Machine Learning Engineer Visionify.ai

About Visionify.ai

Visionify.ai provides Computer Vision, AI, and Machine Learning solutions that help automate manufacturing, retail, and security areas.

Visionify specializes in Computer Vision platforms that generate insights and drive business opportunities to the masses. At our core, we are a team of Engineers and Researchers driven by innovation in Computer Vision and AI. We have developed state-of-the-art edge-device-ready computer vision technologies based on Deep Learning and Neural networks, enabling us to provide turnkey solutions. Visionify.ai also has prebuilt models for many industry use-cases such as anomaly detection, out-of-stock, people detection & counting, face detection & recognition, document parsing, foreign object (debris) detection, and label checking.

Job Description

Location: Pan India (WFH) but candidate needs to be comfortable with travelling to Hyderabad job location if need be.
Budget- 3+ years 20 LPA (max), 7+ years and the candidate is good then 35 LPA (max)
Notice Period- Immediate to 30 days (max). If candidate is ready to join early then joining bonus can also be provided.
Total Experience- 4+ years
Relevant Experience- minimum 3 years is required. 
Education required- Computer Science or Computer Engineering.
No. of positions- 5
Skills required- Image and video processing, Machine Learning, Python, Python web framework, e.g. Flask, Django or FastAPI, PyTorch,TensorFlow, GPU-based training infrastructures, Docker, Pyspark or Tableau, cloud platform (AWS preffered), Docker.  
Interview Process: R1- Technical round, R2- Coding Assessment, R3- discussion with CTO, R4- discussion with CEO (if need be). 

Sr. Computer Vision/ML Engineer:

Visionify is working on bringing the power of Computer Vision and AI to everyday use cases. We are Sr. Computer Vision/ML Engineer.
Visionify is working on bringing the power of Computer Vision and AI to everyday use cases. We are looking to hire a strong, motivated, and enthusiastic Machine Learning Engineer to execute.
our roadmap. We are looking for an expert in machine learning to help us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.

Responsibilities:

- Understanding business objectives and developing software and models that help achieve them. The software could involve a training framework, - -inference framework, working with different technologies for ML.
- Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Develop processes for different common operations of the team: data acquisition, model training, and prototype development.
- Feature Engineering and Data Modeling.
- Transforming data science prototypes and applying appropriate ML algorithms and tools.
- Finding open-source datasets for prototype development.
- Training models and tuning their hyperparameters
- Analyzing the errors of the model and designing strategies to overcome them
- Data Visualization Tool Experience Pyspark, Tableau, etc.
- Training models and tuning their hyperparameters.

Requirements:
- Bachelors/Masters's degree in Computer Science/Computer Engineering/IT or related fields.
- 3+ or 5+ years of experience.
- Industry experience working in Image & Video Processing (OpenCV, GStreamer, Tensorflow,
PyTorch, TensorRT, Model Training/Inference, Video Processing Pipelines, Different GStreamer
Convertors etc).
- Strong understanding of Computer Vision and Real-time Video Processing techniques.
- Strong experience with Python and writing reusable code.
- Experience working with OpenCV and Scikit packages.
- Experience with the NVIDIA platform (NVIDIA Deepstream, TensorRT).
- Experience with Python web framework, e.g. Flask, Django or FastAPI
- Experience with different ML platforms: PyTorch, and TensorFlow.
- Experience in a cloud environment for software development and deployment (AWS preferred)
- Experience with utilizing various GPU-based training infrastructures.
- Experience with Docker.