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Data Scientist & ML developer

Data Scientist & ML developer

ConfidentialMumbai, Kolkata
10 days ago
Job description

Key Responsibilities

Data Collection & Analysis

  • Gather and analyze data from diverse source systems (databases, spreadsheets, etc.).
  • Ensure data is clean, accurate, complete, and ready for prediction tasks.
  • Analyze datasets to uncover patterns, correlations, anomalies, and business insights.

Model Development & Deployment

  • Design and develop ML models (supervised, unsupervised, reinforcement learning, etc.) based on business requirements (e.g., customer recommendations).
  • Train, test, and validate models using real-world data.
  • Deploy machine learning models into production environments and monitor their performance.

    • Visualization & Communication

  • Present insights and outcomes using charts, graphs, dashboards (e.g., Matplotlib).
  • Collaborate with customers and local teams to understand problems, define requirements, and communicate results effectively.

    • Technical Execution

  • Design and develop Python programs and FastAPI-based microservices.
  • Work across Linux and Windows platforms for development and deployment.
  • Maintain strong code quality, documentation, and testing procedures.
  • Debug, optimize, and enhance existing ML models and services.

    • Collaboration & Mentoring

  • Act as a mentor and technical guide to team members.
  • Work in tandem with customer-facing teams to ensure solution alignment and success.
  • Follow professional service lifecycle processes including scoping, requirements gathering, development, QA / testing, and deployment.

    • Required Qualifications & Skills

    Education

  • Bachelor's or Master's degree in Computer Science, ECE, EEE, EI, IT, or a related field.

    • Experience

  • 4 to 8 years of software consulting experience in enterprise software solutions, including direct customer interaction.
  • Hands-on experience with machine learning in real use cases, deployed in commercial systems.

    • Technical Skills

  • Proficiency in Python, PostgreSQL, SQL.
  • Expertise in Pandas, NumPy, Scikit-learn, and FastAPI.
  • Experience with data transformation, pattern recognition, and feature engineering.
  • Strong knowledge of machine learning algorithms :
  • Regression, Decision Trees, Random Forests, Bayesian Methods, Neural Networks, etc.
  • Ability to choose appropriate algorithms based on use cases.
  • Knowledge of statistics, probability, and linear algebra for model building.
  • Experience developing on both Linux and Windows platforms.
  • Strong design, implementation, debugging, and troubleshooting skills.

    • Domain Expertise

  • Experience in Telecom Software Domain, especially OSS and Configuration Management (CM).

    • Soft Skills

  • Strong written and verbal communication skills.
  • Ability to work independently and in collaborative, cross-functional teams.
  • Strong mentoring and team leadership capabilities.

    • Skills Required

    Machine Learning, Data Science, Python, Pandas, Numpy

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