217 Ml Ops Jobs - Page 3

Aziro Technologies (formerly MSys Technologies ) is an AI-native product engineering company driving innovation-led tech transformation globally ! We are hiring MLOps Engineers to join us immediately! Exp - 5+ years Location - Bangalore (Hybrid Offer) Notice Period - Immediate to 15 days Job Description About the Role We are seeking a highly motivated Developer with strong expertise in Python, Generative AI platforms, and MLOps tools. The ideal candidate will have hands-on experience in Langserve, Langfuse, Docker, Kubernetes, and Groovy, with the ability to design, deploy, and scale AI-driven applications. This role combines software engineering, AI solutioning, and operational excellence. ...

Job Title: RunOps Support MLOps Job Type: Full-Time Location: Hybrid Hyderabad, Pune, New Delhi About Us At micro1 we're building the world's first AI recruitment engine to match the world's most talented people with their dream jobs. As a core team member, you'll be at the forefront of AI innovation, contributing to our company's expansion while collaborating with Silicon Valley's fastest-growing companies. You'll thrive in a supportive, fast-paced, and innovative environment, tackling exciting challenges while unlocking unparalleled career growth and development. Job Summary: We are seeking a proactive and skilled RunOps Support Engineer specializing in ML Ops for remote work. In this role...

Looking for Immediate to 15Days of Notice Period and Serving Notice period candidates only Location: Bangalore, Mumbai Role: Contract Role Primary Responsibilities: • Implement and manage AIOps platforms for intelligent monitoring, alerting, anomaly detection, and root cause analysis (RCA). • Possess end-to-end knowledge of VLLM model hosting and inferencing. • Advanced knowledge of public cloud platforms such as AWS and Azure. • Build and maintain machine learning pipelines and models for predictive maintenance, anomaly detection, and noise reduction. • Experience in production support and real-time issue handling. • Design dashboards and visualizations to provide operational insights to st...

Role Overview: At Uber AI Solutions, we lead various operations and technologies to enable the mission of reimagining the way the world moves. We combine technology and human intelligence to run scaled programs efficiently. As part of the organization, you will play a crucial role in delivering high-quality scaled programs in operations, technology, and data analytics for various Uber businesses. Key Responsibilities: - Program delivery leadership: You will be the overall single point owner of training/evaluation programs for clients, focusing on coding, agentic AI, and data areas. Your responsibilities will include developing delivery solutions based on client requirements, managing technic...

Skills: Artificial Intelligence (AI), Python (Programming Language), Natural Language Processing (NLP), Large Language Models (LLM), AI/ML, MLOps, Position: AI Lead Location: Tiruchirappalli, India Experience: 4+ Years Notice Period: Immediate to 15 Days Job Description As an AI Lead, you will drive the design, development, and deployment of advanced AI solutions across our core platforms. Your focus will be on NLP, LLM fine-tuning, and applying machine learning models to real-world problems. You'll collaborate with product, engineering, and domain experts to translate ideas into intelligent solutions. Key Responsibilities Lead AI/ML initiatives and guide junior engineers Build and fine-tune...

MLOps / ML Architect 01 starts August 14 – 16 years of total experience, 3 – 5 years of relevant experience on Sagemaker AI Hands on experience of the following – Structure a ML system (batch, real-time, or LLM) as modular ML pipelines that can be independently developed, tested, and operated Ensure the consistency of feature data between offline training and online operations Govern data in a feature store and promote collaboration between teams with a feature store Implement MLOps principles of automated testing, versioning, and monitoring of features and models. The modeling skills required for ML: How to train ML models from (time-series) tabular data in a feature store How to personaliz...

Summary Gainwell is seeking LLM Ops Engineers and ML Ops Engineers to join our growing AI/ML team. This role is responsible for developing, deploying, and maintaining scalable infrastructure and pipelines for Machine Learning (ML) models and Large Language Models (LLMs). You will play a critical role in ensuring smooth model lifecycle management, performance monitoring, version control, and compliance while collaborating closely with Data Scientists, DevOps. Your role in our mission Core LLM Ops Responsibilities: Develop and manage scalable deployment strategies specifically tailored for LLMs (GPT, Llama, Claude, etc.). Optimize LLM inference performance, including model parallelization, qua...

