1524 Mlops Jobs - Page 9

As a Databricks Specialist at Birlasoft, your role involves designing, implementing, and maintaining the data platform using Databricks on the Microsoft Azure cloud. You will collaborate with cross-functional teams to ensure the scalability, reliability, and performance of analytics and data solutions. **Key Responsibilities:** - Manage and administer the Databricks platform, including the Unity Catalog, to support data engineering and data science workflows. - Work with Unity Catalog to organize, discover, and govern data assets within the Databricks platform. - Maintain the data quality and consistency within the Unity Catalog. - Collaborate with data engineers and data scientists to under...

MLOps Engineer (Exempt) Enterprise AI/ML Organization OVERVIEW We are looking for an experienced MLOps Engineer to support our AI and ML initiatives, including GenAI platform development, deployment automation, and infrastructure optimization. You will play a critical role in building and maintaining scalable, secure, and observable systems that power scalable RAG solutions, model training platforms, and agentic AI workflows across the enterprise. RESPONSIBILITIES Design and implement CI/CD pipelines for AI and ML model training, evaluation, and RAG system deployment (including LLMs, vectorDB, embedding and reranking models, governance and observability systems, and guardrails). Provision an...

Design, build, and deploy end-to-end machine learning solutions across structured (tabular) medical datasets and unstructured/non-tabular data (text, images, OCR, signals). Apply advanced ML, deep learning, and LLM-based approaches to solve real-world healthcare/medical challenges. Collaborate with cross-functional teams (engineering, product, domain experts) to translate business requirements into scalable data science solutions. Drive MLOps best practices: experiment tracking, model versioning, CI/CD, monitoring, and automated retraining pipelines. Ensure production-grade robustness using Test-Driven Development (TDD) and OOP principles in ML pipelines. Contribute to architecture discussio...

2 yrs of exp in Data Science, NLP & Python Exp in Gen AI+ MLOps Exp in Text data analysis, Prompt Eng, Cloud Vector DB ,Azure OpenAI models API, Graph QL Exp in LLMs, LLM frameworks Exp in Java ,C++,libraries(NLTK, SpaCy, TensorFlow) Exp in big data

2 yrs of exp in Data Science, NLP & Python Exp in Gen AI+ MLOps Exp in Text data analysis, Prompt Eng, Cloud Vector DB ,Azure OpenAI models API, Graph QL Exp in LLMs, LLM frameworks Exp in Java ,C++,libraries(NLTK, SpaCy, TensorFlow) Exp in big data

2 yrs of exp in Data Science, NLP & Python Exp in Gen AI+ MLOps Exp in Text data analysis, Prompt Eng, Cloud Vector DB ,Azure OpenAI models API, Graph QL Exp in LLMs, LLM frameworks Exp in Java ,C++,libraries(NLTK, SpaCy, TensorFlow) Exp in big data

About the Role We are looking for an experienced QA Lead AI Systems to lead the validation and quality assurance of AI-powered products, including LLM/RAG systems, Software as a Medical Device (SaMD), and other AI-driven digital solutions. This is a key leadership role responsible for establishing end-to-end QA frameworks, validation strategies, and compliance processes for AI/ML models across development and deployment pipelines. The ideal candidate will bridge data science, software engineering, and regulatory QA to ensure AI systems meet performance, safety, and compliance standards. Key Responsibilities Own and drive QA strategy for AI systems across the model, data, and product lifecycl...

Exp: 5+ yrs Location: Hybrid 2 days to office(Hyd or Pune) Shift: 12pm to 9pm JD: Data Bricks Developer with Python, Pyspark, MLOPS, Pyspark & SQL

10+ years of experience in AI/ML, with at least 3 years in a leadership role. • Strong proficiency in Python, • Deep understanding of ML algorithms, model lifecycle, and MLOps. • Experience with GenAI, LLMs, vision models. •

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...

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...

Role & responsibilities: Understand the requirements from the business and translate it into an appropriate technical requirement. Responsible for successful delivery of MLOps solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client. Assist clients with operationalization metrics to track performance of ML Models Help team with ML Pipelines from creation to execution Guide team to debug on issues with pipeline failures Understand and take requirements on Operationalization of ML Models from Data Scientist Engag...

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...

Python Fundamentals including Syntax, Data Types & Control Structures Design Principles with hands-on experience in SOLID principles, design patterns. ML and MLOps pipelines Familiarity with Apache open-source tools like Spark, Kafka, Airflow, etc.

You have a great opportunity to join the team as a Python Developer specializing in AI-driven applications. As a Python Developer at our company, your primary responsibilities will include developing and integrating LLMs into the WayVida platform using LangChain. You will also design, develop, and optimize scalable FastAPI services for AI-driven applications. Additionally, you will be building and maintaining high-performance APIs to support AI-based functionalities, working with large-scale datasets for training and fine-tuning LLMs, and improving system efficiency, response times, and model inference speeds. Collaboration with AI and Product Teams is crucial for deploying AI solutions effe...

