AI Engineer

xfactor

Bengalor NM Years Exp Posted 1h ago

Design, develop, and deploy machine learning models and AI solutions.
Build and optimize data pipelines for model training and inference.
Develop predictive models, recommendation systems, and intelligent automation solutions.
Work with structured and unstructured datasets to extract valuable insights.
Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven products.
Fine-tune and evaluate machine learning and deep learning models.
Implement MLOps best practices for model deployment, monitoring, and maintenance.
Research and evaluate emerging AI technologies and frameworks.
Ensure model performance, scalability, and reliability in production environments.
Create technical documentation and share knowledge with team members.

Required Skills

Strong experience with Python and machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, and Keras.
Experience with Large Language Models (LLMs), Generative AI, and NLP solutions.
Knowledge of machine learning algorithms, deep learning, neural networks, and statistical modeling.
Experience with data processing frameworks such as Pandas, NumPy, and Spark.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
Understanding of MLOps, CI/CD pipelines, Docker, and Kubernetes.
Experience with REST APIs and model integration.
Strong problem-solving and analytical skills.

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Experience with Generative AI frameworks such as LangChain, LlamaIndex, Hugging Face, or OpenAI APIs.
Knowledge of vector databases and Retrieval-Augmented Generation (RAG) architectures.
- Certifications in AI, Machine Learning, Cloud, or Data Science are a plus.