Python AI/ML

Job Title: Python AI/ML Developer

Role : Developer Experience 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.

Responsibilities

• 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, DevOps, 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.

Required Skill Set:

Technical Skills:

• Programming Languages: Python (strong proficiency), experience with NumPy, Pandas, Scikit-learn.
• AI/ML Frameworks: TensorFlow, PyTorch, HuggingFace 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 GitHub.
• Database Experience: SQL and NoSQL databases; vector DBs like FAISS, ChromaDB, or Qdrant preferred.

• Nice to Have (Optional):

• Experience with Docker, Kubernetes, or cloud environments (Azure, AWS).
• Familiarity with LangChain, LlamaIndex, or multi-agent frameworks (CrewAI, AutoGen).

• 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, TensorFlow Developer, etc.) are a plus.