Lead AI Data Scientist (Applied AI & Prompt Engineering) - Remote

Overview

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com   

In Short

• Lead development of advanced analytics and AI/ML models including classification, time series, GenAI, and computer vision.
• Design and oversee robust data pipelines using SQL, Spark, and cloud platforms (AWS, GCP, Azure).
• Architect and implement solutions involving LLMs, transformer-based models, and AI agents for generative tasks.
• Manage and mentor a team of data scientists; guide project execution and professional development.
• Collaborate with business stakeholders to translate problems into machine learning solutions.
• Own model lifecycle from data exploration to production deployment and monitoring (MLOps).
• Engage with multimodal data: text, image, audio, or behavioral data from web and app interactions.
• Ensure quality, reproducibility, and documentation of models and findings.

Requirements

• MS or PhD in Data Science, Statistics, Computer Science, or a related field.
• 4+ years of experience in applied machine learning and advanced analytics.
• Effective communication skills to technical and non-technical audiences.
• Proficiency in Python (and optionally R or Scala) with libraries like scikit-learn, TensorFlow, PyTorch.
• Hands-on experience with generative models (e.g., GPT, diffusion models) or multimodal AI.
• Strong SQL and data engineering skills; Spark/Databricks experience is a plus.
• Experience deploying ML models to production (API, batch, or streaming environments).
• Comfortable leading projects and collaborating cross-functionally in a fast-paced, client-facing setting.
• Familiarity with A/B testing platforms and cloud AI services.

Benefits

• Competitive salary range based on experience and qualifications.
• Opportunity to work on cutting-edge AI and data science projects.
• Collaborative and innovative work environment.
• Professional development and mentorship opportunities.
• Flexible working arrangements including remote work.