Computer Vision Specialist

Roles and responsibilities 

 Code, train, evaluate and deploy machine learning models that integrate with the complete software solution.

Qualifications 

 B Tech in Computer Science / Information Technology

 M Tech / PhD specialization in computer vision

Skills 

 Candidate must be good at programming and be able to adapt to any of the basic programming languages like C, C++, Python, Matlab, R, Julia, Java, Go, Rust etc.

 Candidate must have mastery of basic computer science concepts like data structures, algorithms, databases, relational algebra (SQL), operating systems, computer architecture, computer networks.

 Candidate must be comfortable in programming on GNU/Linux in a high performance computing (HPC) setups like multicores, clusters, GPUs, etc.  Candidate must be able to grasp concepts from latest research papers and implement them in a short time.

 Candidate must have a specialization in AI / ML and should have mastery over the topics in the prerequisites section.

 Candidate must be familiar with ML programming frameworks and libraries and should be able to quickly learn and adapt to the newly emerging ones.

 Candidate must be familiar with computer vision libraries, frameworks, toolboxes and should be able to quickly learn and adapt to the emerging ones.

Pre-requisites Techniques 

A) Computer Vision 

1. Computer Vision: A Modern Approach | Forsyth, Ponce

2. Programming Computer Vision with Python | Jan Erik Solem

3. Computer Vision: Algorithms and Applications | Richard Szeliski

4. Computer Vision: Models, Learning, and Inference | Simon J. D. Prince

5. Multiple View Geometry in Computer Vision | Hartley, Zisserman

B) Deep learning for computer vision Pre-requisites for Machine Learning Engineer. 

 Following certifications will be preferred

 Introduction to Computer Vision, Udacity | GeorgiaTech CS 6476 | Prof. Aaron Bobick, Prof Irfan Essa, Arpan Chakraborty

 Swayam | Deep Learning for Computer Vision By Prof. Vineeth N Balasubramanian | IIT Hyderabad

 CVIT Summer School series | IIIT Hyderabad Tools A computer vision specialist needs to be proficient in different aspects of computer science and engineering.

Some of the tools to be familiar with include: 

 Data Management

 Python, Julia, R, jupyter, Pandas, PySpark, numpy, matplotlib, seaborn, streamlit, Kafka

 Core Computer Science

 C, C++, Python,Java, Scala, NetworkX, igraph, MySQL, PostgreSQL, Linux, Mac, Windows

 Machine Learning

 PyTorch, Tensorflow, Keras, scikit-learn, XGBoost, LightGBM

 Artificial Intelligence

 OpenCV, dlib. scikit-image, SpaCy, faiss, flann, kaldi, sphinx, librosa  Systems / Computing

 OpenMP, MPI, Spark, CUDA, AWS, GCloud, Azure, Mosquitto, Paho, Jetson Nano

 Software Engineering

 Docker, Git, JIRA, Trello, MLOps toolkits