LHH ยท 17 hours ago
Artificial Intelligence Engineer
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Responsibilities
Gather relevant data from multiple sources, including databases, online platforms, and internal systems, necessary for training AI models.
Process raw data to make it suitable for machine learning, which includes cleaning, normalizing, and segmenting the data.
Develop machine learning models using suitable algorithms and techniques to address specific business problems or enhance application capabilities.
Thoroughly test AI models to ensure their accuracy, reliability, and robustness, and validate them against predefined metrics.
Integrate AI models into existing software applications seamlessly, using API calls or embedded code for smooth functionality.
Continuously optimize AI systems for better speed, efficiency, and accuracy, ensuring they meet the required performance standards.
Identify and resolve bugs or issues in AI models and their integration into applications, ensuring smooth operation.
Stay updated with the latest advancements in AI, machine learning, and related technologies to incorporate cutting-edge solutions.
Collaborate with other professionals, including AI Engineers, data scientists, software developers, and project managers, to achieve cohesive project goals.
Create detailed documentation for AI systems and their architectures, aiding in maintenance, updates, and knowledge transfer.
Utilize AI to improve the user interface and experience of applications, making them more intuitive and responsive.
Adhere to ethical guidelines and standards in AI development, ensuring fairness, privacy, and transparency.
Conduct in-depth analysis of AI systems' performance, identifying areas for improvement and optimization.
Utilize cloud computing platforms for efficient AI model development, testing, and deployment.
Incorporate user and stakeholder feedback into AI system development to continuously improve its effectiveness and usability.
Serve as a bridge between technical and non-technical teams, facilitating the integration of AI into various business processes and ensuring alignment with business objectives.
Partner with key stakeholders, including business unit leaders, Product, Data & Technology teams, to assist with their AI-related technical issues.
Contribute to the team of AI professionals by using expertise to answer questions and sharing repeatable design patterns with less experienced teammates, enhancing skillsets and competencies of team members, and sharing technical knowledge throughout the team.
Participate in stakeholder reviews and design sessions.
Provide data, reports, and information to management as needed.
Drive strong communications, partnerships, and stakeholder management with senior leaders, functional managers, and staff.
Perform other duties as assigned.
Qualification
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Required
Bachelor's or Master's Degree directly related to the position or equivalent, required. Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
Advanced knowledge and experience working with Python.
Proficiency in other programming languages such as Java, R, or Scala.
Experience with machine learning frameworks like TensorFlow, Keras, PyTorch, or similar.
Strong understanding of algorithms and data structures.
Knowledge of AI principles and technologies, including neural networks, NLP, and computer vision.
Experience working with cloud cognitive services in Azure, AWS, Google, etc.
Problem solver with an ability to work as a team towards a solution.
Ability to prioritize multiple tasks in a deadline-driven environment, strong sense of urgency and responsiveness.
Strong detail orientation and highly organized with proven ability to lead effectively and drive results in a matrixed management environment.
Ability to think critically, including the ability to evaluate facts and data to draw conclusions, determine the downstream impact of decisions and associated risks.
Benefits
Medical
Dental
Vision
Life insurance
AD&D
LTD
401(k) with employer match
Company
LHH
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H1B Sponsorship
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Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2022 (1)
2020 (1)
Funding
Current Stage
Late StageCompany data provided by crunchbase