Machine Learning Engineer (Freelancer)

About Us

Deccan AI experts is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact.

About the Role

We are looking for a Machine Learning Engineer to join us for critical projects. You will be working with big techs to help them in building cutting-edge AI foundational models meant to perform exceptionally well on ML pipelines, predictive modeling, and large-scale training workflows.

In this role you will be part of a highly skilled team with niche domain expertise, being at the forefront to improve the accuracy & performance of SOTA models.

Responsibilities:

• Review and annotate AI-generated ML models, workflows, and training pipelines.
• Evaluate responses related to supervised/unsupervised learning, optimization, and deployment.
• Provide structured feedback on scikit-learn, TensorFlow, or PyTorch-based models.
• Assess AI outputs for accuracy, bias, and computational efficiency.
• Identify improvement areas in feature engineering, hyperparameter tuning, or inference speed.

Requirements:

• Proficiency in Python and ML libraries (scikit-learn, PyTorch, TensorFlow).
• Strong understanding of data preprocessing, model training, and evaluation.
• Familiarity with large datasets, distributed training, and model optimization.
• Knowledge of deployment (APIs, cloud ML services, or containerization).
• Interest in advancing AI model reliability and fairness.

Why Join Us

• Work on high-impact projects that contribute to building AI for Good.
• Collaborate with top-tier engineers and domain experts from IITs, NITs, and BITS.
• Opportunity to grow in a fast-paced, innovation-driven environment.

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NOTE: This will be a flexible freelancing opportunity. Pay will vary by project and typically is up to 1500 per hour.