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13 Weeks ago

Senior AI Engineer

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Pune, Maharashtra, India
Information Technology
Full-Time
Quest Global

Overview

Job Requirements

Job Description:

We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data science, machine learning, and statistical analysis, with a proven track record of solving complex problems and delivering actionable insights.

Key Responsibilities:

  • Lead and manage data science projects from conception to deployment.
  • Develop and implement advanced machine learning models and algorithms.
  • Analyze large datasets to extract meaningful patterns and insights.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Communicate findings and recommendations to stakeholders through reports, presentations, and visualizations.

Qualifications:

  • Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
  • 5+ years of experience in data science or a related role.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills.
  • Ability to work independently and as part of a team.

Technical Skills Required:

  • Advanced knowledge of statistical methods and data analysis techniques.
  • Experience with big data technologies (e.g., Hadoop, Spark).
  • Proficiency in data manipulation and analysis using libraries such as pandas, NumPy, and SciPy.
  • Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Familiarity with data visualization tools (e.g., Tableau, Power BI).
  • Experience with version control systems (e.g., Git).
  • Understanding of database management systems (e.g., MySQL, PostgreSQL, MongoDB).
  • Knowledge of natural language processing (NLP) techniques and tools.
  • Experience with deep learning frameworks (e.g., Keras, Caffe).
  • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Luigi).
  • Proficiency in using distributed computing tools (e.g., Dask, Apache Flink).
  • Knowledge of reinforcement learning techniques.
  • Experience with time series analysis and forecasting.
  • Familiarity with geospatial analysis tools (e.g., GeoPandas, QGIS).

Modules and Skills Needed:

  • Data Preprocessing: Data cleaning, normalization, and transformation using pandas and NumPy.
  • Exploratory Data Analysis (EDA): Visualization and statistical analysis using matplotlib, seaborn, and plotly.
  • Machine Learning: Supervised and unsupervised learning, model evaluation, and hyperparameter tuning using scikit-learn.
  • Deep Learning: Neural networks, CNNs, RNNs, and transfer learning using TensorFlow and Keras.
  • Natural Language Processing (NLP): Text preprocessing, sentiment analysis, and topic modeling using NLTK, spaCy, and Gensim.
  • Big Data Processing: Distributed data processing using Hadoop, Spark, and Hive.
  • Cloud Computing: Deployment and management of machine learning models on, Azure.
  • Database Management: SQL and NoSQL databases, data warehousing, and ETL processes.
  • Version Control: Code management and collaboration using Git and GitHub.
  • Data Visualization: Creating interactive dashboards and visualizations using Tableau, Power BI.
  • Reinforcement Learning: Implementing RL algorithms and applications using OpenAI Gym and TensorFlow.
  • Time Series Analysis: Forecasting and anomaly detection using statsmodels and Prophet.
  • Geospatial Analysis: Spatial data analysis and mapping using GeoPandas and QGIS.

Preferred Qualifications:

  • Experience with big data technologies (e.g., Hadoop, Spark).
  • Knowledge of cloud platforms (e.g., Azure).
  • Familiarity with data visualization tools (e.g., Tableau, Power BI).

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