Data Science & Engineering Lead

About the role

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.

What you'll do

• Design and implement supervised and unsupervised ML models (e.g., OLS, Logistic Regression, Ensemble Methods) to solve real-world business problems
• Lead model development for advanced architectures in neural networks, such as ANN, CNN, RNN, GAN, Transformers, and RESNet
• Drive NLP advancements with tools like NLTK and neural-based language models
• Oversee the development of computer vision models, utilizing OpenCV for real-world applications
• Lead time-series modeling projects for forecasting and anomaly detection

What you need

• 7–13 yrs of experience
• Machine learning
• SQL
• ETL
• Scikit-learn
• Pandas
• Databricks
• PhD

Good to have

• AWS
• Kafka
• IAM
• Computer vision
• MLOps
• Spark