AI Specialist

Job Description

- Contribute to the design and implementation of AI solutions.
- Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
- Collaborate with stakeholders to identify business opportunities and define AI project goals.
- Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
- Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
- Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
- Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
- Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
- Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
- Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
- Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
- Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.

Job Requirements

- Bachelor’s Degree in Computer Science, Engineering, Data Science, or any other relevant subject.
- Minimum 2 years of experience in Data Science and Machine Learning.
- Deploying LLMs, AI Agents and AI Solutions, integrate and deploy open source AI models and solutions from Huggingface repository.
- In-depth knowledge of machine learning, deep learning, and generative AI techniques.
- Proficiency in programming languages such as Python, R, and frameworks like TensorFlow, PyTorch, Flask, Langchain, Llamaindex, CrewAI and Autogen.
- Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
- Familiarity with computer vision techniques for image recognition, object detection, or image generation.
- Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
- Expertise in data engineering, including data curation, cleaning, and preprocessing.
- Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
- Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
- Track record of driving innovation and staying updated with the latest AI research and advancements.

Work Location