Python AI/ML Developer

5 days ago

Chennai, Tamil Nadu, India warrior tech solutions Full time ₹ 1,00,000 - ₹ 13,00,000 per year

Hi,

Greetings from EWarriors Tech Solutions. We are hiring for the following position:

Role: Python AI/ML Developer

Location: Chennai (Onsite)

Experience: 3 – 7 Years

Shift Timing: 11 AM – 8 PM

Notice: Immediate Joiners / Less than 15 Days

Interview Mode: F2F

Date & Time: 20th Sept, 11.00 AM

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.

Key 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.

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).

If interested, kindly share the resumes to ** or contact @

Job Type: Full-time

Pay: ₹1,000, ₹1,300,000.00 per year

Benefits:

  • Health insurance
  • Paid sick time
  • Provident Fund

Work Location: In person

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