AI / ML engineer

Company Description

Horizen is a startup at its initial stages that aims to reshaping the wealth-tech landscape with next-generation Robo-advisory solutions.

Our platform empowers retail investors with intelligent, personalised portfolio management, etc.

By combining advanced machine learning, behavioral finance, and automated risk assessment, we deliver smarter investing at scale.

We simplify wealth creation through intuitive tools, transparent strategies, and data-driven insights.

Our mission is to make high-quality financial advice accessible, affordable, and effortless for everyone.

We continuously innovate to enhance decision-making, reduce biases, and democratize financial planning.

With seamless onboarding and real-time portfolio monitoring, we help users stay on track toward long-term goals.

We are redefining the future of retail investing—one intelligent algorithm at a time.

Role Description

This is a full-time on-site role for an AI / ML Engineer, located in Bengaluru. The AI / ML Engineer will be responsible for designing and implementing machine learning models, developing algorithms, and conducting research for pattern recognition. The role includes optimising existing models, analysing large datasets, and collaborating with cross-functional teams to provide solutions based on AI and ML technologies.

Key Responsibilities.

• Design and implement scalable generative AI and machine learning solutions for business problems.
• Develop, train and fine tune ML and deep learning models (regression, classification, NLP etc.)
• Build scalable data pipelines for cleaning, preprocessing and transformation models.
• Collaborate with data engineers and software developers to integrate AI models into productions systems through API’s, vector databases and orchestration frameworks (eg.Langchain, Llama Index
• Mange ML lifecycle
• Ensure model scalability and reliability.
• Collaborate cross-functionally with product, data, and infrastructure teams to define technical requirements and deliver high-impact solutions.
• Experiment with and evaluate generative AI techniques such as retrieval – augmented generation (RAG), reinforcement learning from human feedback (RLHF), model distillation.

Minimum qualifications required

Preferred Qualifications