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Generative AI Engineer (2 To 5 years of experience)

Generative AI Engineer (2 To 5 years of experience)

Globallogic

3 - 5 years

15 - 20 Lacs

gurugram

Posted:3 days ago| Platform:

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Skills Required

fundamentals kubernetes python transformers natural language processing neural networks microsoft azure training engineering microsoft docker microsoft flow cloud deep learning tensorflow gcp machine pytorch telecom aws architecture deployment communication skills

Work Mode

Work from Office

Job Type

Full Time

Job Description

Description:

We are looking for a highly skilled and innovative Generative AI Engineer to join our dynamic team. In this role, you will be at the forefront of AI development, responsible for designing, building, and deploying cutting-edge generative models and applications. You will work on everything from large language model (LLM) training and fine-tuning to developing sophisticated NLP solutions. If you are passionate about pushing the boundaries of artificial intelligence, we want to hear from you.

Requirements:

Required Skills and Qualifications:

Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.
Proven hands-on experience in building and deploying Gen AI and Deep Learning models.
Strong proficiency in Python and its core data science libraries (e.g., TensorFlow, PyTorch, Hugging Face, LangChain).
In-depth knowledge of LLM architecture, LLM training methodologies, and fine-tuning techniques (e.g., LoRA, QLoRA).
Solid understanding of Neural Network fundamentals.
Experience with NLP, including text processing and embedding preparation (e.g., Word2Vec, GloVe, sentence transformers).
Practical experience implementing RAG pipelines and vector databases (e.g., Pinecone, ChromaDB).
Familiarity with APIs from major AI providers like OpenAI, Google.
Strong problem-solving skills and the ability to work independently and in a team environment.

Preferred Qualifications

Experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow).
Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure).
Contributions to open-source AI/ML projects or a portfolio of relevant work.
Published research in the field of AI, NLP, or Machine Learning.

Job Responsibilities:

Key Responsibilities:

Design, develop, and implement advanced Generative AI solutions using state-of-the-art models and techniques.
Train, fine-tune, and evaluate Large Language Models (LLMs) for specific use cases, ensuring optimal performance and accuracy.
Develop and integrate Retrieval-Augmented Generation (RAG) systems to enhance model responses with external knowledge bases.
Apply expertise in Deep Learning and Neural Networks to build robust and scalable AI systems.
Utilize Natural Language Processing (NLP) techniques for tasks such as text classification, sentiment analysis, and named entity recognition.
Manage the full lifecycle of AI models, including embedding preparation, data preprocessing, model deployment, and monitoring.
Write clean, efficient, and well-documented code, primarily in Python.
Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to deliver high-impact AI features.
Stay current with the latest advancements in the field, including new models from OpenAI and other research institutions.

What We Offer:

Exciting Projects:

Collaborative Environment:

Work-Life Balance:

Professional Development:

Excellent Benefits:

Fun Perks:

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Globallogic

Software Development

Santa Clara CA

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Generative AI Engineer (2 To 5 years of experience)