Senior AIML Engineer- NLP/GenAI

• Role & responsibilities

As a Senior AIML Engineer specializing in Generative AI and NLP, you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems.problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries.

Generative AI & NLP Development: Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients.

Model Customization & Fine-Tuning: Apply state-of-the-art techniques like LoRA, PEFT, and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact.

Innovative Problem Solving: Leverage advanced AI methodologies to tackle real-world business problems, providing
creative and scalable AI-powered solutions that drive measurable results.

Data-Driven Insights: Conduct deep analysis of large datasets, uncovering insights and trends that guide decision-making, improve operational efficiencies, and fuel innovation.

Cross-Functional Collaboration: Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications.

Client Engagement: Collaborate with clients to understand their unique business needs, provide tailored AI solutions,and educate them on the potential of Generative AI to drive business transformation.

• Required Qualifications:

Generative AI & NLP Expertise: Extensive experience in developing and deploying Generative AI applications and NLP frameworks, with hands-on knowledge of LLM fine-tuning, model customization, and AI-powered automation.

Hands-On Data Science Experience: 6+ years of experience in data science, with a proven ability to build and

operationalize machine learning and NLP models in real-world environments.

AI Innovation: Deep knowledge of the latest developments in Generative AI and NLP, with a passion for experimenting

with cutting-edge research and incorporating it into practical solutions.

Problem-Solving Mindset: Strong analytical skills and a solution-oriented approach to applying data science

techniques to complex business problems.

Communication Skills: Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.