Generative AI Engineer

Job Title: Generative AI Engineer
Location: Washington, Massachusetts
Duration: Subcon / Fulltime

Key Responsibilities:

• Develop and implement generative Al models and algorithms, providing use case and AI based solutions for existing applications.
• Collaborate with cross functional teams to integrate AI solutions into products and services.
• Conduct research to advance the state of the art in generative AI.
• Analyze and interpret complex data to derive actionable insights.
• Optimize and fine tune Al models for performance and scalability.
• Stay updated with the latest advancements in AI and machine learning.
• Develop and maintain real time AI based document generation systems.
• Implement AI based search functionalities to enhance information retrieval.

Required Skills:
Machine Learning: Proficiency in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).

Deep Learning: Experience with deep learning techniques, including neural networks, GANS (Generative Adversarial Networks), and VAEs (Variational Autoencoders).

Programming Languages: Strong programming skills in Python, R, or similar languages.
Data Analysis: Expertise in data preprocessing, analysis, and visualization. 
Research: Ability to conduct independent research and stay abreast of the latest AI research papers and trends.
Problem Solving: Strong analytical and problem-solving skills.
Communication: Excellent verbal and written communication skills to convey complex technical concepts to non technical stakeholders
Real-Time Systems: Experience in developing and deploying real-time AI applications
Document Generation: Proficiency in creating AI models for automated document generation.
AI-Based Search: Expertise in implementing AI-based search algorithms and enhancing search functionalities.

Preferred Qualifications:

Experience: Proven experience in developing and deploying generative Al models in a production environment, along with good knowledge in Azure AI.

Tools: Familiarity with Al development tools and platforms (e.g., Jupyter, Colab, AWS SageMaker)
Collaboration: Experience working in collaborative, interdisciplinary teams.
Real-Time Project Experience: Demonstrated experience in handling real-time AI projects, particularly in document generation and AI-based search.

Soft Skills:
Creativity: Ability to think creatively and develop innovative AI solutions.
Adaptability: Willingness to learn and adapt to new technologies and methodologies.
Team Player: Strong interpersonal skills and the ability to work effectively in a team environment.

Employment type:

Experience: