Hiring || Generative AI (GenAI) || McLean VA (Onsite)

Hey Partners

Hope you are doing well!!

This is Rajat and I represent LanceSoft ,a leading IT staffing organization. I am part of a team responsible for servicing the major clients of ours those are the world leaders in providing their specific services/solutions.

Position: Generative AI (GenAI)

Location: McLean VA (Onsite)

Job description:

Key Responsibilities:

• Designing and Developing Generative AI Models: This involves creating and fine-tuning algorithms for generating new content, using techniques like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer-based models.
• Optimizing Model Performance: This includes improving model efficiency, scalability, and accuracy Collaborating with Cross-Functional Teams: Working with product managers, engineers, and other stakeholders to define project goals, requirements, and solutions.
• Developing and Maintaining Documentation:
• Creating clear and concise documentation for models, processes, and results.
• Communicating Complex Concepts:
• Explaining technical details to both technical and non-technical audiences.
• Providing Support and Guidance:
• Mentoring junior team members and offering expertise on generative AI.
• Integrating AI Solutions: Implementing and integrating generative AI solutions into existing systems and workflows.
• Data Preprocessing and Analysis: Working with large datasets, including tasks like data cleaning, feature extraction, and data analysis.

Skills and Knowledge:

• Strong Foundation in Computer Science: A degree or equivalent experience in computer science, AI, machine learning, or a related field is usually required.
• Programming Proficiency:
• Fluency in programming languages like Python is essential, along with knowledge of data structures and algorithms.
• Machine Learning and Deep Learning: Expertise in machine learning principles, deep learning techniques, and relevant frameworks like TensorFlow or PyTorch.
• Generative AI Expertise: Deep understanding of GANs, VAEs, and transformer-based models.

Natural Language Processing (NLP): Experience with NLP techniques and tools can be beneficial, especially for text-based generative AI models.