Director of Applied AI and Data Science
Company: Request Technology, LLC
Location: Chicago
Posted on: May 7, 2024
Job Description:
*We are unable to sponsor for this permanent Full time
role**Position is bonus eligible*Prestigious Global Firm is
currently seeking a Director of Applied AI and Data Science.
Candidate will orchestrate a new era of innovation and impact at
the crossroads of technology and law. Candidate will not only drive
advancements in AI but also help shape the future of legal services
to maximize impact for our clients. This position offers the rare
opportunity to blend technical prowess with strategic foresight,
making a tangible difference in our firm and the industry at
large.Responsibilities:
- Lead and expand the strategic vision for deploying AI and
advanced analytics within our firm, translating cutting-edge
technology into practical, impactful legal solutions.
- Champion the identification, assessment, and prioritization of
AI/advanced analytics use cases to revolutionize both our legal
practices and business operations.
- Cultivate a high-caliber, cross-functional team of data
scientists and responsible AI specialists, fostering a culture of
excellence, innovation, and ethical AI.
- Drive collaboration across a diverse set of stakeholders
through a unique hub and spoke model, ensuring the alignment of
technology initiatives with business objectives.
- Oversee the development and implementation of proof-of-concepts
and AI model deployment, ensuring seamless integration and value
creation within our legal framework.
- Be the vanguard for a culture of continuous learning and
knowledge exchange within the AI and Data Science Center of
Excellence (COE), promoting cross-team collaboration and
innovation.
- Offer strategic insights and leadership on the long-term
implications, risks, and ethical considerations of AI and advanced
analytics in the legal sector.Qualifications:
- Bachelor's degree in a relevant field is required, and an
advanced degree or relevant certifications are highly
preferred.
- Minimum of 10 years of relevant experience in AI, data science,
or related fields, with a proven track record in professional
services industries.
- Exceptional leadership skills, with experience in building,
mentoring, and guiding high-performing, diverse teams of data
scientists and AI professionals.
- Demonstrated success in developing and deploying AI-driven
solutions and models, particularly within the legal or professional
services sectors.
- Profound understanding of AI and advanced analytics
technologies, coupled with the ability to discern their feasibility
and long-term impact within the legal context.
- Exemplary communication and stakeholder management skills,
adept at engaging with leadership and key stakeholders to drive
consensus and action.
- A pioneering spirit, driven by a passion to enact change and
deliver results in the legal field, balanced with a deep
understanding of the associated long-term risks and ethical
considerations.Technologies:
- AI/ML Frameworks and Tools:
- Expertise in popular machine learning libraries such as
TensorFlow, PyTorch, and Keras.
- Proficient in using AI/ML platforms like Google AI Platform,
AWS SageMaker, or Azure Machine Learning for model development and
deployment.
- Data Analytics and Big Data Technologies:
- Proficient in big data technologies such as Hadoop, Spark, and
Kafka for handling large datasets.
- Experience with data visualization tools like Tableau, Power
BI, or Qlik for deriving actionable insights from data.
- Programming Languages:
- Strong proficiency in programming languages such as Python, R,
and SQL, crucial for data manipulation and algorithm
development.
- Familiarity with Java or Scala can be advantageous for
integration with enterprise systems.
- Cloud Computing Platforms:
- In-depth knowledge of cloud computing environments such as AWS,
Azure, or Google Cloud Platform, particularly their AI and data
analytics services.
- Database Management:
- Experience with database management and querying tools,
including traditional SQL databases (e.g., MySQL, PostgreSQL) and
NoSQL databases (e.g., MongoDB, Cassandra).
- DevOps and MLOps:
- Familiarity with DevOps practices and tools (e.g., Jenkins,
Docker, Kubernetes) for efficient deployment of AI solutions.
- Understanding of MLOps principles to streamline the machine
learning lifecycle from experimentation to production.
- Legal-Tech Software:
- Exposure to legal-tech software and platforms is beneficial, as
it provides contextual understanding crucial for application in the
legal domain.
- Security and Compliance Tools:
- Knowledge of security protocols and compliance standards
relevant to data privacy and AI ethics, especially in the legal
sector.
- Collaboration and Project Management Tools:
- Proficiency in using project management and collaboration tools
(e.g., JIRA, Asana, Trello) to manage AI/ML projects
efficiently.
- Emerging Technologies:
- Keen interest and understanding of emerging technologies in AI,
such as natural language processing, computer vision, and
predictive analytics, to stay ahead in the field.
Keywords: Request Technology, LLC, Elgin , Director of Applied AI and Data Science, Executive , Chicago, Illinois
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