65 Ml Flow Jobs

Role & responsibilities Design and implement AI/ML models for anomaly detection, forecasting, and incident prediction. Develop and optimize MLOps pipelines for scalable, automated model training, validation, deployment, and monitoring. Select and evaluate appropriate algorithms and statistical methods for diverse telecom data sets. Apply best practices for data preprocessing, feature engineering, and model interpretability. Collaborate with software architects and engineering teams to integrate ML models into a cloud-native, microservices-based platform. Contribute to the selection and integration of MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Ensure data quality, governance,...

Example Responsibilities: Build and optimize model serving infrastructure with a focus on inference latency and cost optimization Architect efficient inference pipelines that balance latency, throughput, and cost across various acceleration options Develop monitoring and observability solutions for ML systems Collaborate with ML Engineers to establish best practices for optimized model deployment Implement cost-efficient, enterprise-scale solutions Collaborate in a cross-functional, distributed team for continuous system improvement Work with MLEs, QA Engineers, and DevOps Engineers Evaluate and implement new technologies and tools Contribute to architectural decisions for distributed ML sys...

In the ML Solutions team within Markets OPS Technology, you will be part of a group dedicated to developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. This team focuses on creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and other Line of Businesses. By closely working with clients and business partners, you will progress solutions from ideation to production by leveraging entrepreneurial spirit and technological excellence. **Key Responsibilities:** - **Hands-On Execution and Delivery:** Actively contribute to the development and delivery of AI solutions, ensuring successful deployment into productio...

Role & responsibilities Role : Senior ML Engineer Company : Feuji Software Solutions Pvt Ltd., Mode of Hire : Permanent Position Experience : 6 10 Years Work Location : Hyderabad About Feuji Feuji, established in 2014 and headquartered in Dallas, Texas, has rapidly emerged as a leading global technology services provider. With strategic locations including a Near Shore facility in San Jose, Costa Rica, and Offshore Delivery Centers in Hyderabad, and Bangalore, we are well-positioned to cater to a diverse clientele. Our team of 600 talented engineers drives our success, delivering innovative solutions to our clients and contributing to our recognition as a 'Best Place to Work For.' We collabo...

Design, build, and deploy ML and GenAI solutions across multiple use cases (e.g., LLM-based search, document summarization, predictive modeling). Develop and maintain ML pipelines using MLflow, Databricks, and AWS Sagemaker. Implement APIs and microservices for AI model inference using FastAPI and containerization strategies. Work with large structured and unstructured datasets (CSV, JSON, PDFs, EMRs, clinical reports). Optimize data processing using PySpark, SQL, and RDS (AWS). Integrate foundation models and LLMs (e.g., OpenAI, Cohere, Claude, AWS Bedrock) into production workflows. Monitor, retrain, and maintain models in production, ensuring high availability, reliability, and performanc...

Description Your IT Future, Delivered. Senior Software Engineer (AI/ML Engineer) With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions. We work beyond global borders and push boundaries across all dimensions of logistics. You can leave your mark shaping the technology backbone of the biggest logistics company of the world. All our offices have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences. Digitalization. Simply delivered. At DHL IT Services, we are designing, building and running IT solutions for the whole ...

Role: Senior Data Science Engineer Experience: 5+years Location: Pune, Mumbai, Bangalore Hybrid Mode Note: Immediate joiner / Serving Notice are preferred Role & responsibilities Snowflake Cortex Airflow ML opps Ml flow Sage maker

About the Role Were seeking an engineer whos eager to design, build, and deploy next-generation Agentic AI systems. Youll translate cutting-edge LLM research into real-world applicationsdeveloping autonomous workflows, RAG pipelines, and model-driven services that operate reliably at scale. This position blends applied ML engineering with modern AI development frameworks and offers deep hands-on exposure across the GenAI lifecycle. Responsibilities AI Application Development Design and orchestrate intelligent systems using modern generative and agentic AI frameworks; implement retrieval-augmented and fine-tuned model pipelines. Model Engineering Integrate and customize large language models;...

