Role Overview :
We are seeking an experienced and innovative Data Scientist Development AI to build and deploy advanced models and AI-driven solutions for real-world business problems.
You will collaborate with engineers, product managers, and stakeholders to develop scalable machine learning solutions and data pipelines that power key features in enterprise-grade applications.
This role blends hands-on development, AI / ML model building, and data strategyideal for someone who thrives in a fast-paced, high-ownership environment.
Key Responsibilities :
- Analyze large volumes of structured and unstructured data to extract meaningful insights
- Design and build scalable machine learning models (supervised and unsupervised)
- Apply deep statistical analysis to drive decision-making and customer personalization
- Collaborate with product and engineering teams to integrate models into production systems
- Develop data pipelines, automate model training, and monitor performance
- Visualize complex results using dashboards and data storytelling tools
- Work closely with stakeholders to identify key data opportunities and build prototypes
- Drive end-to-end model lifecycle management from ideation to deployment
- Stay up-to-date with latest trends in AI, ML, big data, and cloud technologies
Technical Skills & Expertise :
Core Skills :
Strong hands-on experience with Python and / or R for statistical computing and MLProficiency with SQL for querying large datasetsExperience in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learnAdvanced knowledge in data visualization tools such as Tableau, Power BI, or Plotly(ref : hirist.tech)