Machine Learning Engineer (Freelancer)

Soul Ai; Gurugram District; Hybrid; INR 1,674,000 - 3,348,000; Full time

Job summary

Soul AI in India seeks top-tier Machine Learning Engineers to design, deploy, and optimize AI models for client projects on a contract basis. You will build scalable pipelines, implement feature stores, and ensure real-time monitoring and governance.

Requirements include ML and deep learning expertise, data engineering skills (Spark, Kafka), and hands-on experience with Docker, Kubernetes, Kubeflow, MLflow, and cloud platforms (AWS, GCP, Azure). Remote work is likely, with onsite options.

Qualifications

• Experience designing, deploying, and optimizing ML models for production systems.
• Strong data engineering and streaming data experience.
• Hands-on with MLops tools and cloud platforms.

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

Machine learning

Deep learning

Data engineering

Tools

Docker

Kubernetes

Kubeflow

MLflow

TFX

Spark

Kafka

Job description

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

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. If you have experience in this field then this is your chance to collaborate with industry leaders.

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.

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).