Machine Learning Engineer (Freelancer)

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).