Position Summary:

As a Senior NLP Engineer you will primarily focus on building the NLU platform for Emplay by working with Analytics Team, Data Scientists, Data Engineers, brainstorm different ideas, research, build POCs and propose solutions that cater to the broader business needs. You will work with internal and external customer teams to help design machine learning models, data pipelines, integrate into and maintain production systems and analyze key metrics for decision makers and customers. You will be the complete owner of handling customer project lifecycle, Data Architecture, Data Pipelines and projects success and completion.

Responsibilities:

● As a core member of the NLP team, you will research, prototype, develop, deploy and scale innovative ML/DL solutions in collaboration with Analytics and Product Management teams.
● You will develop predictive models on large-scale datasets to address various business problems leveraging advanced statistical modeling, machine learning, or data mining techniques.
● Design and implement infrastructure for orchestrating end to end machine learning life cycles
● Set up processes to monitor and continually improve efficiency and performance of models
● Software development including algorithm implementation, optimization, performance profiling, integration to production systems, testing and documentation.
● Write high-quality production code as you build and maintain robust, scalable machine learning systems.
● Program primarily in Python using efficient algorithms and software design patterns
● Scale and improve performance of Natural Language systems in production
● Leadership, Team Management, Stakeholder Management exposure.

Required Qualifications:

● MS/PhD/BTech in NLP, ML, AI, Engineering or equivalent
● 3-5 years of relevant experience in Natural Language Understanding, Recommendation Engine, Topic classification, Semantic Search, Intent Classification and Slot Filling, Dialogue Management, Question Answering, Text Classification, Information Retrieval, or Knowledge Extraction.
● 3+ years of experience with building end-to-end systems based on machine learning or deep learning methods (ETL, modeling and deployment)
● Strong understanding of computer science fundamentals such as algorithms, data structures and run-time analysis
● Proficiency in Python, ElasticSearch/Apache Solr, Git/Gitlab/BitBucket/Jira.
● Experience with deep learning architectures such as LSTMs, Transformers, Tree-LSTMs, Graph Neural Networks etc.
● Experience with cutting-edge deep learning–based NLP models such as ELMo, BERT, OpenAI GPT-2/3, BART, BigBird, ERNIE, etc.
● Experience with deep learning NLP toolkits such as huggingface, spacy, etc.
● Experience with deep learning frameworks like TensorFlow, PyTorch, JAX and libraries like Hugging Face transformers, Deep Graph Library, DGL-KE, etc.
● Able to solve real–world problems using cutting–edge ideas and independent research
● A willingness to learn and remain agile in a dynamic environment
● Analytical and problem-solving skills for design, creation and testing of custom software
● Extensive experience with software prototyping or designing experimental software
● Adept at adapting academic ideas and theoretical algorithms into a production system