Looking for a talented, experienced and passionate Machine Learning Engineer's with a broad knowledge of machine learning techniques to help design and implement cutting edge solutions across a breadth of domain areas. This group which focuses on innovative solutions for real customers, the candidate will work with a multidisciplinary team of smart people, including data scientists, product managers and software developers, to deliver end to end solutions that address customer pain points, across domains like Recommender Systems, Anomaly detection, NLP, Machine Vision, Collaborative Filtering, Clustering, Classification, Regression, Deep Learning, and/or statistical modelling.
Responsibilities and Duties
Principal Duties and Responsibilities
DEVELOP AND INTEGRATE AWS A.I. SAGE MAKER ON DATA IN VPC.
Work with Scientists to develop, create and deploy models.
End to end hands-on ownership of machine learning systems deployable across various projects in AWS – including data pipelines, model generation, training and inference engines.
Quick Proof of Concept (POC) project ownership around projects that need Deep Learning, Collaborative Filtering, Clustering/Unsupervised learning, mixed with traditional approaches. POCs should result in rich and deep learning experience for the organization, so that they can be applied to real world projects that are also delivered here.
Algorithm development, Model enhancements, around some key research areas (innovation areas) that clients are focusing on. This requires constant paper reading, and staying ahead of the game by knowing what is and will be state of the art in this exciting field.
AI Framework evaluation and investigation into starting a new AI software framework (backend and frontend) for possible long term platform approaches.
Working with other groups within company (around AI) while maintaining clear differentiation and value in our specific offerings, and leading the path of value driven AI solutions that are innovative and deployable to real customers.
Some amount of familiarity with system bring up, application development, and new hardware architecture is essential as we will be working across a range of hardwares, GPUs etc. as part of early prototyping.
Present new ideas and innovations
Qualifications and Skills
ABILITY TO DEPLOY & DEVELOP AND INTEGRATE AWS A.I. SAGE MAKER ON DATA.
BS with 8+ years of applied machine learning experience.
Strong background in one or more of : AWS SAGEMAKER, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
Strong Experience using one of TensorFlow, MXNet, Theano, Caffe and other open source frameworks. Solid understanding of underlying concepts of Tensor Flow (as an example) to understand/enhance the inner workings of an AI framework of choice
Strong Experience with AWS
Delivery of a previous AI based project with success and failure stories from a real customers, with a good sense of lessons learnt and a clear interest and passion in trying out what was learnt into new projects.
Hands on coding with C/C++, Python, Lua, Matlab or any proficient AI language of choice
A mathematical, statistical and probability inclination and deep understanding of some AI concepts
A sense of ambition and passion to change the world using AI and Deep Learning
Hours to be determined
More than 3 months3+ monthsProject LengthDuration
I am willing to pay higher rates for the most experienced freelancers