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

• :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 product
• sEnsure best practices in data engineering and contribute to architectural decision
• sContribute to the mentoring and development of junior team members
• .Support senior team members in identifying and addressing data science opportunities

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Mandatory Skills Descriptio

• n:Strong proficiency in Python and ML libraries such a
• s:pandas, NumPy, scikit-lea
• rnXGBoost, LightGBM, CatBoo
• stTensorFlow, Keras, PyTor
• chExperience with model deployment and serving tool
• s:ONNX, TensorRT, TensorFlow Serving, TorchSer
• veFamiliarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelin
• esExperience working with distributed data processing using PySpar
• k.Solid understanding of software engineering principles and version control (e.g., Git
• ).Excellent problem-solving skills and ability to work independently or in a tea
• m.Typically, 6+ years of relevant work experience in industry, with a minimum of 2+ years in a similar rol
• e.Proficiencies in data cleansing, exploratory data analysis, and data visualizati
• onContinuous learner that stays abreast with industry knowledge and technolo

gy
Nice-to-Have Skills Descripti

• on:Previous experience in Capital Markets software development proje