
Artificial Intelligence Engineer
2 weeks ago
We are looking for an experienced AI Engineer to design, develop, and deploy AI and machine learning models that solve real-world problems across multiple domains.
You will collaborate closely with data scientists, software developers, and business stakeholders to turn data into actionable insights and AI-driven applications.
Key Responsibilities :
vision, or recommendation systems.
- Develop proof-of-concept (POC) AI applications to validate feasibility and business value.
- Work with Python and ML libraries like TensorFlow, PyTorch, Scikit-learn, etc.
- Preprocess and analyze large datasets using Pandas, NumPy, and SQL.
- Collaborate with data engineering teams to ensure data quality and availability.
- Deploy models using APIs, Docker, GCP, Vertex AI, or similar platforms.
- Integrate third-party or foundation models (e.g., OpenAI, Google Gemini) into applications.
- Monitor and improve the performance of deployed models in production.
- Stay up to date with the latest AI/ML trends, tools, and frameworks.
- Work in an Agile environment, participating in sprints, code reviews, and daily stand-ups.
Required Skills & Experience :
- Bachelor's degree in Computer Science, AI, Data Science, or a related field.
- 3+ years of hands-on experience in AI/ML model development.
- Strong proficiency in Python.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Good understanding of supervised and unsupervised learning techniques.
- Strong analytical, problem-solving, and debugging skills.
- Experience deploying models via APIs, cloud services, or containers.
Preferred Skills :
- Experience with Google Cloud Platform (GCP) or AWS/Azure.
- Familiarity with Vertex AI, Kubeflow, or MLflow.
- Experience with Generative AI tools like OpenAI, Google Gemini, or Hugging Face
Transformers.
- Working knowledge of MLOps pipelines and CI/CD for ML.
- Basic knowledge of Docker, Kubernetes, and microservices.
- Exposure to Natural Language Processing (NLP) or Computer Vision projects
(ref:hirist.tech)
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