Data Science & Engineering Lead

The role

The Data Science & Engineering Lead will build and deploy ML models, optimize data systems, and drive actionable insights. This role involves leading model development, architecting lakehouse solutions, and mentoring junior team members.

What you will do

• Design and implement supervised and unsupervised ML models.
• Lead model development for advanced neural network architectures.
• Drive NLP advancements with NLTK and neural-based language models.
• Oversee the development of computer vision models using OpenCV.
• Lead time-series modeling projects for forecasting and anomaly detection.
• Utilize AI techniques like RAG, CoT, and MOA to enhance model performance.
• Build and maintain scalable data pipelines for streaming and batch processing.
• Architect and optimize lakehouse solutions using Delta/Iceberg and bronze-silver-gold architectures.
• Lead the development of ETL processes with Airflow, DBT, and Airbyte.
• Design and optimize database models for OLTP and OLAP systems.

Required qualifications

• Expertise in supervised and unsupervised ML and advanced deep learning.
• Hands-on experience with Scikit-learn, Pandas, and Numpy.
• Proficiency in AI model development using LLM libraries like Langchain, Huggingface, and OpenAI.
• Strong MLOps skills with experience deploying pipelines using Sagemaker, Databricks, and Azure ML Studio.
• Advanced skills in big data frameworks like Apache Spark, Glue, and EMR.
• Expertise in ETL processes and data pipeline development with Airflow, DBT, and Airbyte.
• Strong knowledge in lakehouse architectures and data quality frameworks like Great Expectations.
• Proficiency in cloud platforms (AWS or Azure) and services like IAM, VPC, Lambda, API Gateway, Batch, Kinesis, and Kafka.
• Proficiency with Infrastructure as Code tools such as Terraform or CloudFormation.
• Advanced skills in GPU acceleration, CUDA, and distributed model training.
• Ability to architect and deploy scalable machine learning and data-intensive systems.
• Proficiency in database modeling for OLTP/OLAP systems and relational and NoSQL databases.

Nice to have

• Master’s or PhD in Data Science or a related field
• AWS or Azure certification

Benefits

• competitive benefits

About the company

Particle41 is driven by core values of Empowering, Leadership, Innovation, Teamwork, and Excellence (ELITE).