Principal Consultant

Job Description - Principal Consultant - AI/ML (MER0003GIE)

Group: Mercedes-Benz Group AG

Overview

We are seeking an experienced Technical Lead to join our innovative and dynamic team. The ideal candidate should have 8 to 12 years of industry experience working with large volumes of data, developing and deploying multiple AI models, and possessing a strong understanding of Generative AI and LLM (Large Language Models) techniques. As a Senior Technical Lead, you will be responsible for leading AI projects, driving technical excellence, and providing guidance to the AI development team.

Roles and Responsibilities

1. Lead AI Projects: Take ownership of AI initiatives, from conception to deployment, by collaborating with cross-functional teams and stakeholders, and ensuring successful project delivery.
2. Technical Leadership: Provide technical leadership and guidance to the AI development team, ensuring adherence to best practices, efficient implementation of AI models, and quality code development.
3. Data Analysis: Analyse and understand large volumes of structured and unstructured data, extracting meaningful insights to drive AI model development and decision-making processes.
4. AI Model Development: Develop and deploy AI models that leverage a variety of techniques, including machine learning, deep learning, and Generative AI. Ensure the models are scalable, accurate, and robust.
5. LLM Expertise: Apply your expertise in Large Language Models (LLMs) to enhance the performance and capabilities of AI models, leveraging state-of-the-art techniques and staying up-to-date with the latest advancements in the field.
6. Performance Optimization: Optimize AI models for performance, efficiency, and scalability, leveraging techniques such as model compression, quantization, and parallel processing to improve execution time and resource utilization.
7. Model Evaluation: Design and implement evaluation frameworks to measure the performance and effectiveness of AI models, including metrics for accuracy, precision, recall, and other relevant parameters.
8. Collaboration and Communication: Collaborate with cross-functional teams, including data scientists, engineers, product managers, and business stakeholders, to understand requirements, provide technical insights, and ensure alignment with organizational goals.
9. Industry Trends: Stay abreast of the latest trends, research, and advancements in the AI field, and proactively explore opportunities to leverage emerging technologies and techniques for continuous improvement.
10. Documentation and Reporting: Create and maintain comprehensive documentation, including technical specifications, model architectures, and project reports, to facilitate knowledge sharing and project management processes.

Technical Skills:

- Strong programming skills in languages such as Python, Java, or C++.
- Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience with Generative AI techniques and LLMs, such as GPT (Generative Pre-trained Transformers).
- Familiarity with data preprocessing, feature engineering, and data visualization techniques.
- Knowledge of cloud platforms and technologies for scalable AI model deployment, such as AWS, Azure, or Google Cloud.
- Understanding of software engineering principles and best practices, including version control, testing, and debugging.
- Excellent analytical and problem-solving abilities, with a strong attention to detail and the ability to extract meaningful insights from complex data sets.
- Demonstrated leadership skills, with the ability to lead and inspire a team, collaborate effectively with cross-functional stakeholders, and communicate technical concepts to non-technical audiences.
- A passion for staying up to date with the latest advancements in AI, machine learning, and Generative AI techniques, with a commitment to continuous learning and self-improvement.

Qualifications

- Bachelor's degree in any field
- MSc/ BE/ Masters with specialization in IT/ Computer Science
- Experience in a 'Data Scientist' role and overseeing data-centered projects
- 8-12 years of industry experience working on AI projects, handling large volumes of data, and developing and deploying multiple AI models.

Organization

Organization: Mercedes-Benz Research and Development India Private Limited

Primary Location: India-Karnataka-Bangalore

Work Locations: Mercedes-Benz Research & Development India, Embassy Crest 'Embassy Crest' Plot No 5, EPIP Zone, Phase 1, 560 066

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