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Emerging Technology Specialist

Location Hyderabad, India
Posted 10-September-2021
Desirable background experience:
Ability to develop machine-learning powered solutions.
Demonstrable experience in AI, Machine Learning and Deep Learning is essential to this role.
Experience in developing and executing strategy within AI/ML.
Familiarity with computer vision techniques and object detection frameworks (such as Faster-RCNN, SSDs, YOLO etc)
Knowledge augmentation: examples, but not explicit too, Deep recurrent Neural Networks for conversational models, NLP, text mining.
Application of algorithmic techniques to large scale data, e.g. search, sensor data - driving, trading, communication devices
Demonstrated and professional experience in a ML engineering, Applied Data Science, Applied Machine Learning Researcher or Software Engineering role with exposure to the design and development of ML-enabled solutions.
Experience in a production-ready machine learning environments.
Experience with one or more deep learning frameworks such as TensorFlow, Keras, PyTorch, MXNet or CNTK.
An object-oriented or functional programming language such as Python, Julia, C, Scala or Java. Experience with more than one language preferred.
Experience working as part of a cross/multi-disciplinary team environment
Experience working in an agile development environment
Knowledge of classical classification, regression and clustering approaches, dimensionality reduction, NLP, deep learning, pattern recognition, topic modelling, graph algorithms
Experience manipulating complex, high-volume, high dimensionality data from varying sources
Hands on experience with source control, automated testing and continuous integration / continuous deployment
Knowledge of agile software engineering technical practices, such as test-driven development and continuous integration / continuous deployment.
Experience with telco data an advantage.
Ability to strongly advocate technical positions while still appreciating alternative proposals.
Strong inter-personal skills and experience working effectively in multi-functional teams.
Demonstrable commitment to lifetime learning. Ambition/Desirable
Masters / PhD or equivalent experience in computer science, statistics, engineering, mathematics, or similar quantitative discipline
Degree in Computer Science or related disciplines including on job training modules (eg: AI/ML Micro Credentials)
PdD in applied Sciences
Network Optimisation: Time series forecasting - including spatiotemporal Neural Networks, graphical neural networks.
Experience in cluster computing frameworks and building of high-volume distributed systems
Knowledge of mathematical concepts and techniques such as linear algebra, probability, statistics, calculus, geometry and graph theory
Experience working in a telecommunications and/or large corporate environment
Statistical computing, text mining
Machine learning research
Evaluation of algorithm performance and experience in applying ML algorithms using data that cannot be contained within a single machine. Consequently, you will have experience working with distributed data processing systems such as Hadoop and/or distributed frameworks such as Spark

Awards & Accolades for MyTechLogy
Winner of
Top 100 Asia
Finalist at SiTF Awards 2014 under the category Best Social & Community Product
Finalist at HR Vendor of the Year 2015 Awards under the category Best Learning Management System
Finalist at HR Vendor of the Year 2015 Awards under the category Best Talent Management Software
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