Machine Learning Engineer (Freelancer)

Soul Ai; Chennai; Remoto; INR 1.674.000 - 2.790.000; Tempo parcial

Benefícios oferecidos por esta vaga

Contract-based project (2–6 months)

Remote work likely

Onsite client locations in Hyderabad/B

Resumo da vaga

Soul AI, part of Deccan AI, invites top 1% Machine Learning Engineers in India for a contract opportunity ranging 2–6 months. Roles involve building, deploying, and optimizing AI models with robust MLOps, feature stores, and CI/CD pipelines.

Remote work is likely, with onsite options at client sites in Hyderabad or Bangalore; salary above market standards. This elite community offers exposure to industry leaders and real-world challenges in scalable AI.

Qualificações

• Expertise in building, deploying, and optimizing AI models.
• Experience with MLOps, automation tools, and cloud platforms.
• Strong knowledge of model deployment, monitoring, security, and compliant AI practices.

Responsabilidades

• Design, optimize, and deploy ML models with feature engineering.
• Use TensorFlow, PyTorch; manage production models with Docker and Kubernetes.
• Automate workflows, versioning, logging, and real-time monitoring.
• Work with large-scale data, build feature stores, and CI/CD for retraining.

Conhecimentos

Machine Learning

Deep Learning

Data Engineering

MLOps

Docker

Kubernetes

Kubeflow

MLflow

TFX

Cloud Platforms

Model Deployment

Monitoring & Security

Responsible AI

Ferramentas

Docker

Kubernetes

Kubeflow

MLflow

TFX

Descrição da vaga

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).