Role: Data Scientist Experience: Minimum 5 years Open Positions: 3 Key Skills: Python, SQL, Machine Learning (e.g., scikit-learn, XGBoost) Data Analysis, Statistical Modeling, Data Visualization Data Pipeline Tools (e.g., Azure Data Factory, Synapse, Databricks) BI Tools (e.g., Power BI, Tableau) or Python libraries (e.g., Plotly, Matplotlib, Seaborn) Responsibilities: Build and deploy machine learning models (e.g., classification, regression, clustering, forecasting) using frameworks like scikit-learn and cloud-based ML services to address business needs. Analyze structured and unstructured data using Python, SQL, and relevant analytics tools to uncover trends and generate actionable insights. Design, implement, and automate data pipelines using tools like Azure Data Factory, Synapse, Databricks, or similar for preprocessing, feature engineering, and model deployment. Create interactive dashboards and reports using BI tools or Python visualization libraries to present data and insights to stakeholders effectively. Collaborate with cross-functional teams to define analytical objectives, translate business problems into data science solutions, and communicate results clearly. Evaluate and validate model performance using techniques such as cross-validation, A/B testing, and drift detection. Integrate models into production systems and applications via APIs or decision support tools, ensuring scalability and maintainability. Follow data governance, security, and privacy standards including access control, encryption, and responsible AI compliance. Maintain detailed documentation of data pipelines, models, assumptions, and analytical workflows for transparency and reproducibility. Stay informed on advancements in machine learning and data engineering tools to incorporate best practices and foster innovation.
Job Title: Python Developer Generative AI Agent Tools Location: Remote | Type: Full-time Were looking for a skilled Python Developer to join our team focused on building Generative AI agentic systems . The ideal candidate has solid Python programming experience and a strong desire to learn cutting-edge AI tools and frameworks. Responsibilities: Build and maintain Python-based applications and APIs (FastAPI preferred). Work on Generative AI agent tools using Python frameworks. Collaborate on integrating LLMs and AI services (OpenAI, Azure AI Foundry). Learn and adapt quickly to new technologies such as Llama Index or FastMCP. Requirements: Strong proficiency in Python . Experience with backend/API development (FastAPI, Flask, or Django). Familiarity with cloud environments (Azure preferred). Quick learner with interest in Generative AI and agentic programming . Nice to Have: Exposure to Llama Index , FastAPI , FastMCP , OpenAI SDK , or Azure AI Foundry . Role & responsibilities