1524 Mlops Jobs - Page 8

Role Overview: As a Software Engineer- Chatbot Developer at CommBank, your role will involve designing, developing, and implementing chatbot solutions using Azure, ServiceNow, and Microsoft Teams platforms. You will collaborate with cross-functional teams to analyze, design, and develop software solutions following an Agile methodology. Your responsibilities will include writing clean, efficient, and well-documented code, participating in code reviews, troubleshooting and debugging issues, and ensuring adherence to coding standards and best practices. Key Responsibilities: - Design, develop, and implement chatbot solutions using Azure, ServiceNow, and Microsoft Teams platforms. - Collaborate...

Key Responsibilities : Design and implement end-to-end data pipelines for training and fine-tuning LLMs, including dataset creation, cleaning, augmentation, and labeling workflows. Apply advanced RAG techniques, prompt engineering, and model fine-tuning (LoRA, PEFT, adapters) for domain-specific use cases. Integrate AI models with backend and frontend systems via APIs, batching, caching, and streaming responses. Deploy and optimize LLMs & embeddings using APIs and/or open-source models (OpenAI, Anthropic, LLaMA-family, Mistral, etc.). Develop and maintain secure AI APIs using FastAPI/gRPC with Kubernetes and CI/CD pipelines. Implement safety and compliance layers including prompt injection d...

Role Overview: You are being sought after to join a team as a Fresher Python Developer with AI/ML expertise. In this role, your responsibilities will include designing, developing, and optimizing Python-based AI/ML applications. You will also be tasked with implementing and fine-tuning NLP models for chatbot development, working with large-scale datasets to train and evaluate machine learning models, and developing and integrating AI algorithms to enhance chatbot performance. Collaboration with cross-functional teams such as Data Science, Backend, and Frontend will be essential to improve AI-driven features. Additionally, you will need to optimize existing models for performance, scalability...

As a Senior Associate in data analysis at PwC, you will play a crucial role in leveraging data to drive insights and support clients in making informed business decisions. Your responsibilities will include utilizing advanced analytics techniques to extract insights from large datasets, manipulating data, creating visualizations, and employing statistical modeling to solve complex business problems. Key Responsibilities: - Proven expertise in supply chain analytics including demand forecasting, inventory optimization, logistics, segmentation, and network design - Hands-on experience with optimization methods like linear programming, mixed integer programming, scheduling optimization, and usi...

As a Data Scientist at Lifease Solutions LLP, your main responsibility will be to develop machine learning and deep learning models for predicting match scores & outcomes, team & player performances, and statistics. You will also be involved in in-depth cricket analytics to analyze player form, team strengths, matchups, and opposition weaknesses. Additionally, you will work on data processing & engineering tasks, model deployment & MLOps, and performance metrics & model explainability. Key Responsibilities: - Develop ML/DL models for predicting match scores & outcomes, team & player performances, and statistics. - Implement time-series forecasting models (LSTMs, Transformers, ARIMA, etc.) fo...

Role & responsibilities DevOps tools (Jenkins, Git/Github, Docker) and configuration management (Ansible, Vagrant, Terraform, Chef). More than8 years of experience in MLOps, DevOps or a related field. Bachelors degree in Computer Science, Data Science or a related field. Strong understanding of machine learning principles and model lifecycle management. Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services. Familiarity with containerization and orchestration tools such as Docker and Ku...

Responsibilities: * Develop generative AI models using Hugging Face, Prompt Engineering & NLP DL. * Implement LLM strategies with PyTorch, Agentic AI & MLOps.

As a Data Scientist at Setu, you will play a crucial role in revolutionizing the fintech landscape by leveraging Data Science to understand and cater to the diverse financial needs of 1.4 billion people in India. You will have the opportunity to work on critical, scalable, and high-value use cases, contributing to the future of fintech. Your work will involve exploring innovative solutions, pushing boundaries, and making a tangible difference in the industry. Key Responsibilities: - Demonstrate passion for Setu's mission and vision, showcasing dedication, perseverance, and high ownership. - Create value for customers and stakeholders through the delivery of high-quality outcomes consistently...

