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Python AI / ML Developer

Python AI / ML Developer

Consolidated AnalyticsChennai, Tamil Nadu, India
10 days ago
Job description

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.

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