Senior AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nacre Capital

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Nacre Capital is a global venture builder that creates, builds, and grows start-ups focused on deep technologies that have a significant societal impact. The company identifies fundamental needs and develops innovative solutions in various sectors, including healthcare, biotechnology, agriculture, and aquaculture. They provide comprehensive support to start-ups, including financial, legal, and recruitment services, and actively help scale their ventures globally. Nacre Capital notably works with companies like FDNA, which assists in identifying rare diseases, and Seed-X, which advances AI-based solutions for seed and grain supply chains.

📋 Description

• Design, adapt, and implement machine learning and classical algorithms from proof of concept (POC) to working prototypes. • Plan and conduct experiments to address critical business questions. • Develop and maintain model testing and statistical verification processes. • Implement data processing and training pipelines. • Extend existing machine learning and deep learning codebases and frameworks. • Thoroughly document POCs and experiments. • Plan and lead long-term research activities. • Assist in recruiting talent in the field. • Stay up-to-date with the latest developments in AI and machine learning. • Collaborate on real-world artificial intelligence solutions for aquaculture, using imaging technology to detect, identify, and predict traits of aquatic species.

🎯 Requirements

• Proven track record in developing image/video processing and computer vision solutions. • 8+ years of experience as a machine learning engineer/researcher or in a similar role. • Proficiency with common Python machine learning frameworks (scikit-learn, SciPy, Matplotlib, PyTorch, etc.). • Strong understanding of data structures, data modeling, and software architecture. • Ability to write clean, robust, and efficient code. • Excellent communication and presentation skills in English. • MSc or PhD in Computer Science, Engineering, Mathematics, or a related field. • Candidates with a BSc degree and equivalent industrial experience are also encouraged to apply. • Preferred: publication record in top-tier AI conferences or journals. • Preferred: experience deploying machine learning/AI systems in production environments and tools. • Preferred: familiarity with CUDA, ONNX, and TensorRT inference optimization techniques. • Preferred: familiarity with Docker, Docker Compose, and Kubernetes. • Preferred: knowledge of SQL, MongoDB, basic networking, or message-passing protocols. • Preferred: experience with Google Cloud Platform, AWS, or Azure. • Preferred: proficiency with DVC, MLflow, Metaflow, or Databricks. • Preferred: familiarity with Jenkins, GitLab CI/CD, Screwdriver, Spinnaker, or similar CI/CD tools. • Preferred: ability to visit Aquaculture sites when needed.