Data Scientist - Artificial Intelligence

We are seeking a highly skilled and results-driven Data Scientist / AI Specialist to join our data and AI team.

You will be responsible for developing and deploying advanced machine learning and AI models to solve business problems, drive data-based decision-making, and support AI-driven product Responsibilities :

• Model Development : Design, build, and optimize supervised, unsupervised, and deep learning models for various business problems.
• Data Exploration & Feature Engineering : Clean, transform, and analyze structured and unstructured data; identify significant features.
• AI Integration : Develop end-to-end AI pipelines and integrate models into production systems using APIs or deployment frameworks.
• Collaboration : Work closely with product managers, domain experts, and engineers to understand requirements and translate them into data science solutions.
• Evaluation & Reporting : Track model performance.
• Research & Innovation : Stay up to date with latest AI / ML Skills & Qualifications :
• Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Data Science, or related field
• 4- 6 years of hands-on experience in Python, R, SQL
• Machine Learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM)
• Deep Learning (e.g., TensorFlow, PyTorch, Keras)
• Data manipulation and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn)
• Model deployment tools (e.g., Flask, FastAPI, Docker, MLflow)
• Experience with cloud platforms (AWS / GCP / Azure) and MLOps tools
• Familiarity with large-scale data processing (e.g., Spark, Dask) is a plus
• Exposure to NLP, computer vision, or generative AI (OpenAI, Hugging Face, LangChain) is highly desirable.
• Strong analytical and communication to Have :
• Experience in industry-specific AI applications (e.g., fintech, healthcare, retail)
• Contribution to open-source projects or ML competitions (e.g., Kaggle)
• Certifications in Data Science / AI from recognized We Offer :
• A dynamic and collaborative work environment
• Opportunities to work on cutting-edge AI / ML projects
• Flexible work arrangements
• Competitive compensation and performance bonuses
• Continuous learning support through training and certifications.

(ref : hirist.tech)