AI/ML Engineer

Experience: 4.00 + years

Salary: USD 2222-2592 / month (based on experience)

Expected Notice Period: 7 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full Time Contract for 6 Months(40 hrs a week/160 hrs a month)

(*Note: This is a requirement for one of Uplers client - Hybrid AI)

What do you need for this opportunity

Must have skills required:

RecSys / decision optimization engines., Cloud (AWS/Azure/GCP), Data Pipelines (Celery, Databases (Cassandra, ELK), GPU/CUDA, Grafana, Kafka), ML Libraries (PyTorch, Monitoring (Prometheus, pandas, PyGAD), PySpark) + GPU/CUDA, Python (Django/FastAPI), Scikit-learn, TensorFlow, Kubernetes, PostgreSQL, Redis

Hybrid AI is Looking for:

About The Job

• About HybridAI Company and SaaS product:
• At HybridAI, a dynamic startup, we are revolutionizing the AI resources are
  
  

consumed optimally with our innovative SaaS B2B platform. Our mission is

to simplify decision-making for CIOs by providing tailored recommendations

that balances cost, power consumption, and compatibility with existing IT

environments. We take the complexity out of choosing the right

infrastructure, optimizing both cost and power consumption while delivering

high-performance AI and IT workloads.

• Our platform, designed by esteemed professors in AI/ML, industry CIOs, and
  
  

brought to market by experienced software industry executives, addresses

the critical challenges CIOs face in navigating the rapidly evolving AI

landscape. By offering real-time, tailored recommendations, HybridAI

enables CIOs to make informed decisions quickly, reducing complexity and

driving immediate benefits. Join us at HybridAI and be part of a team that is

shaping the future of AI infrastructure with innovation, expertise, and a

commitment to excellence. You will build a system to balance cost,

performance, and power consumption.

• Location: Remote
  
  

Experience: 4-5 years

Type: 6 months contract

As an AI/ML Engineer at HybridAI, you'll be responsible for design, develop, and

scale AI-powered algorithms to optimize Kubernetes clusters, VMWare resource

allocation, GPU resource allocation, and cloud infrastructure - all with an AI-first

coding approach, embedding AI capabilities directly into product architecture from

day one.

Responsibilities

• Design, develop, and deploy ML models to optimize infrastructure selection
  
  

(cloud/on-prem, hardware type, cost/power trade-offs)

• AI/ML Development: Build and tune genetic algorithms, predictive models, and
  
  

optimization strategies for large-scale infrastructure datasets.

• GPU Resource Management: Create intelligent GPU allocation and scheduling
  
  

systems for Kubernetes pods/VMs, including multi-GPU and fractional GPU

scenarios.

• Kubernetes Integration: Implement AI-driven pod placement, node selection, and
  
  

automated infrastructure decision-making, with real-time metric integration

(Prometheus, Grafana).

• Research & Innovation: Explore emerging optimization techniques, analyze
  
  

results, and document findings.

• Build scalable feature engineering and data preprocessing pipelines using Pandas,
  
  

scikit-learn, and PySpark to feed infrastructure and performance metrics into ML

models.

• Build interval-based retraining workflows triggered by incoming metric streams
  
  

using Celery task queues and workers in Python.

• Collaborate with DevOps and backend teams to integrate model outputs into the
  
  

core SaaS application via REST or gRPC APIs.

• Monitor, evaluate, and retrain models using MLflow, Weights & Biases, or similar
  
  

MLOps tools.

• Continuously monitor model performance and retrain as needed using MLOps
  
  

practices

• Ensure low-latency decisioning while maintaining model accuracy and
  
  

explainability

• Store model outputs and inference results in Cassandra, optimizing for write
  
  

throughput and fast queries

• Scale and orchestrate model training and inference jobs across multiple tenants
  
  

and environments

• Ensure models provide explainable, auditable outputs to support enterprise-grade
  
  

transparency

• Help define best practices for AI/ML in the context of SaaS platforms
  
  

What We're Looking For

• 45 years of experience building and deploying machine learning models in
  
  

production

• Deep competence in AI-first architectures where ML models and algorithms are
  
  

central to system workflows.

• Deep competence in Python language, Django Administration and Fast API
• Deep competence in Pytorch, Tensorflow, scikit-learn and PyGAD
• Experience working with cloud platforms (AWS, Azure, GCP) and hybrid on-prem
  
  

infrastructure

• Experience working with Kubernetes, NVIDIA GPUs and CUDA architectures
• Experience working with Cassandra, PostgreSQL, Redis, Kafka, Docker
• Experience working with Prometheus, Grafana, ELK
• Strong Python skills with hands-on experience using Celery for background
  
  

processing and task scheduling

• Hands-on experience with ML lifecycle tools: MLflow, Kubeflow, Airflow, or similar
• Nice to Have
• Experience with recommendation systems or decision optimization engines
  
  

Why Join Us

• Innovate in a fast-growing AI SaaS startup shaping enterprise AI infrastructure.
• Lead AI/ML initiatives with an AI-first mindset.
• Influence long-term product architecture and AI strategy.
• Gain recognition in AI-driven infrastructure optimization research.
• Work on cutting-edge technologies with AI/ML-driven decision-making.
• Flexible remote work culture with a collaborative and dynamic team.
• Career growth opportunities in a rapidly evolving AI/GPU/Data centers domain.
  
  

How to apply for this opportunity

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  
  

About Uplers:


Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!