AI Engineer

1 day ago

Bhilai, Chhattisgarh, India Jai Infoway Full time

About the Role

Jaiinfoway is looking for a juniormid level AI Engineer with 1–3 years of hands-on experience in machine learning / generative AI to help design, build, and deploy AI solutions for global clients. The role involves working on real-world projects in NLP, RAG, computer vision, and predictive analytics.

Key Responsibilities

  • Design, develop, and deploy machine learning and AI models for production use cases.
  • Collect, clean, and preprocess structured and unstructured data (text, images, logs, etc.).
  • Implement and fine-tune models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Contribute to GenAI and RAG solutions using LLM frameworks (LangChain / LlamaIndex) and vector databases.
  • Build APIs / microservices (Python/FastAPI/Flask) to integrate AI models with applications.
  • Run experiments, evaluate models, and iterate using metrics such as accuracy, F1, ROC-AUC, BLEU, etc.
  • Work closely with senior engineers, data scientists, and product managers to understand business requirements and translate them into AI solutions.
  • Participate in code reviews, documentation, and MLOps workflows (versioning, monitoring, CI/CD for models).
  • Stay updated with latest research and tools in AI/ML and bring ideas to improve current solutions.

Required Skills & Qualifications

  • B.E./B.Tech/M.Tech in Computer Science, IT, Data Science, or related field.
  • 1–3 years of hands-on experience in AI/ML development (internships can be counted for freshers with strong projects).
  • Strong programming skills in Python and experience with ML libraries (NumPy, Pandas, Scikit-learn).
  • Practical experience building at least 1–2 end-to-end ML or GenAI projects (training, evaluation, deployment).
  • Knowledge of deep learning frameworks such as TensorFlow or PyTorch.
  • Good understanding of core ML concepts: supervised/unsupervised learning, feature engineering, overfitting, regularization, etc.
  • Basic understanding of cloud platforms (AWS/Azure/GCP) and Git-based workflows.
  • Strong problem-solving skills, curiosity to learn, and ability to work in a fast-paced environment.

Good to Have (Preferred)

  • Experience with LLMs, OpenAI/Anthropic/Bedrock APIs, LangChain, or RAG pipelines.
  • Exposure to NLP (text classification, summarization, chatbots) or computer vision (image classification, detection).
  • Familiarity with Docker, REST APIs, and basic MLOps tools (MLflow, Weights & Biases, or similar).
  • Experience working with SQL/NoSQL databases and data pipelines.

What We Offer

  • Opportunity to work on cutting-edge GenAI and enterprise AI projects for global clients.
  • Mentorship from senior architects in AI, data, and cloud.
  • Competitive salary, performance-based incentives, and fast growth for high performers.
  • Collaborative, learning-focused culture with exposure to AWS, GCP, and Azure projects.

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