NexusLink Services - Data Scientist - Machine Learning

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)