Data Scientist + ML Engineer

5 - 10 years

0 - 1 Lacs

Posted:1 day ago| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Roles & Responsibilities:

  • Collect, preprocess, and analyze large structured and unstructured datasets.
  • Develop, train, and optimize machine learning and deep learning models.
  • Build predictive models for classification, regression, recommendation, and NLP/vision tasks.
  • Design and implement scalable ML pipelines and deploy them into production environments.
  • Conduct feature engineering, model selection, hyperparameter tuning, and validation.
  • Monitor model performance, detect drift, and improve accuracy over time.
  • Collaborate with product, engineering, and business teams to translate business problems into data-driven solutions.
  • Document methodologies, maintain reproducibility, and ensure ethical AI practices.
  • Work with big data tools (Spark, Hadoop) and cloud ML services (AWS Sagemaker, GCP AI, Azure ML).
  • Stay updated with advancements in AI/ML and contribute to innovation initiatives.

Requirements:

  • Bachelors/Master’s/PhD in Computer Science, Data Science, Statistics, or related field.
  • 5+ years of proven experience in Data Science & Machine Learning.
  • Strong coding skills in Python (pandas, numpy, scikit-learn, TensorFlow, PyTorch).
  • Solid understanding of statistical modeling, probability, and linear algebra.
  • Hands-on with data visualization tools (Tableau, Power BI, matplotlib, seaborn).
  • Experience in deploying ML models in production (Docker, Kubernetes, APIs).
  • Knowledge of MLOps best practices and cloud AI platforms.
  • Strong analytical mindset, critical thinking, and communication skills.

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