Min 1-3 yrs of exp in data science,NLP&Python Exp in PyTorch,Scikit-learn,and NLP libraries(NLTK,SpaCy,Hugging Face) Help deploy AI/ML solutions on AWS,GCP/Azure Exp in SQL for data manipulation & analysis Exp in Big Data processing Spark,Pandas,Dask

Why Join Iris Are you ready to do the best work of your career at one of India's Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture that truly values your talent and ambitions Join Iris Software one of the fastest-growing IT services companies where you own and shape your success story . About Us At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation &...

We are looking for experience Mlops engineer for our leading client at Pune location. Experience- 2.5 to 4 years Work location- Pune Notice period- Immediate to 15 days(serving notice period) Skill- Docker/Kubernetes, GitHub/GitLab CI, MLflow, model deployment Role & responsibilities •Deploy and monitor ML models •Build CI/CD pipelines for ML workflows •Manage model registries and feature stores •Ensure system reliability and automate retraining Preferred candidate profile Hands on experience on MLflow, Model deployment Experience with Docker OR kubernetes Experience with CI/CD(Github/Gitlab) Interested candidate can drop there CV to sudebi.basu@orcapod.work.

Your IT Future, Delivered. Senior Software Engineer (AI/ML Engineer) With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions. We work beyond global borders and push boundaries across all dimensions of logistics. You can leave your mark shaping the technology backbone of the biggest logistics company of the world. All our offices have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences. Digitalization. Simply delivered. At DHL IT Services, we are designing, building and running IT solutions for the whole DPDHL global...

Role & responsibilities Job Title: MLOps Engineer About the Role We are seeking an experienced MLOps Engineer to join our team and play a critical role in deploying, automating, monitoring, and optimizing machine learning solutions. The ideal candidate will have strong hands-on experience with Databricks, Python, PySpark, SQL, and CI/CD pipelines , along with exposure to Jenkins, SonarQube, Jira, and Git . You will work closely with data scientists, data engineers, and DevOps teams to streamline the end-to-end ML lifecyclefrom model development to production deployment and continuous monitoring. Key Responsibilities Design, implement, and maintain MLOps pipelines for ML model deployment and ...

Job Overview We are looking for a highly experienced Senior AI/ML Engineer with deep expertise in Computer Vision, NLP, Speech Processing , and multimodal transformer architectures . The ideal candidate will have strong hands-on experience building and optimizing large-scale AI models, integrating real-time video pipelines, and deploying models using GPU-accelerated inference frameworks. This role involves developing advanced multimodal systems, optimizing distributed training workflows, and deploying production-grade AI solutions. Key Responsibilities Design, build, and fine-tune CV, NLP, speech, and multimodal transformer models . Develop high-performance pipelines for real-time and near-r...

Exp: 3 to 12 Years Location: Bangalore, Noida, Pune, Hyderabad, Chennai, Bhubaneswar, Madurai. Must-Have Skills Expert in CV, NLP, speech models, and multimodal transformer models Strong understanding of GPU optimization, distributed training (DeepSpeed, Horovod) Experience with real-time/near-real-time video processing Hands-on with: MLflow, Ray, Airflow KServe, Triton Inference Server Vector DBs, RAG, LangChain Good-to-Have Skills Experience with broadcast/OTT platforms, MAM systems, and DAM workflows Experience with generative imaging (Stable Diffusion) or video generatio

Must-Have Skills Expert in CV, NLP, speech models, and multimodal transformer models Strong understanding of GPU optimization, distributed training (DeepSpeed, Horovod) Experience with real-time/near-real-time video processing Hands-on with: MLflow, Ray, Airflow KServe, Triton Inference Server Vector DBs, RAG, LangChain Good-to-Have Skills Experience with broadcast/OTT platforms, MAM systems, and DAM workflows Experience with generative imaging (Stable Diffusion) or video generatio

Role Overview: You will be joining the ML Solutions team within Markets OPS Technology, which is focused on developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. As a Data Scientist/Machine Learning Engineer, your primary responsibility will be to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. You will play a crucial role in guiding a team from initial concept to successful production, mentoring team members, collaborating with business partners, and ensuring adherence to regulatory requirements through cutting-edge technical solutions. Key Responsibilities: - **Hands-On Execution and Delivery:** Actively contri...

