AI Engineer

7 days ago

Kolkata, India Intime It Services Full time

About the Role

We are seeking a passionate and results-driven AI Engineer / Data Scientist with at least 2 years of relevant experience in developing and deploying machine learning solutions. The role involves working on end-to-end AI/ML project lifecyclesfrom data preparation to model deployment—while solving real-world business challenges across industries.

Roles & Responsibilities

  • Design, develop, and optimize Machine Learning and AI models for business applications.
  • Perform data collection, preprocessing, cleaning, and feature engineering to build high-quality datasets.
  • Conduct EDA (Exploratory Data Analysis) and data visualization to derive meaningful insights.
  • Train, validate, and test ML models to ensure accuracy and robustness.
  • Deploy AI/ML models using frameworks such as Flask, Streamlit, or Docker.
  • Collaborate with cross-functional teams to integrate solutions into business processes.
  • Monitor, evaluate, and enhance model performance over time.
  • Document workflows, pipelines, and code for reproducibility and scalability.
  • Stay updated with emerging trends in AI, ML frameworks, and Data Science tools.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related fields.
  • Minimum 2 years of hands-on experience in AI/ML development and deployment.
  • Proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn).
  • Strong understanding of ML algorithms: Regression, Classification, Clustering, etc.
  • Experience with at least one deep learning framework (TensorFlow, PyTorch, Keras).
  • Solid knowledge of statistics, probability, and data visualization techniques.
  • Experience working with SQL and relational databases.
  • Exposure to model deployment frameworks (Flask, Streamlit, Docker).
  • Excellent problem-solving, analytical, and communication skills.

Preferred Skills (Good to Have)

  • Knowledge of cloud platforms (AWS, Azure, GCP).
  • Exposure to MLOps practices and CI/CD pipelines.
  • Hands-on with NLP, Computer Vision, or Time-Series Forecasting projects.
  • Familiarity with big data tools (Apache Spark, Hadoop).
  • Experience with Git/version control in collaborative workflows.

What We Offer

  • Opportunity to work on live AI projects that deliver tangible business impact.
  • Mentorship and guidance from experienced industry professionals.
  • A culture of continuous learning and upskilling in AI, ML, and Data Science.
  • Flexible and collaborative work environment.
  • Competitive salary and career growth opportunities.

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