Senior Data Scientist

Job Description

Company: Space Inventive Website: Visit Website Business Type: Small/Medium Business Company Type: Product & Service Business Model: B2B2C Funding Stage: Bootstrapped Industry: IT Software Services & Product Salary Range: ? 18-25 Lacs PA Job Description About Space Inventive: Space Inventive is a global niche technology company specializing in advanced Data, AI/ML, Product Engineering, Design, and Sustainability solutions. We build high-impact digital products and deliver end-to-end services across Data Science, Data Engineering, UX/UI, and Product Development. With innovation at the core, we combine deep tech expertise with human-centered design to help enterprises accelerate transformation. Our teams work on cutting-edge tools, in-house platforms, and global projects, offering an environment focused on 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 like 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 RAG (Retrieval-Augmented Generation). Write clean, efficient, and testable Python code. Collaborate with data scientists, software engineers, and stakeholders to define AI- driven solutions. Evaluate model performance and iterate rapidly based on user feedback and metrics. Required Skills s Qualifications 6+ years of experience in Data Science(Machine Learning and GEN AI) and Python. Solid understanding and experience in NLP, including text preprocessing, embeddings, NER, sentiment analysis, etc. Proficiency in ML libraries: scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, spaCy. Experience with GenAI concepts, including prompt engineering, LLM fine-tuning, and vector databases (e.g., FAISS, ChromaDB). Strong problem-solving and communication skills. Ability learn new tools, to work independently and collaboratively in a fast-paced environment Attention to detail and accuracy Preferred Skills. Theoretical knowledge of or experience in Data Engineering, Data Science, AI, ML, RPA or other related domains. Certification in Business Analysis or Project Management from a recognized institution. Experience in working with agile methodologies such as Scrum or Kanban Please find the below points for your reference: - Experience on Deep Learning and Transformer architectures and models Prompt Engineering, training LLMs and GenAI pipeline preparation. practical experience in integrating LLM models like ChatGPT, Gemini, Claude etc with context aware capabilities using RAG or fine-tuning models. Model Evaluation & Alignment. Metrics to calculate the model?s accuracy. Data Curation from sources for RAG Preprocessing and development LLM Pipelines. Scalable Deployment and logging tooling. Must have skills like Flask, Django, Fast API, APIs, Docker containerisation, Kubeflow. Familiarity with Lang Chain, Llama Index, vLLM, Hugging Face Transformers, LoRA and basic understanding of cost to performance trade-offs Why Join Us (Data Scientist) As a Data Scientist at Space Inventive, you?ll work on high-impact projects across AI/ML, predictive analytics, and data-driven product innovation. You?ll build models that power our in-house platforms, solve complex real-world problems for global clients, and collaborate with top-tier data engineers and product teams. Expect exposure to advanced tech stacks, end-to-end model ownership, experimentation freedom, and a culture that values innovation, learning, and impactful thinking.