AI and Machine Learning Engineer

1 day ago

Rajkot, Gujarat, India beBeeData Full time ₹ 24,00,000 - ₹ 40,00,000
Advanced Analytics Expert

We are seeking an experienced Advanced Analytics Expert to join our Data Science team. As a key member of this team, you will be responsible for developing innovative AI & ML solutions across diverse business domains.

This includes designing, implementing, and optimizing advanced analytics models to address complex business challenges and drive data-driven decision making.

  • Extract actionable insights from large datasets, develop predictive algorithms, and create robust machine learning pipelines.

You will work with large datasets, develop predictive algorithms, and create robust machine learning pipelines.

Our ideal candidate has:

  • A minimum of 5-12 years of demonstrated expertise in applying advanced statistical modeling, machine learning algorithms, and deep learning techniques.
  • Proficiency in programming languages such as Python for data analysis and model development, as well as cloud platforms like Azure, Azure Data Factory, Snowflake, and Databricks.
  • Strong knowledge of SQL and experience working with various database systems and big data technologies.
  • A proven track record of developing and deploying machine learning models in production environments.
  • Strong mathematics background including statistics, probability, linear algebra, and calculus.
  • Excellent communication skills with the ability to translate technical concepts to non-technical stakeholders.
  • Knowledge of ethical considerations in AI development including bias detection and mitigation techniques.
Key Responsibilities:
  • Analyze complex datasets to extract meaningful insights and patterns using statistical methods and machine learning techniques.
  • Design, develop, and implement advanced machine learning models and algorithms to solve business problems and drive data-driven decision making.
  • Perform feature engineering, model selection, and hyperparameter tuning to optimize model performance and accuracy.
  • Create and maintain data processing pipelines for efficient data collection, cleaning, transformation, and integration.
  • Evaluate model performance using appropriate metrics and validation techniques to ensure reliability and robustness.
  • Implement A/B testing and experimental design methodologies to validate hypotheses and measure the impact of implemented solutions.
  • Develop proof-of-concept applications to demonstrate the value and feasibility of data science solutions.
  • Stay current with the latest advancements in machine learning, deep learning, and statistical methods through continuous learning and research.
Requirements:

Interested candidates should have a strong educational background in science or engineering disciplines (Computer Science, Engineering, Math's, Physics, etc.) or a related field.

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