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23 Mindfire Solutions Jobs
AI/ML Engineer
Mindfire Solutions
posted 3+ weeks ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Develop, validate, and implement machine learning models and algorithms.
- Collaborate with data scientists and other stakeholders to understand and define project goals.
- Maintain data infrastructure and ensure scalability and efficiency of data-related operations.
- Stay abreast of the latest developments in the field of AI/Client and recommend ways to implement them in our operations.
- Communicate complex data findings in a clear and understandable manner to non-technical stakeholders.
- Adhere to data privacy and security guidelines.
- Participate in the entire AI project lifecycle, from concept to deployment and maintenance.
- Strong grasp of computer architecture, data structures, system software, and machine learning fundamentals.
- Solid theoretical understanding of machine learning.
- Experience with mapping NLP models (BERT and GPT) to accelerators and awareness of trade-offs across memory, bandwidth, and compute.
- Experience with ML Models from definition to deployment, including training, quantization, sparsity, model preprocessing, and deployment.
- Proficiency in Python development in a Linux environment and using standard development tools.
- Experience with deep learning frameworks (such as PyTorch, Tensorflow, Keras, Spark).
- Working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs).
- Experience in training, tuning, and deploying ML models for Computer Vision (e.g., ResNet), and/or Recommendation Systems (e.g., DLRM).
- Experience deploying ML workloads on distributed systems.
- Self-motivated team player with a strong sense of ownership and leadership.
- Strong verbal, written, and organizational skills for effective communication and documentation.
- Research background with a publication record.
- Work experience at a cloud provider or AI compute/sub-system company.
- Knowledge of cloud computing platforms and services, such as AWS, Azure, or Google Cloud.
Employment Type: Full Time, Permanent
Read full job description
What people at Mindfire Solutions are saying
Ai Ml Engineer salary at Mindfire Solutions
reported by
2
employees
with 3-4
years exp.
₹11.5
L/yr - ₹14.7
L/yr
30%
less
than the average Ai Ml Engineer Salary in India
View more details
What Mindfire Solutions employees are saying about work life
based on 262 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Mindfire Solutions Benefits
View more benefits
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