Generative AI Data Scientist & ML Engineer

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p style="text-align:left"><b><u>Job Description</u></b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p><b>What is the opportunity?

</b></p><p>Are you passionate about pushing the boundaries of artificial intelligence? Do you thrive in environments where innovation and cutting-edge research are at the forefront? We are offering an exciting opportunity to join our team as a <b>Data Scientist / Researcher</b> specializing in <b>Generative AI Models</b>. In this role, you will develop and optimize and use Large Language Models (LLM's), to solve complex problems and drive innovation in our AI solutions.

</p><p></p><p><b>What will you do?</b></p><p>As a researcher in this role, you will focus on the technical implementation and optimization of large language models (LLMs) to bring autonomous AI agents to life within a corporate setting. Your responsibilities will include:</p><ul><li><b>Fine-Tune LLMs:</b> Customize and optimize pre-trained LLMs for specific corporate applications, ensuring high performance and accuracy in various NLP tasks such as text classification, summarization, and entity recognition.

</li><li><b>Vector Search Methodology:</b> Develop and implement advanced vector search techniques, including the creation of efficient indexing and retrieval systems, to enhance the organization's ability to quickly and accurately access relevant information.</li><li><b>Autonomous AI Agents:</b> Design and build autonomous AI agents capable of performing complex tasks autonomously, such as customer service automation, data analysis, and decision-making support.

</li><li><b>Data Preprocessing and Feature Engineering:</b> Prepare and preprocess large datasets, perform feature extraction and engineering, and ensure data quality for training and validating models.</li><li><b>Model Evaluation and Tuning:</b> Conduct thorough evaluations of model performance using appropriate metrics and benchmarks. Perform hyperparameter tuning to optimize model configurations.

</li><li><b>Algorithm Development:</b> Research and implement novel algorithms and techniques to improve model efficiency, scalability, and robustness.</li><li><b>Deployment and Integration:</b> Work on deploying LLMs and AI agents into production environments, ensuring seamless integration with existing systems and workflows.</li><li><b>Continuous Improvement:</b> Monitor model performance in production, diagnose issues, and implement improvements and updates as needed to maintain and enhance model effectiveness.

</li><li><b>Collaborative Research:</b> Collaborate with other data scientists, machine learning engineers, and domain experts to identify new opportunities for applying LLMs and AI agents, and contribute to joint research projects.</li><li><b>Documentation and Knowledge Sharing:</b> Document your methodologies, experiments, and findings comprehensively, and share knowledge with the team through presentations, reports, and technical discussions.

</li></ul><p></p><p><b>What do you need to succeed?</b></p><p><b>Must-Have:</b></p><ul><li><b>Educational Background</b><ul><li>PhD or Master's degree in Engineering, Computer Science, Data Science, or a related field.</li></ul></li><li><b>Research Experience</b><ul><li>8+ years of research experience in Engineering, Computer Science or related fields with a focus on machine learning applications.

</li><li>Proven ability to handle and analyze large datasets (over terabytes of data) and deliver efficient models promptly.</li></ul></li><li><b>Technical Skills</b><ul><li>Proficient in Python and libraries such as NumPy, Pandas, Matplotlib, OpenCV, Scikit-Learn, TensorFlow, Keras, PyTorch, and PySpark.</li><li>Skilled in C++, MATLAB, SQL (MySQL), and R.</li><li>Strong understanding of machine learning techniques, including supervised and unsupervised learning, classification, decision trees, deep neural networks, CNNs, RNNs, AutoEncoders, GANs, and Transformers.

</li><li>Experience with regression modeling, time series analysis, data mining, data cleaning, and ETL processes.</li></ul></li><li><b>Tools and Platforms</b><ul><li>Familiarity with GitLab, GitHub, Bitbucket, JIRA, VSCode, Jupyter Notebook, Spyder, and Eclipse.</li><li>Experience with cloud platforms and tools such as Databricks, Azure Databricks, and AWS S3.</li></ul></li><li><b>Analytical and Problem-Solving Skills</b><ul><li>Exceptional analytical abilities with a talent for identifying model weaknesses and optimizing performance.

</li><li>Strong initiative in approaching complex problems with innovative solutions.</li></ul></li><li><b>Interpersonal Skills</b><ul><li>Excellent communication skills with the ability to lead and collaborate within cross-functional teams.</li><li>Proven organizational skills with the ability to manage multiple large-scale projects simultaneously.</li></ul></li></ul><p><b>Nice to Have:</b></p><ul><li>Experience in developing machine learning algorithms for video recognition and computer vision applications.

</li><li>Background in high-energy physics research and familiarity with international laboratory environments like CERN or similar.</li><li>Published research in reputable journals and contributions to significant projects in the AI and physics communities.</li><li>Recognition through awards or scholarships in related fields.</li></ul><p></p><p><b>What's in it for you?</b></p><ul><li>Work on groundbreaking AI projects that have a significant impact on the industry.

</li><li>Be part of a forward-thinking team that values creativity and innovation.</li><li>Opportunities for continuous learning through training, workshops, and conferences.</li><li>Men