Staff AI & Machine Learning Engineer

Day-to-Day Responsibilities:

• Lead the design, development, and implementation of advanced Machine Learning models, including neural networks, statistical and mathematical models, to solve complex business problems.
• Actively explore and apply the latest innovations in Generative AI (GenAI), Large Language Models (LLMs), and Agents to create cutting-edge solutions.
• Serve as a technical reference and mentor for the Data Science team, fostering professional development and knowledge sharing.
• Collaborate closely with cross-functional teams (Engineering, Product, Business) to identify opportunities, translate requirements into technical solutions, and ensure value delivery.
• Conduct complex exploratory data analyses, identifying patterns, trends, and actionable insights that guide strategic decision-making.
• Monitor and optimize the performance of models deployed in production environments, ensuring their robustness and efficiency.
• Research and propose the adoption of new technologies, tools, and methodologies in Data Science and AI.
• Define and acquire the necessary datasets for analyses and modeling in high-scale exploratory and production environments.

What We're Looking For:

• Bachelor's degree in Computer Science, Physics, Mathematics, Statistics, or related fields.
• Proven experience in building and implementing machine learning models, including neural networks, statistical and mathematical models.
• Deep knowledge and hands-on experience with GenAI, LLMs, and Agents.
• Experience in Data Engineering, including pipeline design, ETL/ELT, and database optimization.
• Experience in training, developing, and providing technical leadership for Data Science teams.
• Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL.
• Ability to solve complex problems analytically and creatively with a results-oriented approach.
• Excellent communication, leadership, and interpersonal skills, with the ability to influence and collaborate across different levels of the organization.
• Proactivity, curiosity, and a passion for continuous learning.

Preferred Qualifications:

• Experience with Big Data tools (e.g., Spark, Hadoop, Kafka).
• Strong knowledge in Data Engineering, including pipeline design, ETL/ELT, and database optimization.
• Knowledge of cloud platforms (AWS, GCP, Azure) for developing and deploying AI solutions.
• Portfolio of relevant projects in Data Science, especially those involving GenAI and LLM applications.
• Publications or contributions to the Data Science/AI community.

If you identify with this description and are ready for a new challenge where you can exercise your technical leadership and make a significant impact, apply now! Join the Bling team and help us innovate and build a data-driven future.