
Synthetic Intelligence Specialist
4 days ago
We are seeking an experienced AI engineer to join our organization. The ideal candidate will have a strong background in artificial intelligence and machine learning, with expertise in designing and developing AI solutions.
Key Responsibilities:
- Create and deploy machine learning models using large language models such as GPT4 and LangChain.
- Implement and fine-tune AI-generated text prompts using large language models.
- Utilize AI-specific tools like ChatGPT, Hugging Face Transformers, and Scikit-Learn.
- Analyze and derive use cases from structured and unstructured data.
- Present complex AI-driven insights through effective storytelling, business communication, and documentation skills.
- Develop applications in Python, leveraging libraries such as TensorFlow, PyTorch, Keras, and Scikit-Learn.
- Conduct exploratory data analysis and apply machine learning algorithms.
- Design, build, tune, and evaluate machine learning models.
- Work with MLOps, data pipelines, and data engineering to ensure seamless model deployment.
- Apply statistical knowledge, including probability distributions and hypothesis testing.
- Explore time series modeling, forecasting, image/video analytics, and natural language processing.
- Integrate ML services from cloud platforms such as AWS, GCP, Azure, and Databricks.
- Optional: Develop Big Data applications using Databricks, Spark, and Hive.
Requirements:
- Hands-on experience with large language models and AI-specific tools.
- Strong programming skills in Python, including Scikit-Learn, TensorFlow, PyTorch, and Keras.
- Ability to understand business requirements and derive use cases.
- Excellent communication and documentation skills.
- Knowledge of machine learning algorithms, statistical concepts, and data engineering principles.
Benefits:
This role offers the opportunity to work on cutting-edge AI projects, collaborate with a talented team, and develop your skills in machine learning and data engineering.
What We Offer:
A competitive compensation package, opportunities for professional growth and development, and a dynamic work environment that fosters innovation and collaboration.
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