AI Engineer

AI Engineer

You will be at the forefront of creating production-ready AI solutions, working closely with cross-functional teams to design, train, optimize, and deploy state-of-the-art models that solve real-world problems.

Key Responsibilities

• Design, train, and fine-tune models for tasks such as:
• Image classification, segmentation, object detection
• Text classification, summarization, generation
• Build and integrate generative AI solutions using LLMs (e.g., GPT, LLaMA, BERT)
• Optimize and deploy AI models in

  scalable, GPU-accelerated environments

• Collaborate with engineering, DevOps, and IT teams to ensure robust model deployment and monitoring
• Translate business requirements into AI solutions through close interaction with product and customer teams
• Continuously improve model performance with respect to accuracy, latency, and resource efficiency

Requirements

• Strong understanding of

  deep learning, computer vision, and NLP fundamentals

• Hands-on experience with:
• CNNs, RNNs/LSTMs, attention mechanisms, transformers
• Generative models such as

  diffusion models

  ,

  text-to-image models

  , or

  LLMs

• Proficiency in

  PyTorch

  or

  TensorFlow

• Experience working with LLM platforms such as

  Hugging Face

  ,

  OpenAI

  , or similar
• Exposure to prompt engineering, fine-tuning, or embedding-based retrieval
• Familiarity with

  GPU-based training workflows

  , distributed computing, or MLOps tools is a plus
• Solid programming skills in

  Python

  and comfort with Git, Docker, or related tools

Good to Have

• Experience with vector databases (e.g., FAISS, Pinecone)
• Knowledge of ML lifecycle tools like MLflow, Weights & Biases, or DVC
• Exposure to cloud platforms (AWS, GCP, or Azure) for model training/deployment