Opening for ModelOPS for a remote opportunity! Role- ModelOPS Experience -3-5 yrs Location- Anywhere Mode of Work- Remote Job Type- Permanent Role & responsibilities JOB DESCRIPTION- -Build and optimize pipelines on ModelOps framework (or otherwise as applicable) basis requirements from ModelOps Analysis. -Implement DQ checks, controls for each use-case as defined by ModelOps Analysis. -Collaborate and work closely with ModelOps Analysis, RDM, Risk IT resolve issues during build or deployments. -Create technical specifications, runbooks and any relevant artifact pertaining to usecase build. -Perform Unit and performance benchmarking tests for pipelines developed or enhanced. -Ensure 100% com...

!!! Hiring !! Soft skills Combination of business focus, analytical and problem solving skills in order to quickly define a data-driven solution within different initiatives Ability to work within a team and with a proactive attitude Ability to communicate and popularize technical topics Main skills - Programming in Python (Numpy, Pandas, Scikit-learn, ) - Mastery of basic Devops tools (Versionning Git, Docker, CI/CD concepts e.g. Gitlab CI framework) - Mastery of ML Ops and ML Engineering frameworks (Experiment trackers e.g. MLFlow, Orchestrators – e.g. Airflow, Kubeflow, Sagemaker) - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neura...

Job Title: Senior Android Engineer (ML Ops) arun.raja@dhira.ai Job Title: Senior Android Engineer (ML Ops) Type: Full-time Experience Level: Mid to Senior (5 to 10 years) Position Summary We are seeking an experienced Senior Android Engineer (ML Ops) with a strong background in Android-based ML deployments to lead the integration and scaling of machine learning solutions across diverse domains. The ideal candidate will have hands-on experience deploying computer vision models, particularly ResNet and dlib , on Android devices. This role involves end-to-end ownership of ML pipelines, from model optimization and deployment to monitoring, asset management, and ensuring seamless production perfo...

Role Overview: You will be joining the team in Hyderabad, Telangana as either a Mid-Level Machine Learning Engineer or a Junior Machine Learning Engineer. Your main responsibility will be developing custom Large Language Models (LLMs) and optimizing their performance for legal research applications. This role presents a unique opportunity to contribute to an innovative project's AI backend and React-based frontend. Key Responsibilities: - As a Mid-Level Machine Learning Engineer, you will lead the design, implementation, and maintenance of machine learning models with a focus on NLP and LLMs for legal applications. - Enhance model training processes, data pipelines, and performance optimizat...

As a Mid-Level Machine Learning Engineer in our company, your primary responsibility will be to lead the design, implementation, and maintenance of machine learning models, particularly focusing on Natural Language Processing (NLP) and Large Language Models (LLMs) for legal applications. Your role will also involve enhancing model training processes, data pipelines, and performance optimization to ensure scalability. Collaborating with front-end developers to integrate AI functionalities into our React UI for a seamless user experience will be an essential part of your job. Additionally, rigorous testing and performance evaluations will also be part of your responsibilities. Key Responsibili...

Role Description: We are looking for someone who is interested in harnessing machine learning to power marketing optimization. Someone who is fascinated by machine learning and building robust machine learning pipelines which process massive amounts of data at scale. Someone who loves building high-scale distributed systems using a diverse set of state-of-the-art technologies. The work will span across a variety of datasets and ML models and across a diverse technology stack ranging from Spark, Flyte, Databricks, Kubernetes, AWS and much more! What youll do You work in a cross-functional team of ML Engineers and ML Scientists to operationalize ML models in production. You build scalable, hig...

As a Firefly models & Services architect in the Adobe Firefly Gen AI Models and services group, you will be crucial in supporting the creation, improvement, and deployment of model pipelines for Adobe's top products across various domains. Your expertise in machine learning will play a key role in designing and optimizing large-scale foundation model pipelines in Generative AI. Collaborating with outstanding Applied researchers and engineers, you will bring innovative ideas to production, providing technical leadership and mentorship for junior team members. - Design and develop the GenAI backend services for Firefly - Create efficient model pipelines to power generative AI features on Adobe...

Role Overview: As an AI/ML Full Stack Engineer, you will be responsible for implementing end-to-end, AI-powered solutions. Your primary focus will be on building and integrating AI solutions, full stack development, conversational flow & orchestration, data engineering & infrastructure, and cross-functional collaboration. Key Responsibilities: - Developing, training, and maintaining machine learning models such as NLP and recommendation engines for personalized product recommendations and conversational interfaces. - Implementing scalable pipelines to process and analyze large datasets including product data, user interactions, and logs. - Designing REST or GraphQL APIs to enable real-time c...

