Artificial Intelligence Engineer

Company Name iAcuity Fintech Pvt. Ltd. Company Profile iAcuity Fintech empowers Law Enforcement Agencies, Forensic Auditors, Tax Authorities, Regulators, Financial Institutions and Banks to combat financial crime. We have built the worlds first hyper-automated, AI analytics engine to facilitate both investigation and prevention.

Our solutions help to identify and abate crimes such as Embezzlement, Siphoning, Inflated Turnover, Accounting Fraud, Round Tripping and other Financial Anomalies.

Through our proprietary algorithms we eliminate drudgery of manual task leading to a 95% reduction of efforts in data normalization and analysis. We handle large volumes of data in varied formats, leveraging artificial intelligence and powerful dashboards thereby removing the need for manual efforts.

We simplify complex analytics and make it usable by everyone.Websitewww.iacuityfintech.com Position Title Artificial Intelligence Engineer Mandatory RequirementMinimum 4 years of experience in building scalable AI / Engineering systemsJob Description

• Responsible for the development of scalable algorithms and software components to solve problems in recommendation systems, forecasting systems, computer vision, image and video processing, NLP and similar large-scale analytical problems.
• Design and build a scalable software architecture to enable real-time / big-data processing.
• Design reusable and scalable system across on-premise and cloud architectures.
• Design and develop state-of-the-art Deep-learning / machine-learning algorithms for analyzing structured data, image, video, text data among others.
• Evaluate the latest research developments in machine-learning and deep-learning and help build state of the art capabilities in these areas within Fractal.

Desired Skills

• High proficiency in Python / Java or similar programming language
• Candidate should be preferably skilled in image processing libraries like OpenCV, dLib Open GL, scikit - learn and TensorFlow, PyTorch, Caffe, Keras and Basic Python Libraries (numpy, panda, os).
• Experience with machine learning especially classification algorithms is required (e.g. k-nn, support vector machine) as well as experience in processing multispectral data
• Technology savvy, updated on the latest research in DL/ML, adaptable, so you can develop new solutions that match the evolving nature AI solutions.
• Personal drive and intellectual curiosity to do what hasnt been done before, coupled with an appreciation for overcoming challenges.
• Good communication skills.
• Knowledge of NLP concepts and algorithms is appreciated.
• Candidate should have experience to work on various operating systems like Windows, Linux etc.
• Candidate should be skilled in debugging programs efficiently and be able to work under tight timelines.
• Candidate should have knowledge of SDLC (Software Development Life Cycle) and Agile methodology.
• Comfortable working in a fast paced, highly collaborative, dynamic work environment.

EducationBachelor degree in Statistics / Mathematics / Computer Science.

A graduate from Tier I Tier II college preferably in Computer Science. Preference for Masters with a concentration in Data Sciences.

At least 2+ years post Bachelors Or at least one internship post during Masters in Data Science AI Roles Or passionate people who have contributed to open source projects Kaggle Github.ExperienceShould have 2 years of consolidated work experience in any of the Data Science domain