Senior ML Engineer

Ai Ml Engineer
Hyderabad
December 8, 2025
Full Time
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Job Description

Feuji Software Solutions Pvt Ltd, a global leader in digital transformation and cloud services, is hiring experienced Senior ML Engineers for our Hyderabad office. If you are passionate about building scalable ML systems and driving real-world innovations, this role is designed for you.

About Feuji

Founded in 2014 and headquartered in Dallas, Texas, Feuji delivers advanced technology solutions from its delivery centers in Hyderabad, Bangalore, and Costa Rica. With 600+ skilled engineers, Feuji partners with top enterprises including Microsoft, HP, DXC, and GSK — transforming industries like Healthcare, Education, and IT.

Recognized as a “Best Place to Work”, Feuji promotes a culture where innovation, continuous learning, and people happiness come first.

Role Overview

As a Senior Machine Learning Engineer, you will:

✔ Lead the development, deployment & scaling of end-to-end ML systems
✔ Design MLOps architectures for model automation, governance & observability
✔ Optimize distributed ML workloads across cloud environments
✔ Mentor junior engineers and enforce best practices for production ML

This is a Full-time, Permanent position.

📍 Location: Hyderabad
📌 Experience: 6–10 years

Key Responsibilities

🔹 Machine Learning Engineering

  • Build production-grade ML models including supervised, unsupervised & deep learning systems
  • Perform advanced feature engineering, hyperparameter tuning & model explainability (LIME/SHAP)
  • Maintain data parity between online and offline feature stores

🔹 MLOps & Automation

  • Develop automated ML pipelines for training, deployment & retraining
  • Leverage MLflow, W&B, or Neptune for experiment tracking & model registry
  • Deploy scalable serving infrastructure using TorchServe, BentoML or Triton
  • Implement drift detection, A/B testing, and version governance

🔹 Model Monitoring & Observability

  • Track latency, model accuracy, data drift & concept drift
  • Build monitoring dashboards using Grafana, CloudWatch, Kibana
  • Configure alerts through Slack / PagerDuty

🔹 Data Engineering & Validation

  • Write complex SQL queries using CTEs & window functions
  • Work on cloud data warehouses: Snowflake, Databricks, Redshift, BigQuery
  • Data quality checks using Great Expectations, Deequ, TFDV
  • Ensure lineage, security & compliance (Unity Catalog, DataHub)

🔹 Platform Engineering

  • Create reusable, cost-optimized ML platforms on Kubernetes/EKS
  • Monitor cloud resource utilization and performance efficiency (Kubecost)

Required Skills

  • Strong experience in ML system design and model lifecycle management
  • Expertise in Python & Bash scripting
  • Solid knowledge of Kubernetes and Docker
  • ML algorithms: Regression, Classification, Clustering, Transformers, CNN, RNN
  • Libraries/Tools: TensorFlow, PyTorch, XGBoost, CatBoost, LightGBM
  • Feature Stores, Model Serving & Orchestration Tools (Airflow, Kubeflow, Prefect, Metaflow)

Preferred / Good-to-Have

  • Cloud ML services: AWS SageMaker, GCP Vertex AI, Azure ML
  • Distributed training frameworks: Ray, Horovod
  • Model optimization: Pruning, Distillation, Quantization
  • Experience with AutoML or Open-source contributions