AI Engineer
Noida
Bolster Inc.
Bolster AI Security platform protects against phishing and scam activity with domain monitoring & takedowns, social media and app store protectionResponsibilities:
- Research, design, and implement advanced AI/ML models for real-world applications.
- Develop deep learning and ML algorithms for NLP, computer vision, and predictive analytics.
- Collaborate with cross-functional teams to integrate AI solutions into products.
- Optimize/ fine-tune models for performance, efficiency, and scalability.
- Stay current with AI advancements and contribute to publications, patents, or open-source projects.
- Work with large datasets, build data pipelines, and ensure data quality.
- Deploy AI models on cloud platforms (AWS, Azure) and build AIOps pipelines.
- Leverage AI platforms like Hugging Face/GitHub to download and fine-tune pretrained models.
- OptimizeLLM interactions through advanced Prompt Engineering techniques.
- Leverage Retrieval-Augmented Generation (RAG) techniques for enhanced AI response generation.
Preferred Qualifications:
- Publications in top AI/ML conferences (NeurIPS, CVPR, ICML, ACL, etc.).
- Hands-on experience with big data frameworks (Hadoop, Spark) and databases (SQL, NoSQL).
- Experience working with AI ethics, bias mitigation, and explainability.
Requirements:
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
- Two or more years of experience in applying AI to practical and comprehensive technology solutions.
- Experience with AI, Deep learning, Natural Language Processing, and Computer Vision.
- Worked with agentic frameworks like (not limited to) Langgraph, LlamaIndex, Smolagents / others.
- Experience in REST API development and NoSQL database.
- Experience with unstructured data.
- Strong expertise in deep learning frameworks (TensorFlow, PyTorch) and ML libraries (Scikit-learn, XGBoost).
- Proficiency in programming languages like Python, C++, or Java.
- Experience with cloud services, MLOps, and model deployment.
- Knowledge of reinforcement learning, generative AI, or large language models (LLMs) is a plus.
- Strong problem-solving skills and a research-oriented mindset.
We are the leader in Anti-Phishing AI! Bolster creates a Next-Generation Fraud Prevention SaaS platform & CheckPhish community platform based on pioneering work in Artificial Intelligence-based phishing and scam detection systems. Bolster protects the world’s top brands like Zoom, Dropbox, Uber, LinkedIn, Roblox, and other Fortune 500 customers. We are funded by top-tier investors led by Thomvest Ventures and Crosslink Capital. Our team has over 100 years of combined cybersecurity experience at Cisco, Symantec, McAfee, Bell Labs, Open DNS, and Lacework. Our AI/ML technology protects regular citizens from bad actors on the internet, using industry-leading deep learning, computer vision, natural language processing, and machine learning models for highly accurate real-time detection & automated takedown of fraudulent sites at the internet scale. We also brought our technology to the community with CheckPhish, https://checkphish.ai. It is a free tool that protects millions of consumers from daily phishing, fraud, and fake sites. Charities, non-profits, social benefit corps, and schools are targets too. To aid the world, we will give our technology & services for free or at cost to any approved charity, non-profit, or social benefit corporation. Our work is challenging but fun. We're all about shipping elegant, high-leverage products. Bolster cares deeply about collaboration, feedback, and iteration. Trust and respect are deeply rooted in our unique culture. Our inspiring proven leaders are hiring great people, providing super benefits, and impacting the world!
**PLEASE NOTE THAT THIS ROLE REQUIRES IN OFFICE COLLABORATION/ATTENDANCE 3X A WEEK ****
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AIOps API Development APIs AWS Azure Big Data Computer Science Computer Vision Data pipelines Data quality Deep Learning Engineering Generative AI GitHub Hadoop ICML Java LLMs Machine Learning ML models MLOps Model deployment NeurIPS NLP NoSQL Open Source Pipelines Prompt engineering Python PyTorch RAG Reinforcement Learning Research REST API Scikit-learn Security Spark SQL TensorFlow Unstructured data XGBoost
Perks/benefits: Career development Conferences
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