Deccan AI is building an exclusive community of top-tier Machine Learning Engineers who excel at building, deploying, and optimizing AI models. If you have proven experience in this cutting-edge field, this is your chance to collaborate with industry leaders and tackle some of the most complex AI challenges.
What's in it for you
- Above-market pay for your expertise.
- Flexible work arrangements : This role is contract-based with project timelines ranging from 2-6 months, or you can work as a freelancer.
- Become part of an elite community of professionals dedicated to solving advanced AI problems.
- Work location flexibility :
- Remote (most likely)
- Onsite at a client's location
- Deccan AI's office in Hyderabad or Bangalore
Responsibilities :
Design, optimize, and deploy machine learning models.Implement robust feature engineering and scaling pipelines.Utilize deep learning frameworks such as TensorFlow and PyTorch.Effectively manage models in production using tools like Docker and Kubernetes.Automate workflows, ensuring efficient model versioning, logging, and real-time monitoring.Maintain strict compliance with security protocols and regulations.Work with large-scale data, develop sophisticated feature stores, and implement CI / CD pipelines for continuous model retraining and performance tracking.Required Skills :
Proficiency in machine learning, deep learning, and data engineering (e.g., Spark, Kafka).Expertise in MLOps principles and automation tools like Docker, Kubernetes, Kubeflow, MLflow, and TFX.Strong command of cloud platforms (AWS, GCP, Azure).In-depth knowledge of model deployment, monitoring, security, and compliance.Commitment to and understanding of responsible AI practices.Nice to Have :
Experience with A / B testing, Bayesian optimization, and hyperparameter tuning.Familiarity with multi-cloud ML deployments.Understanding of generative AI technologies (e.g., LLM fine-tuning, FAISS).Skills Required
Machine Learning, data engineering , Deep Learning, Automation Tools, Kubernetes