Artificial Intelligence/Machine Learning Engineer

## Full Description Artificial Intelligence / Machine Learning Engineer The AI Engineer is responsible for the deployment, integration, and enhancement of the organization’s artificial intelligence, machine learning models and advanced analytics artifacts. The candidate works with the business analysts, applications consultants, data scientists, data engineers, and Dev Ops engineers in order to understand and lead the introduction and integration of artificial intelligence / machine learning (AI/ML) models to support business requirements and enhancements in multiple industries and scenarios. Responsibilities: • Understand business problems and select the best AI approach and models to solve them through experimentation and evaluation metrics. • Use machine learning techniques like transfer learning, fine-tuning, prompt engineering to tweak pre-trained AI models to specific use case or task. • Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions. • Building reusable production data pipelines for implemented machine learning models. • Writing production-quality code and libraries. • Recommend and provision the technology infrastructure required for AI models training, fine-tuning, and serving. • Operationalize AI/ML models for both online scoring and batch scoring using containerization, APIs development, and scheduled jobs. • Automate the deployment of AI/ML models using techniques like MLOps, AIOps, and Model Ops. • Lead and train junior team members. • Develop and maintain technical documentation and operation manuals. Qualifications: • Bachelor's degree in fields like Computer Science, Computer Engineering, Business Analytics, or a related field. • Master’s degree in Artificial Intelligence or Software Engineering is preferred. • Advanced working knowledge and experience in APIs integration and software development. • Advanced working knowledge and experience using Python and C#. • Experience in AI/ML development using libraries like scikit-learn, Tensor Flow, and PyTorch. • Experience in working with structured, semi-structured, and unstructured data. • Experience in using Agile and Dev Ops practices for software applications delivery. • Must have a strong understanding of CI/CD practices and technologies specifically Azure Dev Ops. • Experience using Microsoft Azure storage and services is a plus. Required Experience: • 5+ years hands-on data science / AI /ML experience. • Python, Spark, Hadoop, Docker, with an emphasis on good coding practices in a continuous integration context, model evaluation, and experimental design. • Test-driven development (prefer py. test/nose), experience with Cloud environments. • Open-source GenAI production deployment and monitoring (both on-prem and cloud). • RAG applications development, evaluation, and production deployment. • Vector Databases. • GenAI frameworks and toolset: Langchain, Llama Index, etc. • AI Agentic workflows. Seniority level Associate Employment type Contract #J-18808-Ljbffr

Back to blog

Other Jobs To Apply

No other job posts for this day.

Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...