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Data Scientist - Artificial Intelligence/Machine Learning
Data Scientist - Artificial Intelligence/Machine LearningARTH • Gurugram
Data Scientist - Artificial Intelligence / Machine Learning

Data Scientist - Artificial Intelligence / Machine Learning

ARTH • Gurugram
30+ days ago
Job description

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)

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