AI Engineer

Overview:

We are seeking a highly skilled AI Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. The ideal candidate has a strong background in computer science, mathematics, and data science, with hands-on experience building and deploying AI models that solve real-world problems.

Key Responsibilities:

• Design, develop, and optimize machine learning and AI models for production use.
• Collaborate with data scientists, engineers, and product teams to integrate AI solutions into applications.
• Preprocess, clean, and analyze structured and unstructured datasets.
• Develop and maintain scalable pipelines for training, evaluation, and deployment of ML models.
• Monitor, test, and improve the performance of AI models in production.
• Stay updated with the latest AI/ML research, frameworks, and best practices.
• Ensure AI systems meet ethical, responsible AI, and security standards.

Qualifications:

• Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related field (PhD is a plus).
• Proven experience in machine learning, deep learning, or natural language processing.
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face, etc.).
• Solid understanding of algorithms, data structures, probability, and statistics.
• Experience with data handling, feature engineering, and model evaluation.
• Familiarity with cloud platforms (AWS, GCP, Azure) and ML Ops tools.
• Knowledge of APIs, microservices, and deployment practices.

Nice-to-Have Skills:

• Experience with large language models (LLMs), generative AI, or reinforcement learning.
• Familiarity with vector databases and semantic search.
• Understanding of distributed computing (Spark, Ray, Dask).
• Knowledge of CI/CD pipelines for ML (MLflow, Kubeflow, Vertex AI).
• Background in computer vision, NLP, or recommendation systems.
• Originally posted on Himalayas