
Senior AI/ML Engineer
14 hours ago
Company: VectorStack
Employment Type: Full-time
Joining: Immediate (Urgent Requirement)
Company Website: www.vectorstack.co
About VectorStack
VectorStack is a technology solutions provider driving digital transformation and business performance. With expertise across Tech Advancement, Product Evolution, Design Innovation, and Business Transformation, we deliver strategies that create measurable impact. Our solutions power industries like Retail Tech, Ad Tech, FinTech, and EdTech, enabling businesses to unlock their true potential.
Learn more at: www.vectorstack.co
About the Role
We are seeking a highly experienced and passionate AI Engineer with overall experience and 5-7 years of relevant expertise in AI/ML solutioning. This is a senior role ideal for a technologist who thrives on solving complex problems through machine learning, deep learning, and data-driven innovation.
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.
Key Responsibilities
- 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: 5–7 years overall in software/AI development, with 5–6 years hands-on AI/ML expertise.
- Education: Bachelor's/Master's 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.
Soft Skills
- 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.
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