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Machine Learning Engineer

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Onsite

Machine Learning Engineer

Soul Ai

Machine Learning Engineer

Skills

Google Cloud PlatformData EngineeringDeep LearningDockerPyTorchTensorFlowKafkaMachine LearningAIAWSKubernetesComplianceAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

15 September 2026

What they need


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

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).

Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India

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