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      ITS ConGlobal

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      Remote ML Interview

      6 Mar 2025
      Anonymous interview candidate
      Declined offer
      Neutral experience
      Average interview

      Application

      I interviewed at ITS ConGlobal

      Interview

      There's a Scammer pretending to be this company. If you get any email like the below ignore them, they want you to "buy" equipment and keep your money. ```Greetings, I'm pleased to inform you that your application for the position at ConGlobal has been received. We are currently looking for a ML Engineer (Remote) to join our team. Your skills have caught our attention, and you are among the candidates shortlisted for the open position. If you remain interested in this opportunity, please confirm by responding with "YES" and acknowledge the receipt of this email. Best Regards, HR Department N: Luke Chen P: Senior Talent Acquisition Specialist A: 260 Ferry Street Suite 200, Albany, OR 97321. ConGlobal we are pleased to inform you that we would like to proceed with the interview process. Attached to this email, you will find the interview questions that form part of our screening and evaluation process. It is essential to note that there are no definitively "correct" answers; the questions are designed to assess your skills and provide insights into your approach to tasks relevant to the position. To ensure the seamless handling of your responses, we kindly request that you submit them in either a doc or pdf format. Should you have any queries or require clarification, do not hesitate to reach out via email. Please be advised that this role is exclusively W2, and regrettably, we do not offer C2C/H1B Visa sponsorship for this position, both currently and in the foreseeable future. We are specifically seeking candidates available for an immediate start upon successful hiring. The deadline for your submission is tomorrow at 6 p.m. CST. We appreciate your prompt attention to this matter. I am pleased to extend my congratulations as ConGlobal has chosen to offer you the position of ML Engineer (Remote). Moving forward, I will provide you with your daily responsibilities via email, and I will be available online to guide you through them. Upon setting up your workstation, you will immediately commence a 3 to 5-day online training session via Zoom. Your compensation for this role will be at a rate of $56 per hour, with weekly payments facilitated through wire transfer, direct deposit, or check, based on your preference. Employee benefits, including health, vision, PTO, 401k, dental insurance, and employee wellness, will be made available. Further benefits will be extended after your initial 3 months of service. Our communication will be virtual until you complete your initial 5 days with us. Subsequently, you will be provided with a user ID and password, access to the company server, a list of departmental contact phone numbers, and all necessary forms. Before commencing your duties, you will be remunerated (via check) to set up your workspace, procuring the required office equipment and software for your training and work. You will soon receive your Employment Offer Letter. We are eager for you to initiate your training at the earliest opportunity. To facilitate your registration and offer letter preparation, kindly provide the following information to the HR department: Your Complete Name Full Mailing Address Contact Information Your Email Address You must send the following information that I will forward to the HR as soon as possible so that they can register you and prepare your offer letter. Congratulations on your decision to join ConGlobal. We are pleased to extend to you the official job offer for your consideration, which is attached to this email. Kindly review the offer letter thoroughly, sign it electronically, and promptly return the signed document to us. Upon acceptance of this job offer, you will be expected to work between 30-40 hours per week, with the flexibility to determine your working hours according to your convenience. Additionally, the company will provide you with the necessary items to set up your workstation. Funding for the purchase of the equipment will be made available to you prior to the procurement and delivery process. The required equipment includes: Apple 2023 MacBook Pro Laptop M2 Max Chip 14.2-inch Liquid Retina XDR Display 32GB Unified Memory 1TB SSD Storage HP LaserJet Pro M15w printer External hard drive/backup system Headphones with microphone Router and networking skills Proof Hub, GitHub, and surge protectors Crimson Editor Adobe Suite Upon the procurement of the specified equipment, the company's approved vendors will arrange for its delivery either to your home address or a post office nearby, based on your preference. In order to proceed with the onboarding process, kindly respond to this email with the signed offer letter attached, along with a copy of your valid front and rear ID for employment confirmation. Following the completion of this step, a check for the specified equipment will be prepared for your workspace. You will commence your training as soon as the equipment is delivered. ``` Anyone emailing you like this is a scammer.

      Interview questions [1]

      Question 1

      *SCAM* They sent a questionnaire with this as the only screening aspect. 1. Are you currently employed? 2. Explain the difference between supervised and unsupervised learning. 3. Explain how a decision tree works. 4. How do you handle imbalanced datasets? 5. How would you handle missing data in a dataset? 6. How do you prevent overfitting in a machine learning model? 7. Can you describe a real-world machine learning project you've worked on? 8. What challenges did you face in your previous machine learning projects, and how did you overcome them? 9. How do you choose between different machine learning algorithms for a specific problem? 10. What programming languages are you comfortable with for machine learning tasks? 11. Have you worked with popular machine learning frameworks such as TensorFlow or PyTorch? 12. How do you deploy machine learning models into a production environment? 13. Can you discuss potential ethical concerns related to machine learning applications? 14. How do you handle bias in machine learning models? 15. What steps would you take to ensure the fairness of a machine learning model? 16. Are you familiar with any recent advancements in the field of machine learning? 17. Have you worked with or explored any new techniques or models in the past year? 18. How do you stay updated on the latest developments in machine learning? 19. How could your skills and experience add value to our organization? 20. How much will you request per hour if you are hired?
      1 Answer