Machine Learning Engineer

• 2+ years of experience building AI/ML based products with predictive and prescriptive analytics capabilities.
• Hands on experience with Python and AI/ML libraries.
• Tools - must: PyTorch/Tensorflow, Scikit-Learn.
• Good to have: Flask, Django, FastApi, GenAI, NLP ,MLOps, Any Vector db
• Proficiency in machine learning techniques and data mining algorithms such as Regression, Clustering, Classification, Decision trees, KNN and SVM.
• Ability to design algorithmic implementation for performing real-time and scalable learning machines.
• Good communication and presentation skills.
• Bachelors/Masters in Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred.
• Must possess a balance of analytic problem solving and strong interpersonal and relationship development skills.

What will excite us:

• Ability to understand non-functional requirements such as scalability, security, application monitoring, performance etc.
• Prior experience with Domain Driven Design (DDD).
• Good experience with Test Driven Development.

What will excite you:

• Opportunity to work on large scale enterprise solution building.
• Opportunity to explore new technologies & frameworks with accomplished solution architects & industry leaders.
• Will get exposure to latest aspects of security, AI/ML, Business Domain and data analytics.

Here are some of the technologies we work with day-to-day right now:

• EF Core/SQL/MongoDB
• Workflow Foundation
• WPF with prism based pluggable architecture
• Biometric Device Integrations
• Ocelot, Consul
• Containerization and CI/CD
• KeyCloak as Auth Service Provider
• Chatbot framework - Integration with messaging services
• Enterprise grade multi-tenant architecture implementation

Here are a few recent projects you might have worked on if you were already part of the team:

Applicant Tracking System:

• B2B Solution with enterprise grade architecture
• Multitenancy support
• Refactoring legacy application to latest technology stack using domain driven design approach
• Containerization
• ElasticSearch and NoSQL Integrations for faster operations
• Event sourcing and CQRS design pattern
• Integration framework with various echo systems
• Platform support for third party applications

Location :