Machine Learning Engineer

Candidate will be responsible for designing and developing applications for automating business processes, language understanding systems using NLP for text representation techniques more efficiently.

The candidate will be required to conceive, design, develop NLP applications, develop application for document automation using python, pytorch and should be familiar with advanced libraries used in python and other programming languages. Experience to develop user interface and working knowledge of database is preferred.

As a part of this team, candidate will be required to develop and deploy applications like document automation, summarization, creation of user interface, query based chatbot. The candidate would be required to understand business objectives and develop AI/ML models that help to achieve the same, along with metrics to track their progress. An ideal candidate should have strong understanding of machine learning, text mining, NLP, information theory and information retrieval. Candidate should also be familiarized with specialized tools and have experience in projects which required working with natural language data such as nltk (Python), Apache OpenNLP or GATE.

Further, the potential candidate needs to have knowledge of advanced desktop and web interface development, chatbot support interfaces etc.

Required Skillsets

• Bachelors/Masters degree in computer science or engineering with a focus on language processing
• At least 7+ years of experience with exposure to NLP and relevant projects
• Experience with AI/ML platforms, frameworks, and libraries
• Knowledge in relevant programming languages, development tools, databases
• Proficiency in programming in Python, Pytorch, tensorflow
• Understanding of NLP techniques for text representation, semantic extraction techniques, data structures, and modeling
• Capable of writing and building components to integrate into new or existing systems.
• Documentation experience for complex software components
• Experience in implementing product lifecycle - design, development, quality, deployment, maintenance
• Ready to work within a collaborative environment with teams
• Creative thinking for identifying new opportunities