SENIOR AI ENGINEER

I. OVERALL DESCRIPTION

As a Senior AI Engineer, you’ll play a critical role in designing, building, and maintaining the backend infrastructure for our Martech platform. Your expertise in Python or Node.js, and backend development will be vital in driving our platform’s architecture, data flow, and‬ performance. You will collaborate closely with frontend developers and product teams to deliver‬ features that power intelligent, data-driven marketing solutions.‬

II. KEY RESPONSIBILITIES:

1. Data Management:

• Collect, preprocess, and curate large datasets for training and evaluation of NLP, LLM models.
• Implement data augmentation and enhancement techniques to improve model robustness.

2. Model Deployment:

• Deploy and maintain NLP, LLM models in production environments, ensuring high availability and performance.
• Develop APIs and services to make NLP, LLM capabilities accessible to other teams and applications.

3. Collaboration:

• Work closely with data scientists, software engineers, and domain experts to understand requirements and deliver tailored NLP solutions.
• Provide technical guidance and mentorship to junior team members.

4. Performance Monitoring:

• Implement monitoring and logging for deployed models to ensure performance, reliability, and scalability.
• Conduct regular evaluations and fine-tuning of models based on feedback and new data.

5. Documentation and Reporting:

• Document methodologies, experiments, and results comprehensively.
• Communicate findings and progress to stakeholders through reports and presentations.

6. Continuous Improvement:

• Stay updated with the latest advancements in NLP, LLM, and AI research.
• Contribute to the continuous improvement of the team’s processes, tools, and methodologies

III. REQUIREMENTS:

• Education: Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Minimum of 3-5 years of experience in developing and deploying NLP, LLM models.
• Proven experience with large language models (e.g., GPT, BERT, llama, Mistral ..) and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong programming skills in Python and familiarity with NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
• Expertise in machine learning algorithms, neural networks, and statistical modeling.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) 
• Strong problem-solving skills and the ability to work independently and collaboratively.

IV. PROCESS INTERVIEW:

• Round 1: HRTA
• Round 2: Hiring Manager
• Final Round: Offer

V. CONTACT:

• Email: [email protected]
• Website: https://platinumtalent.info/
• Linkedin: linkedin.com/company/platinumtalent/