Machine Learning Engineer

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

Key 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.

Skills

Must have

• 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

• Previous experience in Capital Markets software development projects