Software Engineer – Machine Learning (Python)

Must Have:

• Be sharp at Algorithm Design and Complexity Analysis, solving new problems with ease with effective and computationally efficient methods.
• Enjoy programming and be comfortable with Object Oriented Programming in Python
• Eager to quickly learn new concepts, languages, tools and technologies as required
• Enjoy building products that are generic and can cater to multiple tenants, through appropriate parameterization/abstraction
• Be excited to work in a startup environment and take end-to-end responsibilities working with the co-team members
• Write clean, maintainable, and well-tested code
• Engage in the full development life-cycle including architectural design and testing
• Solid understanding of distributed systems – Microservices/Reactive architecture, event driven systems, NoSQL databases, queues, caching, docker containers, etc.

Good to Have:

• Have demonstrated passion and enthusiasm for Machine Learning through projects, products, etc. Ability to develop new ML models and frameworks from scratch
• Understanding of Deep Learning and ML algorithms such as Gradient Boosting, Random Forest, SVM etc
• Prior experience with ML libraries such as TensorFlow, Keras, PyTorch, Spark-MLLib will be a plus
• Experience working with Kubernetes, AWS/Azure/GCE managed services

Typical Education Background:

1. Computer Science & Engineering
2. NLP Engineer (2-4 Years):

Requirements:

• Python + oops
• good at engineering
• Experience on NLP
• Additional: Experience/comfortable prototyping and research

3. Computer vision ( 2-4 Years):

Requirements:

• Python + oops,
• Good at engineering
• Experience on open cv, OCR
• Strong at logic/algorithms
• Additional: Experience/comfortable prototyping and research also experience using ml.

4. ML Research (2-4 Years):

Requirements:

• Python
• Good at logic/problem solving.
• Experience on Tensorflow, ml.
• Inclination towards prototyping research