Data Scientist in Pyspark/ NLP and Conversational AI/ Computer Vision Engineer

Role-1: PySpark Developer

Responsibilities:

• Design and implement highly scalable data ingestion pipelines from multiple sources using Apache Spark and/or Azure Databricks
• Build end to end data pipeline to assimilate data from multiple source systems to target data repositories
• Ensure data quality and consistency at all times
• Conceptualize Solution on Azure DevOps

Requirements:

• 3-5 years of experience in Pyspark, Azure Databricks
• Hands on experience on Spark (RDD,DAG, Akka, Partitioning, Map & Reduce, SparkSQL, Optimization, Clustering etc)
• Knowledge of Azure HDI, Azure DevOps, Azure SQL DW, ADF, Azure Functions
• Knowledge of working with event based / streaming technologies to ingest and process data

Role-2: Data Scientist (NLP and Conversational AI)

Responsibilities:

• Design and develop multiple domain specific NLP driven applications like Conversational Bots, document searching and summarization, sentiment and emotion classification, search and intent query understanding, etc.
• Conceptualize and implement relevant ML algorithms, solutions and tools for NLP tasks
• Identify appropriate datasets for language learning
• Build optimized NLP pipelines
• Use effective text representations to transform natural language into useful features
• Train the developed model and run evaluation experiments
• Perform statistical analysis of results and refine models
• Constantly keep up to date within the field of machine learning
• Maintain NLP libraries and frameworks
• Implement changes as needed and analyze bugs

Requirements:

• 3-5 years of hands on experience in developing multiple NLP projects, especially in conversational chatbot, document search and summary, sentiment and emotion classification, etc. in production environment
• Deep knowledge of machine learning frameworks and libraries and executing the same using Python programming language
• Exposure in reinforcement learning, knowledge graph and Deep learning.
• Strong knowledge in data pre-processing using Syntactic & Semantic Parsing-POS Tagging, Dependency parsing, etc.
• Experience with Word/Sentence embedding BERT/GPT/ELMO
• Knowledge in MS Bot framework would be an added advantage

Role 3-: Computer Vision Engineer

Responsibilities:

• Build computer vision applications and quick prototype for demonstration
• Develop Image classification and segmentation models using deep learning
• Research and develop computer vision algorithms for different business applications
• Define systems architecture for computer vision solutions including data flow, task partition, interface and systems interoperation
• Define a methodology for performance and power analysis and develop innovative technologies to reduce memory bandwidth, processing latency, power consumption

Requirements:

• 3+ years of experience in building computer vision applications
• Expert in Python, OpenCV, TensorFlow
• Strong exposure in Deep learning techniques

• PySpark
• Computer Vision
• Data Scientist in NLP