On-Site
Full-Time
Bengaluru, Karnataka
India
About the Role
OneOrigin, where innovation meets imagination! Based in Scottsdale, AZ and Bangalore, India, we’re on a mission to harness the power of AI to transform the way Higher Education
institutions operate. Our cutting-edge software solutions streamline administrative processes, enhance student engagement, and empower data-driven decision-making.
Whether it’s automating tasks, providing actionable insights, or improving learning outcomes, we make AI accessible and impactful for colleges and universities.
About The Role
We are seeking a dynamic and innovative AI Developer to join our team in Bangalore. In this role, you will drive the creation and implementation of advanced AI-driven solutions to empower intelligent products and streamline business operations across diverse domains. You will collaborate with data scientists, software engineers, product teams, and cross-departmental stakeholders to architect scalable, adaptive AI systems, leveraging cutting-edge machine learning techniques to solve complex, multidisciplinary challenges.
What You'll Do
Design, develop, and deploy sophisticated AI/ML models tailored for diverse real-world applications.
Utilize AI frameworks such as TensorFlow, PyTorch, Keras, and Hugging Face Transformers to build robust solutions.
Innovate with state-of-the-art Generative AI applications, harnessing advancements in LLMs and real-time systems to enhance functionality.
Manipulate and analyze large datasets using tools like Pandas, NumPy, SQL, and Apache Spark to derive actionable insights.
Develop and deploy scalable AI services using Docker, FastAPI/Flask, and Kubernetes, ensuring seamless integration across systems.
Collaborate with cross-functional teams to integrate AI solutions into products and optimize processes across multiple departments.
Drive experimentation and iterative problem-solving, leveraging tools like MLflow and MLOps for experiment tracking and model lifecycle management.
Proactively explore and implement automation opportunities using AI to enhance efficiency across various business functions.
Stay at the forefront of AI advancements, continuously experimenting with emerging tools and methodologies to address complex challenges.
Role Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field.
5-8 years of hands-on experience in AI/ML development.
Demonstrated expertise in building and deploying AI and ML solutions, with a strong portfolio showcasing diverse, impactful projects.
Advanced programming proficiency in Python, with familiarity in R and SQL (preferred).
Extensive experience with Deep Learning, NLP, and Computer Vision projects, with a focus on innovative, cross-domain applications.
Proven ability to work with Cloud platforms (AWS, GCP, Azure) for AI solution deployment.
Hands-on experience with Data Version Control (DVC) and experiment tracking tools to support iterative development.
Strong expertise in API development and integration for scalable AI solutions.
Exceptional problem-solving skills, with a hands-on, experimental approach to tackling complex challenges across multiple domains.
Excellent communication and collaboration skills, with the ability to work effectively across diverse teams and departments.
institutions operate. Our cutting-edge software solutions streamline administrative processes, enhance student engagement, and empower data-driven decision-making.
Whether it’s automating tasks, providing actionable insights, or improving learning outcomes, we make AI accessible and impactful for colleges and universities.
About The Role
We are seeking a dynamic and innovative AI Developer to join our team in Bangalore. In this role, you will drive the creation and implementation of advanced AI-driven solutions to empower intelligent products and streamline business operations across diverse domains. You will collaborate with data scientists, software engineers, product teams, and cross-departmental stakeholders to architect scalable, adaptive AI systems, leveraging cutting-edge machine learning techniques to solve complex, multidisciplinary challenges.
What You'll Do
Design, develop, and deploy sophisticated AI/ML models tailored for diverse real-world applications.
Utilize AI frameworks such as TensorFlow, PyTorch, Keras, and Hugging Face Transformers to build robust solutions.
Innovate with state-of-the-art Generative AI applications, harnessing advancements in LLMs and real-time systems to enhance functionality.
Manipulate and analyze large datasets using tools like Pandas, NumPy, SQL, and Apache Spark to derive actionable insights.
Develop and deploy scalable AI services using Docker, FastAPI/Flask, and Kubernetes, ensuring seamless integration across systems.
Collaborate with cross-functional teams to integrate AI solutions into products and optimize processes across multiple departments.
Drive experimentation and iterative problem-solving, leveraging tools like MLflow and MLOps for experiment tracking and model lifecycle management.
Proactively explore and implement automation opportunities using AI to enhance efficiency across various business functions.
Stay at the forefront of AI advancements, continuously experimenting with emerging tools and methodologies to address complex challenges.
Role Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field.
5-8 years of hands-on experience in AI/ML development.
Demonstrated expertise in building and deploying AI and ML solutions, with a strong portfolio showcasing diverse, impactful projects.
Advanced programming proficiency in Python, with familiarity in R and SQL (preferred).
Extensive experience with Deep Learning, NLP, and Computer Vision projects, with a focus on innovative, cross-domain applications.
Proven ability to work with Cloud platforms (AWS, GCP, Azure) for AI solution deployment.
Hands-on experience with Data Version Control (DVC) and experiment tracking tools to support iterative development.
Strong expertise in API development and integration for scalable AI solutions.
Exceptional problem-solving skills, with a hands-on, experimental approach to tackling complex challenges across multiple domains.
Excellent communication and collaboration skills, with the ability to work effectively across diverse teams and departments.