[Hiring] Lead AI/ML @Weekday AI

Role Description

We are looking for an experienced Lead AI/ML Engineer to solve complex business and operational challenges using advanced Machine Learning and Artificial Intelligence technologies. This role requires a strong combination of technical expertise, business understanding, and hands-on problem-solving capabilities to build scalable AI-driven solutions that create measurable business impact.

• Design, develop, and deploy Machine Learning and AI solutions using Python and modern AI frameworks
• Collaborate with product managers, engineers, and stakeholders to understand business problems and translate them into AI-driven solutions
• Apply ML/AI algorithms across areas such as:
  • Classification
  • Prediction
  • Correlation analysis
  • Root Cause Analysis (RCA)
  • Anomaly detection
  • NLP/NLU
• Build and optimize data pipelines for data collection, preparation, cleansing, transformation, and analysis
• Work with structured and unstructured datasets to derive actionable insights and business recommendations
• Develop prototypes, proof-of-concepts, and scalable AI products
• Implement and optimize Neural Networks, Deep Learning models, and statistical algorithms
• Work with social media and external data sources including Twitter, Reddit, Instagram, Facebook, and similar platforms
• Deliver predictive insights, automation solutions, and measurable business outcomes
• Mentor and guide engineering teams on AI/ML best practices and implementation approaches
• Contribute to architecture discussions, experimentation frameworks, and model deployment strategies

Qualifications

• 10+ years of hands-on experience in Data Science, Machine Learning, and Artificial Intelligence
• Strong expertise in ML algorithms such as:
  • Linear Regression
  • Logistic Regression
  • Decision Trees
  • Random Forests
  • K-Nearest Neighbors
  • Neural Networks
  • NLP/NLU models
• 5+ years of experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, and SparkML
• 4+ years of strong programming experience in Python, R, Scala, Go, or similar languages
• Experience with data processing, analytics, and visualization tools
• Hands-on experience with Git and source control systems
• Strong understanding of model development, evaluation, optimization, and deployment
• Ability to translate business requirements into scalable AI solutions

Requirements

• Experience with Prompt Engineering and Retrieval-Augmented Generation (RAG) systems
• Experience deploying AI/ML workloads on Kubernetes and containerized environments using Docker
• Exposure to LLMs and Generative AI applications
• Experience with AWS AI/ML services such as:
  • SageMaker
  • Comprehend
  • Lex
  • Rekognition
  • Transcribe
  • Lambda
  • EKS
  • S3
• Experience troubleshooting production AI/ML systems
• Familiarity with CI/CD tools such as Jenkins and GitLab
• Understanding of microservices architecture and scalable AI infrastructure

Preferred Skills

• Machine Learning
• Data Science
• Artificial Intelligence
• NLP/NLU
• Python
• TensorFlow
• PyTorch
• SparkML
• Kubernetes
• Docker
• AWS AI Services
• Generative AI
• RAG Systems