We are looking for top-tier Machine Learning Engineers with proven expertise in building, deploying, and optimizing AI models. If you're passionate about AI innovation and ready to collaborate with leading experts, this is your opportunity to join an elite professional community and solve complex real-world challenges.
Responsibilities
- Design, optimize, and deploy machine learning models for production environments
- Implement scalable feature engineering workflows and data pipelines
- Use deep learning frameworks such as TensorFlow and PyTorch
- Manage models in production with Docker, Kubernetes, and similar tools
- Automate ML workflows and ensure robust versioning, logging, and real-time monitoring
- Comply with model governance, security, and regulatory best practices
- Work with large-scale datasets and develop reusable feature stores
- Build and maintain CI/CD pipelines for model retraining and performance evaluation
Required Skills
- Proficiency in machine learning, deep learning, and data engineering frameworks (e.g., Spark, Kafka)
- Hands-on experience with MLOps, including tools like Docker, Kubernetes, Kubeflow, MLflow, and TFX
- Expertise with major cloud platforms (AWS, GCP, Azure)
- In-depth understanding of model deployment, monitoring, security, compliance, and responsible AI
Preferred Skills
- Experience with A/B testing, Bayesian optimization, and hyperparameter tuning
- Familiarity with generative AI workflows, such as LLM fine-tuning, FAISS, and vector databases
- Exposure to multi-cloud ML infrastructure setups
Why Join Us
- Pay above market standards
- Flexible contract-based or freelance engagements
- Work remotely, onsite with clients, or from Deccan AI offices in Hyderabad/Bangalore
- Collaborate with elite professionals on cutting-edge AI initiatives
