? 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: Solid 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.

1. Has DEPLOYED ML models to production - End-to-end pipeline from data to inference. Not just training.
2. Python with PyTorch or TensorFlow, and Scikit-learn
3. MLOps Tooling: MLflow or Kubeflow + Docker + Cloud ML Platform (AWS SageMaker / GCP / Azure)
4. Data Engineering: Pandas, SQL, ETL Pipelines, Feature Engineering
5. 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 On-site 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:

1. Current CTC, Expected CTC, Notice Period
2. Confirmation: "Yes, I am a Hyderabad local and available for 6 days - Mon-Fri Office + Sat WFH, 10 AM-7 PM"
3. Production Evidence: Which model did you put into production, how is it served, how is it monitored, what happens when it drifts?
4. Stack: PyTorch/TensorFlow, MLflow/Kubeflow, Docker, Cloud Platform used
5. 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] / [email protected]

#MachineLearning #MLEngineer #MLOps #ProductionML #PyTorch #TensorFlow #ScikitLearn #MLflow #Kubeflow #Docker #AWSSageMaker #HyderabadJobs #HyderabadLocalsOnly #Hiring

📌 ML Engineer (Production Deployment) | 3 Openings | Hyderabad Locals Only
🏢 Sirius Lync
📍 Hyderabad