Machine Learning Engineer
2 weeks ago
About the Role :
We are seeking a passionate and innovative Machine Learning Engineer to join our team and be a pioneer in the application of AI within the financial services industry.
You will leverage your expertise in machine learning and your understanding of finance to design, develop, and implement AI-powered solutions that automate tasks, improve decision-making, and revolutionize financial operations.
This is an exciting opportunity to be at the forefront of financial technology (FinTech) and contribute to building the world's first zero-human finance operation.
Responsibilities :
- Identify AI Integration Opportunities : Collaborate with financial analysts and business stakeholders to identify areas within existing financial systems where AI integration can enhance efficiency, accuracy, and scalability.
- Design and Build AI Pipelines : Design and develop machine learning pipelines to automate key financial processes like transaction handling, invoicing, and reporting.
- This may involve tasks such as data pre-processing, model training, deployment, and monitoring.
- Develop AI-powered Financial Tools : Build and deploy machine learning models to assist with advanced financial decision-making.
- This may involve tasks such as fraud detection, risk assessment, algorithmic trading, and generating insightful financial forecasts.
- Contribute to a Zero-Human Finance Operation : Play a key role in our ambitious goal of creating a fully automated financial system, leveraging machine learning to minimize human intervention and enhance operational efficiency.
Qualifications :
- Master's degree in Computer Science, or a related field (or equivalent experience)
- Strong understanding of machine learning concepts and algorithms, including supervised and unsupervised learning.
- Experience with popular machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Proficiency in Python programming with experience in data analysis and manipulation (e.g., NumPy, Pandas)
- Familiarity with cloud platforms for model deployment (e.g., AWS SageMaker, Azure Machine Learning) is a plus.
- A demonstrated interest in the financial services industry (e.g., relevant coursework, certifications, or work experience) is a plus.
- Experience leveraging Large Language Models (LLMs) for data analysis or automation is a plus, but not required.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills to effectively interact with both technical and non-technical stakeholders.
Location : Jaipur, Mumbai
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