30 Job openings found

Key Responsibilities: - 1. Model Development: Design, build, and optimize supervised, unsupervised, and deep learning models for various business problems. 2. Data Exploration & Feature Engineering: Clean, transform, and analyze structured and unstructured data; identify significant features. 3. AI Integration: Develop end-to-end AI pipelines and integrate models into production systems ...

Position Overview  We are seeking a skilled and versatile Full Stack AI Engineer with 7+ years of professional experience in software engineering with end-to-end application development and minimum 2+ years of artificial intelligence. The ideal candidate will play a key role in designing, developing, and deploying robust AI-powered applications, working across ...

Position Overview:We are seeking an experienced Data Engineer to join our innovative data team data team and help build scalable data infrastructure, software consultancy, and development services that powers business intelligence, analytics, and machine learning initiatives. The ideal candidate will design, develop, and maintain robust high-performance data pipelines and solutions ...

    Key Responsibilities: Design, develop, and implement end-to-end computer vision models Work on use cases such as image classification, object detection, pose estimation, OCR, facial recognition, etc. Apply deep learning techniques using CNNs, GANs, and transformers for vision-based tasks Handle large-scale visual data and optimize pipelines for training, inference, and deployment Collaborate with cross-functional teams including software ...

JOB SUMMARYLooking for highly skilled and experienced Senior Data Architect. As a Senior Data Architect,you will play a critical role in designing, implementing, and managing data architecture,ensuring it supports both current needs and future aspirations in data and AI. This rolerequires a deep understanding of data architecture principles, data modelling ...

Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 3.5 - 7 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product ...

BASIC PURPOSE: The primary responsibilities of the AWS Machine Learning Engineer are to design, develop and deploy Machine learning models using AI/ML technologies within the AWS framework. This role will collaborate closely with the product and software development teams to operationalize these ML solutions for automating key business processes across the ...

Lead the design, development, and deployment of machine learning models and algorithms to solve complex business problems. ● Oversee the end-to-end machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment. ● Utilize AWS SageMaker to build, train, and deploy machine learning models. ● Leverage AWS Bedrock to develop ...

Job Profile -  MLOps Engineer   Location -  Bangalore   Type - Permanent Full Time   Experience - 5 to 7 years   Key Skiils - Artifactory Register, Terraform, GCP, CI/CD, Containerization     Job Description   Mandatory Experience in Terraform, GCP infrastructure, CI/CD deployment, Artifactory registry and containerization   Design, build applications using containerization and orchestration with Docker and Kubernetes and cloud platforms.   Demonstrated experience with containerization, ...

Job Title- Principal Data Engineer We are building a rockstar team to help us push the frontiers of AI. Company AI Labs is bringing together the brightest talents in the world to integrate AI into the DNA of each business inside and outside ofCompany. With Company’s presence across Energy, Airport, Port & ...