Data Scientist

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About Space Inventive

Space Inventive

Data, AI/ML, Product Engineering, Design, and Sustainability solutions

Data Science

Data Engineering

UX/UI

Product Development

deep tech expertise

human-centered design

learning, ownership, and innovation

Key Responsibilities

• Design, build, and deploy scalable NLP/ML models for real-world applications.
• Fine-tune and optimize Large Language Models (LLMs) using techniques such as LoRA, PEFT, or QLoRA.
• Work with transformer-based architectures (e.g., BERT, GPT, LLaMA, T5, etc.).
• Develop GenAI applications using frameworks such as LangChain, Hugging Face, OpenAI API, or Retrieval-Augmented Generation (RAG).
• Write clean, efficient, and testable Python code following best practices.
• Collaborate with data scientists, software engineers, and stakeholders to define and deliver AI-driven solutions.
• Evaluate model performance and iterate rapidly based on user feedback and performance metrics.
  

Required Skills & Qualifications

• 3+ years of experience in Data Science, Machine Learning, and Generative AI (GenAI) using Python.
• Strong understanding of NLP concepts, including text preprocessing, embeddings, NER, and sentiment analysis.
• Proficiency in ML libraries: scikit-learn, PyTorch, TensorFlow, spaCy, and Hugging Face Transformers.
• Experience with GenAI concepts, including prompt engineering, LLM fine-tuning, and vector databases (e.g., FAISS, ChromaDB).
• Strong analytical, problem-solving, and communication skills.
• Ability to learn new tools and work independently or collaboratively in a fast-paced environment.
• High attention to detail and commitment to quality.
  

Preferred Skills

• Theoretical or practical experience in Data Engineering, AI/ML, RPA, or related domains.
• Certifications in Data Science, AI/ML, Business Analysis, or Project Management from recognized institutions.
• Experience working in Agile environments (Scrum or Kanban).
  

Key Technical Focus Areas

• Deep Learning & Transformer Architectures: Experience working with advanced deep learning models and transformer-based architectures.
• Prompt Engineering & GenAI Pipelines: Skilled in prompt engineering, training LLMs, and preparing GenAI pipelines. Practical experience integrating LLMs such as ChatGPT, Gemini, and Claude with context-aware capabilities using RAG or fine-tuning techniques.
• Model Evaluation & Alignment: Expertise in evaluating and aligning models using appropriate performance metrics to measure and improve accuracy.
• Data Curation & RAG Preprocessing: Proficient in data sourcing, curation, and preprocessing for RAG workflows and LLM pipeline development.
• Scalable Deployment & Tooling: Hands-on experience with scalable deployment, API development, and logging tools. Proficient in Flask, Django, FastAPI, Docker containerization, and Kubeflow.
• Frameworks & Optimization: Familiar with LangChain, LlamaIndex, vLLM, Hugging Face Transformers, and LoRA, with a sound understanding of cost-to-performance trade-offs in large-scale model deployment.
  

Why Join Us (Data Scientist)

Space Inventive

high-impact AI/ML projects

global clients

Expect

• End-to-end model ownership and experimentation freedom.
• Exposure to advanced tech stacks and next-gen AI tools.
• A culture that values innovation, continuous learning, and impactful thinking.