AI/ML Engineer

Job Summary

When you work with Carnera, we make sure you get the Best.

Carnera is a product engineering company working with innovative, US-based startups and enterprises. We provide full-stack product development support, building products that are efficient, scalable, and fun to interact with. We solve hard technical problems while transforming customer ideas into successful products.

We are looking for an AI/ML Engineer who is passionate about building cutting-edge solutions in AI, Machine Learning, NLP, Deep Learning, OCR, and Computer Vision, and has hands-on experience with modern tools and cloud platforms.

Responsibilities

• Design, develop, and deploy AI/ML models for real-world applications.
• Work with NLP, OCR, RAG (Retrieval-Augmented Generation), computer vision, and deep learning pipelines.
• Build and manage vector databases for semantic search, embeddings, and knowledge retrieval.
• Collaborate with data engineers and product teams to integrate ML models into production systems.
• Implement data preprocessing, feature engineering, and model evaluation pipelines.
• Deploy and scale ML solutions on AWS, Azure, or similar cloud platforms.
• Conduct experiments, benchmark models, and optimize for performance and accuracy.
• Document model design, assumptions, and decisions for future reference.

What You'll Enjoy

• Love solving complex problems with AI and ML technologies.
• Are passionate about NLP, computer vision, and building intelligent systems.
• Enjoy experimenting with cutting-edge algorithms and modern ML tools.
• Thrive in a collaborative, fast-paced environment where innovation is valued.
• Believe in taking ownership and continuously learning to stay ahead in AI/ML trends.

Qualifications

• 57 years of experience in AI/ML engineering or data science roles.
• Strong proficiency in Python and ML/Deep Learning frameworks (TensorFlow, PyTorch, HuggingFace, OpenCV).
• Hands-on experience with NLP, OCR, RAG, and computer vision pipelines.
• Experience with vector databases (e.g., Pinecone, Milvus, Weaviate) for semantic search or embeddings.
• Strong understanding of data preprocessing, model evaluation, and performance optimization.
• Experience deploying and managing ML models on AWS or Azure.
• Knowledge of cloud-native ML tools and services like SageMaker, Lambda, or Azure ML is a plus.
• Strong problem-solving skills, analytical thinking, and ability to work in collaborative environments.

Our Culture

We have an empowered, ownership-driven work culture that encourages creativity, experimentation, and personal growth.

• Flat hierarchy with fast decision-making and startup energy.
• Regular celebrations and a fun, positive work environment.
• Inclusive and diverse workplace where authenticity thrives.

We value potential as much as experience.

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.