In this role as a Senior R&D Infrastructure and Data Engineer at Barclays, you will be a key player in driving innovation within the digital landscape, particularly within the Cyber Fraud Fusion Centre. Your main responsibility will be to deliver scalable CFFC services to disrupt and prevent upstream economic crime. Key Responsibilities: - Work as a cloud engineer in a global organization with expertise in deployment of GUI applications, data transformation, automation, and data storage solutions. - Coach software and data engineers to deliver complex projects under consistent delivery processes like CI/CD. - Drive technical projects to completion, identify risks and costs, challenge archite...

Function/ Department: Data & Analytics. Job Purpose : 'As an MLOps Engineer, you will be responsible for deploying, scaling, and monitoring ML & GenAI models in production. You will own the infrastructure, automation, and observability layer while collaborating with ML Engineers and Data Scientists to ensure models (LLMs, embeddings, recommendation systems, etc.) are reliably served at scale. This role combines DevOps best practices with ML-specific needs, ensuring smooth model lifecycle management and robust GenAI-powered applications. Key / Primary Responsibilities: ' '* Design and manage CI/CD pipelines for ML model deployment. * Provision and maintain scalable infrastructure using Kubern...

Hiring Sr.ML Engg(Applied AI) – 5+ yrs exp. Python, ML algos, PyTorch/Sklearn, MLOps (CI/CD, monitoring), SQL/NoSQL, data pipelines Preferred: Big Data, A/B testing, open-source. 35-40 LPA Nancy 8586914964 Nancy.imaginators7@gmail.com Required Candidate profile Exceptional Programming Skills: Expert-level proficiency in Python, including experience with writing production-grade End-to-End ML Application Development Software Design & Architecture

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...

Role Overview: As a Machine Learning and AI Solutions Architect at Wipro, your main responsibility will be to define, architect, and lead the delivery of cutting-edge machine learning and AI solutions. You will play a crucial role in demand generation, revenue generation through building and operationalizing machine learning and deep learning solutions, as well as team management. Key Responsibilities: - Collaborate with sales, pre-sales, and consulting teams to create solutions and propositions for proactive demand generation. - Develop solutions and proof of concepts aligned with key offerings to facilitate solution-led sales. - Partner with various colleges and institutes for recruitment,...

Hiring Sr.ML Engg(Applied AI) – 5+ yrs exp. Python, ML algos, PyTorch/Sklearn, MLOps (CI/CD, monitoring), SQL/NoSQL, data pipelines, strong software engg. Preferred: Big Data, A/B testing, open-source. Salary: Upto 35-40 LPA Call Latika: 9810996899 Required Candidate profile Exceptional Programming Skills: Expert-level proficiency in Python, including experience with writing production-grade End-to-End ML Application Development Software Design & Architecture

We are CirrusLabs . Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization. You have an entrepreneurial spirit. You enjoy working ...

As a Lead Software Engineer at our company, you will be responsible for designing, building, and scaling high-performance infrastructure with expertise in ML Ops, distributed systems, and platform engineering. Your key responsibilities will include: - Designing and developing scalable, secure, and reliable microservices using Golang and Python. - Building and maintaining containerized environments using Docker and orchestrating them with Kubernetes. - Implementing CI/CD pipelines with Jenkins for automated testing, deployment, and monitoring. - Managing ML workflows with MLflow to ensure reproducibility, versioning, and deployment of machine learning models. - Leveraging Temporal for orchest...

KONE Technology and Innovation Unit (KTI) is where the magic happens at KONE. It's where we combine the physical world - escalators and elevators - with smart and connected digital systems. We are changing and improving the way billions of people move within buildings every day. We are on a mission to expand and develop new digital solutions that are based on emerging technologies. KONE's vision is to create the Best People Flow experience by providing ease, effectiveness and experiences to our customers and users. In line with our strategy, Sustainable Success with Customers, we will focus on increasing the value we create for customers with new intelligent solutions and embed sustainabilit...

Expert on MLOps, Model lifecycle + Python + PySpark + GCP (BigQuery, Dataproc & Airflow), CI/CD Call or Watsapp (ANUJ - 8249759636) for more details.