Job vacancy Algorithms director


Announced
25 July, 2023
Job Type
Employee
Job Status
Full Time
Job Title

Algorithms director

Job Location
Job Presentation
COMPANY OVERVIEW
A tech company aiming to improve people’s everyday experience.

JOB RESPONSIBILITIES
  • Spearhead the exploration, creation, and implementation of state-of-the-art machine learning algorithms and models.
  • Collaborate with data scientists, engineers, and other stakeholders to devise and enhance algorithms that tackle intricate business challenges.
  • Ensure the precision, efficiency, and scalability of the developed models.
  • Drive the formulation of data-driven insights and solutions using machine learning techniques.
  • Collaborate with data engineering teams to access, refine, and transform data for analysis.
  • Apply statistical modeling and employ cutting-edge methodologies to extract meaningful insights.
  • Oversee the deployment and integration of machine learning models into operational systems.
  • Collaborate with engineering teams to ensure sturdy and scalable implementation.
  • Establish monitoring mechanisms to track model performance, identify anomalies, and initiate necessary improvements or updates.
  • Assemble and lead a team of machine learning experts, providing mentorship and guidance to ensure successful project execution.
  • Cultivate a culture of innovation, collaboration, and continuous learning within the team.
  • Define team objectives, delegate responsibilities, and conduct regular feedback and performance evaluations.
  • Remain up-to-date on industry trends, research publications, and advancements in machine learning and artificial intelligence.
  • Participate in conferences, workshops, and networking events to promote knowledge sharing and stay abreast of emerging technologies and best practices.
  • Present timely, accurate, and comprehensive reports regarding job-related information to the Board of Directors on a regular or ad-hoc basis.
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JOB REQUIREMENTS
  • Degree in a related domain.
  • Advanced degree (Ph.D. preferred) in computer science, data science, machine learning, or a related field.
  • Demonstrated expertise in guiding machine learning projects, preferably in a leadership capacity.
  • In-depth comprehension of various machine learning algorithms, techniques, and frameworks.
  • Proficiency in coding languages like Python, R, or Java, and familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Sound knowledge of statistical analysis, experimental design, and evaluation metrics for machine learning models.
  • Shown capability to lead and mentor a team of machine learning professionals.
  • Excellent communication skills, adept at effectively conveying intricate concepts to both technical and non-technical stakeholders.
  • Robust problem-solving and critical thinking abilities, emphasizing practical and scalable solutions.
  • Established record of delivering impactful machine learning solutions that foster business outcomes.
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BENEFITS
  • Involvement in a Vietnamese product with the potential to dominate the global market.
  • Chance to acquire knowledge and progress, the possibility to collaborate with a promising company.
  • Transparent performance evaluation policy, recognition, and career advancement opportunities.
  • Complete salary during the probationary period.
  • Complimentary lunch at the office, free motorbike parking.
  • Paid leave: 12 days off per year.
  • Engaging activities: Teambuilding, joyful lunches, happy hour, and various captivating cultural events.
  • Healthcare benefits: Yearly health check-up.
  • Insurance coverage: Social insurance, health insurance.
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Apply online or feel free to contact me directly for more information about this opportunity. Due to the high volume of applicants, we regret to inform that only shortlisted candidates will be notified. Thank you for your understanding.
 
#LI-JACVN
#cityhanoi
Valid Till
23 Jul, 2024 (26 days left)

JOB BY
JAC Recruitment Vietnam
19th Floor, Ruby Tower 81-83-83B-85 Ham Nghi District 1, Ho Chi Minh City
  +84 28 3821 7730

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