Machine Learning Engineer
2 weeks ago
A fast-growing fintech on a mission to empower businesses to maximize their return on investment (ROI) by streamlining business processes and reducing waste through innovative technology solutions. Leveraging advanced Data Analysis and cutting-edge machine learning techniques, their platform revolutionizes how businesses operate, driving efficiency, productivity, and profitability.
Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.
Position Overview: We are seeking a talented Machine Learning Engineer to join a dynamic team and play a key role in developing and deploying Machine Learning solutions that drive business impact for our clients. The ideal candidate will be passionate about leveraging machine learning technology to solve real-world problems, with expertise in Python programming, building Chatbots, and large language models (LLMs).
Responsibilities:
- Collaborate with cross-functional teams including data scientists, software engineers, and product managers to understand business requirements and design machine learning solutions that address our clients' needs.
- Develop and deploy chatbot systems powered by large language models (LLMs) to automate and streamline business processes, such as customer support, sales, and operations.
- Design and implement end-to-end machine learning pipelines for data preprocessing, feature extraction, model training, and deployment, using Python and machine learning frameworks such as TensorFlow or PyTorch.
- Optimize machine learning models for accuracy, speed, and scalability, considering factors such as data quality, computational resources, and business constraints.
- Develop and maintain robust, scalable, and production-ready codebase for machine learning components, following best practices in software engineering and version control.
- Stay up-to-date with the latest developments in machine learning, artificial intelligence, and fintech industry trends, and actively contribute to knowledge sharing and learning within the organization.
Qualifications:
- Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or related field from OxBridge or top Russell Group University.
- Advanced degree (e.g., MSc or PhD) preferred.
- Proven experience (2+ years) working as a Machine Learning Engineer or similar role, with a strong track record of developing and deploying machine learning solutions in production environments.
- Proficiency in Python programming and experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience with chatbot development frameworks and platforms (e.g., Dialogflow, Rasa) and knowledge of natural language processing (NLP) techniques and tools.
- Familiarity with large language models (LLMs) such as GPT-3 or BERT, and experience with fine-tuning and deploying LLM-based applications is highly desirable.
- Experience working in a startup or fast-paced environment is a plus, with the ability to adapt to evolving priorities and requirements.
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