JOB SUMMARY
We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Responsibilities include creating machine learning models and retraining systems. To do this jobsuccessfully, you need exceptional skills in statistics, coordinate systems and programming.
Your ultimate goal will be to shape and build efficient self-learning applications.
JOB RESPONSIBILITIES
• Prepare and maintain metadata for different data models.
• Research and implement appropriate ML algorithms and tools.
• Train and optimise ML/DL models.
• Deploying models to production.
• Extend existing ML libraries and frameworks.
• Integrate existing ML services to the system.
MANDATORY SKILLS
• Minimum 2 years of work experience in Machine Learning/Deep Learning.
• Deep knowledge of maths, probability, statistics, linear algebra, coordinate systems and algorithms.
• Understanding of data structures, data modelling and software architecture.
• Ability to write robust code in Python.
• Hands on experience with NumPy, Pandas, MatplotLib, Seaborn, OpenCV, Scikit-Learn libraries.
• Familiarity with machine learning frameworks like Keras, TensorFlow and PyTorch.
• Outstanding analytical and problem-solving skills.
• Hand on experience training a deep learning model, hyper parameter tuning.
• Familiarity with Linux.
GOOD TO HAVE SKILLS
• Knowledge of R programming language.
• Knowledge of Relational and NoSQL databases.
• Knowledge of model optimization, TfLite, Onnx and OpenVino.
• BENEFITS
1. Fantastic company culture. No politics. Just pure work and play!
2. Very approachable and helpful seniors and peers.
3. Get a chance to shape your career in one of the fastest-growing and dynamic spaces.
4. Lots of creative freedom!
5. Lots of fun at the workplace. Frequent fun activities to make work even more enjoyable :)
6. To know more - https://www.bombaysoftwares.com/careers/
HOW TO APPLY
Drop a handsome note on ‘Why you should be with us?’ along with your resume & subject line “Applying for Software Engineer (SDE-1) - ML Engineer at
[email protected] and we will get back to you