AIML Developer

undefined ago • 3 Years + • Research Development

Job Summary

Job Description

The AIML Developer will be responsible for writing scalable and efficient Python code, utilizing machine learning libraries like scikit-learn and pandas. Key duties include testing, debugging, data processing, and developing ML models aligned with business goals. The role requires proficiency in deep learning frameworks such as TensorFlow or Keras, applying advanced neural network architectures like BERT, and streamlining processes using MLOps. The developer will also integrate OpenAI technologies, implement prompt engineering, convert AI/ML models into APIs, and perform statistical analysis for model optimization. Continuous training and documentation of ML processes are essential.
Must have:
  • Write scalable and efficient code using the Python programming language.
  • Demonstrate proficiency in Python and utilize essential libraries for machine learning, such as scikit-learn and pandas.
  • Conduct thorough testing and debugging of applications to ensure optimal performance.
  • Collaborate with cross-functional teams to gather and define application requirements.
  • Process, cleanse, and validate the integrity of data to be utilized for analysis.
  • Understand business objectives and develop machine learning models that align with these goals, including metrics to track their progress.
  • Analyze various machine learning algorithms to identify the most suitable solutions for specific problems, ranking them by their likelihood of success.
  • Demonstrate proficiency with deep learning frameworks such as TensorFlow or Keras.
  • Apply advanced neural network architectures, including BERT models, to enhance model performance.
  • Streamline processes using MLOps practices to improve deployment and monitoring of machine learning models.
  • Utilize OpenAI technologies to enhance model capabilities and integrate cutting-edge AI solutions.
  • Implement prompt engineering techniques to optimize interactions with AI models, ensuring accurate and contextually relevant outputs.
  • Convert AI/ML models into APIs for seamless integration and use by other developers.
  • Perform statistical analysis and fine-tuning based on test results to optimize model performance.
  • Train and retrain machine learning systems as necessary to adapt to new data and requirements.
  • Extend existing machine learning libraries and frameworks to meet project needs.
  • Design and implement machine learning systems and self-running artificial intelligence (AI) software to automate predictive modeling processes.
  • Document machine learning processes, methodologies, and results to ensure transparency and reproducibility.

Job Details

Job Title: AIML Developer

Job Description / Requirement

Experience: 3 years of relevant experience

Duties and Responsibilities:

  • Write scalable and efficient code using the Python programming language.
  • Demonstrate proficiency in Python and utilize essential libraries for machine learning, such as scikit-learn and pandas.
  • Conduct thorough testing and debugging of applications to ensure optimal performance.
  • Collaborate with cross-functional teams to gather and define application requirements.
  • Process, cleanse, and validate the integrity of data to be utilized for analysis.
  • Understand business objectives and develop machine learning models that align with these goals, including metrics to track their progress.
  • Analyze various machine learning algorithms to identify the most suitable solutions for specific problems, ranking them by their likelihood of success.
  • Demonstrate proficiency with deep learning frameworks such as TensorFlow or Keras.
  • Apply advanced neural network architectures, including BERT models, to enhance model performance.
  • Streamline processes using MLOps practices to improve deployment and monitoring of machine learning models.
  • Utilize OpenAI technologies to enhance model capabilities and integrate cutting-edge AI solutions.
  • Implement prompt engineering techniques to optimize interactions with AI models, ensuring accurate and contextually relevant outputs.
  • Convert AI/ML models into APIs for seamless integration and use by other developers.
  • Perform statistical analysis and fine-tuning based on test results to optimize model performance.
  • Train and retrain machine learning systems as necessary to adapt to new data and requirements.
  • Extend existing machine learning libraries and frameworks to meet project needs.
  • Design and implement machine learning systems and self-running artificial intelligence (AI) software to automate predictive modeling processes.
  • Document machine learning processes, methodologies, and results to ensure transparency and reproducibility.

Skills Required:

  • Bachelor's degree in Computer Science
  • Min RPA experience – 3+ years
  • Exhibit expertise in at least one popular Python framework (e.g., Django, Flask, or Pyramid) for web application development.
  • Excellent debugging and troubleshooting skills
  • Self-starter with excellent organizational and time management skills
  • Fast learner, quality conscious and committed to deadlines
  • Excellent analytical and effective communication skills

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About The Company

Marsh McLennan (NYSE: MMC) is the world's leading professional services firm in the areas of risk, strategy and people. The Company's 76,000 colleagues advise clients in over 130 countries. With annualized revenue approaching $17 billion, Marsh & McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses. Marsh advises individual and commercial clients of all sizes on insurance broking and innovative risk management solutions. Guy Carpenter develops advancedrisk,reinsurance and capital strategies that help clients grow profitably and pursue emerging opportunities. Mercer delivers advice and technology-driven solutions that help organizations meet the health, wealth and career needs of a changing workforce. Oliver Wyman serves as a critical strategic, economic and brand advisor to private sector and governmental clients.

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