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 4- 6 years of hands-on experience and deep expertise in Generative AI to design and implement cutting-edge models that address real business challenges.
You will work with LLMs, GANs, RAG frameworks, and transformer-based architectures to build scalable, 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.
Required Skills :
4- 6 years of experience in data science or machine learning roles.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).Nice to Have :
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.(ref : hirist.tech)