Roles & Responsibilities

Design, develop, and implement AI/ML solutions based on business requirements.
Build, train, evaluate, and deploy machine learning and deep learning models.
Work with Large Language Models (LLMs) to fine-tune models, perform prompt engineering, and apply them to specific use cases.
Experiment with and evaluate different LLM architectures to identify optimal solutions.
Perform data analysis, data visualization, and statistical modeling to extract insights from data.
Collaborate with cross-functional teams to integrate AI/ML models into production systems.
Optimize model performance and ensure scalability and reliability of solutions.
Use version control systems to manage code and collaborate effectively.
Troubleshoot and solve complex technical problems related to AI/ML systems.

Required Skills:

Strong programming skills in Python and experience with libraries such as TensorFlow, PyTorch, scikit-learn, Pandas, and NumPy.
Solid understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.
Hands-on experience with deep learning frameworks and architectures (CNNs, RNNs, Transformers).
Experience working with Large Language Models (LLMs) such as GPT, BERT, or similar.
Knowledge of fine-tuning LLMs, prompt engineering, and applying LLMs to real-world tasks.
Understanding of the strengths and limitations of current LLM technologies.
Strong background in data science, including data analysis, data visualization, and statistical modeling.
Experience with SQL and NoSQL databases.
Familiarity with cloud platforms such as AWS, Azure, or GCP and their AI services.
Proficiency in version control tools like Git and GitHub.
Excellent analytical, problem-solving, and debugging skills.

AI/ML Developers

Job Description