Amnet Digital - Senior Data Scientist
Amnet Digital•Hyderabad
Full-timeSenior
👁️ 5 views•📝 0 applications•Posted 8/1/2026•Expires 9/4/2026
This role is no longer accepting external applications
It closed on 9/4/2026. The full description is kept below for reference. You can express your interest directly via ResumeKart below to be placed in our priority candidate showcase for recruiters hiring for similar roles.
Get alerts for roles like this
More Amnet Digital - Senior Data Scientist roles in Hyderabad — straight to your inbox. No account needed.
Applying to this role? Tailor your résumé to this job description in one click, then download it clean — no watermark, no subscription.
Job Description
Job Title : Senior Data Scientist
Location : [Hybrid]
Experience : 5+ years
About the Role :
We are looking for a hands-on Senior Data Scientist to build, deploy, and scale production-grade ML solutions. You will own the end-to-end ML lifecyclefrom data pipelines to deploymentand measure success by real-world business impact.
Key Responsibilities :
Model Development :
- Build and deploy enterprise ML models for forecasting, classification, regression, anomaly detection, and recommendation systems.
End-to-End Pipelines :
- Own the entire ML pipeline, including data ingestion, feature engineering, model training, validation, and production deployment.
Advanced AI/Retrieval :
- Apply embeddings, vector search, and representation learning for similarity and retrieval-augmented workflows (RAG).
MLOps & Observability :
- Drive containerization, CI/CD, versioning, A/B testing, and model monitoring (drift, latency, data quality).
Cross-Functional Collaboration :
- Translate complex business problems into well-scoped technical solutions alongside engineering and product teams.
What Were Looking For :
Experience :
- 5+ years of experience deploying enterprise-grade ML models in a product setting.
Tech Stack :
- Strong proficiency in Python and the core ML stack (Scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow).
Core Expertise :
- Deep knowledge of supervised/unsupervised learning and time-series forecasting.
Bonus Skills :
- Hands-on experience with vector databases (FAISS, Pinecone, pgvector), LLM/RAG pipelines, and cloud platforms (AWS/GCP/Azure).
Required Skills
A/B TestingAWSAzureCI/CDCross-functional CollaborationData ScienceForecastingGCPMachine LearningPythonPyTorchTensorFlow
Prepare to Win This Role
Everything you need to ace the interview and negotiate top-of-band compensation.