Deep Learning Engineer

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