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Senior ML Engineer & Applied Researcher
8-12 years
Noida, Bangalore / Bengaluru
1 vacancy
Senior ML Engineer & Applied Researcher
Adobe
posted 4hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Research, design, and implement advanced ML models and pipelines for training and inference at scale, including techniques in computer vision, NLP, deep learning, and generative AI.
- Integrate Large Language Models (LLMs) and agent-based frameworks to support multimodal creative workflows, enabling rich, context-aware content generation and dynamic user experiences.
- Collaborate with cross-functional teams to translate product requirements into ML solutions, iterating from proof-of-concept to fully productionized services within Adobe Express.
- Develop robust platforms for continuous model training, experimentation, A/B testing, and monitoring, ensuring that model quality and relevance remain consistently high.
- Leverage distributed computing technologies and cloud infrastructures to handle large-scale data processing, feature engineering, and real-time inference, optimizing for performance and cost-efficiency.
- Implement reliable APIs and microservices that serve ML models to end users, ensuring adherence to standard methodologies in security, compliance, scalability, and maintainability.
- Stay current with emerging ML research, tools, and frameworks, evaluating and integrating new technologies such as advanced LLMs, reinforcement learning-based agents, and innovative inference optimization techniques.
- In the near future, we will expand the model coverage to include more creative tasks. We will also improve the model architectures to achieve better latency and accuracy. Additionally, we will integrate federated learning or domain adaptation strategies to reach diverse audiences.
Special Skills Requirements:
- Proficiency in Python and Java for ML model development and systems integration.
- Hands-on experience with deep learning frameworks, including TensorFlow and PyTorch.
- Expertise in handling distributed training and large-scale inference platforms, including Spark, Hadoop, or Kubernetes.
- Demonstrated experience working with LLMs and agent frameworks to develop advanced AI-based experiences.
- Proficiency in computer vision and NLP techniques for multimodal content understanding and generation.
- Experience in developing and deploying RESTful web services and microservices architectures for applications involving ML.
- Proficiency with UNIX environments, Git for version control, and Jenkins for CI/CD processes.
Employment Type: Full Time, Permanent
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What people at Adobe are saying
ml engineer salary at Adobe
reported by
2
employees
with 1-5
years exp.
₹13.3
L/yr - ₹17
L/yr
55%
more
than the average ml engineer Salary in India
View more details
What Adobe employees are saying about work life
based on 1k employees
Flexible timing
Monday to Friday
No travel
Day Shift
Adobe Benefits
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Physical wellbeing Wellbeing reimbursement program Support in times of need Financial wellbeing Mental health care Emotional wellbeing
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Adobe Noida Office Locations
Noida Office
Adobe Systems (India) Pvt Ltd, A-05, Sector 132, Express Way
Noida
Uttar Pradesh 201304
Uttar Pradesh 201304
Noida Office
Adobe Systems India Pvt. Ltd, Vindhyachal Marg, Sector 25A
Noida
Uttar Pradesh 201301
Uttar Pradesh 201301
Senior ML Engineer & Applied Researcher
8-12 Yrs
Noida, Bangalore / Bengaluru
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