Data Scientist (ML OPS)

Job title:

Data Scientist (ML OPS)

Company:

Randstad

Job description

IT, telekommunikáció, Kutatás, fejlesztésgépi tanulás szakértő, Python developerWe are looking for a skilled Data Scientist specializing in Generative AI to join our Client’s innovative team and develop cutting-edge generative AI models on the Google Cloud Platform (GCP). If you are passionate about generative AI, natural language processing, and leveraging cloud technologies to solve complex challenges, we would love to hear from you.Position Overview: As a Data Scientist for Generative AI, you will be at the core of their AI innovation efforts, focusing on the design, implementation, and optimization of generative AI solutions that address specific business needs. Your expertise in large language models, prompt engineering, and model evaluation will drive the creation of transformative applications that enhance our capabilities and set new benchmarks in the aviation industry.Key Responsibilities:

• Develop and deploy generative AI models using large language models (e.g., GPT-4, BERT) for applications including chatbot and agent development.
• Craft prompts and fine-tune pre-trained models to align with specific business requirements.
• Manage and optimize AI solutions on GCP, leveraging services such as Vertex AI.
• Collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders.
• Stay updated with the latest advancements in generative AI and machine learning technologies.

Technical Skills:

• Generative Models and NLP: Deep expertise in large language models (LLMs) like GPT-4 and BERT, with a proven track record in developing and deploying chatbots and intelligent agents.
• Prompt Engineering and Fine-Tuning: Mastery of crafting effective prompts and fine-tuning pre-trained models to achieve optimal performance for specific business objectives.
• Generative AI Model Evaluation: Proficiency in assessing generative AI model quality using a variety of metrics and techniques, including human-in-the-loop evaluation.
• GCP AI Platform: In-depth knowledge of Google Cloud Platform’s AI tools and services, including Vertex AI, Natural Language API, and BigQuery for data processing and model deployment.
• MLOps: Strong foundation in MLOps practices, with experience in CI/CD pipelines, model deployment, monitoring, and version control for generative AI models.

Qualifications: * Advanced degree (Master’s or PhD) in Computer Science, Statistics, or a related quantitative field.

• Proven experience in developing and deploying generative AI solutions in a production environment.
• Strong programming skills in Python and proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch).
• Excellent problem-solving and analytical abilities, with a passion for exploring new AI frontiers.
• Preferred Certifications: Google Certified Professional Machine Learning Engineer, or equivalent certifications.
• Non-Technical Skills:

Communication: * Ability to clearly articulate technical concepts to non-technical stakeholders.

• Strong written and verbal communication skills.

Collaboration: * Proven ability to work effectively within cross-functional teams. Willingness to share knowledge and mentor team members.

• Problem-Solving: Strong problem-solving skills to address complex technical issues.

Adaptability: * Flexibility to adapt to new challenges and changing business needs.

• Openness to learning new technologies and methodologies.

• A challenging role at an unique Dutch company
• Competitive package
• Opportunities for personal development through training and education and wonderful career opportunities
• A comprehensive package of fringe benefits including large discounts on airline tickets (if you have been in service for at least 6 months)

Expected salary

Location

Budapest

Job date

Wed, 01 Jan 2025 08:47:06 GMT

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