Job Summary

We are looking for a highly skilled Machine Learning Engineer to design, develop, deploy, and optimize AI/ML solutions that solve real-world business challenges. The ideal candidate will have strong expertise in machine learning algorithms, data engineering, MLOps, model deployment, and cloud-based AI platforms. The role involves working closely with data scientists, software engineers, and business stakeholders to build scalable AI products and intelligent automation solutions.

Key Responsibilities

Design, develop, train, and deploy machine learning models for business and industrial use cases.
Build end-to-end ML pipelines covering data ingestion, feature engineering, model training, validation, deployment, and monitoring.
Develop predictive analytics, recommendation systems, anomaly detection, forecasting, and classification solutions.
Work with structured, semi-structured, and unstructured datasets.
Optimize model performance, accuracy, scalability, and inference latency.
Implement MLOps practices for continuous training, deployment, and monitoring.
Collaborate with software engineering teams to integrate ML models into enterprise applications.
Evaluate and benchmark machine learning and deep learning models.
Develop proof-of-concepts and production-ready AI solutions.
Stay updated with the latest advancements in AI, Machine Learning, Deep Learning, and Generative AI.

Skill Requirements

Machine Learning
Supervised & Unsupervised Learning
Classification & Regression
Clustering Techniques
Ensemble Methods
Recommendation Systems
Time Series Forecasting
Statistical Modeling
Feature Engineering
Deep Learning
Neural Networks
CNN, RNN, LSTM
Transformers
Computer Vision Models
NLP Models
Transfer Learning
Python (Mandatory)
R (Good to Have)
ML Frameworks
Scikit-learn
TensorFlow
PyTorch
XGBoost
LightGBM
Data Engineering
Pandas
NumPy
Data Processing Pipelines
MLOps & Deployment
MLflow
Model Monitoring
Model Versioning

Other Requirements

Kubeflow
Docker
Kubernetes
CI/CD Pipelines
Cloud Platforms

Microsoft Azure Machine Learning
Azure AI Services
AWS SageMaker
Google Vertex AI
Databases
SQL Server
PostgreSQL
MongoDB