Senior Data Scientist / AI Engineer

Job Description: Senior Data Scientist/ AI Engineer

Location: [Remote/Onsite – specify city or flexibility]

Employment Type: Full-time

About the Role

We are looking for a highly motivated Senior Data Scientist / AI Engineer with strong expertise in machine learning, deep learning, and LLMs to build and deploy scalable AI solutions. The ideal candidate thrives in fast-paced environments, has hands-on experience with both research and production-grade ML systems, and can translate complex data into actionable insights that drive measurable business impact.

Key Responsibilities

• Design, develop, and deploy end-to-end ML and AI solutions including predictive modeling, NLP, and computer vision applications.
• Build LLM-powered pipelines for text, creative, and conversational AI use cases.
• Develop scalable data pipelines on cloud platforms (AWS/GCP/Azure) to handle real-time and batch data.
• Apply advanced statistical, algebraic, and machine learning techniques to solve business-critical problems.
• Collaborate cross-functionally with product, engineering, and business teams to deliver AI-driven insights and tools.
• Develop and maintain dashboards and visualization tools for stakeholders using Tableau, Plotly, or Dash.
• Stay ahead of the curve in emerging AI/ML research and bring innovative ideas into production.

Required Qualifications

• Master’s degree in Engineering, Data Science, Computer Science, Statistics, or related field.
• 5+ years of hands-on experience in Data Science / ML Engineering.
• Strong programming skills in Python, R, SQL, with experience in PyTorch/TensorFlow.
• Proven expertise in machine learning (classification, regression, clustering, NLP, deep learning, CNNs).
• Proficiency in statistical modeling, hypothesis testing, and time-series forecasting.
• Experience building and deploying ML models on cloud platforms (AWS, GCP, or Azure).
• Knowledge of data visualization tools (Tableau, Matplotlib, Seaborn, Plotly, ggplot).
• Strong ability to translate data into business insights and operational improvements.

Preferred Qualifications

• Experience working with LLMs and generative AI frameworks.
• Track record of contributing to open-source ML/AI projects.
• Experience applying ML/AI to real-world data challenges such as content analysis, anomaly detection, or predictive modeling.
• Familiarity with MLOps practices, including model deployment, monitoring, and retraining.

Why Join Us

• Work on cutting-edge AI/ML applications in a high-growth, innovative environment.
• Opportunity to build real-world impact solutions across enterprises.
• Collaborative, entrepreneurial, and data-driven culture with end-to-end ownership.