Machine Learning Engineer

Passionbits; Bengaluru; On-site; INR 600,000 - 1,000,000; Full time

Job summary

A dynamic video ad tech company in Bengaluru is seeking a passionate Deep Learning Engineer. The role offers an opportunity to work on advanced AI models for video ad creation. Responsibilities include model development, data processing, and collaborating with engineering teams. Candidates should have strong knowledge of deep learning frameworks and programming languages like Python. This full-time position is ideal for entry-level professionals.

Qualifications

• Strong understanding of deep learning concepts and frameworks.
• Proficiency in programming languages such as Python.
• Familiarity with computer vision techniques.

Responsibilities

• Assist in designing, developing, and improving deep learning models.
• Conduct research on advancements in deep learning.
• Analyze and preprocess large datasets for training.

Skills

tensorflow

deep learning

pytorch

python

GANs

video processing

Job description

Passionbits — a synthetic video ad engine that allows fashion and lifestyle brands to choose creators, scripts, wardrobes, and more to get custom videos made for their socials and ads.

Community of 3000+ creators & studios, powering on-demand video content for enterprise marketers. Helping creators monetise their on/behind camera skills, instead of their audience - to help add passive earnings.

Role Description: We are seeking a passionate and talented Deep Learning Engineer to join our dynamic team. This role offers a unique opportunity to work on cutting-edge AI models that drive our video ad creation and optimization platform.

Responsibilities

• Model Development: Assist in designing, developing, and improving deep learning models for video generation and dynamic visual content creation.
• Research & Innovation: Conduct research on the latest advancements in deep learning and apply relevant techniques to enhance our platform.
• Data Processing: Analyze and preprocess large datasets to train and validate models, ensuring high-quality outputs.
• Integration: Collaborate with the engineering team to integrate AI models seamlessly into our existing systems.
• Optimization: Optimize model performance and scalability to ensure efficient deployment and real-time processing.
• Collaboration: Participate in brainstorming sessions to develop new features and enhancements for the platform.
• Documentation: Document your work and present findings to the team, ensuring clear communication of technical concepts.

Technical Skills

• Strong understanding of deep learning concepts and frameworks (e.g., TensorFlow, PyTorch).
• Proficiency in programming languages such as Python.
• Familiarity with computer vision techniques and video processing.

Soft Skills

• Excellent problem-solving skills and attention to detail.
• Ability to work independently and as part of a collaborative team.
• Strong communication skills, both written and verbal.

Preferred Experience

• Experience with generative models (e.g., GANs, VAEs).
• Knowledge of video editing and processing tools.
• Previous internship or project experience in deep learning or AI development.

Skills: tensorflow, concepts, models, processing, deep learning, gans, pytorch, python

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Engineering and Information Technology
• Industries: Internet Publishing

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