AI/ML Developer (LLM)- 3 to 5 Years

● Minimum of (3+) years of experience in AI-based application development.

● Fine-tune pre-existing models to improve performance and accuracy.

● Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and

familiarity with APIs like OpenAI or vertex AI

● Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT).

● Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs,

Hugging Face, and Prompt Engineering techniques to build robust and scalable AI

applications.

● Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define

customer experience solutions (Fine tune Large Language models (LLM)).

● Architect and develop advanced generative AI solutions leveraging state-of-the-art

language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others.

● Strong understanding and experience with open-source multimodal LLM models to

customize and create solutions.

● Explore and implement cutting-edge techniques like Few-Shot Learning,

Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model

training and fine-tuning.

● Proficiency in data preprocessing, feature engineering, and data visualization using

tools like Pandas, NumPy, and Matplotlib.

● Optimize model performance through experimentation, hyperparameter tuning, and

advanced optimization techniques.

● Proficiency in Python with the ability to get hands-on with coding at a deep level.

● Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating

AI capabilities into various systems.

● Ability to write optimized and high-performing scripts on relational databases (e.g.,

MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra)

● Enthusiasm for continuous learning and professional developement in AI and leated

technologies.

● Collaborate with cross-functional teams to understand business requirements and

translate them into technical solutions.

● Knowledge of cloud services like AWS, Google Cloud, or Azure.

● Proficiency with version control systems, especially Git.

● Familiarity with data pre-processing techniques and pipeline development for Al

model training.

● Experience with deploying models using Docker, Kubernetes

● Experience with AWS Bedrock, and Sagemaker is a plus

● Strong problem-solving skills with the ability to translate complex business problems

into Al solutions.