Role Overview: As a member of the Global Data & AI Architecture team at PepsiCo, your main role will be to define the appropriate architecture that supports high-priority data, analytics, and AI capabilities. Key Responsibilities: - Define AI north star architecture and tech strategy, including leading tech evaluation and selection, and ensuring alignment across various stakeholders such as AI Solutions and Platform, Data Science, Enterprise Solutions, and Digital Products and Applications team. - Establish AI architecture principles and design patterns to cater to all types of AI (ML, DL, Generative AI) for guiding AI solution development. - Conduct regular market research to keep abreast o...

As a Visiting Faculty at SDBI School of Data Science and Business Intelligence in Mumbai, your role involves delivering in-person sessions for B.Sc. & M.Sc. Data Science students in the areas of Full Stack Development, DevOps, and MLOps. Your responsibilities include: - Aligning your sessions with the academic calendar for weekday classes - Teaching foundational and advanced concepts in your subject domain - Conducting hands-on demos, assignments, and case studies - Mentoring students on career paths and project-based learning - Ensuring timely syllabus delivery by coordinating with the academic team To qualify for this position, you must: - Be based in Mumbai with on-campus presence mandato...

Job Description: As an experienced professional with 15 to 23 years of expertise in Vision AI Solution, Nvidia, Computer Vision, Media, and Open Stack, you will play a crucial role in defining and leading the technical architecture for vision-based AI systems across edge and cloud environments. Your responsibilities will include designing and optimizing large-scale video analytics pipelines, architecting distributed AI systems, collaborating with cross-functional teams to develop scalable AI solutions, leading efforts in model optimization, integrating multi-modal AI, guiding platform choices, mentoring senior engineers, staying updated with emerging technologies, and contributing to interna...

Role Overview: As a Python Machine Learning & AI Developer at Chicmic Studios, you will be instrumental in the development and maintenance of web applications by utilizing your expertise in Python, Django, Flask, and AI/ML technologies. Your primary responsibilities will include: Key Responsibilities: - Develop and maintain web applications using Django and Flask frameworks. - Design and implement RESTful APIs with Django Rest Framework (DRF). - Deploy, manage, and optimize applications on AWS services like EC2, S3, RDS, Lambda, and CloudFormation. - Build and integrate APIs for AI/ML models into existing systems. - Create scalable machine learning models using PyTorch, TensorFlow, and sciki...

As the Applications Development Senior Group Manager at our company, you will be responsible for leading a team to establish and implement new application systems and programs in coordination with the Technology Team. Your main objective will be to drive applications systems analysis and programming activities. You will be the Head of Applied AI Engineering, leading the design, development, and deployment of AI-driven solutions for our Banking division, encompassing Investment (ECM, DCM, M&A), Corporate and Commercial Banking. This role will involve integrating intelligent automation and data-driven decision-making into dealmaking processes. - **Strategic AI Leadership:** - Identify high-imp...

As the Ecosystem Manager at Exotel's House of AI, your mission is to design, assemble, and manage the ecosystem for applied voice AI solutions. This is a cross-functional leadership role where you will be responsible for identifying, evaluating, and onboarding best-in-class vendors, designing and governing the stack, managing vendor and infrastructure operations, and enabling internal teams. Your goal is to build the infrastructure for AI solutions and ensure high velocity in delivering customer-specific AI solutions. - Identify, evaluate, and onboard best-in-class vendors across the 10-component stack (voice SLMs, RAG, LLMOps, integration agents, etc.) - Negotiate commercial and integration...

