Skills
- Experience: Proven experience as an AI Engineer, Data Scientist, or similar role.
- Programming Languages: Proficiency in Python, R, Java, or other relevant programming languages.
- Machine Learning Frameworks: Experience with machine learning frameworks such as TensorFlow, Keras, PyTorch, or similar.
- Familiarity with NLP libraries and techniques such as NLTK, SpaCy, BERT, and GPT.
- Data Handling: Strong skills in data manipulation and analysis using libraries like Pandas, NumPy, etc.
- Mathematics and Statistics: Solid understanding of statistical and mathematical principles.
- Problem-Solving: Excellent analytical and problem-solving skills.
- Communication: Strong written and verbal communication skills to articulate complex concepts to non-technical stakeholders.
Your Background
- 4 to 3 years of experience in AI/ML engineering or a similar role.
- Educational Background: Bachelor’s or master’s Engineering degree.
- Experience with Cloud Platforms: Familiarity with cloud platforms like AWS, Google Cloud, or Azure for deploying AI models.
- Natural Language Processing: Experience with NLP and related tools and techniques.
- Computer Vision: Knowledge of computer vision techniques and tools.
- Big Data Technologies: Experience with big data tools and platforms such as Hadoop, Spark, etc.
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