Role: ML Engineer
Location: Santa Clara, CA [Only Local]
Type: Long Term Contract No Remote.
This is onsite position.
Skills Requirements:
Basic Qualifications: Machine Learning (ML); Natural Language Processing (NLP) and MLOPS, as well as language models like BERT and RoBERT, are desired. Knowledge of TensorFlow, PyTorch, scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2. Proven experience analyzing data, including data quality assessment, data governance, and data protection. Familiarity with ethical considerations related to AI, such as fairness, transparency, accountability, and bias mitigation. Experience with extracting insights from large datasets to determine bias. Excellent analytical skills to identify potential risks and propose effective solutions. Clear communication skills to convey complex ethical and technical concepts to various partners. Ability to collaborate with cross-functional teams. Providing problem solving skills, proven communication in written and verbal formats to various audiences to include executive leadership. Demonstrated an understanding of challenges in building production-worthy AI systems. Proactively seeking guidance, clarification and feedback. Must be able to obtain and maintain a Public Trust. Contract requirement. Required Skills Knowledge of the legal and regulatory landscape surrounding AI, including privacy, ethics, liability, and intellectual property laws. Proven experience with the full system development lifecycle. Demonstrating an understanding of challenges in building production-worthy AI systems.