AI/ML Engineer

Skills:

About VectorStack

About The Role

As a Senior Contributor, You Will

• Lead the end-to-end design, development, and deployment of AI/ML solutions.
• Provide technical leadership and mentorship to junior engineers.
• Collaborate cross-functionally to ensure AI initiatives deliver business value and innovation at scale.
  

• AI Solution Delivery: Design, develop, and deploy scalable AI/ML models across multiple domains.
• Model Development & Optimization: Build, fine-tune, and optimize ML/DL models for performance and efficiency.
• Leadership & Mentoring: Guide junior engineers, influence architectural decisions, and foster knowledge sharing.
• Data Engineering: Oversee preprocessing, transformation, and feature engineering for large and complex datasets.
• Cross-Functional Collaboration: Partner with Product, Data, and Engineering teams to align AI projects to business needs.
• Deployment & Monitoring: Deploy models in production using AWS/GCP/Azure with MLOps best practices.
• Research & Innovation: Stay current with AI/ML advancements and integrate emerging tools and frameworks.
• Code Quality & Documentation: Ensure clean, efficient, and version-controlled code with strong documentation.
  

Required Qualifications

• Experience: 58 years overall in software/AI development, with 56 years hands-on AI/ML expertise.
• Education: Bachelors/Masters in Computer Science, Data Science, AI/ML, or related fields.
• Programming Proficiency: Expert-level Python (NumPy, Pandas, Scikit-learn, Matplotlib, etc.).
• Machine Learning & AI: Strong knowledge of regression, classification, clustering, recommendation systems, cross-validation, and feature selection.
• Deep Learning & Neural Networks: Expertise in CNNs, RNNs, LSTM, ResNet, VGG, etc. Experience in computer vision tasks (image classification, detection, segmentation).
• Version Control: Proficient with Git and collaborative development tools.
• Software Engineering: Solid background in algorithms, data structures, API development, and modular code.
  

Preferred Skills

• Web Frameworks: Experience with Flask/Django for AI-driven applications.
• Computer Vision: Hands-on with OpenCV, real-time image processing, and object tracking.
• NLP: Experience in NER, text classification, sentiment analysis, transformers, and BERT models.
• Cloud & MLOps: Deployment on AWS/GCP/Azure with Docker, Kubernetes, MLflow, or SageMaker.
• Big Data & Pipelines: Exposure to Spark, Hadoop, or Airflow for large-scale data pipelines.
  

• Excellent analytical and problem-solving abilities.
• Strong communication skills to convey complex technical concepts simply.
• Proven leadership and mentoring capabilities.
• Strong sense of ownership, accountability, and detail orientation.