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Associate Director – Data Science Job Opening In Bengaluru – Now Hiring Bibha.ai

Associate Director – Data Science

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Job description

Associate Director – Data Science

Company Overview

Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company, is a specialized global business process services partner.

We provide transformational solutions and services across various industries, including Healthcare, Banking and Financial Services, Communications, Media and Technology, and Retail.

With a strong presence in the US, UK, India, Mexico, Australia, South Africa, and the Philippines, we solve our clients' biggest challenges through domain-centered teams and cutting-edge technology, data, and analytics.

Our collaborative culture fosters innovation and ensures future-focused outcomes.

Summary of the Role

As an Associate Director – Data Science at Firstsource, you will play a crucial role in developing and optimizing advanced machine learning algorithms, particularly in the realm of natural language processing.

You will engage in data analysis, model development, and experimentations while collaborating with cross-functional teams to ensure that our solutions meet industry-specific needs and maintain ethical standards.

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 as instruction tuning for domain-specific applications.

    Utilize techniques like RLHF to improve model alignment with human preferences.
  • Algorithm Implementation: Develop and optimize machine learning algorithms to enhance model performance, accuracy, and efficiency.

    Experiment with different architectures 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 by identifying potential biases in data and models and implementing mitigation strategies.

Required Qualifications

Must-Have

  • Strong background in machine learning, deep learning, and NLP.
  • Proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch.
  • Experience with NLP frameworks and libraries (e.g., Hugging Face Transformers).
  • Hands-on experience in fine-tuning large language models (LLMs) for domain-specific tasks.
  • Proficiency in handling large datasets, feature engineering, and statistical analysis.
  • Strong analytical skills for solving complex problems using data-driven approaches.
  • Excellent communication skills for effective collaboration with technical and non-technical stakeholders.

Nice-to-Have

  • Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
  • Familiarity with cloud platforms (e.g., AWS, Azure) for scalable computing solutions.
  • Understanding of ethical considerations in AI development, including bias detection and mitigation.

Compensation and Benefits

We offer a competitive compensation package that reflects your skill set and experience.

Additionally, our benefits and perks include:

  • Flexible working hours.
  • Health and wellness programs.
  • Professional development opportunities.
  • Access to cutting-edge technology and tools.
  • Collaborative and innovative work environment.

Additional Information

  • Minimum of 3-4 years of experience in LLM fine-tuning.
  • 10-14 years of overall experience in machine learning or a related field.
  • Budget for this role is 45 – 48 LPA (CTC).

Required Skill Profession

Computer And Mathematical


  • Job Details

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Bibha.ai adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Associate Director – Data Science Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Associate Director – Data Science typically include Computer And Mathematical and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Associate Director – Data Science Job Success

Bibha.ai interview tips for Associate Director – Data Science

Here are some tips to help you prepare for and ace your Associate Director – Data Science job interview:

Before the Interview:

Research: Learn about the Bibha.ai's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Final Thought:

To prepare for your Associate Director – Data Science interview at Bibha.ai, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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