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Artificial Intelligence Engineer

Artificial Intelligence Engineer

Quanto NeuralMumbai, IN
2 days ago
Job description

Key Responsibilities 1. Model Development & Optimization

  • Build, train, and fine-tune machine learning and deep learning models.
  • Implement NLP, computer vision, or recommendation systems depending on project needs.
  • Conduct feature engineering, data preprocessing, and experiment design.
  • Optimize model performance through hyperparameter tuning and algorithm improvements.

2. Data Engineering & Pipelines

  • Design and maintain scalable data pipelines for model training and inference.
  • Work with ETL processes, data warehousing, and big data frameworks (e.g., Spark, Kafka).
  • Ensure data quality, governance, and security.
  • 3. AI Deployment & MLOps

  • Deploy models to production using cloud services (AWS / GCP / Azure).
  • Build CI / CD pipelines for ML workflows.
  • Monitor model performance and drift; manage retraining pipelines.
  • 4. Software Engineering

  • Develop robust, production-grade code in Python, Java, or similar languages.
  • Implement APIs and microservices for model inference.
  • Collaborate closely with backend, frontend, and DevOps teams.
  • 5. Research & Innovation

  • Evaluate emerging AI technologies, models, and frameworks.
  • Experiment with LLMs, generative AI, and new architectures.
  • Translate research prototypes into production-ready solutions.
  • Required Skills Technical Skills

  • Proficiency in ML libraries and frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Strong programming skills in Python (preferred), C++, or Java.
  • Experience with cloud platforms (AWS Sagemaker, GCP Vertex AI, Azure ML).
  • Familiarity with vector databases, embeddings, RAG pipelines, or LLM orchestration.
  • Knowledge of data structures, algorithms, and system design.
  • Understanding of MLOps tools (Kubeflow, MLFlow, Docker, Kubernetes).
  • Soft Skills

  • Strong analytical and problem-solving abilities.
  • Ability to communicate complex technical concepts clearly.
  • Collaboration with cross-functional teams.
  • Adaptability in fast-paced environments.
  • Education & Experience

  • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or related field.
  • 2–5 years of experience with machine learning / AI development (for mid-level roles).
  • Experience working with large datasets and high-scale systems.
  • Preferred (Good to Have)

  • Experience with generative AI (GPT, diffusion models, fine-tuning, prompt engineering).
  • Familiarity with LLM frameworks like LangChain, LlamaIndex, Haystack.
  • Understanding of model compression, quantization, distillation.
  • Experience with multi-modal AI or reinforcement learning.
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    Artificial Intelligence Engineer • Mumbai, IN

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