Strong understating of Python, ML concepts and frameworks, Fast API, Graph QL Experience in developing scalable APIs. Knowledge of AWS, preferred services are storage, EC2, Kubernetes Exposure of ML best practices, documentation and unit testing. ML Flow, AirFlow, ML pipeline creation, drift monitoring and control Experience in developing and deploying machine learning models in a production environment using CI/CD. Communicate with clients to understand requirements and ask right questions. Knowledge of Django and database design will be added advantage. Strong analytical and problem-solving skills. Experience in proprietary and public LLMs, including finetuning, inference optimization Expe...

JD for ML OPS and LLM OPS - Automating AI/ML model deployment and Setting up monitoring for the ML pipeline Integrate the existing, new codebase to the customer pipelines. - Programming, working knowledge of machine learning algorithms and frameworks, and domain knowledge. - Providing best practices and executing POC for automated and efficient model operations at scale. - Querying and working with databases, testing ML models, Git and version control, frameworks like Flask, FastAPI. - Hands-on experience using large foundation models (e.g. LLMs) and associated tool chains (e.g. langchain) and APIs to build applications, tools and workflows for production. - Familiarity with experiment track...

Job Specification: Builds and deploys machine learning models across supervised, unsupervised, and deep learning use cases. Implements feature engineering, hyperparameter tuning, and model evaluation, while maintaining automated training and deployment pipelines using tools like ML flow, Kubeflow, and Airflow. Ensures production reliability through continuous monitoring, performance tracking, and data pipeline optimization. Key Responsibilities: ML Model Development Develop and deploy ML models (supervised, unsupervised, deep learning). Perform feature engineering, model selection, and hyperparameter tuning. Implement model evaluation and interpretability techniques (SHAP, LIME). MLOps & ML ...

You have hands-on experience on cloud platforms such as AWS, Azure, GCP with knowledge of VPC, Load balancer, VM, SQL, Storage. You are familiar with Configuration Management tools like Puppet, Ansible, Chef, Terraform, and have proven experience as a DevOps or MLOps Engineer, focusing on machine learning deployments. You possess strong proficiency in scripting languages such as Python and Bash, along with knowledge of the Linux operating system. Additionally, you are well-versed in CI/CD tools like Jenkins and have practical experience with containerization and orchestration tools like Docker and Kubernetes. Your excellent problem-solving and communication skills make you a valuable asset t...

As a Lead/Architect in the AI/ML field, your role will involve: - Solutioning Enterprise level AIML/GenAI/Cloud stack/Dev/ML Ops. - Platform Development and Evangelism: - Building scalable AI platforms that are customer-facing. - Evangelizing the platform with customers and internal stakeholders. - Ensuring platform scalability, reliability, and performance to meet business needs. - Machine Learning Pipeline Design: - Designing ML pipelines for experiment management, model management, feature management, and model retraining. - Implementing A/B testing of models. - Designing APIs for model inferencing at scale. - Demonstrating expertise with MLflow, SageMaker, Vertex AI, and Azure AI. - LLM ...

As a Technology Lead at our company, your role will involve leading our Artificial Intelligence (AI) initiatives. You will be responsible for defining and driving the AI strategy, roadmap, and capabilities aligned with our business goals. It will be crucial for you to stay updated on emerging AI technologies and trends to guide innovation. Additionally, you will build and lead a high-performing AI team, including Data Scientists, Data Engineers, and ML engineers. Key Responsibilities: - Define and drive the AI strategy, roadmap, and capabilities aligned with business goals. - Stay abreast of emerging AI technologies and trends to guide innovation. - Build and lead a high-performing AI team, ...

Your IT Future, Delivered. Senior Software Engineer (AI/ML Engineer) With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions. We work beyond global borders and push boundaries across all dimensions of logistics. You can leave your mark shaping the technology backbone of the biggest logistics company of the world. All our offices have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences. Digitalization. Simply delivered. At DHL IT Services, we are designing, building and running IT solutions for the whole DPDHL global...

Job Description We are looking for a Senior MLOps Engineer to join our team. This role is a dedicated MLOps position with a strong focus on operational responsibilities . The MLOps Engineer will be primarily responsible for operationalizing machine learning solutions , managing infrastructure monitoring , ensuring observability , and maintaining robust CI/CD pipelines . In this role, you will work closely with software engineers, data scientists, and DevOps teams to build and scale the core MLOps infrastructure that powers AI initiatives across the organization. Your responsibilities will include managing CI/CD pipelines, enhancing observability, maintaining infrastructure, and ensuring seam...