Machine Learning Engineer

Luxoft; Hyderabad; On-site; INR 2,000,000 - 3,200,000; Full time

Job summary

Luxoft in Hyderabad seeks a passionate Machine Learning Engineer to design, develop, and deploy scalable ML solutions in Capital Markets. You will work with cutting-edge tools, translate business needs into technical results, and drive production-grade models.

You will mentor juniors and collaborate with cross-functional teams to deliver impactful AI-enabled products. A deep understanding of ML lifecycles and distributed data processing is essential.

Qualifications

• Strong proficiency in Python and ML libraries: pandas, NumPy, scikit-learn.
• XGBoost, LightGBM, CatBoost.
• Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe.
• Familiarity with ML lifecycle tools: MLflow, Kubeflow, AWS ML Pipelines.
• Experience with distributed data processing using PySpark.
• Solid understanding of software engineering principles and Git.
• 6+ years of relevant work experience; 2+ years in a similar role.
• Proficiency in data cleansing, exploratory data analysis, and data visualization.
• Continuous learner staying updated with industry knowledge.

Responsibilities

• Design and implement robust ML models using modern frameworks and libraries.
• Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions.
• Optimize and deploy models using 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 data engineering best practices and contribute to architectural decisions.
• Contribute to mentoring and development of junior team members.
• Support senior team members in identifying data science opportunities.

Skills

Python

Pandas

NumPy

scikit-learn

XGBoost

LightGBM

CatBoost

PySpark

Git

Problem solving

Teamwork

Tools

TensorFlow Serving

TorchServe

ONNX

TensorRT

MLflow

Kubeflow

AWS ML Pipelines

Job 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 modern 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
• Experience with model deployment and serving tools:
• ONNX, TensorRT, TensorFlow Serving, TorchServe
• Familiarity with ML lifecycle tools:
• 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 data cleansing, exploratory data analysis, and data visualization
• Continuous learner that stays abreast with industry knowledge and technology

Nice-to-Have Skills Description

• Previous experience in Capital Markets software development projects