Project Description:
We're seeking a passionate and skilled Machine Learning Engineer to join our growing team in Hyderabad. You'll play a key role in designing, developing, and deploying scalable ML solutions in Capital Markets. This is a fantastic opportunity to work with cutting-edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment.

Responsibilities:
Design and implement robust machine learning models using contemporary frameworks and libraries.
Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions.
Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT.
Build and manage ML pipelines using MLflow, Kubeflow, and AWS ML pipelines.
Work with large-scale data using PySpark and integrate models into production environments.
Monitor model performance and retrain as needed to ensure accuracy and efficiency.
Collaborate with cross-functional teams to integrate AI solutions into scalable products




Ensure best practices in data engineering and contribute to architectural decisions
Contribute to the mentoring and development of junior team members.
Support senior team members in identifying and addressing data science opportunities.

Mandatory Skills Description:
Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn
XGBoost, LightGBM, CatBoost
TensorFlow, Keras, PyTorch
Experience with model deployment and serving tools:
ONNX, TensorRT, TensorFlow Serving, TorchServe
Familiarity with ML lifecycle tools:
MLflow, Kubeflow, Azure ML Pipelines
Experience working with distributed data processing using PySpark.
Solid understanding of software engineering principles and version control (e.g., Git).
Excellent problem-solving skills and ability to work independently or in a team.
Typically, 6+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role.
Proficiencies in da

📌 Machine Learning Engineer (Noida)
🏢 Luxoft
📍 Noida