1552 Mlops Jobs - Page 19

Strong Python skills,Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch. Azure ML, AWS SageMaker, Lambda, EC2, S3 MLOps(MLflow, Kubeflow, Airflow), (Docker), Kubernetes CI/CD: Git, GitHub, Azure DevOps, or AWS CodePipeline. Prometheus, Grafana Required Candidate profile The ideal candidate will have strong proficiency in Python, experience with both Azure and AWS, and a solid understanding of MLOps practices.

As an AI/ML Engineer, you will have the responsibility to design, train, and deploy AI/ML models, including offline deployment for enterprise use cases. You will work on integrating AI models into enterprise applications using cloud-native architectures. Additionally, you will implement data pipelines, feature engineering, and model evaluation frameworks. Your role will also involve optimizing models for performance, scalability, and cost-efficiency while ensuring security, compliance, and governance in AI solutions. Furthermore, you will be required to train and mentor team members on AI/ML concepts, tools, and best practices, and collaborate with product and engineering teams to deliver AI...

As an AI Solution Designer and Implementor for Retail Analytics Engineering Platforms, your role will involve architecting and implementing enterprise-scale AI/ML solutions. You will be responsible for designing and deploying intelligent AI agents, optimizing NLP/document processing pipelines, and leading the development of Retrieval-Augmented Generation (RAG) systems. Additionally, you will establish LLMOps/MLOps practices and collaborate with cross-functional teams to drive cloud adoption and IT infrastructure modernization. Key Responsibilities: - Architect and implement enterprise-scale AI/ML solutions including Generative AI, Agentic systems, and LLM applications (including fine-tuning)...

Role Overview: As a Manager - AI Product at Vivriti Group, you will be responsible for owning the end-to-end lifecycle of AI/ML products focused on wholesale lending. Your role will involve activities ranging from ideation and strategy to development, launch, and iteration. It is crucial for you to collaborate with data scientists, engineers, designers, credit, risk, and business stakeholders to ensure that AI initiatives align with user needs and business goals. Key Responsibilities: - Define and execute the AI product roadmap in collaboration with leadership and cross-functional teams. - Translate business problems into clear AI/ML product requirements. - Collaborate with data scientists a...

Role Overview: You will be responsible for developing enterprise applications using .Net, .Net core, and C#. You are expected to have a strong understanding of event-driven and microservices architecture, along with SOLID design principles, Dependency Injection, and event sourcing. Your role will involve writing automated unit tests, understanding BDD using Specflow, and working on distributed application development using middleware technologies like MQ/Solace/Kafka. Additionally, you will need to have hands-on skills in automated testing, continuous integration, Git source control, and be able to drive and deliver tasks independently. Your proactive approach towards automation and innovati...

As a Technical Architect at Quadance Technologies Private Limited, your role will involve leading the design and development of scalable, enterprise-level applications and AI/ML solutions. You will be responsible for collaborating with stakeholders to translate requirements into maintainable architectures, implementing end-to-end solutions, providing technical leadership to development teams, and ensuring adherence to architectural standards. Additionally, you will participate in technical discussions with client teams, evaluate emerging technologies, and drive innovation in architecture and solutioning. Your key responsibilities will include: - Lead the architectural design and development ...

As a Subject Matter Expert in ML or LLM Ops at CitiusTech, you will play a crucial role in guiding the organization's MLOps and LLMOps strategy. Your responsibilities will include providing strategic direction, technical leadership, and overseeing the development of scalable infrastructure and processes to ensure alignment with business objectives. - Designing and implementing robust pipelines for ML and LLM models - Focusing on efficient deployment and continuous optimization - Collaborating with cross-functional teams to seamlessly integrate ML and LLM models into production workflows - Communicating complex technical concepts clearly to both technical and non-technical audiences The ideal...

Role Overview: You are an experienced Snowflake Architect with over 12 years of experience in data warehousing, cloud architecture, and Snowflake implementations. Your expertise lies in designing, optimizing, and managing large-scale Snowflake data platforms to ensure scalability, performance, and security. You are expected to possess deep technical knowledge of Snowflake, cloud ecosystems, and data engineering best practices. Key Responsibilities: - Lead the design and implementation of Snowflake data warehouses, data lakes, and data marts. - Define best practices for Snowflake schema design, clustering, partitioning, and optimization. - Architect multi-cloud Snowflake deployments with seam...

