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হোম/Roadmap/Chapter 12.01
Phase 12 · Chapter 12.01

MLOps Engineer Roadmap

MLOps career-এর map — কোন level-এ কী জানতে হবে, কোথায় থামতে হয়, কীভাবে এগোতে হয়।

Levels

MLOps career ladder

textproduction
L1  Junior MLOps Engineer        (0-2 yrs)   $60k-$100k
L2  MLOps Engineer               (2-4 yrs)   $100k-$150k
L3  Senior MLOps Engineer        (4-7 yrs)   $150k-$220k
L4  Staff / Lead MLOps           (7-10 yrs)  $220k-$350k
L5  Principal / ML Platform Lead (10+ yrs)   $350k-$600k+

Numbers US market; remote / EU / APAC adjust করো।

Skill Matrix

Level-অনুযায়ী expectation

  • L1: Python, Docker, FastAPI, Git, basic ML, one cloud (AWS/GCP/Azure)।
  • L2: Kubernetes, CI/CD, MLflow, monitoring, IaC (Terraform)।
  • L3: System design, multi-tenant, cost optimization, mentor others।
  • L4: Platform design, cross-team strategy, build-vs-buy decisions।
  • L5: Org-wide ML strategy, vendor negotiation, hiring।
12-Month Plan

Junior → Mid in one year

textproduction
Month 1-2:  Python deep + Docker + FastAPI + sklearn
Month 3-4:  Cloud basics (AWS) + Postgres + Redis
Month 5-6:  Kubernetes + Helm + GitHub Actions
Month 7-8:  MLflow + DVC + monitoring (Prometheus/Grafana)
Month 9-10: Real project — RAG SaaS or recsys, deploy
Month 11:   System design practice + interview prep
Month 12:   Job hunt + offer negotiation
Specializations

L3+ এ branch

  • LLMOps: RAG, fine-tuning, vector DB, eval framework।
  • Platform Engineering: Kubeflow, Ray, internal ML platform।
  • Edge ML: mobile, IoT, embedded inference।
  • ML Infrastructure: GPU clusters, distributed training।
  • Responsible AI: fairness, explainability, governance।
Portfolio

যা interview-এ দেখাবে

  • 3 GitHub project (beginner/intermediate/advanced)।
  • 1 blog series — "how I built X" technical deep-dive।
  • 1 open source contribution (MLflow/Kubeflow/LangChain)।
  • LinkedIn — weekly post-এ visibility build।
  • Conference talk / meetup speak — senior-এ critical।
Pitfalls

Career-এ যা ভুল

  • Tool-hopping — সপ্তাহে এক tool শেখা, কিছুই deep না।
  • "Tutorial hell" — কোর্স শেষ করো কিন্তু own project নেই।
  • একই company-তে 5 yr stuck — comp + skill stagnate।
  • Networking ignore — referral ছাড়া senior role পাওয়া কঠিন।
Takeaway

মূল কথা

MLOps career = T-shape: এক area-তে deep + পুরো stack-এ broad। প্রতি 18-24 মাসে role/scope বাড়াও।

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