Position: Machine Learning Architect (IRC106932)
Company: GlobalLogic
Category: Python
Experience required: 5y
English level: upper

- Master degree, PHD or equivalent in Computer Science, Physics or Mathematics is a must
- 7+ years of commercial experience in software development, including at least 4 years in a related field
- Strong knowledge and experience with Python and/or C++, experience with any other programming language will be a plus
- Strong understanding of at least 2 of the following topics: object detection, segmentation, pose estimation, person re-id, action recognition, multiple object tracking, anomaly detection
- Knowledge of different deep learning architectures: VGG, ResNet, MobileNet, EfficientNet, Yolo, SSD
- Hands-on experience with Deep Learning frameworks such as Keras, TensorFlow, PyTorch, MxNet
- Experience in BidData processing is a plus
- Experience in using Cloud Services for ML is a plus
- Strong ability to design and implement complex algorithms, proven experience architecting and developing AI/ML solutions
- Ability to think critically, question assumptions and devise solutions to challenging technical problems
- Strong communication and presentation skills is a must
- Self-motivated, persevering and capable of working without any minimal supervision
 

**Preferences:**

cloud, DevOps, C++, Big Data, NLP

**Responsibilities:**

GlobalLogic Team is consolidating and developing Machine Learning expertise and is now looking for a talented and experienced Machine Learning Architect who will help us growing our experience. Part of your responsibilities will include:

- Be a part of a highly productive and creative engineering team, working together to execute on our mission of being the best in the world
- Contribute into extending of ML community and enable constant knowledge sharing across the Company
- Take proactive role in leading pre-sales activities, cooperating with business development and sales enablement teams
- Work with various ML tasks building architecture, task decomposition, and estimates
- Drive design and development of Machine Learning / Computer Vision internal and external PoC(s)
- Help with organising trainings and webinars, mentoring and guiding people in the use of AI/ML
- Constantly provide consultancy for existing portfolio of delivery projects across multiple Delivery Units 
- Research & development for various type of projects in Sport, Automotive, Telecom, Media, Medicine, Embedded and others
- Contribute into internal Machine Learning frameworks and tools