Job Location: Hyderabad/Secunderabad
Job Description
Key Responsibilities
- Ideate and formulate a pragmatic blueprint for enterprise AI platform solution and subsequent development using Deep learning with a cross-functional team of talented engineers, Motivated self-learner
- Collaborate well with engineers, researchers, and data implementation specialists to design and create advanced, elegant and efficient AI based solutions for business problems
- Implement best practices in coding, collaborating and maintaining code repositories
- Maintain quality and ensure responsiveness of AI platforms
- Provide real time knowledge transfer to the team on the Requirements based on client facing meetings and white boarding workshops
- Help in writing a comprehensive proposal with the help of the other engineers on the project
- Work in an agile environment based on the defined sprint backlogs to deliver the assigned work in the stipulated timelines.
- Adhere to software development best practices and coding standards in all work products and participate in the refinement of those practices and standards to improve quality and productivity
- Work collaboratively with a cross functional team of engineers under the guidance of an AI platform lead
Required skills
- Very strong engineering degree in Computer Science/or other engineering discipline from top tier schools.
- Relevant experience of 3 years on live industry projects at enterprise level. At least 2 years of experience in computer vision and/or deep learning for object detection and tracking along with semantic or instance segmentation either in academic or industrial domain
- Experience with pretrained model architectures for Computer vision such as YOLO (highly preferable), ResNet, Faster R-CNN VGG Family etc.
- Extremely strong coder in Python Programming, Tensor flow, Keras, Theano, and other relevant Python Libraries for AI & Machine Learning (Scikit learn, NLTK, Scipy, etc.). Scale of 8/9 on 10.
- Experience in training models through GPU computing using NVIDIA CUDA or on cloud.
- Ability to transform research articles into the working solutions to solve real-world problems.
- Strong experience in using both basic and advanced image processing algorithms for feature engineering.
- Extremely Strong ability to perform EDA, manipulate data using Pandas/Numpy and other python libraries, should be able to support all data munging and cleansing activities.
- Strong ability to present data analysis and findings to the business stakeholders and suggest solutions
- Experience in working in Agile methodology in a very highperformance coding environment with high level of automation desirable
- Extremely adept at object oriented programming in Python
- Knowledge on CI-CD patterns of delivery and enterprise solution that uses Microservices, APIs and Docker containers a big plus
Tools & Technologies
- Python, TensorFlow, Keras, PyTorch, Django/Flask based APIโs, Pandas, Numpy, Matplotlib, Seaborn, etc.
- Code Management: Git, Bitbucket, Jira, Confluence, etc.
- Operating System: Mac, Linux, Windows
- Cloud Technologies: comfortable with Google Cloud, AWS or Azure
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