Job Title

Role -Data Scientist Experience -13+ years Work Location -Remote Notice Period - I mmediate JoinersMandatory Skills - Any LLM, Fine Tuning, ML Ops, CloudKey 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 as well instructiontuning pre-trained LLMs for mortgage-specific applications.Utilize techniques like 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. Experiment with different architectures and open-source models to identify the best fit for project requirements. 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, and 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.Applicants can connect with Abhishek for more details Email - abhishek.m@ WhatsApp - 9154908075