1524 Mlops Jobs - Page 3

Role Overview: As a Lead ML-Ops Engineer at UST, you will be responsible for spearheading the operationalization of machine learning and Generative AI models across platforms. Your role will involve building robust and scalable ML pipelines, integrating cutting-edge GenAI techniques, and ensuring AI solutions are production-ready and aligned with strategic business goals. Collaboration with cross-functional teams will be crucial in this role, where you will work with data scientists, data engineers, product managers, and business stakeholders. Key Responsibilities: - Design, implement, and manage scalable ML pipelines using CI/CD practices - Operationalize ML and GenAI models with high avail...

Role Overview: At FYERS, you will be part of a fast-scaling, data-first organization that is dedicated to building intelligent data infrastructure to empower real-time, data-driven decisions across the business. As a Senior Data Engineer / Team Lead, your role will involve architecting scalable data platforms and leading a team of high-performing data engineers. You will play a key role in guiding the team while actively contributing to designing and implementing data solutions. Key Responsibilities: - Architect and design scalable, efficient, and reliable data pipelines and platforms - Lead the adoption and best practices for Data Engineering tools - Ensure high standards for data quality, ...

As an AI Engineer with 1-2 years of experience, your role involves designing, developing, and deploying AI-driven solutions. You should have hands-on expertise in machine learning, deep learning, and data science, along with strong programming skills in Python and familiarity with AI frameworks. Responsibilities: - Design, develop, and optimize machine learning models for real-world applications. - Work with large datasets to preprocess, clean, and analyze data. - Implement AI algorithms for applications in NLP, computer vision, or recommendation systems. - Deploy and monitor AI models in production environments. - Optimize model performance through hyperparameter tuning and feature engineer...

As an AI Architect at Adyog, you will design, develop, and deploy real-world machine learning systems to advance AI and machine learning solutions to scale. You have operationalized machine learning while building scalable, robust, and secure products. You are a keen problem solver, utilizing technology to work out complex analytical problems. Your qualifications include: - Exposure to different stages of machine learning system design and development - Utilization of tools for machine learning pipeline management and monitoring such as MLflow, Pachyderm, Kubeflow, Seldon, Grafana - Familiarity with automation and deployment technologies like CircleCI, Jenkins, GitHub actions, etc., and infr...

As an AI Developer at our company, you will drive innovation in artificial intelligence and machine learning. Your responsibilities will include developing, deploying, and optimizing AI models for various applications while collaborating closely with data scientists, engineers, and business teams. **Key Responsibilities:** - Proficiency in Python (TensorFlow, PyTorch, Scikit-learn) or other AI/ML frameworks. - Experience with NLP, Computer Vision, or Reinforcement Learning (preferred). - Strong background in data preprocessing, feature engineering, and model tuning. - Knowledge of cloud platforms (AWS, GCP, Azure) for AI model deployment. - Familiarity with MLOps, CI/CD pipelines, and AI mod...

As a Solutions Architect / Technical Lead in AI & Automation, your role involves designing end-to-end solutions using Node.JS and Vue.JS for custom portals and administration interfaces. You will integrate Azure AI services, Google OCR, and Azure OCR into client workflows. Your responsibilities include developing and optimizing vision-based AI models using Python, implementing NLP pipelines, architecting and optimizing MongoDB databases on Azure, managing cloud infrastructure for AI workloads, leading cross-functional teams, troubleshooting technical issues, advising clients on scaling AI solutions, documenting architectures, and mentoring junior engineers. Key Responsibilities: - Design end...

Role Overview: At Avahi, we are redefining what it means to be a premier cloud-first consulting company, recognized for our people, culture, and innovative solutions. As a remote-first, global team spanning North America, Europe, and Southeast Asia, we foster a collaborative and diverse environment where professional growth, creativity, and mutual respect thrive. Guided by our core values, including Customer-Centricity, Collaboration, Agility, Innovation, Integrity, and Diversity & Inclusion, we empower businesses to embrace the full potential of a cloud-first approach. Key Responsibilities: - Define and execute Avahi's AI strategy, aligning with AWS advancements and market trends. - Develop...

Role Overview: As an AI Project Manager, you will lead cross-functional teams (engineering, data science, product, QA) to deliver AI-driven solutions on time and within budget. You will manage project scopes, risks, resources, and stakeholder communication for AI/ML implementations. Your role will involve translating complex AI technical requirements into actionable project plans and ensuring adherence to Agile/Scrum methodologies and AI project lifecycle best practices. Collaboration with clients to define success metrics, KPIs, and ROI for AI projects will be a key aspect. Additionally, you will drive continuous improvement by integrating feedback and post-implementation reviews while ment...

