Senior Analyst

Data science professionals with hands on experience with different data science processes using tools like Core Python, Spark, Tesseract, OpenCV, AI/ML Libraries, SQL, Similarity Algorithms

Hands on NER model/document digitization, used tesseract/spacy/openCV/pandas

 Duties & Responsibilities:

• Responsible for machine learning technology and application analysis, understand latest industrial and academic developments in AI/ML
• Study and innovate in Deep Learning/machine learning and its application in diverse domains
• Design competitive AI/ML services and user experience and create prototypes for demonstration
• Work with the rest of the Operations team to integrate these algorithms into larger solutions
• Work with development teams to mature these algorithms.

 Skills & Abilities: (Technical and General)

 Minimum Requirements:

• Advanced level proficiency in Python programming especially in conceptual understanding of relational databases and hands-on comfort working within a Linux computing environment, and use of numerical/analytical computing using Numpy, Scipy, and Pandas.
• Relevant experience for the area of Knowledge Representation and Reasoning (KRR)  and related information integration; propositional logic, first-order logic, and constraint satisfaction methods; methods for uncertainty in combination with logical methods (e.g., Bayesian, probabilistic soft logic); combination of the foregoing with natural language and combination of the foregoing with machine learning
• Expert-level understanding of Artificial Intelligence technologies including some or all:  knowledge representation & reasoning (KRR), natural language processing (NLP), speech recognition, unsupervised machine learning, and/or reinforcement learning
• Knowledge in deep learning algorithms and AI system design and architecture
• Innovation minded, highly capable to think systematically, capable to redefine the solutions to overcome the competitors and solving problems
• Self-driven, energetic, creative, with ability to work in international teams
• Curious and willing to challenge existing solutions with innovative technology concepts.