? We're Hiring: ML Engineer (Production Deployment) | 3 Openings | Hyderabad Locals Only READ THE FULL POST BEFORE APPLYING
- Non-negotiables mentioned below. We have had many profiles fail in tech rounds because of only notebook/Kaggle experience. This time, Quality > Volume. We need engineers who have DEPLOYED models to production, not just trained them. If you can't answer
- Which model did you put into production, how is it served, how is it monitored, what happens when it drifts? Please don't apply. ? Role Snapshot: Role: ML Engineer / MLOps Engineer Openings: 3 Openings
- 1 needed by End of October, 2 by End of November

Location:
Hyderabad ONLY
- Locals Only
- Financial District / HITEC City

Experience:
Strong 1-3 year engineers who have genuinely deployed models to production. 3-6 year JD description but realistic pool is engineers who have actually shipped models. ✅ MUST-HAVES
- NON-NEGOTIABLE: Every submission must have this evidence. No evidence = No submission.
• Has DEPLOYED ML models to production
- End-to-end pipeline from data to inference. Not just training.
• Python with PyTorch or TensorFlow, and Scikit-learn
• MLOps Tooling: MLflow or Kubeflow + Docker + Cloud ML Platform (AWS SageMaker / GCP / Azure)
• Data Engineering: Pandas, SQL, ETL Pipelines, Feature Engineering
• Production Mindset: Monitoring, A/B Testing, Automated Retraining, Inference Speed & Memory Optimization Kaggle, coursework & notebook-only projects DO NOT QUALIFY. ? Working Model
- NOT NEGOTIABLE: Only Hyderabad Locals. Relocation not considered.



Do not apply if you want hybrid / 5-day / remote.
•

Location:
Hyderabad
- Financial District / HITEC City
- New Office
• 6-Day Week: Monday to Friday from Office, Saturday Work From Home
• Hours: 10 AM
- 7 PM
• Until Office Opens (around 15 Dec): Everyone works from home. After that, Mon-Fri In office is compulsory. If you are not a Hyderabad local & not okay with 6-day on-site, please skip. ? Interview Process: Round 1
- Senior Solutions Architect Round 2
- Director of AI
• Assessment may be added if volume is high We will submit at most 7-8 strong profiles per role who genuinely pass technical screening. Not a stack of CVs. ?

How to Apply
- Your submission MUST include:
• Current CTC, Expected CTC, Notice Period
• Confirmation: "Yes, I am a Hyderabad local and available for 6 days
- Mon-Fri Office + Sat WFH, 10 AM-7 PM"
• Production Evidence: Which model did you put into production, how is it served, how is it monitored, what happens when it drifts?
• Stack: PyTorch/TensorFlow, MLflow/Kubeflow, Docker, Cloud Platform used
• Why this role and why now? Profiles without these 5 points will not be considered. ? DM with all 5 points + Resume ? Tag a Hyderabad-based ML Engineer (1-3 yrs) who has actually shipped models to prod ? Contact for Details: PJ Aravind Babu +91 (phone hidden) / (phone hidden) [email protected] / PJ.
[email protected] #MachineLearning #MLEngineer #MLOps #ProductionML #PyTorch #TensorFlow #ScikitLearn #MLflow #Kubeflow #Docker #AWSSageMaker #HyderabadJobs #HyderabadLocalsOnly #Hiring

📌 ML Engineer (Hyderabad)
🏢 Sirius Lync
📍 Hyderabad