Machine Learning Engineer

Total Experience : 8-12years

Location : Hyderabad

Notice Period : Immediate to 30days only

Position : 1

We're seeking a talented ML Engineer to help build, deploy, scale and maintain machine learning models and optimize our ML workflows and infrastructure.

Key Responsibilities

Design and develop high-performance, scalable, and reliable machine learning pipelines and model deployment systems

Build and maintain MLOps infrastructure for model training, validation, deployment, and monitoring

Create automated ML workflows for data preprocessing, feature engineering, model training, and evaluation

Deploy models to production environments and ensure optimal performance and reliability

Integrate ML models with existing data infrastructure and APIs

Implement model versioning, A / B testing frameworks, and continuous integration / deployment for ML systems

Monitor model performance, detect drift, and implement retraining strategies

Create custom tools and frameworks to streamline ML development and deployment processes

Collaborate with data scientists to productionize research models and experiments

Requirements

Proficiency in machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or MLflow

Strong expertise in Python and / or Scala for ML development. Experience with R is a plus

Excellent knowledge of ML algorithms, statistical methods, and model evaluation techniques

Deep understanding of MLOps practices, containerization (Docker, Kubernetes), and cloud platforms (AWS, GCP, Azure)

Proficiency in distributed computing and experience with Spark for large-scale ML workloads

Experience with model serving frameworks (TensorFlow Serving, Seldon, KubeFlow) and API development

Knowledge of feature stores, experiment tracking, and ML metadata management

Experience with SQL / NoSQL databases and data warehousing for ML feature engineering

Understanding of software engineering best practices, version control (Git), and CI / CD pipelines

Experience with monitoring and observability tools for ML systems

Ability to work independently and collaboratively within cross-functional teams

Flexible, adaptive, quick learner with strong problem-solving skills