Machine Learning Engineer (Freelancer)

Soul Ai; Hyderabad; Remoto; INR 827.000 - 1.240.000; Part-time

Vantaggi offerti da questo lavoro

Above-market pay

Contract-based 2-6 months

Elite community of professionals

Remote work often available

Descrizione del lavoro

Soul Ai in India is seeking top-tier Machine Learning Engineers to design, deploy, and optimize AI models on contract. The role targets 2-6 month projects or freelancing, with opportunities to work with industry leaders and a diverse set of data challenges.

You will collaborate with cross-functional teams, implement MLOps practices, and push models to production using Docker/Kubernetes, TF/PyTorch, and cloud platforms. Remote work is common, with onsite options in Hyderabad or Bangalore.

Competenze

• Proficiency in ML, DL and data engineering (Spark, Kafka).
• Experience with 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.

Mansioni

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

Conoscenze

Machine Learning

Deep Learning

Data Engineering

MLOps

Model Deployment

CI/CD Pipelines

Strumenti

Docker

Kubernetes

Kubeflow

MLflow

TFX

Spark

Kafka

Descrizione del lavoro

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

Location

• 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).