Remote Data Scientist - Remote

Description:

• Work closely with product teams to implement new products and features using ML.
• Develop highly scalable classifiers and tools leveraging machine learning, deep learning, and rules-based models.
• Own and drive all ML projects.
• Inculcate ML culture within an organization.

Requirements:

• 1 to 4 years of relevant work experience.
• Must have Python programming skills. Strong coding capabilities in TensorFlow or PyTorch.
• Good understanding of Machine Learning algorithms (Regression algorithms, Decision Trees), Distributions, and Deep Learning algorithms.
• Any prior research publication is a plus point.
• Strong programming skills with proven experience crafting, prototyping, and delivering advanced algorithmic solutions.
• Passion for making ML methods robust and scalable.
• Experience in extraction from structured/unstructured text (knowledge or statistics based).
• Experience in NLP algorithm implementation and modifying standard algorithms.
• Experience in deep learning approaches to NLP.
• Familiarity with database queries and data analysis processes (SQL, Python).
• Good in natural language processing, information extraction, and text mining algorithms.
• Track record of leading, building, and deploying production NLP systems on large scale text data.
• Must be very good at Natural language processing.
• Must have transformer, BERT understanding and be able to fine-tune Transformer, BERT architecture for sub-level tasks.
• Monitor the performance of existing pipelines and different services, continuously look out for opportunities to improve the developer experience, and cost optimization.
• Troubleshoot platform-related incidents.
• Create and generate periodic and ad hoc reports.
• Experience in Bard, Gemini, etc will be added advantages.

Benefits:

• An environment where each employee is celebrated.
• A one-time home office setup allowance, monthly allowances for internet bills, child care allowance for new mothers/single parents.
• Half-yearly performance appraisals.
• Flexible working hours.
• Competitive salary.