We’re not just building tech - we’re building smart, scalable solutions that make a real impact. We’re on the lookout for a curious and driven AI/ML Engineer - Senior who’s excited about pushing the boundaries of what AI and machine learning can do. If you love working on real-world challenges, experimenting with the latest in generative AI, and mentoring a talented team, this role is for you.

Join us to be part of a collaborative environment where your ideas are valued, your code powers innovation, and your work directly contributes to meaningful products.

Requirements
- 3-5 years of relevant experience as a Data Scientist
- Design and implement machine learning systems for business use cases
- Conduct applied machine learning research
- Read and implement research papers, especially in generative AI
- Mentor junior and mid-level data scientists
- Write production-grade code using object-oriented programming principles in Python
- In-depth understanding of statistics and probability
- Advanced proficiency in Python and object-oriented programming




- Strong grasp of data structures and algorithms
- Expertise in machine learning and deep learning libraries such as Scikit-learn, Keras, TensorFlow, and PyTorch
- Deep understanding of supervised and unsupervised ML algorithms like Logistic/Linear Regression, Gradient Descent, Decision Trees, and SVM
- Knowledge of building LLM applications using frameworks like LangChain and LlamaIndex is a plus
- Experience with Transformer architectures and large language models is a plus

Benefits
- Comprehensive insurance coverage that gives you peace of mind, so you can focus on doing your best work
- Versatile work arrangements designed to support sustained productivity, personal well-being, and work-life balance
- Continuous learning and accelerated skill development through hands-on projects and mentorship from experienced industry leaders
- Global client exposure across 20+ countries, offering real-world experience with diverse

📌 AI/ML Engineer (New Delhi)
🏢 spark eighteen
📍 New Delhi