2473 Mlops Jobs

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...

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

Data Scientist role focused on building and deploying ML models for vehicle pricing, condition assessment, and analytics. Requires strong Python/ML skills, MLOps expertise, and ability to work with large, complex automotive datasets.

Key Responsibilities: Architect and lead the development of scalable AI/ML solutions across diverse domains.Design and implement systems leveraging Large Language Models (LLMs) and Agentic AI principles. Collaborate with QE teams to integrate AI into testing frameworks and CI/CD pipelines. Evaluate and implement AI services using Azure OpenAI, Google Cloud (GHCP), and other cloud platforms. Guide the development and deployment of machine learning models using best practices in MLOps. Mentor data scientists and engineers, and lead cross-functional AI initiatives. Ensure AI solutions are ethical, explainable, and aligned with business goals. Required Skills & Qualifications: 10+ years of exper...

Design & evaluate ML tasks, build datasets, run experiments & benchmark LLMs Strong Python skills, competition-grade expertise (Kaggle) & robust pipelines Experience with modern ML/NLP tools At dext ai, we refer candidates to AI-training companies Required Candidate profile At least 3 yrs experience of full-time ML development Prior experience in AI research or ML platforms Preferred: Background in GenAI models, LLMs or multimodal learning Contributions to Open-source Perks and benefits Work from home at $21 per hour

Expert Python development (PyTorch, Transformers, production ML frameworks) Strong with NVIDIA/CUDA, GPU optimization AI/ML products LLMs (Llama, Mistral, Phi-3, .) AI/ML product architecture, MLOps, LLM (Healthcare/HIPAA preferred) DevOps Required Candidate profile Define and drive the Technical product vision for enterprise AI/ML platforms in healthcare, translating business requirements into scalable architectures while ensuring delivery excellence

Experience in AI/ML deployment Experience in Generative AI based apps deployment Excellent knowledge in CI/CD Good idea about AI/ML based development Good exposure on cloud infrastructure Desired Skills Machine Learning, Python Qualifications Bachelor of Engineering

We are seeking an inventive Data Architect for AI with 1015 years of experience to lead the strategic design and implementation of enterprise-scale AI solutions. This role requires deep expertise in designing, developing, and deploying scalable and secure data architectures on cloud platforms to support AI & ML initiatives. The candidate will bridge the gap between business needs and technical implementation by creating the necessary infrastructure for data processing, model training, and inference. This role requires expertise in cloud services and distributed computing to handle large datasets and complex workloads for AI/ML frameworks, as well as MLOps to build robust systems. Desired Ski...

In-depth knowledge in AI & ML and associated architecture AI system design, Enterprise AI integration, APIs, and Microservice architecture Knowledge of emerging technologies and trends Experience with MLOps, Cloud and Infrastructure, AI Compliance and Governance Expertise in secure AI deployment and responsible AI practices Hands-on experience with Generative AI Desired Skills Artificial Intelligence, Google Apps Qualifications Bachelor of Engineering

Design, develop, and deploy state-of-the-art ML and Generative AI models (e.g., LLMs, Transformers, Diffusion Models). Conduct applied research in areas such as NLP, time-series, reinforcement learning, computer vision, or multimodal learning. Collaborate with cross-functional teams including sales, data engineers, agentic AI, Hyperscalers, and MLOps. Qualifications Bachelor of Engineering