Data Science Specialist

2 weeks ago

Gurgaon, Haryana, India Antal International Full time

Role Overview:

We are seeking a passionate and highly skilled AI Engineer with a strong background in

Generative AI and Large Language Models (LLMs). The ideal candidate will have 3-6 years of

hands-on experience in developing, fine-tuning, and deploying state-of-the-art models like GPT,

BERT, T5, and similar architectures. You will be responsible for building advanced AI solutions

that power our next-generation products and services.

Key Responsibilities:


• Model Development & Research: Develop and optimize generative models, especially

LLMs (e.g., GPT, BERT, T5) for various NLP tasks such as text generation, summarization,

sentiment analysis, and question answering.


• Data Handling & Preprocessing: Work with large-scale datasets to train and fine-tune

models, ensuring high-quality data preprocessing and augmentation to improve model

accuracy and performance.


• Algorithm Optimization: Collaborate with cross-functional teams to design and implement

algorithms that scale and are optimized for production environments.


• Deployment & Scaling: Lead efforts in deploying machine learning models to production

and optimizing for performance, efficiency, and scalability on cloud infrastructure (AWS,

GCP, Azure).


• Cross-team Collaboration: Work closely with product, engineering, and data science teams

to align AI solutions with business goals and requirements.


• Research & Innovation: Stay up to date with the latest advancements in AI, machine

learning, and NLP. Contribute to research papers or patents where applicable.


• Mentoring & Knowledge Sharing: Mentor junior engineers and data scientists, sharing

your expertise in machine learning, AI tools, and techniques.

Qualifications:


• Education: Bachelor's or Master's degree from a premier institution in Computer Science,

Engineering, Mathematics, or a related field.


• Experience:

◦ 3-6 years of professional experience working in Generative AI, Natural Language

Processing (NLP), and deep learning.

◦ Hands-on experience with training, fine-tuning, and deploying Large Language

Models (LLMs) such as GPT, BERT, T5, etc.

◦ Strong understanding of transformer architectures, attention mechanisms, and neural

networks.

◦ Experience with state-of-the-art NLP techniques (text generation, embeddings,

sentiment analysis, etc.).


• Technical Skills:

◦ Proficiency in Python and popular machine learning libraries (TensorFlow,

PyTorch, Hugging Face, etc.).

◦ Deep understanding of data structures, algorithms, and machine learning

methodologies.

◦ Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment and

scaling.

◦ Experience in optimizing models for production environments (efficiency, latency,

etc.).

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