Machine Learning Engineer (Freelancer)

Soul Ai; Dadri; Remote; INR 2,790,000 - 5,022,000; Part time

Job summary

Soul AI is seeking top-tier Machine Learning Engineers to join an elite community for contract work (2–6 months). You will design, deploy and optimize AI models, with emphasis on MLOps, real-time monitoring and scalable pipelines.

Roles are contract-based with remote work likely; possible onsite at client locations in Hyderabad or Bangalore, with options across on-site or remote engagement and collaboration with industry leaders.

Qualifications

• 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.

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.

Skills

ML & DL

Data engineering

MLOps

Cloud platforms

Model deployment

Responsible AI

Tools

Docker

Kubernetes

Kubeflow

MLflow

TFX

Spark

Kafka

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).