Senior Deep Learning Engineer
- Uplers
- 4 - 6 years
- Bengaluru
- 3 months ago
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Job Description
Senior Deep Learning EngineerExperience: 4 - 6 Years Exp
Salary : Upto USD 80,000 / year
Preferred Notice Period: Within 30 Days
Shift: 10:00AM to 7:00PM IST
Opportunity Type: Onsite (Bengaluru)
Placement Type: Contractual
Contract Duration: Full-Time, 12 Months(*Note: This is a requirement for one of Uplers' Clients)Must have skills required :
Pytorch, TensorFlow, AWS, Docker, Python
Good to have skills :
Generative Models, jax, Reinforcement Learning, Scikit-learn, NLP(One of Uplers' Clients) is Looking for:
Backend Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description
Senior Deep Learning Engineer
Job Summary:
We are seeking a highly skilled and experienced Senior Deep Learning Engineer to join our team. This individual will lead the design, development, and deployment of cutting-edge deep learning models and systems. The ideal candidate is passionate about leveraging state-of-the-art machine learning techniques to solve complex real-world problems, thrives in a collaborative environment, and has a proven track record of delivering impactful AI solutions.Key Responsibilities:
Model Development and Optimization:
Design, train, and deploy advanced deep learning models for various applications such as computer vision, natural language processing, speech recognition, and recommendation systems.
Optimize models for performance, scalability, and efficiency on various hardware platforms (e.g., GPUs, TPUs).
Research and Innovation:
Stay updated with the latest advancements in deep learning, AI, and related technologies.
Develop novel architectures and techniques to push the boundaries of whats possible in AI applications.
System Design and Deployment:
Architect and implement scalable and reliable machine learning pipelines for training and inference.
Collaborate with software and DevOps engineers to deploy models into production environments.
Collaboration and Leadership:
Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to define project goals and deliverables.
Provide mentorship and technical guidance to junior team members and peers.
Data Management:
Collaborate with data engineering teams to preprocess, clean, and augment large datasets.
Develop tools and processes for efficient data handling and annotation.
Performance Evaluation:
Define and monitor key performance metrics (KPIs) to evaluate model performance and impact.
Conduct rigorous A/B testing and error analysis to continuously improve model outputs.Qualifications and Skills:
Education:
Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field. PhD preferred.Experience:
5+ years of experience in developing and deploying deep learning models.
Proven track record of delivering AI-driven products or research with measurable impact.Technical Skills:
Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
Strong programming skills in Python, with experience in libraries like NumPy, Pandas, and Scikit-learn.
Familiarity with distributed computing frameworks such as Spark or Dask.
Hands-on experience with cloud platforms (AWS or GCP) and containerization tools (Docker, Kubernetes).
Domain Expertise:
Experience with at least one specialized domain, such as computer vision, NLP, or time-series analysis.
Familiarity with reinforcement learning, generative models, or other advanced AI techniques is a plus.Soft Skills:
Strong problem-solving skills and the ability to work independently.
Excellent communication and collaboration abilities.
Commitment to fostering a culture of innovation and excellence.How to apply for this opportunity:
Easy 3-Step Process:
1. Click On Apply! And Register or log in on our portal
2. Upload updated Resume & Complete the Screening Form
3. Increase your chances to get shortlisted & meet the client for the Interview!About Our Client:
Loti AI is a technology company specializing in digital likeness protection, particularly against unauthorized use of individuals' images, voices, and identities online. Their business model centers on providing AI-driven services to detect, monitor, and remove unauthorized content, such as deepfakes and impersonations, across the internet.About Uplers:
Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.(Note: There are many more opportunities apart from this on the portal.)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!
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: UplersLocation(s): Bengaluru
Keyskills: Pytorch Generative Models AWS TensorFlow jax NLP Docker Reinforcement Learning Scikit-learn Deep Learning Python
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