As a Lead Data Engineer at Mastercard, you will be a key player in the Mastercard Services Technology team, responsible for driving the mission to unlock the potential of data assets by innovating, managing big data assets, ensuring accessibility of data, and enforcing standards and principles in the Big Data space. Your role will involve designing and building scalable, cloud-native data platforms using PySpark, Python, and modern data engineering practices. You will mentor and guide other engineers, foster a culture of curiosity and continuous improvement, and create robust ETL/ELT pipelines that integrate with various systems. - Decompose complex problems into scalable components aligned ...

Role Overview: You will be joining a leading experiential Media and Martech organization as an AI expert and innovator within a newly formed Centre of Excellence for Artificial Intelligence. Your role will involve designing, deploying, and scaling custom AI applications that have a direct impact on clients and internal efficiencies. This position offers a unique opportunity to be part of a global network solving pressing client challenges and setting the blueprint for AI innovation. Key Responsibilities: - Design, prototype, and deploy high-impact AI/ML models (e.g., marketing portfolio optimization, audience segmentation, content personalization) to deliver measurable business outcomes. - A...

As a Machine Learning Engineer at our company, you will be responsible for designing and developing scalable AI and machine learning models to address complex business challenges. Your role will involve leading end-to-end model development, including data collection, preprocessing, training, validation, deployment, and monitoring. Collaboration with cross-functional teams, such as data engineers, software developers, and product managers, will be essential. Additionally, you will optimize existing AI models for enhanced performance and accuracy. Key Responsibilities: - Design and develop scalable AI and machine learning models - Lead end-to-end model development process - Collaborate with cr...

As a Senior Data Engineer at our company, you will be responsible for designing and implementing scalable data pipelines, productionizing ML workflows, and ensuring system observability. This is a hands-on role that requires expertise in Databricks, Spark, AWS, and MLOps. Your coding skills and execution focus will be crucial in contributing from day one. **Key Responsibilities:** - Build and optimize data pipelines using Databricks and Spark. - Implement MLOps best practices such as CI/CD, MLflow/SageMaker, monitoring, and retraining. - Develop and manage cloud-native solutions on AWS. - Design and monitor KPIs for data systems. - Apply data observability practices to ensure reliability and...

Role Overview: As a Data Scientist at UST, you will independently develop data-driven solutions to tackle complex business challenges by utilizing analytical, statistical, and programming skills to collect, analyze, and interpret large datasets under supervision. Your role involves working closely with stakeholders across the organization to identify opportunities for leveraging customer data in creating models that generate valuable business insights. You will be responsible for creating new experimental frameworks, building automated tools for data collection, correlating similar datasets, and deriving actionable results. Additionally, you will develop predictive models and machine learnin...

As an AI Engineer with 5 to 8 years of experience and immediate availability, you will be based in Chennai, Pune, Bangalore, Noida, or Gurgaon. Your primary responsibility will involve designing, developing, and deploying Generative AI and LLM-based solutions. This includes utilizing tools like Langchain and Retrieval-Augmented Generation (RAG) pipelines to create intelligent, context-aware systems. Collaboration with the engineering team is key to shaping the technical roadmap for LLM initiatives and translating business requirements into scalable AI solutions. You will also work closely with business SMEs and data teams to ensure that AI models are aligned with real-world use cases. Additi...

As a Senior Data Scientist at AuxoAI, you will play a crucial role in leading strategic initiatives by applying advanced algorithms and scientific rigor to solve high-impact business problems and guide AI-native product development. Your technical depth, curiosity, and discipline will be key as you mentor others and translate complexity into clarity. **Responsibilities:** - Lead the design and development of algorithms across ML, causal inference, and AI problem spaces - Conduct exploratory data analysis, feature engineering, and statistical modeling with an emphasis on interpretability and reproducibility - Benchmark and optimize models using advanced algorithms such as gradient boosting (X...

As a Senior Data Scientist at AuxoAI, you will play a significant role in designing, deploying, and scaling production-grade ML systems. Your expertise in AI, machine learning engineering (MLE), and generative AI will be utilized to work on large language model (LLM)-based pipelines, AI copilots, and agentic workflows to build impact-first AI applications. This role requires a balance between cutting-edge research and production rigor, along with a passion for mentoring team members. **Key Responsibilities:** - Own the full ML lifecycle: model design, training, evaluation, deployment - Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection - Fine-tune LLMs ...

As an experienced Edge AI & Embedded Systems Trainer, you will be responsible for delivering a hands-on training program for corporate learners. Your role will involve teaching various concepts and technologies related to Edge AI and Embedded Systems. Key Responsibilities: - Teach Edge AI concepts and inference engines - Instruct on Neural Networks including CNNs, Transfer Learning, Keras, and TensorFlow Lite - Cover Data preprocessing, CRISP-DM, and MLOps for Edge AI - Educate on different Edge hardware such as SBCs, Microcontrollers, NN Accelerators, FPGA, and GPU - Provide training on TinyML and deployment on Cortex-M devices - Guide learners on Object Detection using models like MobileNe...

