Associate Director- Data Science
3 weeks ago
With over 25 years of cumulative recruitment experience, Live Connections has placed over 20,000 professionals across 350+ clients in multiple sectors and functions.
The company has a global presence in 4 countries and is known for its professional, well-trained, and customer-centric team of engineers and MBA's who are relationship-driven and handle clients or candidates with a human quotient.
Position: Director Experience: 16+ Years Budget: 50–55 LPA Mode: Remote Key Responsibilities: Data Analysis and Preprocessing: Analyze and preprocess diverse datasets relevant to themortgage 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 instruction tuning pre-trained LLMs for mortgage-specificapplications.
Utilize techniques like RLHF to improve model alignment with human preferencesand enhance decision-making capabilities.
Algorithm Implementation: Develop and optimize machine learning algorithms to enhancemodel 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 modeldevelopment, ensuring outputs are relevant and actionable.
Experimentation: Conduct experiments to validate model hypotheses, analyze results, anditerate 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.
Proficiencyin Python and experience with ML frameworks such as Tensor Flow or Py Torch.
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 statisticalanalysis.
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 teamsand non-technical stakeholders.
Preferred Qualifications: Educational Background: Master's or Ph.
D.
in Data Science, Computer Science, Statistics, or arelated field.
Cloud Computing: Familiarity with cloud platforms (e.g., AWS, Azure) for scalable computingsolutions.
Ethics Awareness: Understanding of ethical considerations in AI development, including biasdetection and mitigation.
Interested candidate please drop your updated resumes at anjana.v@livecjobs.com OR Contact us at 7386691110
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