Machine Learning Engineer (Freelancer)

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

Benefits offered by this job

Pay above market standards

Elite Community of professionals

Job summary

Soul AI, the Experts Community, invites top-tier ML Engineers for a contract-based opportunity. Work with industry leaders on challenging AI projects for 2–6 months, with potential remote work and onsite client locations in Hyderabad or Bangalore. Join an elite community of professionals solving complex AI problems.

The role emphasizes deploying scalable models, modern MLOps, and collaboration across cloud and data platforms. Compensation is above market standards.

Qualifications

• Strong expertise in building, deploying, and optimizing AI models.
• Experience with ML/DL, data engineering, and large-scale data handling.
• Proficiency in MLOps, automation 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

ML/DL

Data engineering

MLOps

Docker

Kubernetes

Cloud platforms

Tools

TensorFlow

PyTorch

Kubeflow

MLflow

TFX

Spark

Kafka

FAISS

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).