▷ [Quedan 3 Días] Principal Consultant - Ai/Ml
hace 2 semanas
Job Description - Principal Consultant - AI/ML (MER0003GIE)
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:
1. Strong programming skills in languages such as Python, Java, or C++.
2. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
3. Experience with Generative AI techniques and LLMs, such as GPT (Generative Pre-trained Transformers).
4. Familiarity with data preprocessing, feature engineering, and data visualization techniques.
5. Knowledge of cloud platforms and technologies for scalable AI model deployment, such as AWS, Azure, or Google Cloud.
6. Understanding of software engineering principles and best practices, including version control, testing, and debugging.
7. Excellent analytical and problem-solving abilities, with a strong attention to detail and the ability to extract meaningful insights from complex data sets.
8. 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.
9. 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
1. Bachelor's degree in any field
2. MSc/ BE/ Masters with specialization in IT/ Computer Science
3. Experience in a 'Data Scientist' role and overseeing data-centered projects
4. 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
Work Locations: Mercedes-Benz Research & Development India, Embassy Crest 'Embassy Crest' Plot No 5, EPIP Zone, Phase 1, 560 066
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