Data Scientist, Machine Learning (Computer Vision)(Remote)
Company: Tiger Analytics
Location: Dallas
Posted on: June 25, 2022
Job Description:
DescriptionTiger Analytics is looking for experienced Data
Scientists to join our fast-growing advanced analytics consulting
firm. Our employees bring deep expertise in Data Science, Machine
Learning and AI. We are the trusted analytics partner for multiple
Fortune 500 companies, enabling them to generate business value
from data. Our business value and leadership has been recognized by
various market research firms, including Forrester and Gartner. We
are looking for top-notch talent as we continue to build the best
global analytics consulting team in the world.Are you excited about
solving real-world computer vision problems that involve millions
of smart cameras from mobile devices? Are you interested in
developing and advancing state-of-the-art computer vision and deep
learning algorithms? This team is responsible for building large
scale machine learning models for 2D/3D scene understanding, object
detection, and activity recognition (e.g. delivery detection).Key
Responsibilities
- Collaborate with business partners to develop innovative
solutions to meet objectives utilizing cutting edge techniques and
tools.
- Effectively communicate the analytics approach and how it will
meet and address objectives to business partners.
- Advocate and educate on the value of data-driven decision
making; focus on the "how and why" of solutioning.
- Lead analytic approaches; integrate solutions collaboratively
into applications and tools with data engineers, business leads,
analysts and developers.
- Research and develop analysis methods that extend the Media
Analysis Framework, including video/image/audio processing and
machine learning methods, to extract meaning and produce
timestamped metadata from video content.
- Develop and test software components that implement your
analysis methods for integration into production systems. Work
closely with other researchers and engineers to fit components into
well-established workflows and systems.
- Lead research in one or more of the following areas: Deep
Learning, Computer Vision, and Video Analytics.
- Work with other Technical Leads, Product Managers and Business
Partners to lead development of prototypes that demonstrate
Research work, help with Product Discovery and integrate research
output into engineering code base.
- Work with other researchers, engineers, product managers, and
business partners to rapidly prototype algorithms for
proof-of-concept demonstrations.
- Collaborate closely with team members within and outside of
research to advance the capabilities of the MAF system and to
further the team's collective knowledge.
- Keeps track of developments in field both in academia and in
industry. Attending relevant conferences and publishing research
results is encouraged.
- Use data science and machine learning methods to bootstrap new
functionalities.
- Engineer features by using your business acumen to find new
ways to combine disparate internal and external data sources.
- Share your passion for Data Science with the broader enterprise
community; identify and develop long-term processes, frameworks,
tools, methods and standards.
- Collaborate, coach, and learn with a growing team of
experienced Data Scientists.
- Stay connected with external sources of ideas through
conferences and community engagements.Requirements
- Master's degree in computer science, computer engineering,
electrical engineering, mathematics, or a related technical
discipline; PhD degree or equivalent industry experience is
preferred.
- 4+ years of Data Science and Machine Learning experience
required.
- Strong programming and software development skills, and
familiarity with Python, and deep learning frameworks (Keras,
Tensorflow, PyTorch, Caffe).
- Practical and educational experience in machine learning and
computer vision is expected. Experience with nearest neighbor
search, vector databases, image matching, and image retrieval is
strongly desired.
- Proficiency with Machine Learning concepts and modeling
techniques to solve problems such as clustering, classification,
regression, anomaly detection, simulation and optimization problems
on large scale data sets.
- Experience with AWS is a plus.
- Exceptional communication and collaboration skills to
understand business partner needs and deliver solutions.
- Bias for action, with the ability to deliver outstanding
results through task prioritization and time management.
- Experience in signal processing, video encoding and analysis,
and/or deep learning isalso beneficial. Familiarity and experience
with image processing and deep learning frameworks and tools, such
as OpenCV, Keras, TensorFlow, PyTorch, or Caffe, is a
plus.BenefitsThis position offers an excellent opportunity for
significant career development in a fast-growing and challenging
entrepreneurial environment with a high degree of individual
responsibility.
Keywords: Tiger Analytics, Dallas , Data Scientist, Machine Learning (Computer Vision)(Remote), IT / Software / Systems , Dallas, Texas
Didn't find what you're looking for? Search again!
Loading more jobs...