ML Engineer

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: 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. 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 Languages: English: B2 Upper Intermediate