You will be joining Nasdaq's Data Product Development and Innovation (DPDI) group as a Specialist Data Science in the Bangalore technology center in India. Nasdaq is dedicated to revolutionizing markets and embracing new technologies to develop innovative solutions. If you are driven by innovation and efficiency, this is the ideal place for you. You will be part of the AI and Automation team in Bangalore, applying cutting-edge AI technologies to solve complex data and workflow challenges. Your responsibilities will include: - Working with Product and Tech teams to enhance AI-based microservices using state-of-the-art LLMs. - Collaborating with various departments to modernize workflows using...

As a Senior Software Engineer specializing in Machine Learning (ML) at Clarivate's Patent Service team in Noida, your primary focus will be on supporting ML projects. You will be responsible for deploying, scaling, and maintaining ML models in production environments. Collaborating closely with data scientists, ML engineers, and software developers, you will architect robust infrastructure, implement automation pipelines, and ensure the reliability and scalability of our ML systems. Key Responsibilities: - Designing and developing machine learning systems - Implementing appropriate ML algorithms and analyzing their success probability - Running ML tests, experiments, and statistical analysis...

As a GenAI Architect with 8-10 years of experience, your role will involve designing and implementing Generative AI solutions. Your strong background in AI/ML, hands-on experience with LLMs, and ability to architect scalable and secure AI platforms will be key in this role. **Key Responsibilities:** - Design end-to-end architectures for Generative AI systems - Lead model fine-tuning, prompt engineering, and deployment strategies - Collaborate with data scientists, engineers, and business teams to define AI solutions - Implement and optimize LLM pipelines using tools like LangChain, Transformers, and vector databases - Ensure security, scalability, and performance of AI solutions - Stay up to...

Job Description: You will be a Senior AIML and Gen AI professional at Magellanic Cloud, working on-site in Hyderabad. Your main responsibility will be utilizing advanced AI and machine learning technologies to create innovative solutions for real-world problems. Key Responsibilities: - Utilize 6-8 years of experience in AI/ML, LLMs, RAG, and Gen AI to develop cutting-edge solutions. - Demonstrate expertise in Python, TensorFlow, PyTorch, LangChain, and Hugging Face. - Work with AWS Bedrock, AWS Nova, Azure AI, Vertex AI, and OpenAI APIs. - Implement MLOps to automate AI model deployment. - Hands-on experience with Vector DBs such as Pinecone, FAISS, and ChromaDB. Qualifications Required: - 6...

Role Overview: As a Senior Full Stack Python Developer, your primary responsibility will be to design, develop, and maintain scalable applications using Python and related frameworks. You will work with Databricks to build, optimize, and manage data pipelines and workflows. Additionally, you will write efficient and optimized SQL queries for data manipulation and reporting. Collaboration with cross-functional teams to deliver end-to-end solutions, ensuring application security, scalability, and performance standards are met will be a key aspect of your role. You will also explore and integrate Large Language Models (LLMs) APIs and frameworks. Key Responsibilities: - Design, develop, and main...

As a member of the platform team, your role will involve building and enhancing a production-grade AI-powered virtual assistant that provides real-time technical support and enhances decision-making through interactive engagement. You will need to have a deep understanding of agentic AI systems and enterprise Java development for this production-focused position. Key Responsibilities: - Design and deploy production-ready AI conversational agents using Java-based architectures - Develop agentic AI systems with advanced reasoning and decision-making capabilities - Create sophisticated prompt engineering strategies for complex multi-turn conversations - Implement and fine-tune LLMs and NLP pipe...

In this role as a Data & AI Delivery Head, you will be responsible for leading end-to-end delivery of Data, AI/ML, and Advanced Analytics programs for global clients. Your expertise in data engineering, AI/ML, cloud platforms, and stakeholder management will be crucial for scaling delivery operations and building high-performance teams. **Key Responsibilities**: - **Delivery Leadership**: - Own end-to-end delivery for Data & AI programs across multiple clients. - Ensure projects are delivered on time, within budget, and aligned with business objectives. - Implement delivery best practices, governance frameworks, and agile methodologies. - **Client & Stakeholder Management**: - Act as the pri...

Role Overview: As an AI/ML Engineer, your role will involve designing, training, and deploying AI/ML models for enterprise use cases. You will be responsible for integrating AI models into enterprise applications using cloud-native architectures, implementing data pipelines, feature engineering, and model evaluation frameworks. Additionally, you will optimize models for performance, scalability, and cost-efficiency while ensuring security, compliance, and governance in AI solutions. Your role will also include training and mentoring team members on AI/ML concepts, tools, and best practices, as well as collaborating with product and engineering teams to deliver AI-driven features. Key Respons...