Associate Director- Data Science

4 weeks ago

Bengaluru, Karnataka, India Live Connections Full time

Job description

Company Description

Live Connections is a search and recruitment organization that specializes in finding and placing professionals across all sectors. 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 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 instruction tuning 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, 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 teamsand 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.

Interested candidate please drop your updated resumes at OR Contact us at

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