As a Senior Engineering Lead at Aithon Solutions, you will play a crucial role in leading the end-to-end development of Generative AI products. Your responsibilities will include defining and executing the technology roadmap, developing AI-powered products, establishing engineering best practices, leading and scaling the engineering team, collaborating with cross-functional teams, optimizing scalability and performance, and ensuring security and compliance. Key Responsibilities: - Define and execute the technology roadmap for Generative AI products, ensuring alignment with business goals. - Lead the development of AI-powered products, optimizing models for performance, scalability, and real-...

You are an experienced Data Scientist with expertise in ML/DL, model lifecycle management, and MLOps tools such as MLflow and Kubeflow. You are proficient in Python, TensorFlow, PyTorch, Scikit-learn, and Hugging Face models. Your strong experience in NLP, fine-tuning transformer models, and dataset preparation will be valuable. Key Responsibilities: - Design and implement end-to-end ML pipelines from data ingestion to production - Develop, fine-tune, and optimize ML models for high performance and scalability - Compare and evaluate models using key metrics such as F1-score, AUC-ROC, and BLEU - Automate model retraining, monitoring, and drift detection - Collaborate with engineering teams to...

AI Architect About the team: At Capco, we are dedicated to the financial services industries. Our professionals combine innovative thinking with unrivalled industry and domain expertise to offer our clients consulting expertise, complex technology and package integration, transformation delivery, and managed services, to move their organizations forward. Through our collaborative and efficient approach, we help our clients successfully innovate, increase revenue, manage risk and regulatory change, reduce costs, and enhance controls. Our teams stay at the forefront of industry trends and technologies that are driving innovation. From strategy to launch, we are adept at delivering across the f...

Role & responsibilities 8+ years of experience in AI/ML/DL architecture, data science, and enterprise-level AI solutions.Strong experience in ML and DL, including CNNs, RNNs, Transformers, and GANs. Expertise in Generative AI, including LLMs and agentic AI approaches. Proficiency in Python, R, SQL, and ML/DL frameworks such as TensorFlow, PyTorch, and Scikit-learn. Hands-on experience with MLOps, CI/CD pipelines, and Infrastructure-as-Code (IaC).Deep understanding of Data Lakes, Delta Lakes, and data pipelines for AI model training. Knowledge of AI governance, security, and compliance frameworks. Expertise in data processing using big data platforms and distributed computing frameworks. Exce...

Role & responsibilities Design, develop, train, and deploy machine learning (ML) and deep learning (DL) models for life sciences and manufacturing use cases. Collaborate with cross-functional teams to identify opportunities for AI/ML-driven automation and optimization. Implement end-to-end ML pipelines from data ingestion and feature engineering to model training, validation, and deployment. Work with big data platforms (Databricks, Snowflake, AWS Sagemaker, Azure ML, etc.) to manage and process large-scale datasets. Develop NLP, computer vision, or predictive analytics models for applications in research, digital labs, and customer analytics. Collaborate with software engineering teams to p...

Capgemini is hiring for Agentic AI Infrastructure Lead Experience range: 10 t0 13 years Location: Open at Pan India Your Role: As the Agentic and Generative AI Infrastructure Lead, you will architect and manage the foundational infrastructure that powers enterprise-scale AI innovation. This role is central to enabling the secure, scalable, and cost-effective deployment of Agentic AI workloads across multi-tenant and multi-service environments. You will be responsible for orchestrating the technical backbone that supports AI agents as they interact with APIs, core data systems, and hybrid cloud environments - including legacy and third-party platforms. With a strategic builders mindset, you w...

As a Tech Pathway Advisor - Associate based in Mumbai, your role involves connecting, conversing, and guiding individuals towards high-demand careers in futuristic domains such as DevOps, MLOps, AIOps, FinOps, and CloudOps. You will not only introduce people to technologies driving global innovation but also assist them in transitioning into life-changing jobs through a hands-on training program. Sales in IT is a rewarding profession that blends psychology, communication, and business strategy, and we will train you to be future-ready in every sense. **Key Responsibilities:** - Engage with eligible and prospective learners, guiding them towards the right specialization. - Simplify complex te...

As an experienced AI Platform Engineer, your role will involve designing, developing, and maintaining a hybrid AI Platform across multi-cloud and on-premises environments. You will be responsible for building an AI platform that enables real-time machine learning and GenAI at scale, while also incorporating governance and security frameworks. Key Responsibilities: - Design and deliver a hybrid AI Platform. - Develop and maintain scalable, efficient, and reliable data and AI pipelines. - Collaborate with data scientists, data engineers, and central data governance team to align with a standardized data strategy. - Design and implement MLOps and LLMOps framework. - Implement automated pipeline...

