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Artificial Intelligence Engineer

Artificial Intelligence Engineer

CareerXperts ConsultingBengaluru, IN
3 days ago
Job description

We’re looking for a hands-on AI Engineer to join our team and build intelligent systems that solve real-world problems at scale. From training deep learning models to deploying them in production, you’ll work across the AI lifecycle — helping us push the boundaries of what machines can do.

This is not just a model-tweaking role — we expect you to design solutions, write robust code, and bring models into production with performance and scalability in mind.

Key Responsibilities :

  • Design, develop, train, fine-tune, and deploy machine learning / deep learning models.
  • Collaborate with data scientists and engineers to productionize models (model serving, APIs, pipelines).
  • Perform data preprocessing, feature engineering, and model optimization.
  • Build and maintain scalable ML infrastructure using frameworks like TensorFlow, PyTorch, and MLFlow.
  • Apply LLMs, transformers, NLP techniques, or computer vision models based on problem context.
  • Monitor model performance and retrain / refactor as needed in production.
  • Stay up to date with AI research and evaluate potential applications of cutting-edge techniques.

Must-Have Skills :

  • Strong coding skills in Python (and ideally experience with C++ / Java or other system-level languages).
  • Hands-on experience with ML / DL frameworks : TensorFlow, PyTorch, Hugging Face, Scikit-learn.
  • Experience with NLP, CV, or generative AI techniques (depending on role focus).
  • Solid understanding of model evaluation, training strategies, and overfitting control.
  • Experience working with structured / unstructured data at scale.
  • Familiarity with deploying ML models (REST APIs, Docker, Kubernetes, etc.).
  • Knowledge of cloud platforms (AWS, GCP, or Azure) and MLOps tools is a plus.

    • Good to Have :

  • Experience working with LLMs or foundation models (e.g., OpenAI, LLaMA, Gemini).
  • Familiarity with vector databases (e.g., Pinecone, FAISS) and retrieval-augmented generation (RAG).
  • Exposure to data engineering workflows or real-time inference systems.
  • Contributions to open-source AI / ML projects or strong GitHub portfolio.
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    Artificial Intelligence Engineer • Bengaluru, IN