Lead Data Scientist (NLP)

Key Skills

AWS Sagemaker, BERT, C Programming, C++, ChatGPT, CNNs, Data science techniques, Deep Learning, Generative AI, Java Programming, Leadership Skill, Machine learning techniques, Natural language generation- NLG, Natural Language Processing (NLP), Natural Language Understanding-NLU, OpenCV, Python Programming, PyTorch, RNNs, Scala Programming, TensorFlow

Job Description

Are you interested in solving complex business problems with the help of data and insights? You can be a key driver in transforming our business with the help of data and analytics. Do you want to be a part of the change transforming the business environment today? If yes, join us. 

In this job, you will :

• Understand business problems, making sense of the data landscape & footprint, performing a combination of exploratory, Machine Learning & Advanced Analytics on textual data
• Create, experiment with and deliver innovative solutions in a consultative mindset to client stakeholders using textual data
• Guide team of analysts to offer exceptional solutions to clients, across domains. 

To join us, you should have:

• Background in Computer Science/Computer Applications or any quantitative discipline (Statistics, Mathematics, Economics/Operations Research etc.) from a reputed institute.
• 6-9 years of experience using analytical tools/languages like Python on large-scale data
• Must have Semantic model & NER experience 
• Experience working with pre-trained models, awareness of state-of-art in embeddings and applicability for use cases 
• Must have strong experience in NLP/NLG/NLU applications using any popular Deep learning frameworks like Open CV, PyTorch, Tensor Flow, BERT, and GPT (or similar models)
• Must have strong experience in Deep learning for Image processing, Video analytics
• Must have experience in computer vision models like (Yolo, Resnet, CNN, RNN, Reinforcement Learning, SSD, Inception, GoogleNet etc.)
• Demonstrated ability to engage with client stakeholders at multiple levels and provide consultative solutions across different domains 
• Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining etc. 
• Strong understanding of integrating NLP models into business workflows. Prospect should have exposure to project initiation to business impact creation in at least one project.
• Exposure to Generative AI.

You must have:

• Ability to guide and mentor teams of associates on solution development and approaches 
• Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning 
• Coding skills in one or more programming languages such as Python, Scala, Java, C, C++ 
• Expert / high level of understanding on language semantic concepts & data standardization 
• Proven track record of successful models and practical implementation 
• Hands-on experience with popular ML frameworks such as TensorFlow 
• Experience with application development practices at scale, from problem definition to deployment. 
• Familiarity with any Cloud services such as AWS, Sage Maker etc. is considered a plus 
• Develop and apply Statistical Modelling techniques (e.g Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications 
• Knowledge in Machine Learning techniques in entity resolution, common speech products or text search domain

About Gramener:

Gramener is a design-led data science company. We build custom Data & AI solutions that help solve complex business problems with actionable insights and compelling data stories. We partner with enterprise data and digital transformation teams to improve the data-driven decision-making culture across the organization. Our open standard low-code platform, Gramex, rapidly builds engaging Data & AI solutions across multiple business verticals and use cases. Our solutions and technology have been recognized by analysts such as Gartner and Forrester and have won several awards. 

We offer you :

• A first-hand experience with complex and interesting, purpose-driven data problems. 
• An opportunity to make deep industry connections with data science experts, client teams, and domain champions and be part of the change that is transforming the business environment today.   
• A chance to try things and take risks.  
• Meaningful problems you’ll be proud of solving.  
• People you will be comfortable working with.  

Key metrics for you will be :

• Timely delivery and quality of delivery 
• Customer satisfaction on engagements