders to translate business requirements into scalable technical solutions. Your role will involve staying ahead of emerging trends in AI, GenAI, and cloud technologies to introduce innovative solutions across...

As an MLOps + GCP Engineer at our client's company, you will play a crucial role in building and managing the end-to-end Machine Learning (ML) and IT operations (AIOps) infrastructure on Google Cloud Platform (GCP). This position requires a high level of expertise in AI/ML Platform Engineering to automate the ML lifecycle and implement AI-driven solutions for optimizing IT and business processes. **Key Responsibilities:** - Strong hands-on experience in MLOps and AIOps utilizing the Google stack - Good understanding of DevOps practices and CI/CD methodologies - Proficiency in modeling and deploying machine learning solutions - Sound knowledge of working with Git for version control - Familia...

Required Skills & Experience 3+ years of hands-on experience in ML/AI development, including LLMs and generative models. Strong programming expertise in Python and PySpark , with experience in scalable data pipelines. Hands-on experience with LangChain, LlamaIndex, LangGraph or equivalent frameworks. Solid understanding of ML model deployment and serving platforms (e.g., SageMaker, Bedrock, TorchServe, BentoML, KFServing). Proficiency in containerization and orchestration tools (Docker, Kubernetes). Practical expertise in prompt engineering and RAG pipelines (embedding models, chunking, retrieval strategies, caching). Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus)...

MLOps Engineer - Hyderabad Location Job Description: This role is crucial for delivering scalable, reliable, and efficient AI/ML solutions that include traditional ML models, AI Agents (using ADK), LLM-based applications, and Retrieval-Augmented Generation (RAG) systems for our business and customers. You will focus on designing and building data modeling pipelines to enable deployment, monitoring, and governance of our ML models and AI agents on Google Cloud Platform (GCP). Youll collaborate closely with data scientists and ML engineers to bridge model development and production operations, accelerating delivery of innovative and impactful solutions. Key Responsibilities As an MLOps Enginee...

We are looking for a highly experienced Senior Machine Learning Engineer with 10+ years of combined experience in software engineering and machine learning. This role requires end-to-end ownership of scalable ML model developmentspanning data preparation, feature engineering, model training, deployment, and optimization in production. The ideal candidate excels at building robust ML systems, collaborating with cross-functional teams, and delivering high-performance machine learning solutions at scale. Key Responsibilities Design, build, and deploy machine learning models along with complete end-to-end ML pipelines. Engineer high-quality features and manage large, complex datasets for model t...

Expertise in AI, ML, and Azure platforms with in-depth knowledge of AI & ML and associated architecture. AI system design, enterprise AI integration, APIs, and microservices. Awareness of emerging technologies and trends. Experience with MLOps, cloud, and infrastructure, including AI compliance and governance, secure AI deployment, and responsible AI. Familiarity with Generative AI. Qualifications: Bachelor of Engineering

Role Overview: DevOps Architect [ Individual Contributor] We are seeking a highly skilled and experienced DevOps Architect with a strong background in MLOps to join our DevOps team . The ideal candidate will have extensive experience with AWS Cloud,Azure Cloud Load Balancers, MYSQL Server, Clustering, and MLOps practices. As a DevOps Architect, you will play a pivotal role in designing, implementing, and maintaining our DevOps infrastructure and MLOps pipelines, ensuring the reliability, scalability, and security of our systems. Key Responsibilities: Design, implement, and manage DevOps infrastructure and MLOps pipelines using AWS/Azure Cloud services. Develop and maintain highly available a...

Responsibilities 1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes 3. Automate the training, testing and deployment processes for machine learning models 4. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability 5. Implement best practices for version control, model reproducibility and governance 6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness 7. Troubleshoot and resolve issues related to model deployment and...

Extensive experience in Artificial Intelligence (AI) and Machine Learning (ML) with in-depth knowledge of associated architectures. Proficient in Azure, AWS, or Google Cloud platforms. Expertise in AI system design, enterprise AI integration, APIs, and microservices. Familiar with emerging technologies and industry trends. Knowledge in MLOps, cloud and infrastructure, AI compliance and governance, secure AI deployment, and responsible AI practices. Experience with Generative AI. Desired Skills Artificial Intelligence, Machine Learning Qualifications Bachelor of Engineering

Develops, deploys, and maintains scalable machine learning (ML) models, including specialized focus on Large Language Models (LLMs) and other foundation models. Designs and implements robust APIs and microservices for real-time model serving and inference, particularly focusing on optimizing latency and throughput for large generative models. Implements MLOps practices (CI/CD) to automate the testing, deployment, and monitoring of ML systems, including specific pipelines for fine-tuning and customizing LLMs. Optimizes model performance, latency, and resource consumption through techniques like quantization, pruning, and low-rank adaptation (LoRA) for efficient GenAI deployment. Establishes c...