Job Description:
The ideal candidate will have a strong background in AI.
Skills:
Python PyTorch TensorFlow SQL Server AWS
Responsibilities:
- Utilizing Large Language Models (LLMs), open-source tools, machine learning, and numerical programming frameworks to build transformative solutions.
- Possess a strong understanding of AI models, LLMs, and AI-specialized infrastructure, particularly regarding current trends and issues affecting businesses.
- Experienced in working with open-source models (TensorFlow, PyTorch, Hugging Face Transformers), cloud solutions, internal systems, and external partners to deliver optimal AI solutions.
- Optimizing existing generative AI models to enhance performance, scalability, and efficiency.
- Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
Ensuring best practices in AI problem-solving through thorough analysis, research, continuous experimentation, documentation, rapid prototyping, and extensive testing.
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Requirements:
- 6-8 years of hands-on experience in machine learning and deep learning. Strong understanding of Deep Learning algorithms in at least two AI domains (e.g., Computer Vision, NLP/NLG, Time Series Forecasting).
- Proficient in Python with extensive experience in machine learning frameworks like PyTorch, TensorFlow, and Keras.
- Adept at modelling problems into Deep Learning frameworks.
- Experience building, measuring, and iterating on neural network architectures.
- Experience working with data teams for data collection and organization.
- Results-oriented with experience in developing pipelines for ML/NLP model monitoring, extraction, indexing, building, and tuning.
- Skilled in defining validation strategies, pre-processing/feature engineering techniques, and data augmentation pipelines.
- Expertise in data exploration and visualization to understand data distributions and their impact on model performance.
- Experience with GPU/CUDA for accelerating deep learning model training.
Secondary Skills:
- Machine Learning Model Testing and Validation.
- Conduct thorough testing and validation of AI models for reliability, scalability, and security.
- Technical Mentorship.
- Ability to provide technical guidance and mentorship to junior team members.
- Staying Up to Date with AI Advancements.
- Demonstrated interest in keeping up to date with the latest advancements in NLP, ML, and AI.
