AI/ML Engineer

The provided job description contains relevant information about responsibilities and requirements for an AI/ML engineering role, but it exhibits several issues in formatting and content focus. It includes repetitive and irrelevant content such as multiple 'Continue with Google' prompts and a list of unrelated job titles at the end, which detracts from clarity and professionalism.

To improve, I will organize the description by removing redundant and irrelevant parts, maintaining the core responsibilities and requirements, and properly formatting the job titles for clarity.

Here is the refined version:

Responsibilities

• Develop and deploy AI/ML models to solve business problems across various domains, including prediction, classification, and pattern detection
• Support use cases in NLP and Generative AI, including basic work with LLMs, prompt design, and text-based automation
• Build and maintain ML pipelines for data processing, model training, evaluation, and deployment
• Collaborate with Data Scientists, Data Engineers, and Software Engineers to integrate AI/ML features into production systems
• Share knowledge and guide team members on best practices in AI/ML implementation
• Explore and evaluate tools and frameworks that improve AI/ML capabilities (e.g., Hugging Face, LangChain, OpenAI APIs)
• Assist in setting up basic ML-Ops workflows such as model versioning and monitoring

Requirements

• Bachelor's or Master’s degree in Computer Science, Data Science, or a related field
• 2-3 years of experience in AI/ML engineering with real-world project exposure
• Proficient in Python, with strong experience using frameworks like scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers
• Understanding of various ML techniques: supervised/unsupervised learning, time series, etc.
• Experience or strong interest in LLM, NLP, and prompt engineering
• Comfortable working with cloud-based platforms (e.g., GCP, Azure) or on-premise environments
• Experience working with cloud-based ML tools: GCP, Azure, or AWS
• Strong communication skills and ability to mentor or support adjacent roles

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