Machine Learning Engineer (Freelancer)

Deccan AI Experts; Bengaluru; Hybrid; INR 1,704,780 - 2,428,020; Part time

Benefits offered by this job

Work on high-impact projects

Collaborate with top-tier engineers

Opportunity to grow in a fast-paced environment

Job summary

Deccan AI Experts in Bengaluru is seeking a skilled Machine Learning Engineer to work on critical projects with leading tech companies. This is a flexible freelancing opportunity focusing on AI model evaluation, optimization, and deployment. The role requires strong proficiency in Python and major ML libraries. Join a passionate team dedicated to fostering innovation and making a positive societal impact. Pay varies by project, with a maximum rate of ₹1500 per hour.

Qualifications

• Strong proficiency in Python and major ML libraries.
• Solid understanding of data preprocessing, feature engineering, and evaluation metrics.
• Familiarity with large datasets and distributed training systems.

Responsibilities

• Review and evaluate AI-generated ML models and workflows.
• Assess outputs related to supervised learning and deployment strategies.
• Provide structured feedback on models built using relevant libraries.

Skills

Proficiency in Python

Experience with scikit-learn

Experience with TensorFlow

Experience with PyTorch

Analytical thinking

Job description

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 skilled Machine Learning Engineer to join us for critical projects. You will work with leading global tech companies to help build cutting-edge AI foundational models designed to perform exceptionally well across ML pipelines, predictive systems, and large-scale training environments.

In this role, you will be part of a highly specialized team with strong domain expertise, contributing directly to improving the accuracy, scalability, and performance of state-of-the-art AI models.

Responsibilities

• Review and evaluate AI-generated ML models, workflows, and training pipelines.
• Assess outputs related to supervised learning, unsupervised learning, optimization, and deployment strategies.
• Provide structured feedback on models built using scikit‑learn, TensorFlow, or PyTorch.
• Analyze responses for accuracy, fairness, robustness, and computational efficiency.
• Identify opportunities to improve feature engineering, hyperparameter tuning, and inference speed.
• Validate end-to-end ML workflows including preprocessing, training, and deployment logic.

Requirements

• Strong proficiency in Python and major ML libraries such as scikit‑learn, PyTorch, and TensorFlow.
• Solid understanding of data preprocessing, feature engineering, model training, and evaluation metrics.
• Familiarity with large datasets, distributed training systems, and model optimization techniques.
• Knowledge of model deployment using APIs, cloud ML platforms, or containerized environments.
• Understanding of bias detection, fairness, and reliability in AI systems.
• Strong analytical thinking and problem-solving skills.

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.

NOTE

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