We are looking for a hands-on AI Engineer to join our innovation-driven team in Ahmedabad and build production-ready AI solutions. This is an exciting opportunity for someone with a strong Python background to integrate LLMs and develop RAG pipelines for real-world business challenges.
Roles & Responsibilities:
Design, train, and optimize AI/ML models focusing on NLP, LLMs, or predictive analytics for practical use cases.
Develop and maintain high-performance, scalable REST APIs using the FastAPI framework.
Seamlessly integrate OpenAI or Hugging Face services into robust backend architectures.
Build and implement Retrieval-Augmented Generation (RAG) pipelines to enhance AI model outputs.
Perform comprehensive data preprocessing, feature engineering, and rigorous model evaluation.
Work closely with databases like PostgreSQL, MySQL, and SQLite for efficient data management.
Handle complex API integrations, webhooks, and asynchronous background tasks.
Document project architecture and technical workflows with high clarity for the development team.
Participate in active code reviews and technical brainstorming sessions to drive innovation.
Requirements:
Minimum 6 months to 1 year of practical experience in AI/ML development.
Strong proficiency in Python with hands-on experience in FastAPI for backend services.
Solid experience with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch.
Proven track record of building at least one functional AI solution (e.g., chatbot, automation tool).
Familiarity with modern AI ecosystems like LangChain, GPT, or Hugging Face.
Sound understanding of model evaluation metrics, data preprocessing, and model tuning.
Masters or Bachelors degree in Computer Science or a related technical field.
Perks & Benefits:
Competitive monthly salary tailored to your expertise and project experience.
Opportunity to work on bleeding-edge AI technologies and real-world production systems.
Collaborative work environment in a growing IT service-based company.
Mentorship from an experienced technical team to accelerate your career growth.
Additional Information:
Candidates are requested to provide a brief description of their AI projects, including the problem statement and tools used, during the application process.
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