Associate Architect - Machine Learning Engineer

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Roles and Responsibilities:

• Ability to work on engagements related to different domains

• Work in a highly collaborative and fast-paced environment by interacting with the stakeholders and various IT teams within the company to facilitate the design and development of ML/AI solutions

• Responsible for the successful delivery of all allocated projects with respect to schedule, quality, and customer satisfaction

• Work with the pre-sales team on RFP, RFIs and help them solutioning for different AI/ML use cases

• Evaluate latest technologies, decide technical feasibility, and drive solution implementations

• Follow Agile standards and methodologies in all phases of the project and ensure excellence in delivery to customers

• Refine coding standards, software development guidelines, and best practices within the organization, and ensure adherence to those

Skills required:

• Strong interpersonal and written skills with clear and precise communication

• Stakeholder interaction experience both within the organization and outside with clients

• Strong analytical and quantitative skill set with proven experience solving business problems across domains

• Hands-on with Python programming and ML libraries/frameworks like Scikit-Learn, Pandas, TensorFlow, Pytorch, Keras, OpenCV, XGBoost etc.

• Distributed training for deep learning using frameworks like PyTorch, TensorFlow

• Knowledge of statistical modelling and popular machine learning models.

• Experience with Deep Learning/Computer Vision techniques like CNNs, Faster RCNN, Mask RCNN, YOLO, SSD, Detectron2 for various use cases related to image such as Image Classification, Object Detection,

• Image Segmentation, Image similarity (Siamese network) etc and Advanced image processing using OpenCV, Feature Detection and Matching using SIRF/SURF/FAST/BRIEF

• Experience of Traditional NLP, GenAI, Forecasting modeling would be a plus

• Should possess knowledge of multiple cloud platforms (AWS-Preferable) and machine learning services offered by them.

• Experience in building end to end machine learning pipelines, deployment using any ML Ops Framework, model performance monitoring, CI/CD.

• Experience in building APIs using frameworks such as Flask, Django, FastAPI

• Docker containerization of microservices, deployment on cloud compute resources and orchestrationusing popular frameworks like Kubernetes