Machine Learning Engineer

1 week ago

Alleppey, Kerala, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Advanced Data Scientist Role

Job Description:

Develop and deploy cutting-edge machine learning models to drive business decision-making, and support AI-driven product development. Utilize data science principles to design 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 the latest AI/ML techniques (e.g., LLMs, transformers, reinforcement learning) and propose innovative applications.

Required Skills & Qualifications:
  • Bachelor's or Master's 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) is a plus Exposure to NLP, computer vision, or generative AI (OpenAI, Hugging Face, LangChain) is highly desirable
  • Strong analytical and communication skills
  • Nice to Have Experience in industry-specific AI applications (e.g., fintech, healthcare, retail) Contribution to open-source projects or ML competitions (e.g., Kaggle) Certifications in Data Science / AI from recognized platforms
What We Offer:
  • 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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