Position Title: AI/ML Engineer                                                               

Department: Data Science 

Reports To: AI/ML Module Lead                                                                                            

Work Location: Bengaluru, Karnataka(WFO)

Position Summary: 

The AI/ML Engineer will be responsible for all aspects of software development, testing, and ensuring compatibility with enterprise and solutions architecture by harnessing modern development technologies. This position will give the AI/ML Engineer an immense opportunity to work on some of the latest technologies and will also provide a rich functional experience and an excellent platform to expand the AI/ML Engineer’s knowledge on the corporate action domain and bring exciting changes to the existing platform. 

Essential Duties and Responsibilities:  

The essential duties of the position include the following, and other duties may be assigned: 

1. Build various NLP models for different applications from scratch. 
2. Build recommendation systems from scratch with images and text. 
3. Build expression analysis models with webcam input to understand emotions. 
4. Build various ML models supporting Psychometric analysis from scratch. 
5. Set up and manage AI/ML development and deployment in production infrastructure. 
6. Identify transfer learning possibilities and build new training datasets wherever required. 
7. Efficiently communicate with business stakeholders to make them understand AI/ML results, and limitations and set the right timeline. 
8. Take responsibility for projects and work with minimal guidance/training. 
9. Stay updated about the latest AI/ML research relevant to our domain. 

Supervisory Responsibilities:  

None 

Qualifications:  

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

Education/Experience:  

Bachelor’s degree in computer science or equivalent from a reputed institute. Experience or knowledge in programming and handling data of various forms and sizes. At least 5 years of hands-on experience in various models on NLP, CNN, RNN, LSTM, Transformer based Clustering, Reinforcement Learning, Regression, etc. Must have extensive knowledge of CV2, TensorFlow, PyTorch, Keras, and other deep-learning libraries. Must have strong mathematical and statistical knowledge. Must have good knowledge of NLP to contribute to ongoing projects. Good knowledge of image classifiers, image captioning, image segmentation, and object detection. Good understanding of attention mechanisms, activation functions, feature engineering, transformers (BERT, S-BERT), and recommendation systems. Added advantage in understanding various databases, APIs, and file formats like JSON, PARQUET and XML. Must have hands-on SQL experience. Good communication skills, able to handle projects alone or as a team. 

Language Ability:  

Ability to read and comprehend instructions, correspondence, and memos. Ability to write moderately complex correspondence. Ability to effectively converse and present information in one-on-one and small group situations to customers, clients, and other employees of the organization. 

Math Ability:  

Ability to add, subtract, multiple and divide on all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rate, ratio and percents.  

Reasoning Ability:  

Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret feedback from non-skilled technical system users to uncover the source of problems and persistence to efficiently provide solutions. Extreme attention to detail is required to ensure proper documentation of facts. Ability to adapt well in the face of workplace stressors such as customer service complaints, maintaining the security of data, competing priorities of high significance to the successful function of the department.

Computer Skills:  

A significant comfort level in using accounting software and a variety of computer software programs such as Microsoft Office products, web browsers, and CRM tools.  

Certificates and Licenses:  

None  

Travel:  

This position does not require travel.  

Work Environment:  

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job in an office environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. A typical, climate-controlled office environment exists. The worker is not substantially exposed to adverse environmental conditions. 

ISM and Privacy Statement: 

1. Data Security and Encryption: Ensure that sensitive data, especially personal and financial data, is encrypted and securely stored within systems. 
2. Access Control and Authorization: Implement role-based access controls and ensure that system permissions align with job functions. 
3. System Security: Perform regular security audits, vulnerability testing, and maintain a secure development environment to avoid unauthorized data access. 
4. Compliance with Privacy Laws: Ensure compliance with privacy regulations (e.g., GDPR) and data retention policies when handling personal data.