Birbal AI

About the Company

Own SmarterOwn BetterOwn What Matters At Birbal AI, we are committed to redefining ownership through cutting-edge artificial intelligence solutions that empower individuals and businesses. Our mission is to revolutionize how ownership is perceived and experienced in the digital age, providing smarter, data-driven solutions that allow our clients to own what matters most to them more efficiently and intelligently. A revolution in digital money and ownership, Birbal Meme Coin blends stability with creativity to make finance more inclusive, secure, and community-driven. It empowers people with financial freedom, transparent transactions, and equitable access, shaping the future of a borderless digital economy. Founded on the principle that innovation drives progress, Birbal AI leverages advanced AI algorithms, blockchain, machine learning, and data analytics to create transformative ownership models. We believe in a future where AI plays a central role in how people and organizations manage, control, and benefit from ownership across various industries. Stable → Smart → SocialThe Future of Money, Made in India Our solutions are designed to optimize ownership, whether for assets, knowledge, or digital resources. By offering predictive insights and personalized recommendations, we help our users make smarter, more informed decisions. We are constantly evolving, ensuring our clients have access to the most innovative, sustainable, and scalable solutions in the AI space. At Birbal AI, we not only focus on technology but also on creating a collaborative, inclusive workplace culture. By partnering with Birbal AI, you’re not just adopting a service you're embracing a smarter, more empowered way to own and create value in a rapidly changing world. Together, we can make ownership simpler, smarter, and more impactful for everyone. Birbal Meme CoinIndia’s First Digital Stablecoin

Listed Jobs

Company Name

Birbal AI

Job Title

Machine Learning Specialist

Job Description

**Job Title:** Machine Learning Specialist **Role Summary:** Design, implement, and refine machine‑learning models to address complex data problems, collaborating with cross‑functional teams to embed AI solutions into existing systems. **Expactations:** - Deliver high‑quality, production‑ready ML models on schedule. - Validate model performance against defined metrics and continuously improve accuracy. - Communicate findings clearly to technical and non‑technical stakeholders. - Maintain code quality, documentation, and adherence to best practices. **Key Responsibilities:** - Gather, preprocess, and clean datasets for modeling. - Develop predictive, classification, or recommendation models using supervised and unsupervised techniques. - Evaluate algorithms with cross‑validation, confusion matrices, precision‑recall, ROC curves, etc. - Integrate models into deployment pipelines (cloud, containerized, or edge environments). - Collaborate with software engineers, data engineers, and product managers to align ML work with business objectives. - Monitor and retrain models to adapt to new data and changing patterns. - Document model logic, performance results, and deployment steps for reproducibility. - Stay current with emerging ML methods, libraries, and industry trends. **Required Skills:** - Strong foundation in computer science, data structures, and algorithms. - Proficient in ML and deep‑learning frameworks (e.g., scikit‑learn, TensorFlow, PyTorch). - Advanced statistical analysis and feature engineering. - Programming in Python; experience with R or Java is a plus. - Familiarity with data pipelines and version control (Git). - Excellent problem‑solving, analytical thinking, and communication abilities. **Required Education & Certifications:** - Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or related field (preferred). - Relevant certifications (e.g., TensorFlow Developer, AWS Certified Machine Learning) are advantageous. - Prior exposure to blockchain technology or data‑analytics platforms is a plus.

Europese wijk, Belgium

Hybrid

29-12-2025