As a member of the Gen AI Experiences team within Adobe Experience Platform, you will play a crucial role in building and scaling core AI and ML-powered services to enhance customer experiences across Adobe's digital experience products. By collaborating with AI scientists, data engineers, and product teams, you will bring Generative AI capabilities to life, from integrating large-scale models to developing intelligent data services and APIs for AI-driven marketing and content personalization. Your contributions will directly impact the experiences of thousands of enterprise customers using Adobe Experience Cloud. **Role Overview:** As an individual contributor with a strong technical backgr...

Role Overview: We are looking for a highly motivated and experienced Site Reliability Engineer to join our growing AI Model Operations team at UBS. As an SRE, you will be responsible for ensuring the reliability, performance, and scalability of our production systems. You will have the opportunity to improve production reliability by applying software engineering principles to infrastructure and operations problems. Key Responsibilities: - Own the reliability of central AI models and agents registry, deployment pipelines, AI SecOps products, and other products in our portfolio - Ensure quality, security, reliability, and compliance of solutions by applying SRE best practices - Manage inciden...

In this role, you will be responsible for building the machine learning production system (MLOps) to help companies transition to becoming AI-driven organizations. You will work with a team to deploy state-of-the-art AI solutions for clients. Your key responsibilities will include: - Collaborating with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models - Automating and streamlining model development and operations - Building and maintaining tools for deployment, monitoring, and operations - Troubleshooting and resolving issues in development, testing, and production environments - Enabling model tracking, experimentation, and automation - Deve...

Role Overview: As an Associate Architect - AI at Veritis, you will be responsible for designing and overseeing the implementation of AI-driven enterprise solutions. Your deep expertise in AI technologies, cloud architecture, and system integration will ensure that AI initiatives align with business goals and deliver maximum impact. Key Responsibilities: - Develop and implement AI-driven enterprise architecture strategies that align with business objectives. - Define AI roadmap, architecture frameworks, and best practices for AI adoption. - Collaborate with cross-functional teams to drive AI initiatives and recommend AI technologies/tools. - Ensure seamless integration of AI solutions with ex...

You will be joining ERM as a Senior AI/ML Specialist to lead the development of AI accelerators, intelligent agents, and machine learning models for sustainability, health, and safety domains. Your role will involve guiding teams in applying LLMs, BERT, and Microsoft Azure AI technologies to design enterprise-grade solutions and drive client impact. ERM combines deep domain expertise with a strong track record in delivering sustainability-focused digital solutions. The Digital Services offered by ERM span the full information management lifecycle, from portfolio assessment and strategy to technology evaluation, design, testing, and implementation of enterprise-scale systems and cutting-edge ...

As the Director of Artificial Intelligence at Acentra Health's AI Center of Excellence, you will play a crucial role in shaping the enterprise AI strategy, working closely with business lines to identify and prioritize high-value AI opportunities. Your expertise in machine learning, generative AI, and agentic AI will be instrumental in providing architectural leadership, model selection, model tuning, and ML Ops support. **Key Responsibilities:** - **AI Strategy & Vision** - Contribute to defining Acentra Health's AI strategy within the AI Center of Excellence. - Collaborate with business lines to pinpoint high-value AI opportunities in ML, GenAI, and agents. - **Team Leadership** - Lead and...

As a full stack architect at one of the elite units of Infosys Strategic Technology Group (STG), led by the Unit Technology Officer (CTO), your role involves working on complex engineering projects, platforms, and marketplaces for clients using emerging technologies. You will be part of the Power Programmer initiative within Global Delivery, focusing on developing a team of Full Stack Developers who stay ahead of the technology curve. Key Responsibilities: - Designing and coding end-to-end solutions for technology-oriented development projects - Providing solutions in Agile mode with minimal system requirements - Collaborating with Power Programmers, Open Source community, and Tech User grou...

As a Senior Data Scientist at Auxo AI, your role will involve owning the full ML lifecycle, including model design, training, evaluation, and deployment. You will be responsible for designing production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection. Additionally, you will fine-tune LLMs, implement retrieval-augmented generation (RAG) pipelines, and build agentic workflows for reasoning, planning, and decision-making. Your responsibilities will also include developing real-time and batch inference systems using Docker, Kubernetes, and Spark, as well as collaborating with product and engineering teams to integrate AI models into business applications. Furthermore, you...

Role Overview: As a Life Sciences AI Solution Architect, you will be responsible for designing and architecting end-to-end AI/ML solutions for pharma/biotech use cases. You will apply MLOps methodologies for efficient model development, deployment, and monitoring, while leveraging Cognitive AI techniques such as NLP, Computer Vision, Speech, and Conversational AI. Your role will involve developing and implementing Document AI and Generative AI solutions, ensuring seamless integration of AI solutions into cloud platforms, and delivering and maintaining production-grade ML systems with high scalability and reliability. Additionally, you will provide technical leadership and mentorship to AI/ML...