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AI Engineer
Space-O Technologies
posted 1mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Expertise in LLMs, machine learning, and data engineering.
- Knowledge of transformer architectures and deep learning models like CNNs and RNNs.
- Strong in Python and JavaScript; familiarity with C++ and Java is a plus.
- Experience with TensorFlow, PyTorch, and Keras for AI model development.
- Proficient in building scalable data pipelines and performing data preprocessing.
- Familiarity with AWS, Google Cloud, or Azure for scalable deployments.
- Understanding of CI/CD practices for automating AI workflows.
- Awareness of AI ethics, including bias mitigation and fairness principles.
- Strong analytical and problem-solving skills with adaptability to new technologies.
Roles and Responsibilities
- Develop and fine-tune LLMs for tasks like retrieval-augmented generation (RAG).
- Build and deploy machine learning models using frameworks like TensorFlow, PyTorch, and Keras.
- Create scalable data pipelines using Apache Spark, Hadoop, and SQL.
- Conduct data preprocessing, including cleaning, transformation, and feature engineering.
- Leverage agentic frameworks such as LangGraph, CrewAI, and AutoGen to design advanced AI workflows.
- Deploy AI models on cloud platforms (AWS, Google Cloud, Azure) and implement CI/CD practices.
- Develop generative models like GANs for synthetic data generation and analysis.
- Ensure ethical AI design by mitigating bias and promoting fairness.
- Troubleshoot and optimize AI systems for performance and scalability.
Employment Type: Full Time, Permanent
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What Space-O Technologies employees are saying about work life
based on 73 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Space-O Technologies Benefits
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