1561 Mlops Jobs - Page 27

Position: Senior Python Developer with MLOps platform Location: Hyderabad, India (Need to work from Experian- Hyderabad office at least 2 to 3 days in a week from day one) No of Open Positions: 1 Experience:6+ Years Summary Design & build backend components of 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. Knowledge, Skills and Experience Python Programming AWS Services Flask Spark Programming knowledge (Pyspark/Scala) Async Programming boto3 Must Have Skills: Must have 5 to 9 years of working experience in Python programming with flask, FastAPI Experience wor...

Job Title: Senior Data Scientist AI & Generative AI Azure / AWS Location: Bangalore, Whitefield (Hybrid mode 2 days WFO) Experience: 5 to 12 years Role Overview We are seeking an experienced Data Scientist with strong expertise in AI/ML, Generative AI (GenAI), and Microsoft Azure cloud services . The role involves designing, developing, and deploying advanced AI solutions leveraging LLMs, generative models, and Azure-native services to deliver business impact at scale. Key Responsibilities Design and implement AI/ML models , including LLMs and generative AI architectures (e.g., GPT, Diffusion Models). Build and optimize end-to-end AI pipelines on Azure using services like Azure Machine Learn...

Experience: 8+ years of experience in the data field, with a proven track record of success in data engineering, data analysis, and data science. Education: Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field. Technical Skills: Expert proficiency in SQL and at least one programming language such as Python or R. Extensive experience with cloud platforms (e.g., AWS, GCP, Azure). Hands-on experience with big data technologies (e.g., Spark, Hadoop). Strong understanding of database technologies, including both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases.

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 Description Key Responsibilities: Lead Full-cycle Development: Take charge of the complete lifecycle of machine learning models, overseeing conception, prototyping, deployment, and iterative optimization processes to enhance performance and scalability. Architect Solutions: Utilize strong software design principles to build efficient and maintainable ML applications and services that adhere to best industry practices. Collaborative Model Development: Partner with data scientists and stakeholders to address specific business challenges, thoroughly exploring available data for effective model training and evaluation. Implement Data Pipelines: Design complex data processing workflows to ens...

At EY, you will have the opportunity to shape a career as distinctive as you are, leveraging the global reach, support, inclusive environment, and technology to reach your full potential. Your unique voice and perspective are essential to enhancing EY's capabilities further. Join us in creating an exceptional journey for yourself and contributing to a more productive working world for all. AI Engineering As an AI Engineer, you will be responsible for engineering, deploying, and maintaining AI-powered services and APIs in live environments. Your focus will encompass Python, API development, robust deployment methodologies, and end-to-end MLOps/DevOps on AWS/Azure. Collaborating with data, ML,...

As a Manager AI/ML Engineering at Coschool located in Nanakramguda, Hyderabad, you will have the opportunity to join a team dedicated to revolutionizing learning through AI technology. Coschool is committed to creating a next-generation EdTech platform that empowers educators and students to achieve their best through intelligent learning systems. Your role will involve leading and mentoring a high-performing team of AI/ML engineers, researching, prototyping, and developing robust ML models, overseeing the full AI/ML project lifecycle from data preprocessing to deployment and monitoring, and guiding the team in training, fine-tuning, and deploying LLMs using various methodologies. To excel i...

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let's push the boundaries of what's possible together. As an Applied AI/GenAI ML Director within the Asset and Wealth Management Technology Team at JPMorgan Chase, you will provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will leverage your deep expertise to consistently challenge the status quo, innovate for business impact, lead the strategic development behind new and existing products and technology portfolios, and remain at the forefront of industry trends, ...

The job involves determining and developing user requirements for systems in production to ensure maximum usability. Success in this position entails effectively gathering and analyzing user needs, translating them into functional requirements, and collaborating with cross-functional teams to deliver high-quality solutions. This role is crucial in aligning technology initiatives with business goals and driving innovation within the organization. The ideal candidate should possess excellent communication skills to effectively interact with stakeholders and articulate technical concepts in a clear and concise manner. Additionally, a solid understanding of MLOps (Machine Learning Operations) pr...

