Hiring: W2 Candidates Only
Location: USA
Visa: Open to any visa type with valid work authorization in the USA
Experience Required: 6 to 12 years
Level: Mid to Lead positions
Key Responsibilities
- Model Development: Design and implement generative models including GANs (Generative Adversarial Networks) VAEs (Variational Autoencoders) and large language models (LLMs) like GPT or BERT.
- Data Management: Collect preprocess and augment large datasets to train generative models ensuring data quality and relevance.
- Model Optimization: Tune hyperparameters and employ techniques like model pruning and quantization to enhance model performance and efficiency.
- Deployment & Integration: Deploy generative models into production environments ensuring scalability and reliability. Integrate models with existing systems and workflows.
- Collaboration: Work closely with cross-functional teams including data scientists software engineers and product managers to align AI solutions with business objectives.
- Research & Innovation: Stay updated with the latest advancements in generative AI technologies and methodologies. Contribute to research and development efforts to drive innovation within the organization.
Required Skills & Qualifications
- Education: Bachelors or Masters degree in Computer Science Engineering Mathematics or a related field.
- Programming Languages: Proficiency in Python with experience in ML libraries such as TensorFlow PyTorch and Keras.
- Machine Learning Expertise: Strong foundation in machine learning algorithms deep learning techniques and model evaluation metrics.
- Data Handling: Experience with data preprocessing augmentation and management of large-scale datasets.
- Model Deployment: Familiarity with deploying models on cloud platforms (AWS GCP Azure) and integrating them into production systems.
- Communication Skills: Ability to communicate complex technical concepts to non-technical stakeholders.