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Deep Learning Engineer


Veltris


Location

Bangalore | India


Job description

Job Description Veltris is looking for a Inference Software Engineer to join our AI Center of Excellence (CoE). We are a team of Data Scientists Data Analysts Program Managers Product Managers and MLOps engineers incharge of building the next generation of AI products. A successful candidate will have technical depth a positive attitude and a passion for achieving results. Design and develop robust inferencing software that can be scaled to multiple platforms for functionality and Performance analysis optimization and tuning.

Requirements

Mandatory Skills


3 years of work experience in writing code in Python


Experience in using various Python libraries like Pandas NumPy


Experience in writing good quality code in Python and code refactoring techniques (e.g. IDE s PyCharm Visual Studio Code; Libraries Pylint pycodestyle pydocstyle Black)


Deep understanding of data structures algorithms and excellent problemsolving skills


Familiarity with Unix / Linux environment


C/C programming and software design skills including debugging performance analysis and test design.


Strong interest in artificial intelligence and computer vision awareness of latest developments in deep learning


Experience working with deep learning frameworks like Caffe TensorFlow and PyTorch


Strong working knowledge of source code control tools such as Git Bitbucket


Prior experience of designing developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous


Proactive and able to work without supervision


Strong drive to learn and master new technologies and techniques


Strong communication and collaboration skills


Good attitude and selfmotivated

Mandatory Skills 3+ years of work experience in writing code in Python Experience in using various Python libraries like Pandas, NumPy Experience in writing good quality code in Python and code refactoring techniques (e.g., IDE s PyCharm, Visual Studio Code; Libraries Pylint, pycodestyle, pydocstyle, Black) Deep understanding of data structures, algorithms, and excellent problem-solving skills Familiarity with Unix / Linux environment C/C++ programming and software design skills, including debugging, performance analysis, and test design. Strong interest in artificial intelligence and computer vision, awareness of latest developments in deep learning Experience working with deep learning frameworks like Caffe, TensorFlow and PyTorch Strong working knowledge of source code control tools such as Git, Bitbucket Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous Proactive and able to work without supervision Strong drive to learn and master new technologies and techniques Strong communication and collaboration skills Good attitude and self-motivated


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