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AI Machine Learning Model Developer

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Bengaluru, Karnataka, India beBeeMachineLearning Full time US$ 1,20,000 - US$ 2,00,000
Job Title: AI Model Development Specialist
Join us in shaping the future of data-driven innovation. We are seeking a highly skilled AI Model Development Specialist to drive cutting-edge machine learning solutions and contribute to the growth of our team.
As an Applied AI ML Senior Associate within our organization, you will solve complex business problems and develop, test, and evaluate AI/ML applications or models. Using Python/Spark via AWS, you will derive business insights and present them to non-technical audiences, contributing to stronger business programs and improved efficiency.

Responsibilities:
- Develop a deep understanding of key business processes and identify areas for improvement.
- Execute tasks throughout a model development process, including data wrangling/analysis, model training, testing, and selection.
- Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation.
- Conduct thorough evaluations of generative models (e.g., GPT-4), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications.
- Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
- Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.
- Generate structured and meaningful insights from data analysis and modeling exercises and present them in an appropriate format according to the audience.
- Collaborate with other data scientists and machine learning engineers to deploy machine learning solutions.
- Carry out ad-hoc and periodic analysis as required by the business stakeholder, model risk function, and other groups.

Requirements:
- Formal training or certification in applied AI/ML concepts and 5+ years applied experience
- Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
- Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.
- Experience in building AI/ML models on structured and unstructured data along with model explainability and model monitoring.
- Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs.
- Experience with a broad range of analytical toolkits, such as SQL, Spark, Scikit-Learn, and XGBoost.
- Experience with graph analytics and neural networks (PyTorch).
- Excellent problem-solving, communication (verbal and written), and teamwork skills.

Preferred Qualifications:
- Expertise in building AI/ML models on structured and unstructured data along with model explainability and model monitoring.
- Familiarity with the financial services industry.