Generative AI Engineer (5-10 yrs)

Job Title : Generative AI Engineer

Experience Required : 5+ years

Location : Gurgaon

Industry : Tech Product

Job Summary :

We are seeking an experienced Generative AI Engineer to join our client (Tech Product).

The ideal candidate will bring expertise in Generative AI, Natural Language Processing (NLP), and Machine Learning to build cutting-edge AI solutions.

You will collaborate with cross-functional teams to design and implement advanced AI-driven systems, leveraging state-of-the-art techniques such as LangChain, LLMs, and cloud platforms like GCP to deliver tailored solutions for our clients.

Key Responsibilities :

- Design, develop, and deploy generative AI models and frameworks to meet client needs.

- Apply expertise in Generative AI, Python, Machine Learning, Data Science, and Statistics to build innovative AI solutions.

- Utilize NLP techniques, LangChain, and large language models (LLMs) to create conversational chatbots and other tailored language models.

- Collaborate with cross-functional teams to design and implement advanced AI models and algorithms.

- Provide thought leadership and technical expertise in Generative AI and NLP to help clients adopt AI-driven solutions effectively.

- Conduct data analysis, preprocessing, and modeling to extract actionable insights and enable data-driven decision-making.

- Stay updated with the latest advancements in AI technologies, frameworks, and tools, and proactively integrate them into our solutions.

- Deploy AI applications on cloud platforms, with a strong focus on Google Cloud Platform (GCP).

Qualifications and Skills :

- Minimum 5+ years in Generative AI, Machine Learning, or related fields.

- Proficiency in Python, Machine Learning frameworks, NLP techniques, and statistical modeling.

- Hands-on experience with Generative AI models, LangChain, and large language models (LLMs).

- Strong knowledge of deploying AI applications on GCP or equivalent platforms.

Nice to Have :

- Experience in developing scalable AI systems for production environments.

- Familiarity with other cloud platforms like AWS or Azure.

- Exposure to advanced AI concepts such as reinforcement learning, multimodal AI, or federated learning.