Senior Data Scientist / AI Engineer

Location:

Employment Type:

About the Role

Senior Data Scientist / AI Engineer

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

  .