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Intelligent Systems Engineer
2 months ago
Position: Artificial Intelligence Engineer
Employment Type: Full-Time, Permanent
Work Arrangement: Remote
Compensation: $130,000
Key Responsibilities:
The primary duties of the AI Engineer encompass, but are not limited to:
- Crafting, developing, and deploying generative AI models and algorithms utilizing large language models (LLMs) for various applications such as text generation, audio transcription, and deriving insights from call center interactions.
- Designing and implementing retrieval-augmented generation (RAG) models in conjunction with vector databases, along with establishing effective strategies for embedding, chunking, and indexing to create specialized chatbots.
- Writing Python code and integrating it with machine learning and AI management platforms, including but not limited to LangChain, Snowflake Cortex, OpenAI, and Azure AI Studio.
- Formulating comprehensive design plans for AI and machine learning production solutions, selecting suitable algorithms, data sources, infrastructure, and technologies that align with the organization's objectives.
- Identifying company and client challenges and leveraging AI capabilities to devise effective solutions.
- Preparing and curating text data through processes such as cleaning, tokenization, and data augmentation to facilitate training and evaluation of AI models.
- Conducting experiments and fine-tuning models to enhance their performance.
- Collaborating with cross-functional teams to pinpoint and prioritize critical business areas where AI solutions can yield substantial benefits.
- Ensuring the delivery of high-quality, scalable, and efficient AI solutions.
- Deploying AI solutions in production settings while ensuring their stability and reliability.
- Monitoring the performance of AI solutions continuously and implementing necessary improvements.
- Staying abreast of advancements in AI technology and identifying opportunities to enhance existing solutions.
- Providing mentorship and guidance to junior members of the AI team.
- Participating in code reviews to uphold high-quality coding standards.
Qualifications:
- A minimum of 4 years of professional experience in AI engineering or related fields.
- At least 3 years of experience in developing AI or machine learning solutions on platforms such as AWS, Azure, OpenAI, Databricks, or Snowflake.
- Proficiency in utilizing Generative AI, including advanced prompting techniques and preferably fine-tuning models.
- Hands-on experience with deep learning, large language models, Python, TensorFlow, PyTorch, and other AI frameworks.
- Experience with evaluation frameworks for Generative AI, particularly in text generation contexts.
- Experience in taking a Generative AI project from inception through to production and implementation.
- Ability to think innovatively and collaborate on applying AI to solve business challenges across various domains.
- Familiarity with call center environments and operational insurance platforms is advantageous.
- Experience in data preprocessing, feature engineering, and model evaluation techniques.
Skills:
- Thorough understanding of AI concepts and algorithms, including deep learning, natural language processing, and reinforcement learning.
- Solid grasp of software engineering principles and best practices.
- Strong communication skills, capable of conveying complex technical concepts to both technical and non-technical audiences.
- Highly motivated and self-directed, with the ability to work independently and collaboratively within a team.
- Effective time management and organizational skills to handle multiple projects concurrently.
- Detail-oriented and dedicated to delivering high-quality outcomes.
- A commitment to continuous learning and adaptability to new technologies and methodologies.
Education:
- A bachelor's or master's degree in computer science, data science, or a related discipline is preferred.
- Relevant certifications in AI or related fields are a plus.