Experience: 10.00 + years
Salary: Confidential (based on experience)
Expected Notice Period: 15 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Remote
(*Note: This is a requirement for one of Uplers" client - warmstealth.xyz)
What do you need for this opportunity
Primary Skills:
Distributed Computing, Parallel processing, Computer Vision, Deep Learning, Keras, Natural Language Processing (NLP), neural network architectures, Pytorch, TensorFlow, C++, Hadoop, Java, Problem Solving Attitude, Python
warmstealth.xyz is Looking for:
Principal Deep Learning Engineer
We are seeking a highly skilled and experienced Principal Deep Learning Engineer to join our talented team. As a Principal Deep Learning Engineer, you will play a pivotal role in developing and implementing advanced deep learning algorithms and models to solve complex problems. across various domains. You will work closely with cross-functional teams to design, build, and deploy scalable AI solutions that push the boundaries of innovation.
Responsibilities:
Lead the research, development, and implementation of cutting-edge deep learning algorithms and models.
Design and optimize neural network architectures for various applications, including computer vision, natural language processing, and recommendation systems.
Collaborate with data scientists, software engineers, and domain experts to understand requirements and translate them into technical solutions.
Conduct thorough experimentation and analysis to evaluate model performance and iterate on improvements.
Stay abreast of the latest advancements in deep learning research and integrate them into our technology stack.
Provide technical guidance and mentorship to junior members of the team.
Contribute to the company's intellectual property through patent filings and publications.
Qualifications:
Advanced degree (Ph.D. preferred) in Computer Science, Electrical Engineering, Mathematics, or related field.
10 years of experience in deep learning research and development, with a proven track record of delivering successful AI solutions.
Expertise in machine learning frameworks such as TensorFlow, PyTorch, or Keras.
Proficiency in programming languages such as Python, C++, or Java.
Strong understanding of computer vision, natural language processing, and/or reinforcement learning.
Experience with distributed computing and parallel processing frameworks (e.g., Spark, Hadoop) is a plus.
Excellent problem-solving skills and a passion for tackling complex technical challenges.
Strong communication skills with the ability to articulate ideas and collaborate effectively with cross-functional teams.
Engagement Type:
Job Type: Permanent
Location: Remote
Working time: 3:00 PM - 12:00 AM IST
How to apply for this opportunity
Register or login on our portal & fill out the application form.
Clear the given Video Screening (30 min) and Click on "Apply" to get shortlisted
Once it's all done, your profile will be shared with the client for the Interview round.
When selected, just meet the client and get your exciting career started!
About our Client - warmstealth.xyz:
The company's mission is to enable the next generation of high-performance, power-dense electronics and systems through their cutting-edge thermal management innovations. Warmstealth aims to be a leader in the growing market for advanced thermal solutions across various industries.
About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you,