Machine Learning Engineer (Freelancer)

Soul Ai; Bengaluru; Hybrid; INR 2,009,000 - 3,571,000; Part time

Benefits offered by this job

Competitive pay

Job summary

Soul AI's Experts Community is seeking India's top 1% Machine Learning Engineers for a contract opportunity to work with industry leaders.

Roles are 2-6 month projects, with remote options and onsite at client locations in Bengaluru or Hyderabad. The position offers pay above market standards and involves designing, deploying, and optimizing ML models using TensorFlow or PyTorch and managing production pipelines.

Qualifications

• Expertise in building, deploying, and optimizing AI models.
• Experience with TensorFlow or PyTorch.
• Knowledge of AI model deployment, monitoring, security and responsible AI practices.

Responsibilities

• Design, optimize, and deploy ML models with feature engineering and scaling pipelines.
• Use TF/PyTorch and manage models in production with Docker and Kubernetes.
• Automate workflows, ensure model versioning, logging, and real-time monitoring; ensure security/compliance.
• Work with large-scale data, develop feature stores, and implement CI/CD for retraining and performance tracking.

Skills

ML/DL fundamentals

Data engineering

MLOps & deployment

Cloud platforms

Tools

Docker

Kubernetes

Kubeflow

MLflow

TensorFlow/PyTorch

Job description

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI).

We are looking for Indias top 1% Machine Learning Engineers for a unique job opportunity to work with the industry leaders.

Who can be a part of the community.

We are looking for top-tier Machine Learning Engineers with expertise in building, deploying, and optimizing AI models.

Whats in it for you.

Pay above market standards.

The role is going to be contract based with project timelines from 2-6 months, or freelancing.

Be a part of Elite Community of professionals who can solve complex AI challenges.

Work location could be:

Remote (Most likely).

Onsite on client location.

Deccan AIs OfficeHyderabad or Bangalore.

Responsibilities.

• Design, optimize, and deploy machine learning models; implement feature engineering and scaling pipelines.
• Use deep learning frameworks (TensorFlow, PyTorch) and manage models in production (Docker, Kubernetes).
• Automate workflows, ensure model versioning, logging, and real-time monitoring; comply with security and regulations.
• Work with large-scale data, develop feature stores, and implement CI/CD pipelines for model retraining and performance tracking.

Required

Skills:

• Proficiency in machine learning, deep learning, and data engineering (Spark, Kafka).
• Expertise in MLOps, automation tools (Docker, Kubernetes, Kubeflow, MLflow, TFX), and cloud platforms (AWS, GCP, Azure).
• Strong knowledge of model deployment, monitoring, security, compliance, and responsible AI practices.

Nice to Have.

• Experience with A/B testing, Bayesian optimization, and hyperparameter tuning.
• Familiarity with multi-cloud ML deployments and generative AI technologies (LLM fine-tuning, FAISS).