As an AI Engineer and Data Scientist, you will be part of a dynamic team focused on developing and deploying cutting-edge machine learning models and algorithms to drive innovative solutions. Your role will involve collaborating with cross-functional teams to create scalable and efficient machine learning solutions. Here is a breakdown of your responsibilities and qualifications: You will be responsible for designing, developing, and deploying machine learning models and algorithms to solve complex business problems. Your work will involve data preparation, feature engineering, model evaluation, deployment, research & innovation, collaboration, and documentation. - Design, implement, and opt...

Key Responsibilities : - Design and implement end-to-end MLOps pipelines for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of ML models. - Manage and optimize the production environment for ML models, using containerization (Docker) and orchestration (Kubernetes) to ensure scalability and reliability. - Implement monitoring and logging solutions to track model performance, data drift, and potential anomalies in production. - Collaborate with data scientists to transition models from research and development into a production-ready state. - Automate the retraining and redeployment of models to maintain accuracy and adapt to new data. - Troubleshoot and resolv...

Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence docum...

Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence docum...

Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence docum...

Key Responsibilities : - Design and implement end-to-end MLOps pipelines for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of ML models. - Manage and optimize the production environment for ML models, using containerization (Docker) and orchestration (Kubernetes) to ensure scalability and reliability. - Implement monitoring and logging solutions to track model performance, data drift, and potential anomalies in production. - Collaborate with data scientists to transition models from research and development into a production-ready state. - Automate the retraining and redeployment of models to maintain accuracy and adapt to new data. - Troubleshoot and resolv...

Key Responsibilities : - Design and implement end-to-end MLOps pipelines for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of ML models. - Manage and optimize the production environment for ML models, using containerization (Docker) and orchestration (Kubernetes) to ensure scalability and reliability. - Implement monitoring and logging solutions to track model performance, data drift, and potential anomalies in production. - Collaborate with data scientists to transition models from research and development into a production-ready state. - Automate the retraining and redeployment of models to maintain accuracy and adapt to new data. - Troubleshoot and resolv...

We're hiring a Research-Focused Machine Learning Engineer to help design the next generation of neural architectures. You'll experiment with multi-modal learning, optimize large models, and turn breakthrough research into production-ready systems. Provident fund Annual bonus Health insurance Office cab/shuttle Food allowance

Experience: 3+ years of experience in platform engineering, DevOps, or systems engineering, with a strong focus on machine learning and AI workloads. Proven experience working with LLM workflows, and GPU-based machine learning infrastructure. Hands-on experience in managing distributed computing systems, training large-scale models, and deploying AI systems in cloud environments. Strong knowledge of GPU architectures (e.g., NVIDIA A100, V100, etc.), multi-GPU systems, and optimization techniques for AI workloads. Technical Skills: Proficiency in Linux systems and command-line tools. Strong scripting skills (Python, Bash, or similar). Expertise in containerization and orchestration technologi...

Role Overview: As an experienced and innovative Generative AI Architect, your role will involve leading the design and implementation of cutting-edge GenAI solutions across various business domains. You will play a pivotal role in defining the architectural blueprint for scalable and secure systems that leverage Large Language Models (LLMs), transformers, and multimodal AI frameworks. Key Responsibilities: - Architect and deliver end-to-end GenAI solutions using LLMs (OpenAI, PaLM, Claude, Mistral, etc.) for enterprise use cases such as summarization, content generation, copilots, search, and Q&A systems. - Lead technical design and integration of foundation models into internal and external...

About Position: We are seeking an AI Data Scientist to support the development and implementation of AI/ML/GenAI solutions in the healthcare and clinical research domain. This role will focus on optimizing clinical trial operations, automating documentation, and enhancing digital healthcare applications using cutting-edge AI technologies. Role: AI Data Scientist Job Location: All Persistent locations Experience: 4 to 8 Years Job Type: Full Time Employment What You'll Do: Develop and implement AI/ML/GenAI solutions for clinical trial optimization (e.g., patient recruitment, retention, real-time monitoring). Build GenAI applications for automated documentation (e.g., medical reports, study pro...