Deep Learning Engineer - Bengaluru, India - Veltris

Description

Job Description Veltris islooking for a Inference Software Engineer to join our AI Center ofExcellence (CoE).

We are a team of Data Scientists Data AnalystsProgram Managers Product Managers and MLOps engineers incharge ofbuilding the next generation of AI products.

A successful candidatewill have technical depth a positive attitude and a passion forachieving results. Design and develop robust inferencing softwarethat can be scaled to multiple platforms for functionality andPerformance analysis optimization andtuning.

Requirements

MandatorySkills

3 years of work experience inwriting code in Python

Experience in using variousPython libraries like PandasNumPy

Experience in writing goodquality code in Python and code refactoring techniques (e.g. IDE sPyCharm Visual Studio Code; Libraries Pylint pycodestyle pydocstyleBlack)

Deep understanding of datastructures algorithms and excellent problemsolvingskills

Familiarity with Unix / Linuxenvironment

C/C programming and softwaredesign skills including debugging performance analysis and testdesign.

Strong interest in artificialintelligence and computer vision awareness of latest developmentsin deep learning

Experience working with deeplearning frameworks like Caffe TensorFlow andPyTorch

Strong working knowledge ofsource code control tools such as GitBitbucket

Prior experience of designingdeveloping and maintaining Machine Learning solution through itsLife Cycle is highly advantageous

Proactive and able to workwithout supervision

Strong drive to learn and masternew technologies and techniques

Strong communication andcollaboration skills

Good attitude andselfmotivated

Mandatory Skills 3+ years of work experience in writing code inPython Experience in using various Python libraries like Pandas,NumPy Experience in writing good quality code in Python and coderefactoring techniques (e.g., IDE s PyCharm, Visual Studio Code;Libraries Pylint, pycodestyle, pydocstyle, Black) Deepunderstanding of data structures, algorithms, and excellentproblem-solving skills Familiarity with Unix / Linux environmentC/C++ programming and software design skills, including debugging,performance analysis, and test design.

Strong interest inartificial intelligence and computer vision, awareness of latestdevelopments in deep learning Experience working with deep learningframeworks like Caffe, TensorFlow and PyTorch Strong workingknowledge of source code control tools such as Git, Bitbucket Priorexperience of designing, developing and maintaining MachineLearning solution through its Life Cycle is highly advantageousProactive and able to work without supervision Strong drive tolearn and master new technologies and techniques Strongcommunication and collaboration skills Good attitude andself-motivated