Senior Genai Developer

Job Title: Senior GenAI Developer

Locations: Irving, TX (Hybrid)

Duration: Long Term

Need Independent Resources

Description:

Responsibilities

• Design, development, and deployment of generative AI models and solutions.

• Collaborate with cross-functional teams to identify and prioritize AI-driven opportunities.

• Provide expertise in AI model training, fine-tuning, and optimization.

• Fine tune open source models and/or build telecom specific Generative AI models

• Develop and implement best practices for AI model development and deployment.

• Stay up-to-date with the latest advancements in generative AI and related fields and make recommendations for improvements

• Mentor and guide junior team members in AI-related projects.

• Ensure AI solutions meet business requirements and performance standards.

• Conduct research and experiments to explore new AI techniques and methodologies.

• Communicate complex AI concepts to non-technical stakeholders effectively.

• Collaborate with cross-disciplinary teams - developers, other data scientist, data analysts, business

• Monitor and correlate inputs and outputs, establish meaningful metrics

• Lead and act as a technical liaison between business, executives and data science teams to deliver POC's / pilot on need basis.

Requirements

• Master's degree in Data science, Computer Science, Artificial Intelligence, Machine Learning, or a related field

• Experience in data science , with a focus on generative AI technology/data science

• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python)

• Telecommunication domain experience

• Ability to work independently and as part of a team in a fast-paced environment

• Hands on fine tuning AI models (SBERT, ScaNN, PaLM, ChatGPT, LLM)

• Strong background in Natural Language Processing, including experience with text representation, language modelling, sequence-to-sequence architectures, and semantic understanding

• Technical skills : Data science, Python, Javascript, MongoDB, AWS/GCP, API Programming, vertex.ai

• Strong expertise in generative AI techniques, including but not limited to:

o Generative Adversarial Networks (GANs)

o Variational Autoencoders (VAEs)

o Transformer models (e.g., GPT-3, GPT-4)

o Diffusion Models

• Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, Keras, etc.

• Solid understanding of deep learning concepts and neural network architectures.

• Experience with large-scale model training and optimization.

• Familiarity with natural language processing (NLP) and computer vision applications.

Programming and Tools:

o Proficiency in programming languages such as Python, R, or Java.

o Experience with data processing and analysis using tools like Pandas, NumPy, and scikit-learn.

o Knowledge of cloud platforms and services (e.g., AWS, Google Cloud, Azure) for AI model deployment.

o Experience with version control systems (e.g., Git).

• Strong analytical and problem-solving skills with the ability to develop creative and efficient solutions.

• Ability to work with large datasets and perform data preprocessing, augmentation, and transformation.

• Excellent written and verbal communication skills.

Preferred Qualifications:

• Publications or contributions to the AI community through research papers, open-source projects, or conference presentations.

• Experience with AI ethics and responsible AI practices.

• Familiarity with MLOps and continuous integration/continuous deployment (CI/CD) for AI projects.