As a Machine Learning Engineer at Appnext, you will play a crucial role in building end-to-end machine learning pipelines that operate at a massive scale. Your responsibilities will include handling data investigation, ingestions, model training, deployment, monitoring, and continuous optimization to ensure measurable impact through experimentation and high-throughput inference. This job combines 70% machine learning engineering and 30% algorithm engineering and data science. Responsibilities: - Build ML pipelines that train on real big data and perform on a massive scale. - Handle a massive responsibility by advertising on lucrative placements like Samsung appstore, Xiaomi phones, TrueCalle...

Role Overview: As an Artificial Intelligence/Machine Learning Engineer at CDM Smith, you will collaborate with the Data Technology group to drive strategic Architecture, Engineering, and Construction (AEC) initiatives using advanced data technologies and analytics. By leveraging AI and ML, you will provide actionable business insights and solutions for AEC professionals and client outcomes. Your focus will be on utilizing advanced analytics, data science, and AI/ML to give the business a competitive edge. Key Responsibilities: - Apply state-of-the-art algorithms and techniques such as deep learning, NLP, computer vision, and time-series analysis for domain-specific AEC use cases. - Analyze l...

Job Responsibilities: Architecture & Strategy Operational Excellence, Collaboration & Leadership Innovation & Optimization • Design, develop, and maintain scalable data pipelines using AWS services. Design and implement scalable, secure, and resilient MLOps architecture across cloud and on-prem environments Define best practices for model lifecycle management, including versioning, deployment, monitoring, and governance Lead the selection and integration of tools for CI/CD, model registry, feature store, and data pipelines Automate workflows for data ingestion, preprocessing, training, validation, and deployment Establish monitoring and alerting systems for model performance, data drift, and...

Location: Hyderabad, Kondapur, Telangana Kindly send your resume to harisha.r@kryonknowledgeworks.com/ 91+ 93619 12010 Job Description: Title: Software Engineer - Backend (Python) About the Role: Our team is responsible for building the backend components of MLOps platform on AWS. The backend components we build are the fundamental blocks for feature engineering, feature serving, model deployment and model inference in both batch and online modes. What you'll do here: Design & build backend components of our MLOps platform on AWS. Collaborate with geographically distributed cross-functional teams. Participate in on-call rotation with the rest of the team to handle production incidents. Must ...

Key / Primary Responsibilities: ' '* Design and manage CI/CD pipelines for ML model deployment. * Provision and maintain scalable infrastructure using Kubernetes, Docker, AWS Lambda, or cloud services (AWS/GCP/Azure). * Automate model deployment workflows, ensuring reproducibility and version control. * Implement monitoring, alerting, and observability for ML systems (latency, throughput, data drift, failures). * Integrate with model orchestration pipelines (Airflow, Prefect) to support retraining and inference workflows. * Manage model registry, versioning, and rollout strategies (blue/green, canary deployments). * Ensure security, compliance, and cost optimization for ML infra. * Manage ve...

Responsibilities: * Develop predictive models using Python, SQL & NoSQL * Optimize ML workflows with MLOps tools * Collaborate with cross-functional teams on data insights * Analyze large datasets with Al & Data Science skills Provident fund

Role Overview: As the Director of AI Technology Delivery, you will lead the engineering, deployment, and management of AI solutions in the organization. Your responsibilities will include overseeing the entire process from data ingestion to model deployment and integration. You will architect and implement ML Ops pipelines to ensure secure and reliable model deployment. Your expertise in AI/ML systems, full-stack engineering, and database design will play a crucial role in driving AI products from prototype to scaled deployment globally. Key Responsibilities: - Define technical blueprints, solution architectures, and delivery plans for enterprise AI solutions - Align solutions with cloud inf...

Role Overview: As an AI Ops Expert, you will be responsible for the delivery of projects with defined quality standards within set timelines and budget constraints. Your role will involve managing the AI model lifecycle, versioning, and monitoring in production environments. You will be tasked with building resilient MLOps pipelines and ensuring adherence to governance standards. Additionally, you will design, implement, and oversee AIops solutions to automate and optimize AI/ML workflows. Collaboration with data scientists, engineers, and stakeholders will be essential to ensure seamless integration of AI/ML models into production systems. Monitoring and maintaining the health and performan...