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1654 Soul AI Jobs
Machine Learning Engineer (Freelancer)
Soul AI
posted 1 week ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI).
We are looking for Indias top 1% Machine Learning Engineers for a unique job opportunity to work with the industry leaders.
Who can be a part of the community.
We are looking for top-tier Machine Learning Engineers with expertise in building, deploying, and optimizing AI models.
If you have experience in this field then this is your chance to collaborate with industry leaders.
Whats in it for you.
Pay above market standards.
The role is going to be contract based with project timelines from 2-6 months, or freelancing.
Be a part of Elite Community of professionals who can solve complex AI challenges.
Work location could be:.
Remote (Most likely).
Onsite on client location.
Deccan AIs OfficeHyderabad or Bangalore.
Responsibilities:.
Design, optimize, and deploy machine learning models; implement feature engineering and scaling pipelines.
Use deep learning frameworks (TensorFlow, PyTorch) and manage models in production (Docker, Kubernetes).
Automate workflows, ensure model versioning, logging, and real-time monitoring; comply with security and regulations.
Work with large-scale data, develop feature stores, and implement CI/CD pipelines for model retraining and performance tracking.
Required
Skills:.
Proficiency in machine learning, deep learning, and data engineering (Spark, Kafka).
Expertise in MLOps, automation tools (Docker, Kubernetes, Kubeflow, MLflow, TFX), and cloud platforms (AWS, GCP, Azure).
Strong knowledge of model deployment, monitoring, security, compliance, and responsible AI practices.
Nice to Have:.
Experience with A/B testing, Bayesian optimization, and hyperparameter tuning.
Familiarity with multi-cloud ML deployments and generative AI technologies (LLM fine-tuning, FAISS).
What are the next steps.
Register on our Soul AI website.
Our team will review your profile.
Clear all the screening roundsClear the assessments once you are shortlisted.
Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project.
Skip the Noise.
Focus on Opportunities Built for You!.
We are looking for Indias top 1% Machine Learning Engineers for a unique job opportunity to work with the industry leaders.
Who can be a part of the community.
We are looking for top-tier Machine Learning Engineers with expertise in building, deploying, and optimizing AI models.
If you have experience in this field then this is your chance to collaborate with industry leaders.
Whats in it for you.
Pay above market standards.
The role is going to be contract based with project timelines from 2-6 months, or freelancing.
Be a part of Elite Community of professionals who can solve complex AI challenges.
Work location could be:.
Remote (Most likely).
Onsite on client location.
Deccan AIs OfficeHyderabad or Bangalore.
Responsibilities:.
Design, optimize, and deploy machine learning models; implement feature engineering and scaling pipelines.
Use deep learning frameworks (TensorFlow, PyTorch) and manage models in production (Docker, Kubernetes).
Automate workflows, ensure model versioning, logging, and real-time monitoring; comply with security and regulations.
Work with large-scale data, develop feature stores, and implement CI/CD pipelines for model retraining and performance tracking.
Required
Skills:
Proficiency in machine learning, deep learning, and data engineering (Spark, Kafka).
Expertise in MLOps, automation tools (Docker, Kubernetes, Kubeflow, MLflow, TFX), and cloud platforms (AWS, GCP, Azure).
Strong knowledge of model deployment, monitoring, security, compliance, and responsible AI practices.
Nice to Have:.
Experience with A/B testing, Bayesian optimization, and hyperparameter tuning.
Familiarity with multi-cloud ML deployments and generative AI technologies (LLM fine-tuning, FAISS).
What are the next steps.
Register on our Soul AI website.
Our team will review your profile.
Clear all the screening roundsClear the assessments once you are shortlisted.
Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project.
Skip the Noise.
Focus on Opportunities Built for You!.
Employment Type: Full Time, Permanent
Read full job description
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based on 22 employees
Flexible timing
Monday to Friday
No travel
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