Artificial Intelligence Engineer

3 weeks ago

Mumbai, India Verdantis Full time
Key Responsibilities:

LLM Development and Fine-Tuning: Develop, fine-tune, and optimize large language models to meet specific business needs, including but not limited to GPT, BERT, and other transformer-based models.

Prompt Engineering: Design and optimize prompts to guide LLM outputs effectively, ensuring high-quality and contextually appropriate responses in various applications, including chatbots, virtual assistants, and content generation tools.

Model Deployment and Integration: Work on the deployment of LLMs in production environments, ensuring scalability, reliability, and efficiency. Collaborate with software engineers to integrate models into existing platforms.

Performance Monitoring and Improvement: Continuously monitor the performance of deployed models and iterate on them to improve accuracy, speed, and relevance of outputs.

Data Management: Collaborate with data scientists and data engineers to manage, preprocess, and curate large datasets for training and evaluation of models.

Research and Innovation: Stay updated with the latest advancements in AI, machine learning, and natural language processing. Propose and implement innovative solutions to improve existing systems or develop new AI capabilities.

Collaboration: Work closely with cross-functional teams, including product managers, software developers, and UX/UI designers, to deliver AI-driven features and products.

Documentation and Reporting: Maintain comprehensive documentation of models, algorithms, and system designs. Report progress and findings to stakeholders in a clear and actionable manner.

Technical Expertise:

- Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch).- Strong understanding of NLP techniques and frameworks.- Experience with transformer models (e.g., GPT, BERT) and fine-tuning them for specific tasks.- Hands-on experience with prompt engineering and model optimization.- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for AI model deployment.

Experience:

- 5+ years of experience in AI/ML engineering, with a focus on natural language processing (NLP).- Hands-on experience with LLMs such as GPT, BERT, or similar models.- Proven experience in prompt engineering and optimizing LLM outputs.

Soft Skills:

- Strong problem-solving abilities and attention to detail.- Excellent communication skills, both written and verbal.- Ability to work collaboratively in a fast-paced, agile environment.- Enthusiasm for learning and applying new technologies.

Preferred Qualifications:

- Experience in reinforcement learning or other advanced AI techniques.- Familiarity with ethical considerations in AI and responsible AI practices.- Contributions to open-source projects or publications in relevant fields.

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