Machine Learning Engineer (Freelancer)

Soul Ai; Kolkata District; Remote; INR 1,674,000 - 2,344,000; Full time

Job summary

Soul AI seeks top-tier ML Engineers to design, deploy, and optimize AI models. You will build scalable pipelines, apply feature engineering, and manage end-to-end ML workflows in production environments.

Remote-friendly contract role (2–6 months), with possible onsite client work in India. Expertise in TensorFlow/PyTorch, Docker, Kubernetes, Kubeflow, MLflow, TFX, Spark and Kafka is required, along with strong security and compliance knowledge.

Qualifications

• Proficiency in ML, DL, and data engineering (Spark, Kafka).
• Expertise in MLOps, automation tools (Docker, Kubernetes, Kubeflow, MLflow, TFX) and clouds (AWS, GCP, Azure).
• Strong knowledge of model deployment, monitoring, security and responsible AI practices.

Responsibilities

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

Skills

ML & DL proficiency

MLOps & automation

Deployment & monitoring

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).