An ideal candidate for the role of AI Engineer should have 5 to 10 years of experience, as we are constructing an AI-powered workforce intelligence platform aimed at assisting businesses in optimizing talent strategies, enhancing decision-making processes, and boosting operational efficiency. Our software utilizes cutting-edge AI, NLP, and data science methodologies to extract valuable insights from extensive amounts of structured and unstructured workforce data. Joining our new AI team will provide you with the chance to engage in real-world AI applications, contribute to innovative NLP solutions, and acquire experience in developing AI-driven products from the foundation. You should posses...

You are looking for a dynamic Cloud AI/ML Engineer to join our team and contribute to building cutting-edge Agentic RAG, LLM orchestration, and NLP applications. In this role, you will be responsible for designing and deploying scalable GenAI applications, integrating LLM agents and retrieval pipelines, building secure CI/CD and MLOps pipelines, and optimizing performance and cost efficiency across cloud environments. Your expertise in NLP, Agentic RAG, LLM agents, and Python, along with a deep understanding of AWS services such as SageMaker, Bedrock, and EC2, will be crucial for success in this role. You will collaborate closely with cross-functional teams to ensure compliance, monitoring, ...

As a Backend Engineer at our fast-growing startup, you will play a crucial role in building a robust and scalable data platform that supports key commerce functions such as marketing, pricing, and inventory management. Collaborating with various teams, you will be responsible for designing backend services, data pipelines, and APIs that can efficiently handle high-volume operations across multiple markets. Emphasizing clean architecture, system reliability, and integration with AI/ML components, you will contribute to use cases like dynamic pricing and demand forecasting. Your key outcomes will include: - Writing clean, efficient, and maintainable code using modern languages and frameworks l...

As a Senior AI Engineer, you will be a valuable addition to our team, bringing your extensive experience and expertise to develop and maintain web applications using Django and Flask frameworks. Your role will involve designing and implementing RESTful APIs using Django Rest Framework (DRF), deploying and optimizing applications on AWS services, and integrating APIs for AI/ML models into existing systems. Your proficiency in machine learning concepts and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures will be crucial for creating scalable machine learning models and deploying them in production environments. Your key responsibilities will include collab...

You are an experienced DevOps / MLOps Engineer for Robotics responsible for building and managing infrastructure for data management, training, testing, deployment, telemetry, and fleet operations. Your role involves ensuring reliable, scalable, and secure pipelines to support advanced robotics applications across humanoids, AGVs, cars, and drones. Your key responsibilities include developing and maintaining data lakes with labeling and auto-labeling pipelines, designing feature stores, orchestrating training workflows using Kubernetes (K8s) and Slurm, managing experiment tracking and model registries, deploying models on edge devices with A/B testing and staged rollouts, and building system...

As a Data Scientist specializing in Generative AI at Aligned Automation, you will play a crucial role in delivering both business and technical services to our clients. With over 11 years of experience in Artificial Intelligence and Big Data, you will leverage your expertise to assist customers in planning and executing their Generative AI initiatives. Your responsibilities will include engaging with C-level customer roles, creating strategic roadmaps, and collaborating with data scientists to explore current and future ecosystems. To excel in this role, you must possess a deep understanding of Generative AI, including model selection, data preparation, model finetuning, and guardrail implem...

The Data Science Analyst role is a developing professional position within the GWFO team, focusing on applying specialized knowledge in machine learning, statistical modeling, and data analysis. This role involves monitoring, assessing, analyzing, and evaluating processes and data to drive business outcomes and generate actionable insights through advanced analytics. The Data Science Analyst will work on identifying opportunities to enhance business decision-making capabilities, automate processes, and develop innovative AI solutions. Key Responsibilities: - Gather and analyze operational data from various stakeholders to assess past business performance and identify areas for improvement. -...

You are a highly skilled and motivated AI Engineer who will be joining our team to develop reusable AI-powered tools and components that drive automation, scalability, and efficiency across our technical delivery ecosystem. Your primary focus will be on leveraging large language models (LLMs) to develop intelligent, context-aware automation tools, starting with a flagship tool that automates SQL script generation for data migrations and transformations. You will collaborate closely with solution architects and data engineers to build generative AI assets that can be integrated into repeatable client delivery work-streams, especially for non-profit and education clients using platforms like S...

