Data Scientist - Python

Join the Team Powering the Future of Mortgage Intelligence

loan

DNA, a division of Consolidated Analytics
, is redefining how the U.S. mortgage market manages the entire loan lifecycle. We combine the precision of AI with the expertise of human intelligence
. As a fast-growing mortgage technology company, we’re building smarter, faster, and more transparent solutions that transform how lenders process, underwrite, and manage risk.

Our Center of Excellence in Chennai is at the forefront of this transformation, driving innovation, automation, and insight across the mortgage ecosystem. Joining now means getting in on the ground floor of a breakthrough platform reshaping the future of mortgage operations.

Job Title:

Python AI/ML Developer

Level: 3–7 years

We are seeking highly skilled and motivated Python Developers with AI/ML experience and familiar with prompt engineering and LLM integrations to join our Innovations Team.

The team is responsible for exploring emerging technologies, building proof-of-concept (PoC) applications, and delivering cutting-edge AI/ML solutions that drive strategic transformation and operational efficiency.

As a core member of the Innovations Team, you will work on AI-powered products, rapid prototyping, and intelligent automation initiatives across domains such as mortgage tech, document intelligence, and generative AI.

• Design, develop, and deploy scalable AI/ML solutions and prototypes. Build data pipelines, clean datasets, and engineer features for training models. Apply deep learning, NLP, and classical ML techniques.
• Integrate AI models into backend services using Python (e.g., FastAPI, Flask).
• Collaborate with cross-functional teams (e.g., UI/UX, Dev Ops, product managers).
• Evaluate and experiment with emerging open-source models (e.g., LLaMA, Mistral, GPT).
• Stay current with advancements in AI/ML and suggest opportunities for innovation.

• Technical
  
  Skills:
  
  Programming
  
  Languages:
  
  Python (strong proficiency), experience with Num Py, Pandas, Scikit-learn. AI/ML Frameworks:
  Tensor Flow, PyTorch, Hugging Face Transformers, OpenCV (nice to have). NLP & LLMs:
  
  Experience with language models, embeddings, fine-tuning, and vector search. Prompt Engineering:
  Experience designing and optimizing prompts for LLMs (e.g., GPT, Claude, LLaMA) for various tasks such as summarization, Q&A, document extraction, and multi-agent orchestration. Backend Development:
  FastAPI or Flask for model deployment and REST APIs. Data Handling:
  Experience in data preprocessing, feature engineering, and handling large datasets. Version Control:
  Git and Git Hub. Database
  
  Experience:
  
  SQL and No
  
  SQL databases; vector DBs like FAISS, Chroma
  
  DB, or Qdrant preferred.
  Nice to Have: Experience with Docker, Kubernetes, or cloud environments (Azure, AWS). Familiarity with Lang Chain, Llama Index, or multi-agent frameworks (CrewAI, Auto Gen).
• Soft Skills: Strong problem-solving and analytical thinking. Eagerness to experiment and explore new technologies. Excellent communication and teamwork skills. Ability to work independently in a fast-paced, dynamic environment. Innovation mindset with a focus on rapid prototyping and proof-of-concepts.
• Educational
  
  Qualification:
  
  Bachelor’s or master’s degree in computer science, Data Science, AI/ML, or a related field. Certifications in AI/ML or cloud platforms (Azure ML, Tensor Flow Developer, etc.) are a plus.