เงื่อนไขการค้นหา

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

TensorFlow, Python, Cloud Computing

ประเภทงาน:

งานประจำ

• Serve as the Subject Matter Expert (SME) in AI and machine learning.
• Stay up to date on the latest AI advancements and integrate best practices into PwC's digital strategy.
• Provide thought leadership and insights on emerging AI trends and technologies..
• Solution s architecture.
• Design and create AI-driven solutions tailored to the needs of various lines of service.
• De sign high-level solutions, including system architecture, data flow and integration points.
• Collaborate with technical teams to ensure architectural alignment and adherence to best practices..
• Digital asset development.
• Lead the development and deployment of AI-based digital assets that enhance service delivery for clients.
• Ensure digital assets are scalable, secure and maintainable.
• Oversee the full lifecycle of digital assets from ideation to deployment, and ongoing support..
• Team management.
• Manage, mentor and develop a team of AI and ML professionals.
• Foster a collaborative and innovative team environment that encourages continuous learning and growth.
• Conduct regular performance reviews and provide constructive feedback to team members..
• Client engagement.
• Work closely with client-facing teams to understand client needs and translate them into AI solutions.
• Participate in client meetings and presentations to demonstrate AI capabilities and solutions.
• Provide technical guidance and support during client engagements..
• Collaboration and communication.
• Collaborate with cross-functional teams, including data scientists, engineers and business analysts.
• Communicate complex AI concepts clearly to non-technical stakeholders.
• Foster a culture of continuous learning and innovation within the digital team..
• Project management.
• Manage multiple AI projects simultaneously, ensuring timely delivery and quality.
• Define project scope s, objectives and deliverables in alignment with business goals.
• Monitor project progress and provide regular updates to stakeholders..
• Bachelor s or Master s degree in Computer Science, M athematics, Data Science, Engineering or a related field.
• Minimum of seven years experience in AI or ML development and solution s architecture.
• Proven track record in designing and deploying AI solutions in a business environment.
• Minimum of three years experience in a managerial or team leadership role.
• Experience working with cross-functional teams and managing complex projects.
• E xperience in a consulting environment is advantageous..
• Technical skills.
• Strong foundation in AI concepts and generative AI techniques such as GANs and VAEs.
• Pr actical experience with machine learning frameworks such as TensorFlow and PyTorch.
• Strong programming skills in languages such as Python and R.
• Knowledge of data processing and analysis, natural language processing and computer vision.
• U nderstanding of cloud computing and big data technologies..
• Soft skills.
• Excellent problem-solving and analytical skills.
• Strong communication and presentation skills.
• Ability to work effectively in a team.
• High ly adaptable with a continuous learning mindset.
• Education (if blank, degree and/or field of study not specified).
• Degrees/Field of Study required: Degrees/Field of Study preferred:Certifications (if blank, certifications not specified).
• Required Skills.
• Optional Skills.
• Desired Languages (If blank, desired languages not specified).
• Travel Requirements.
• Available for Work Visa Sponsorship?.
• Government Clearance Required?.
• Job Posting End Date.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Research, Python, SQL

ประเภทงาน:

งานประจำ

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.