Manager Data Scientist - Bharatpur - Firstsource

    Firstsource
    Firstsource Bharatpur

    3 days ago

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    Description

    Job Summary:

    We are seeking a skilled Machine Learning Engineer to join our team at Firstsource. The ideal candidate will have a strong background in machine learning, deep learning, and NLP, with proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch.

    Main Responsibilities:

    - Data Analysis and Preprocessing: Analyze and preprocess diverse datasets relevant to the mortgage industry, ensuring data quality and relevance for model training.

    - Model Development and Fine-Tuning: Research and implement state-of-the-art NLP models, focusing on pre-training and instruction tuning pre-trained LLMs for mortgage-specific applications. Utilize techniques like Reinforcement Learning from Human Feedback (RLHF) to improve model alignment with human preferences and enhance decision-making capabilities.

    - Algorithm Implementation: Develop and optimize machine learning algorithms to enhance model performance, accuracy, and efficiency.

    - Collaboration: Work with domain experts to incorporate industry knowledge into model development, ensuring outputs are relevant and actionable.

    - Experimentation: Conduct experiments to validate model hypotheses, analyze results, and iterate on model improvements.

    - Documentation: Maintain comprehensive documentation of methodologies, experiments, and results to support transparency and reproducibility.

    - Ethics and Bias Mitigation: Ensure responsible AI practices are followed by identifying potential biases in data and models, implementing strategies to mitigate them.

    Required Skills:

    - Technical Expertise: Strong background in machine learning, deep learning, and NLP. Proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch.

    - NLP Knowledge: Experience with NLP frameworks and libraries (e.g., Hugging Face Transformers) for developing language models.

    - Data Handling: Proficiency in handling large datasets, feature engineering, and statistical analysis.

    - Problem Solving: Strong analytical skills with the ability to solve complex problems using data-driven approaches.

    - Communication: Excellent communication skills to effectively collaborate with technical teams and non-technical stakeholders.

    Preferred Qualifications:

    - Educational Background: Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.

    - Cloud Computing: Familiarity with cloud platforms (e.g., AWS, Azure) for scalable computing solutions.

    - Ethics Awareness: Understanding of ethical considerations in AI development, including bias detection and mitigation.

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