AI Model Developer

3 hours ago

Agra, Uttar Pradesh, India beBeeDataScientist Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

Job Overview:

We are seeking a highly skilled and results-driven Data Scientist / AI Specialist to join our data and AI team. The ideal candidate will be responsible for developing and deploying advanced machine learning and AI models to solve business problems, drive data-based decision-making, and support AI-driven product development.

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Key Responsibilities:

  • Develop and optimize supervised, unsupervised, and deep learning models for various business problems.
  • Clean, transform, and analyze structured and unstructured data; identify significant features.
  • Develop end-to-end AI pipelines and integrate models into production systems using APIs or deployment frameworks.
  • Work closely with product managers, domain experts, and engineers to understand requirements and translate them into data science solutions.
  • Track model performance (e.g., RMSE, F1 score, ROC AUC), and prepare technical documentation and reports.
  • Stay up to date with latest AI/ML techniques (e.g., LLMs, transformers, reinforcement learning) and propose innovative applications.

Required Skills & Qualifications:

  • Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Data Science, or related field
  • 4-6 years of hands-on experience in Python, R, SQL, Machine Learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM), Deep Learning (e.g., TensorFlow, PyTorch, Keras), Data manipulation and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn)
  • Model deployment tools (e.g., Flask, FastAPI, Docker, MLflow) Experience with cloud platforms (AWS/GCP/Azure) and MLOps tools Familiarity with large-scale data processing (e.g., Spark, Dask)
  • Exposure to NLP, computer vision, or generative AI is highly desirable
  • Strong analytical and communication skills
  • Nice to Have: Experience in industry-specific AI applications, Contribution to open-source projects or ML competitions, Certifications in Data Science / AI from recognized platforms

Benefits:

A dynamic and collaborative work environment Opportunities to work on cutting-edge AI/ML projects Flexible work arrangements Competitive compensation and performance bonuses Continuous learning support through training and certifications

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