Job Description
Must Have Skills (Top 3 technical skills only):
- Computer Vision
- Data Science
- AWS Sagemaker
- Azure ML Studio
Certifications Needed: YES - 4 year Degree Program (MA preferable however if experience is strong, BA can also be accepted).
Top 3 responsibilities you would expect the Subcon to shoulder and execute:
- Design Computer Vision based data science solutions
- Build Implement Data science models
- Deploy Data science solutions
Detailed Job Description
- Evangelize requirements workshops with business and Data science community to capture requirements for the AI platform
- Architect solutions leveraging AIML, working closely with customer to deeply understand their business needs and to design a technical solution
- Prove viability of the solution through mechanisms like proof of concepts or prototypes
- Very strong understanding and experience in the field of AI and ML related technologies.
- Deep experience developing AI models in real world environments
- Significant experience deploying ML models. Significant experience developing AI solutions and passion for getting hands dirty with code e.g. Familiar using ML Platforms/Tools like MXNet, -Cafee, Spark MLlib, TensorFlow
- Strong technical architecture, design, deployment and operational level knowledge of AI platforms, standards, protocols
- Data Science skill on Video analytics and image processing.
- Possess experience in implementing Video analytics solutions to address image segmentation, image classification, Object tracking problems.
- Experience in working with unstructured/structured and semi-structured data sets
- Experience in data cleansing/aggregation/wrangling to perform exploratory data analysis
- Excellent hands on experience in using Machine Learning, Statistical Modelling and quantitative analysis
- Experience in understanding the business processes to identify and highlight applicability of AI/ML solutions
- Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams.