Data Scientist

4 weeks ago

Gurugram, India ARTH Full time

Job Title : Data Scientist AI & Machine LearningRole 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)

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