Machine Learning Engineer (Freelancer)

Soul Ai; Mumbai; Híbrido; INR 1.653.000 - 3.306.000; Tempo parcial

Resumo da vaga

Soul Ai is seeking India's top 1% Machine Learning Engineers for a high-impact, contract-based role with industry leaders. You will design, deploy, and optimize AI models, build scalable pipelines, and manage production-grade ML systems using TensorFlow, PyTorch, Docker, Kubernetes, and related tools.

The role offers above-market pay and project timelines of 2–6 months, with remote work expected and onsite work possible at client offices in Hyderabad or Bengaluru.

Qualificações

• Proficiency in ML and DL; experience building, deploying, optimizing AI models.
• Experience with MLOps, automation tools and cloud platforms.
• Strong knowledge of model deployment, monitoring, security and compliance.
• Familiarity with A/B testing, Bayesian optimization and hyperparameter tuning.

Responsabilidades

• Design, optimize and deploy ML models; develop feature stores and scaling pipelines.
• Automate workflows, versioning, logging and real-time monitoring for models.
• Work with large-scale data; implement CI/CD pipelines for retraining and performance tracking.
• Collaborate with industry leaders to tackle complex AI challenges.

Conhecimentos

ML & DL

Data engineering

MLOps

Automation tools

Cloud platforms

Model deployment

Security & compliance

Responsible AI

A/B Testing

Bayesian optimization

Hyperparameter tuning

Multi-cloud ML

Descrição da vaga

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. 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.
• 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).