10 feb
Blue Orange Digital
Nuevo Casas Grandes
.
**Company overview**:**Position overview**:Our Client's AI team is bringing together data, tech, and data science to build game-changing products and services to accelerate impact with their customers.
We are looking for a Machine Learning (ML) Engineer to join their AI Team and support the development of products that serve the needs of their customers, including those in the financial services.The team is tackling key questions, like - How to ensure successful adoption, integration, and utilization of our ML/AI solutions by our clients and internal teams?
How to increase the rigor and scalability of our products to unlock maximum value for our business?At Blue Orange, you'll have the opportunity to work on cutting-edge projects,
leveraging modern machine-learning and AI techniques to deliver tangible business outcomes and drive innovation in our data-driven solutions.
**Responsibilities**:- Develop and maintain a scalable machine learning framework for data science products- Work closely with our data scientists to pilot our products with beta customers- Collaborate with cross-functional teams to understand business requirements and design Gen AI solutions that address complex challenges- Evaluate and select appropriate algorithms and methodologies to solve specific problems and optimize performance- Lead the refinement and iteration of prompt engineering techniques to enhance the effectiveness and efficiency of Gen AI systems- Experiment with retrieval-augmented generation (RAG) approaches to improve the relevance and coherence of AI-generated outputs- Work closely with software engineers and AI researchers to integrate prompt engineering and RAG components into production systems and ensure seamless deployment**Requirements**:- Experience with common data science algorithms and processes (e.G.,
xgboost, hyperparameter tuning)- Advanced knowledge in Python/PySpark and SQL- Experience working with big data technologies (e.G., Hadoop, Spark) and cloud platforms (e.G., AWS, Azure, GCP)- Experience with prompt engineering techniques and experience in refining and iterating on prompts for AI models- Knowledge of retrieval-augmented generation (RAG) methodologies and experience in implementing RAG-based approaches for text generation tasks- Interest or previous experience in financial services and/or credit modeling- Excellent problem-solving skills, critical thinking abilities, and attention to detail- Effective communication skills and the ability to collaborate effectively in a team environment- 3+ years of industry experience as a hands-on practitioner of machine learning engineering- Proven experience with Gen AI systems- Bachelor's degree in computer science, engineering, or a related field- Preferred qualifications:- Advanced degree in a relevant field.- Publications in relevant AI/ML communities and journals.- Deep Learning Expertise Tensorflow and/or Pytorch- Experience Fine-tuning OpenSource LLMs and deploying them
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.