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Hire Pre-Vetted MLOps Engineers

Hire experienced MLOps engineers from Agochar who specialize in building and maintaining production ML pipelines. Our MLOps experts implement Kubeflow, MLflow, AWS SageMaker, and custom infrastructure for model training, deployment, and monitoring at scale. Agochar provides pre-vetted MLOps Engineers with expertise in Kubeflow, MLflow, SageMaker, Docker. Get matched within 48 hours, start with a 2-week risk-free trial, and scale your team with top engineering talent.

Kubeflow MLflow SageMaker Docker Kubernetes CI/CD

Why Hire MLOps Engineers from Agochar?

We make finding and hiring top talent simple, fast, and completely risk-free

Pre-Vetted Talent

Only top 3% of applicants pass our rigorous 5-stage screening

48-Hour Matching

Get matched with qualified developers within 2 business days

Risk-Free Trial

2-week trial period with replacement guarantee

Flexible Engagement

Full-time, part-time, or project-based hiring models

Time Zone Aligned

Developers available in your working hours

Dedicated Support

Account manager assigned for your success

What Skills Do MLOps Engineers Have?

Agochar's MLOps Engineers come pre-vetted with production experience across the technologies you need. Every developer has proven expertise and strong problem-solving skills.

Kubeflow
MLflow
SageMaker
Docker
Kubernetes
CI/CD
Neural Network Input Hidden Output Training Progress Epoch 47/100 Accuracy 96.8% Loss 0.023 GPU 87% MEM 24G Batch 128/1024 Model Configuration Architecture Transformer Parameters 124M TensorFlow PyTorch train.py 1 import torch 2 from transformers import GPT2 3 # Initialize model 4 model = GPT2.from_pretrained() 5 optimizer = torch.optim.Adam() 6 # Training loop... 7 for epoch in range(100):
TF TensorFlow
PT PyTorch
SK scikit-learn
KR Keras
ML MLflow
PY Python
GP GPT-4
CL Claude
LC LangChain
LI LlamaIndex
RG RAG
PE Prompt Eng

How Do You Hire MLOps Engineers from Agochar?

From requirements to onboarding in just a few simple steps

01

Share Requirements

Tell us your technical needs, team culture, and project scope

02

Review Candidates

Get matched with pre-vetted developers within 48 hours

03

Interview & Select

Conduct technical interviews and choose your hire

04

Onboard & Build

Start your 2-week risk-free trial and begin development

What Engagement Models Are Available for MLOps Engineers?

Flexible ways to hire MLOps Engineers based on your project needs

Full-Time Dedicated

160 hours/month with a developer working exclusively on your projects

  • Dedicated resource
  • Team integration
  • Direct management
  • Long-term commitment
Popular

Part-Time Flexible

80 hours/month with flexible scaling based on your needs

  • Flexible hours
  • Scale up/down
  • Cost-effective
  • Multiple projects

Project-Based

Fixed-scope engagement with defined deliverables and timeline

  • Defined scope
  • Fixed budget
  • Clear milestones
  • Turnkey delivery

Frequently Asked Questions About Hiring MLOps Engineers

Find answers to common questions about hiring MLOps Engineers from Agochar

What skills do Agochar's MLOps Engineers have?

Agochar's MLOps Engineers are proficient in Kubeflow, MLflow, SageMaker, Docker, Kubernetes, CI/CD. Each developer has at least 3+ years of professional experience and has passed our rigorous 5-stage vetting process including technical assessments, live coding interviews, and soft skills evaluation.

How quickly can I hire MLOps Engineers from Agochar?

Agochar can match you with pre-vetted MLOps Engineers within 48 hours of receiving your requirements. After reviewing candidate profiles and conducting interviews, most clients complete hiring within 1-2 weeks. We accelerate the process without compromising on quality.

What is the vetting process for Agochar's MLOps Engineers?

Agochar's 5-stage vetting process includes: (1) Resume and portfolio screening, (2) Technical assessment covering Kubeflow, MLflow, SageMaker, (3) Live coding interview with senior engineers, (4) Soft skills and communication evaluation, and (5) Background and reference verification. Only the top 3% pass all stages.

How much does it cost to hire MLOps Engineers from Agochar?

Agochar offers competitive rates for MLOps Engineers: Full-time dedicated developers start from $4,000-$10,000/month depending on seniority. Part-time engagement is available at $40-$100/hour. Project-based pricing is customized based on scope. Contact us for a detailed quote.

Can I hire MLOps Engineers for a short-term project?

Yes, Agochar offers flexible engagement models for MLOps Engineers: full-time dedicated (160 hours/month), part-time flexible (80 hours/month), and project-based with defined scope and deliverables. You can scale up or down based on your needs.

Do Agochar's MLOps Engineers work in my timezone?

Agochar has MLOps Engineers available across multiple timezones including North America, Europe, and Asia-Pacific. We match you with developers who have at least 4+ hours overlap with your business hours for real-time collaboration.

What if the MLOps Engineer is not a good fit?

Agochar offers a 2-week risk-free trial period. If the MLOps Engineer does not meet your expectations during this trial, we provide a replacement at no additional cost. We also have ongoing support to address any concerns throughout the engagement.

How do Agochar's MLOps Engineers integrate with my team?

Agochar's MLOps Engineers integrate seamlessly with your existing team. They join your communication channels (Slack, Teams), use your project management tools (Jira, Asana), follow your development processes, and attend standups and meetings as needed.

Does Agochar handle IP and confidentiality for MLOps Engineers?

Yes, all Agochar MLOps Engineers sign comprehensive NDAs and IP assignment agreements before starting any engagement. Your code, business information, and trade secrets remain completely confidential. We can accommodate specific contractual requirements.

What support does Agochar provide when I hire MLOps Engineers?

Agochar provides dedicated support including: an assigned account manager, regular performance check-ins, developer replacement if needed, scaling assistance, and resolution of any communication or delivery issues. We ensure your engagement is successful.

Ready to Hire MLOps Engineers?

Get matched with pre-vetted MLOps Engineers in 48 hours. Start your 2-week risk-free trial today and scale your team with top engineering talent.