Job Title : Data Scientist AI & Machine Learning
Role Overview :
We are seeking a Data Scientist with hands-on AI and ML experience to join our growing tech team. You will design, develop, and deploy AI-driven solutions across finance, audio / video intelligence, natural language processing, and geospatial analytics. This role is ideal for someone passionate about building scalable AI models, deploying real-time AI pipelines, and solving high-impact business problems.
Key Responsibilities :
- Build and maintain AI / ML models for financial risk prediction, repayment behavior, and fraud detection.
- Develop AI solutions for audio / video analytics, including speech-to-text, emotion detection, and automated document / video verification.
- Implement generative AI and LLM pipelines for hybrid AI applications, such as customer support, document summarization, or predictive insights.
- Apply geospatial AI techniques to optimize customer targeting, field operations, and market analysis.
- Deploy and manage AI models using MLOps best practices with Docker, Kubernetes, and CI / CD pipelines.
- Monitor, retrain, and optimize models with performance metrics, observability tools, and automated feedback loops.
- Write robust, maintainable code in Python, Go, and Java to integrate AI solutions into production systems.
Must-Have Skills :
3- 4 years of hands-on experience in AI and ML development, preferably in fintech or related domains.Strong programming skills in Python, Go, and Java for AI / ML pipelines and APIs.Proficiency with ML and AI frameworks : TensorFlow, PyTorch, Scikit-learn, Hugging Face, Whisper, OpenCV.Experience in audio / video analytics, computer vision, NLP, or generative AI.Familiarity with geospatial AI tools like GeoPandas, Shapely, or PostGIS.Hands-on experience with Docker, Kubernetes, CI / CD workflows, and MLOps tools like MLflow, Airflow, or DVC.Solid understanding of SQL and NoSQL databases and real-time data processing.Good-to-Have :
Experience in credit scoring, risk modeling, or collections analytics.Exposure to LangChain, VectorDBs, and LLM-based AI pipelines.Contributions to open-source AI / ML projects or a strong GitHub portfolio.Awareness of AI ethics, compliance, and privacy regulations in financial systems.What We Offer :
Collaborative, high-performance culture where ideas and innovation are valued.(ref : hirist.tech)