As a Generative AI Architect with 5 to 10+ years of experience, you will be responsible for designing, developing, and deploying enterprise-grade GenAI solutions. Your role will require in-depth expertise in LLMs, RAG, MLOps, cloud platforms, and scalable AI architecture. You will architect and implement secure, scalable GenAI solutions using LLMs such as GPT, Claude, LLaMA, and Mistral. Additionally, you will build RAG pipelines with LangChain, LlamaIndex, FAISS, Weaviate, and ElasticSearch. Your responsibilities will also include leading prompt engineering, setting up evaluation frameworks for accuracy and safety, and developing reusable GenAI modules for function calling, summarization, d...

The responsibilities for this role include conducting original research on generative AI models, focusing on model architectures, training methods, fine-tuning, and evaluation strategies. You will be responsible for building Proof of Concepts (POCs) with emerging AI innovations and assessing their feasibility for production. Additionally, you will design and experiment with multimodal generative models encompassing text, images, audio, and other modalities. Developing autonomous, agent-based AI systems capable of adaptive decision-making is a key aspect of the role. You will lead the design, training, fine-tuning, and deployment of generative AI systems on large datasets. Optimizing AI algor...

You are a Machine Learning & Generative AI Engineer responsible for designing, building, and deploying advanced ML and GenAI solutions. This role presents an exciting opportunity to work on cutting-edge AI systems, such as LLM fine-tuning, Transformer architectures, and RAG pipelines, while also contributing to traditional ML model development for decision-making and automation. With a minimum of 3 years of experience in Machine Learning, Deep Learning, and AI model development, you are expected to demonstrate a strong proficiency in Python, PyTorch, TensorFlow, Scikit-Learn, and MLflow. Your expertise should encompass Transformer architectures (such as BERT, GPT, T5, LLaMA, Falcon) and atte...

Do you want to work on complex and pressing challenges, the kind that bring together curious, ambitious, and determined leaders who strive to become better every day If this sounds like you, you've come to the right place. Collaborating in a dynamic, multi-disciplinary team of 3-6 experts, you will use your creativity and analytics expertise to enhance client performance in areas such as energy efficiency, product quality, and capacity. You will be working side-by-side with the client's process engineers and analytics specialists and will be communicating your work to executive audiences. Internally, you will collaborate with our talented product engineers to develop innovative products and ...

The role of Senior Manager - GenAI Architect at EY involves leading and designing advanced AI architectures to drive strategic business outcomes. It necessitates a profound understanding of data management, application development, AI technologies, cloud solutions, and user interface design. Working closely with cross-functional teams, the individual is responsible for delivering robust and scalable solutions aligning with business objectives. Key Responsibilities: - Architectural Design: Develop and oversee data architectures and application frameworks supporting AI initiatives, ensuring integration with existing systems. - AI Solutions: Design and implement AI-driven models using machine l...

Role & responsibilities Bachelors degree in engineering computer science or a related field 12 to 16 years of total experience with at least 3 years of experience leadingmanaging AIML projects Worked in Predictive modeling projects achieving clear measurable business objectives Good understanding of US Health insurance with at least 2 years of experience in the same Experience and understanding of the entire MLOps pipeline from data ingestion to production Strong understanding of AIML concepts algorithms including supervised unsupervised and reinforcement learning as well as MLOps Proven ability to take successful complex ideas from experimentation to production Handson experience with Googl...

Mandatory keyskills : Python Programming Strong proficiency is essential for building and deploying ML models. Cloud Platforms (Azure, GCP, AWS) – Hands-on experience with at least one major cloud provider. Linux & Docker – Solid understanding of containerization and operating systems for scalable deployment. ML/Ops Tools (e.g., Azure ML) – Experience in deploying and managing machine learning models in production.

Hello Candidate, Greetings from Hungry Bird IT Consulting Services Pvt Ltd. We are hiring Senior AI Infrastructure Management Engineer for our client. Job Title: Senior AI Infrastructure Management Engineer Location: Hyderabad Job Type: Full-Time Work Mode: Hybrid E xperience Required: 6+ Years Job Summary: We are seeking a highly skilled Senior AI Infrastructure Management Engineer with expertise in Azure , AWS , and AI/ML deployment environments. This role demands deep technical knowledge of Linux , DevOps practices , cloud architecture , and AI/ML operations (MLOps/AIOps) . The ideal candidate will be responsible for architecting, deploying, and maintaining scalable and secure infrastruct...