Senior Data Scientist

2 weeks ago

Gurgaon, Haryana, India Yoonify Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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
    .

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