Machine Learning Engineer

Soul Ai; Dadri; In loco; INR 1.653.000 - 3.444.000; Tempo pieno

Vantaggi offerti da questo lavoro

Above-market pay

Contract-based engagement (2-6 months)

Descrizione del lavoro

Soul Ai in India seeks top-tier Machine Learning Engineers to design, deploy, and optimize AI models as part of a contract-based engagement. Join an elite community of professionals tackling complex AI challenges and collaborating with industry leaders.

You will work on end-to-end model development, deployment, and monitoring, leveraging modern MLOps tools and multi-cloud environments. This role offers above-market compensation and project-based timelines of 2–6 months as a freelancing

Competenze

• Strong ML & DL knowledge with data engineering basics.
• Experience with MLOps and CI/CD for ML pipelines.
• Familiarity with cloud platforms AWS, GCP, Azure.

Mansioni

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

Conoscenze

ML & DL

Data Engineering

MLOps

Strumenti

Docker

Kubernetes

Kubeflow

MLflow

TFX

AWS

GCP

Azure

Descrizione del lavoro

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