Machine Learning Engineer (Freelancer)

We are lookingWe 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
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• Focus on Opportunities Built for You!