Machine Learning Engineer

Soul Ai; Bengaluru; In loco; INR 2.009.000 - 3.571.000; Part-time

Vantaggi offerti da questo lavoro

Above market pay

Descrizione del lavoro

Soul Ai in Bengaluru invites top-tier Machine Learning Engineers for a contract role (2–6 months) to build, deploy, and optimize AI models. You will join an elite community of professionals and work on high-impact projects with timelines and performance goals.

Responsibilities include designing and deploying models, leveraging TensorFlow or PyTorch, and managing production through Docker and Kubernetes. You will automate pipelines, implement feature stores, and ensure security and compliance

Competenze

• Proven expertise in machine learning and deep learning.
• Strong data engineering capabilities with Spark and Kafka.
• Experience with MLOps and cloud platforms.

Mansioni

• Design, optimize, and deploy ML models with feature engineering.
• Use TensorFlow or PyTorch; manage production models with Docker and Kubernetes.
• Automate workflows, ensure versioning, logging, and real-time monitoring with security in mind.
• Develop CI/CD pipelines for retraining and performance tracking on large-scale data.

Conoscenze

ML & DL

Data engineering

MLOps

Docker & Kubernetes

Cloud platforms

Security & compliance

Responsible AI

Strumenti

Kubeflow

MLflow

TFX

Docker

Kubernetes

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