Data Science & Engineering Lead - Remote

Overview

Lead the charge in AI and data innovation as our Data Science & Engineering Lead. Here, you’ll work hands-on with our talented team to build and deploy high-impact ML models, optimize our data systems, and drive actionable insights. If you’re skilled in advanced AI tools like Databricks, Spark, and Azure, and excited to push boundaries in machine learning and engineering, we want you on our team. Join us for meaningful work, a collaborative culture, and competitive benefits.

In Short

• Design and implement supervised and unsupervised ML models to solve real-world business problems.
• Lead model development for advanced architectures in neural networks.
• Drive NLP advancements with tools like NLTK.
• Oversee the development of computer vision models.
• Lead time-series modeling projects for forecasting.
• Utilize AI techniques to enhance model performance.
• Build and maintain scalable data pipelines.
• Architect and optimize lakehouse solutions.
• Lead the development of ETL processes.
• Design and optimize database models for OLTP and OLAP systems.

Requirements

• Proven expertise in supervised and unsupervised ML, advanced deep learning.
• Hands-on experience with machine learning libraries and tools.
• Proficiency in AI model development using LLM libraries.
• Strong MLOps skills with experience deploying scalable pipelines.
• Advanced skills in big data frameworks.
• Expertise in ETL processes and data pipeline development.
• Strong knowledge in lakehouse architectures.
• Proficiency in cloud platforms, particularly AWS or Azure.
• Proficiency with Infrastructure as Code tools.
• Advanced skills in GPU acceleration and distributed model training.

Benefits

• Collaborative culture.
• Competitive benefits.
• Opportunities for professional growth.
• Mentorship programs.
• Work on cutting-edge AI/ML projects.