AI Engineer / Data Scientist- 2 Years Relevant Experience -Kolkata

Job Summary:

AI Engineer / Data Scientist

Key Responsibilities:

• Develop, implement, and optimize AI and Machine Learning models for various business applications.
  
• Perform data collection, preprocessing, cleaning, and feature engineering.
  
• Analyze large datasets to extract meaningful patterns and insights.
  
• Train, validate, and test predictive models to ensure accuracy and performance.
  
• Deploy models using tools like Flask, Streamlit, Docker, or other relevant frameworks.
  
• Collaborate with data scientists, engineers, and stakeholders to align models with business goals.
  
• Continuously evaluate model performance and implement improvements.
  
• Document code, workflows, and AI pipelines for reproducibility.
  
• Keep up-to-date with the latest advancements in AI, Data Science, and ML frameworks.
  

Required Skills and Qualifications:

• Bachelors or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  
• Minimum 2 years of

  hands-on experience

  in AI / Data Science projects.
• Proficient in

  Python

  and data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn).
• Strong understanding of

  Machine Learning algorithms

  – Regression, Classification, Clustering, etc.
• Experience in at least one deep learning framework:

  TensorFlow, PyTorch

  , or

  Keras

  .
• Good understanding of statistics, data visualization, and EDA (Exploratory Data Analysis).
  
• Strong skills in

  SQL

  and working with relational databases.
• Experience in model deployment (Flask, Streamlit, Docker – basic to intermediate level).
  
• Excellent communication skills and a problem-solving mindset.
  

Preferred (Nice-to-Have) Skills:

• Experience with

  cloud platforms

  such as AWS, Azure, or GCP.
• Exposure to

  MLOps tools

  , CI/CD pipelines for AI/ML.
• Knowledge of

  NLP, Computer Vision

  , or

  Time Series Forecasting

  .
• Familiarity with

  big data technologies

  (Apache Spark, Hadoop).
• Use of version control tools like

  Git

  in project workflows.

Why Join Us:

• Opportunity to work on

  live AI projects

  with real business impact.
• Strong

  mentorship

  from senior industry experts.
• Continuous

  learning and development

  in AI, Data Science, and MLOps.
• Flexible, collaborative, and innovative work culture.
  
• Competitive compensation and growth opportunities.