190 Mlops Tools Jobs

AI Architect Role Summary The AI Architect is responsible for designing the end-to-end architecture, frameworks that enable scalable, and high-performance AI systems both within the organization and for product teams. This role bridges machine learning, software engineering, and cloud infrastructure to create a cohesive enterprise AI ecosystem. The AI Architect defines reference architectures, accelerates solution teams, ensures compliance, and sets the technical direction for how AI is built, deployed, and governed. Key Responsibilities Design the AI architecture for the enterprise including inference layers, vector stores, data ingestion, orchestration, and monitoring. Architect scalable L...

Role :- Applied Scientist II Experience :- 3+ years Location :- Bengaluru, Karnataka Who we are : Money. A subject that's always on our mind. We go through a rollercoaster of emotions when it comes to money. That's why at Jupiter, our mission is to enable people to improve their relationship with money. We are a financial services platform that leverages technology to offer our customers seamless and user-friendly products related to banking, loans, and investments. So whether it's a savings account, credit cards, investment and payments, it's all on Jupiter. We also help users cut through the banking jargons, offer smart insights based on spending and provide users with a range of new age f...

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us! Job Description AI...

Senior Machine Learning Engineer - LLM Evaluation / Task Creations [$21/hr] As an independent member of the referral program of a leading organization ( Mercor ) , we are posting to seek highly skilled Machine Learning Engineers with a proven record of building, training, and evaluating high-performance ML systems in real-world environments. In this role, you will design, implement, and curate high-quality machine learning datasets, tasks, and evaluation workflows that power the training and benchmarking of advanced AI systems. This position is ideal for engineers who have excelled in competitive machine learning settings such as Kaggle, possess deep modelling intuition, and can translate co...

As an AI Engineer with 4+ years of experience in building and deploying AI/ML solutions, you will be responsible for the following key responsibilities: - Designing, developing, and deploying machine learning and deep learning models for various business use cases. - Building scalable, end-to-end AI pipelines including data preprocessing, model training, evaluation, and production deployment. - Collaborating with product, engineering, and data teams to translate business requirements into AI-driven solutions. - Optimizing models for performance, accuracy, and scalability in production environments. - Conducting research on emerging AI/ML techniques and evaluating their applicability to ongoi...

Role Overview: As a Mid-level AI/ML Engineer at our company, you will be involved in designing, training, and deploying machine learning models. Your main responsibilities will include collaborating with product and engineering teams to integrate AI models into real-world applications. This role is perfect for individuals with a strong hands-on background in NLP, deep learning, and reinforcement learning who are eager to work on cutting-edge AI projects at scale. Key Responsibilities: - Design, train, and fine-tune ML/DL models focusing on transformers, SLMs, LLMs, and recommender systems. - Implement RAG pipelines using vector databases such as Pinecone, Weaviate, FAISS, and frameworks like...

You will be responsible for designing, developing, and deploying AI/ML models and Generative AI solutions to enhance enterprise applications such as CRM, ERP, CX, and Finance. Your role will involve building and integrating machine learning pipelines into existing business systems and workflows. Collaborating with product and platform teams to identify opportunities for AI-driven automation, insights, and personalization will be crucial. Additionally, you will fine-tune and optimize LLMs and other ML models for enterprise use cases. Developing APIs and microservices to expose AI capabilities to broader platforms will also be part of your responsibilities. Ensuring that models meet requiremen...

As a skilled DevOps Engineer with strong MLOps expertise, your role will involve designing, implementing, and maintaining CI/CD pipelines for ML model training, testing, and deployment. You will be responsible for managing containerization and orchestration using Docker and Kubernetes, as well as automating infrastructure provisioning using Terraform/CloudFormation. Additionally, you will implement and manage MLOps tools such as Kubeflow, MLflow, Airflow, SageMaker, etc. It will be crucial for you to ensure scalability, reliability, and monitoring of ML/AI production systems while collaborating closely with data scientists and ML engineers to operationalize ML models. Your tasks will also in...

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...

About the Company BespokeLabs is a venture-backed startup founded by seasoned IIT and Ivy League alumni. We specialize in building cutting-edge, AI-driven systems and next-gen digital products. Our mission is to harness advanced machine learning to solve real-world problems with speed, precision, and scale. About the Role We require candidates with 2-5+ years of applied ML experience or strong Kaggle competition history. Ideal applicants are proficient in Python and have experience designing realistic ML problems, evaluating dataset quality, and building reproducible ML pipelines. Familiarity with benchmarking, scoring methodologies, and ML evaluation best practices is strongly preferred. Re...

Introduction IBM Infrastructure is a catalyst that makes the world work better because our clients demand it. Heterogeneous environments, the explosion of data, digital automation, and cybersecurity threats require hybrid cloud infrastructure that only IBM can provide. Your ability to be creative, a forward-thinker and to focus on innovation that matters, is all support by our growth minded culture as we continue to drive career development across our teams. Collaboration is key to IBM Infrastructure success, as we bring together different business units and teams that balance their priorities in a way that best serves our client's needs. IBM's product and technology landscape includes Resea...

Introduction IBM Infrastructure is a catalyst that makes the world work better because our clients demand it. Heterogeneous environments, the explosion of data, digital automation, and cybersecurity threats require hybrid cloud infrastructure that only IBM can provide. Your ability to be creative, a forward-thinker and to focus on innovation that matters, is all support by our growth minded culture as we continue to drive career development across our teams. Collaboration is key to IBM Infrastructure success, as we bring together different business units and teams that balance their priorities in a way that best serves our client's needs. IBM's product and technology landscape includes Resea...

