Overview:
We are looking for seasoned AI Tech Lead to work with our team and our clients to develop enterprise grade predictive and generative AI solutions, applications, pipelines, visualizations, and more! The AI Tech Lead needs to be a technologist with excellent communication and customer service skills and a passion for data and problem solving. This role spans the spectrum of data science development work.
Responsibilities:
* Lead and mentor a team of developers working on cutting-edge predictive and generative AI solutions.
* Architect and oversee the development of scalable AI/ML systems, ensuring best practices in software engineering and AI ethics.
* Drive the adoption of AI technologies across the organization, collaborating with cross-functional teams to identify and implement AI-driven solutions.
* Design and implement end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring.
* Establish and enforce best practices for AI development, including version control, testing, and documentation.
* Oversee the integration of AI models into production environments, ensuring seamless deployment and optimal performance.
* Collaborate with data scientists to translate complex algorithms into efficient, production-ready code.
* Implement and maintain robust MLOps practices to streamline the AI development lifecycle.
* Stay abreast of the latest advancements in AI/ML technologies and evaluate their potential application for our clients.
* Ensure compliance with data privacy regulations and ethical AI guidelines throughout the development process.
* You will contribute to the growth of our AI & Data Exploitation Practice!
Qualifications:
* Ability to hold a position of public trust with the US government.
* Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
* 5+ years of experience in software engineering, focused on AI/ML development.
* Proven track record of leading and mentoring teams of developers in AI projects.
* Strong programming skills in Python, with experience in AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
* Extensive knowledge of machine learning algorithms, deep learning architectures, and natural language processing techniques.
* Proficiency in cloud platforms (AWS, Azure, or GCP) and experience with deploying AI solutions at scale.
* Solid understanding of DevSecOps principles and experience implementing CI/CD pipelines for AI projects.
* Familiarity with big data technologies such as Hadoop, Spark, and distributed computing concepts.
* Experience with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).
* Strong understanding of data structures, algorithms, and software design patterns.
* Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
* Demonstrated ability to balance technical leadership with hands-on development when needed.
* Experience with agile methodologies and project management tools.
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