Gurugram, Haryana, India
Information Technology
Full-Time
NexusLink Services India Pvt Ltd
Overview
About Us
At NexusLink Services, we are passionate about building intelligent, scalable solutions that drive real-world impact.
As we expand our AI/ML capabilities, were looking for a Generative AI-focused Data Scientist to join our innovative and rapidly growing team.
Role Overview
We are seeking an experienced Data Scientist with deep expertise in Generative AI to design and implement cutting-edge models that solve real business problems.
You will work with LLMs, GANs, RAG frameworks, and transformer-based architectures to build production-ready solutions across industries.
Key Responsibilities
At NexusLink Services, we are passionate about building intelligent, scalable solutions that drive real-world impact.
As we expand our AI/ML capabilities, were looking for a Generative AI-focused Data Scientist to join our innovative and rapidly growing team.
Role Overview
We are seeking an experienced Data Scientist with deep expertise in Generative AI to design and implement cutting-edge models that solve real business problems.
You will work with LLMs, GANs, RAG frameworks, and transformer-based architectures to build production-ready solutions across industries.
Key Responsibilities
- Design, develop, and fine-tune Generative AI models (LLMs, GANs, Diffusion models, etc.
- Work on RAG (Retrieval-Augmented Generation) and transformer-based architectures.
- Customize and fine-tune LLMs for domain-specific use cases.
- Build and manage robust ML pipelines for training, evaluation, and deployment.
- Collaborate with engineering teams to integrate models into real-world applications.
- Stay updated with the latest GenAI research, tools, and trends.
- Analyze model outputs, monitor performance, and ensure responsible AI use.
- Strong Python skills with experience in ML/DL libraries: TensorFlow, PyTorch, HuggingFace Transformers.
- Deep understanding of LLMs, GANs, RAG, Autoencoders, etc.
- Experience with LoRA, PEFT, or similar fine-tuning techniques.
- Familiarity with Vector Databases (FAISS, Pinecone) and embeddings.
- Expertise in data preprocessing, synthetic data generation.
- Solid knowledge of NLP, prompt engineering, and language model safety.
- Hands-on experience with model deployment, APIs, and cloud platforms (AWS/GCP/Azure).
- Experience with Chatbots, Conversational AI, or AI Assistants.
- Familiarity with LangChain, LLMOps, or serverless model deployment.
- Background in MLOps, Docker/Kubernetes, and CI/CD pipelines.
- Exposure to OpenAI, Anthropic, Google Gemini, or Meta LLaMA.
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