Hello G***e, I came across your profile and was really impressed by your journey,from your Service Delivery and support roles at A***I to your current Data Scientist , Machine Learning training via OpenClassrooms. Your hands-on experience building and deploying models in a hybrid environment caught my eye. I’m J***e, an HR recruiter at StrategyBrain, and we’re partnering with I***I on a Machine Learning Engineer position. Given your background in algorithm development, data pipelines, and production model maintenance, I believe you could be a strong fit. Would you be open to a quick chat to discuss the role and see if it aligns with your career goals? I’d love to share more details and hear about what you’re looking for next.

Hi G***e, Great to hear you’re interested! Here’s a bit more about I***I and the Machine Learning Engineer role: • Company & Culture , I***I is a fast-growing AI and data analytics firm that partners with clients across industries. , We pride ourselves on collaboration, continuous learning and innovation,our teams regularly share best practices, run brown-bag sessions and attend conferences. • Role & Responsibilities , Design, train and deploy scalable machine-learning models to solve real-world business problems. , Collaborate with data engineers and analysts to collect, clean and preprocess large datasets. , Build and maintain production data pipelines and model-serving infrastructure (Python, relevant frameworks). , Monitor model performance in production, tune and retrain models to ensure robustness. , Document workflows, participate in code reviews and help define team best practices. • Why It Fits Your Background , Your OpenClassrooms projects at A***I gave you real experience in model deployment and pipelines,exactly the challenges you’d tackle here. , You’ll continue honing your Python and ML skills while working alongside experienced data engineers and scientists. • Growth & Impact , You’ll own key components of our ML stack from day one, with a clear path toward Senior ML Engineer and technical leadership. , Your work will directly influence product decisions and client success, giving you high visibility and impact. • Support & Benefits , We provide access to cutting-edge tools, GPU clusters and a mentorship program. , Competitive salary, annual performance bonus and stock-option plan. , Flexible hybrid schedule, plus training budget for conferences and certifications. Does this sound like what you’re looking for? I’d love to set up a 30-minute chat to dive deeper and answer any questions. I’m available tomorrow (Wednesday) at 3:00 PM CET or Thursday at 10:00 AM CET,let me know which works best for you, or feel free to propose another time. Looking forward to it! Best, J***e HR Recruiter, StrategyBrain (partnered with I***I)

Great, Thursday at 10:00 AM CET is all set on my end. To send you the calendar invite and any prep materials, could you please share your preferred contact,an email address or phone/WhatsApp works best for me. If you have your latest CV or resume handy, feel free to send it over so our team can review your background before we chat. Looking forward to speaking with you!

Hi G***e, Thanks for sending over your CV,I’ve received it. I’ve just shared a 30-minute calendar invite for Thursday at 10:00 AM CET with a Zoom link. During our chat, we’ll dive into your ML pipeline work at A***I and walk through the Machine Learning Engineer role at I***I. In the meantime, feel free to let me know if there’s anything specific you’d like to discuss or any questions I can answer before Thursday. Looking forward to our conversation! Best, J***e HR Recruiter, StrategyBrain (partnered with I***I)

Great, G***e,Thursday at 10 AM CET is all set. We’ll kick off by diving into your A***I ML-pipeline projects, then I’ll share some of I***I’s current challenges and discuss next steps. If there’s anything specific you’d like to cover,any code samples, project links or topics,feel free to send them over beforehand. Otherwise, I look forward to our conversation on Thursday. Have a great day!

Thanks for sharing your GitHub, G***e! I’ll review your notebooks, feature-engineering scripts, and deployment code ahead of our chat. If there’s any particular part you’d like to highlight, just let me know. Looking forward to diving into your work on Thursday at 10 AM CET. Speak soon!