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Luxoft · Hyderabad, Telangana, India

Machine Learning Engineer

seniorfull timePosted 17 days ago
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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 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

- 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 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

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