Offer summary

Qualifications:

Proficiency in Python, R, or Java is essential., Experience with TensorFlow, PyTorch, and Scikit-learn is required., Familiarity with Generative AI platforms like OpenAI and Anthropic is necessary., Knowledge of cloud platforms such as AWS or Azure is important..

Key responsabilities:

Develop and optimize machine learning models for various applications.

Implement advanced ML techniques including Deep Learning and NLP.

Fine-tune and deploy pre-trained models like GPT and BERT.

Collaborate with teams and stay updated on the latest advancements in AI.

Job description

ML Engineer(Freelance Interviewer)

Experience:10 to 30 years

Location: Remote

Experience in developing and deploying Machine Learning models, Generative AI and Large Language Models (LLMs). The role involves developing, fine-tuning, and deploying ML and AI models for various applications.

Key Responsibilities:

Develop and optimize ML models
Implement ML techniques (Deep Learning, Neural Networks, CNN, NLP, etc)
Develop and optimize LLMs and Generative AI models
Fine-tune pre-trained models (GPT, BERT, etc.)
Implement model optimization techniques
Deploy AI/ML models and integrate them into applications
Stay updated on advancements and collaborate with teams

Qualifications:

Proficiency in Python, R, or Java
Experience with TensorFlow, PyTorch, Scikit-learn
Experience with one or more GenAI platforms/technologies (OpenAI, Anthropic, Gemini, Claude, etc)
Knowledge of one or more cloud platforms (AWS, Azure, GCP, Databricks, Snowflake, etc)

Required profile