Senior Generative AI Engineer (Remote)

Antal International Network; United States; Remote; Confidential; Full time

Job summary

A leading company in the AI domain is seeking a seasoned Generative AI Engineer to lead the development and deployment of advanced language models and generative systems. The role requires deep expertise in machine learning and NLP, with collaboration across teams to provide impactful AI solutions. The ideal candidate will have proficiency in Python and experience with tools such as TensorFlow and PyTorch, alongside a Master's degree in a related field.

Qualifications

• 6 to 10 relevant years of experience.
• Ability to work independently in a remote-first setup.

Responsibilities

• Design, develop, and fine-tune transformer-based models (e.g., GPT, BERT).
• Implement prompt engineering techniques.
• Integrate AI solutions into existing systems.

Skills

Python

NLP

Deep Learning

Machine Learning

MLOps

Education

Master’s degree in Computer Science, AI, Data Science, or related field

Tools

TensorFlow

PyTorch

HuggingFace

OpenAI

Job description

Experience: 6 to 10 relevent years
Location: Remote
Notice Period: Immediate to 30 days preferred
Client:India based prestigiousenterprise in the AI domain

Overview:

We are seeking a seasoned Generative AI Engineer to spearhead the development and deployment of cutting-edge language models and generative systems. The ideal candidate will possess a profound understanding of machine learning, NLP, and deep learning, collaborating closely with cross-functional teams to deliver impactful AI solutions.

Key Responsibilities:

Design, develop, and fine-tune transformer-based models (e.g., GPT, BERT, LLaMA).

Implement prompt engineering techniques to optimize model performance.

Integrate AI solutions into existing systems, ensuring scalability and efficiency.

Stay abreast of the latest advancements in generative AI and apply them to projects.

Collaborate with data scientists and software engineers to deploy models in production environments.

Key Skills Required:

Proficiency in Python and experience with TensorFlow or PyTorch.

Hands-on experience with NLP models and LLMs.

Familiarity with HuggingFace, OpenAI, or similar libraries.

Understanding of MLOps concepts and CI/CD pipelines for ML deployment.

Experience with vector databases (e.g., Pinecone, FAISS) and embeddings.

Preferred Qualifications:

Master’s degree in Computer Science, AI, Data Science, or a related field.

Ability to work independently in a remote-first setup.

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