Introduction IBM Infrastructure is a catalyst that makes the world work better because our clients demand it. Heterogeneous environments, the explosion of data, digital automation, and cybersecurity threats require hybrid cloud infrastructure that only IBM can provide. Your ability to be creative, a forward-thinker and to focus on innovation that matters, is all support by our growth minded culture as we continue to drive career development across our teams. Collaboration is key to IBM Infrastructure success, as we bring together different business units and teams that balance their priorities in a way that best serves our client's needs. IBM's product and technology landscape includes Resea...

As a part of the Beghou team, you will be involved in designing, developing, and deploying AI solutions specifically tailored to pharmaceutical clients. Your collaboration with cross-functional teams, including data scientists, business consultants, and software developers, will be crucial in translating complex life sciences challenges into AI-driven innovations. Key Responsibilities: - Design and implement AI/ML pipelines to address real-world problems in life sciences such as territory alignment, rep scheduling, patient segmentation, and incentive compensation optimization. - Work closely with domain consultants to understand client requirements and develop customized AI solutions. - Lead...

As a Senior AI Engineer at Mantra Softech, you will be at the forefront of building intelligent systems that combine embedded sensing, AI at the edge, predictive maintenance, and natural language interfaces for home-automation projects. Your role will involve driving research initiatives, developing AI agents, designing and implementing AI/ML pipelines, optimizing models for deployment on embedded hardware, integrating real-time streaming data into analytics pipelines, and collaborating on cloud infrastructure for scalable backend and edge-cloud sync. **Key Responsibilities:** - Drive research initiatives and proof-of-concepts in generative AI and large-scale machine learning - Develop AI ag...

Role Overview: Join the growing AI team at NewCold as an AI Associate (ML) and contribute to building real-world machine learning solutions that have a direct impact on business performance. This role offers an exciting opportunity to collaborate with experienced professionals, tackle live data problems, and advance your career in a dynamic and collaborative environment. Key Responsibilities: - Design, train, and deploy ML models for various applications in supply chain, logistics, finance, and operations. - Develop ML models for forecasting, classification, clustering, and anomaly detection using real business data. - Engage in the full ML lifecycle, including data preparation, feature engi...

As a Machine Learning Engineer, you will work closely with cross-functional teams to define ML problems and objectives. You will be responsible for researching, designing, and implementing various machine learning algorithms and models such as supervised, unsupervised, deep learning, and reinforcement learning. Your tasks will also include analyzing and preprocessing large-scale datasets for training and evaluation, as well as training, testing, and optimizing ML models to ensure accuracy, scalability, and performance. Deploying ML models in production using cloud platforms and/or MLOps best practices will be a key part of your role. You will monitor and evaluate model performance over time ...

About Company : Our client is a trusted global innovator of IT and business services. They help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe. Job Title: LLM Engineering Manager Location: Pan India Experience: 9+ yrs. Job Type : Contract to hire. Notice Period:- Immediate joiners. Mandatory Skills: 9+ yrs of strong background in Machine Learning, NLP, and modern de...

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Location : Bangalore or Pune WHAT YOU'LL BUILD: We are seeking a senior AI specialist to design, develop, and deploy AI/ML and Generative AI solutions integrated with SAP systems. This role combines ...

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. To...

As a Data Analyst at PwC, you will play a crucial role in utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your responsibilities will include: - Leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. We are currently seeking a highly skilled MLOps/LLMOps Engineer to join PwC US - Acceleration Center. In this role, you will be responsible for: - Deployment, scaling, and maintenance of Generative AI models. - Ensuring seamless integration and operation of GenAI models within production environments at PwC and our clients. As a candidate, y...

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Machine Learning Engineer Type: Hourly contractor Compensation: $14/hour Location: Remote Commitment: 2040 hours/week Role Responsibilities Design and implement scalable ML pipelines for model training, evaluation, and continuous improvement. Build and fine-tune deep learning models for reasoning, code generation, and real-world decision-making. Collaborate with data scientists to collect and preprocess training data, ensuring quality and r...

You will be responsible for developing and implementing machine learning models for structured and unstructured data. Your duties will include performing data preprocessing, feature engineering, and exploratory data analysis using Pandas and NumPy. Additionally, you will design and maintain end-to-end ML pipelines for training, validation, deployment, and monitoring. You will apply and fine-tune ML algorithms using Scikit-learn, TensorFlow, and PyTorch. Utilizing PySpark for large-scale data processing and distributed ML workloads will also be part of your role. Moreover, you will implement and manage model deployment using AWS SageMaker, Azure ML, or GCP Vertex AI. Keeping track of experime...

Role Overview: As a Python/PySpark Engineer in our data and analytics team, you will play a crucial role in developing scalable data pipelines, working with big-data technologies, and supporting machine learning workflows in production environments. Your expertise in AI/ML concepts will be highly valued as you collaborate with data scientists to prepare, transform, and operationalize data for ML models. Key Responsibilities: - Develop and optimize data pipelines using Python and PySpark. - Work with large-scale datasets in distributed computing environments. - Collaborate with data scientists to prepare, transform, and operationalize data for ML models. - Implement and maintain data quality,...

As a QA Engineer with our renowned multinational telecommunications client, you will play a crucial role in ensuring the high-quality delivery of IoT experiences at scale for global users. Your expertise in testing connected devices, firmware, companion apps, and cloud interfaces will be instrumental in driving end-to-end testing across complex, cross-device ecosystems. **Responsibilities:** - Create and execute scripts for functional UI/UX, AI model automation, and testing on SW applications - Conduct internationalization testing and language-dependent functional validation - Test IoT-specific interaction patterns and expanded UI features - Collaborate with product/design teams to review de...