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SalaryRole: Artificial Intellogence (AI) Engineer
Location: Washington DC (Hybrid), Travel onsite up to 4 days in a row one time per month depending on the need.
Position Overview:
As an AI Resource with GENAI, you will be responsible for designing, implementing, and optimizing AI algorithms and models to address complex challenges across different domains. You will work closely with cross-functional teams including data scientists, software engineers, and domain experts to deliver high-quality AI solutions that meet the needs of our clients. This role offers an exciting opportunity to work on cutting-edge technologies and shape the future of Artificial Intelligence.
Key Responsibilities:
Develop and implement AI algorithms and models using GENAI to solve real-world problems.
Collaborate with data scientists to preprocess and analyze data for training and evaluation of AI models.
Optimize and fine-tune AI models for performance, scalability, and efficiency.
Integrate AI solutions into existing software systems and platforms.
Conduct research and experimentation to explore new AI techniques and methodologies.
Work closely with product managers and stakeholders to understand project requirements and objectives.
Provide technical guidance and support to junior team members as needed.
Stay up-to-date with the latest advancements in Artificial Intelligence and machine learning.
Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
Proven experience in developing and deploying AI solutions using frameworks such as TensorFlow, PyTorch, or Keras.
Strong programming skills in languages such as Python, Java, or C++.
Solid understanding of machine learning algorithms and techniques.
Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
Excellent problem-solving skills and attention to detail.
Effective communication and teamwork abilities.
Experience with GENAI or similar proprietary AI platforms is a plus.
Job Type: Contract
Pay: $95.00 - $100.00 per hour
Schedule:
- 8 hour shift
Work Location: Remote
