Machine Learning Engineer

4 - 9 years

0 - 2 Lacs

Posted:6 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Machine Learning Practitioners

Open Positions by Experience Level

1. ML Practitioner 3+ Years (GenAI / LLM Focus)

Key Skills:

  • Machine Learning
  • LLM, GenAI
  • Python
  • Model experimentation & evaluation

Responsibilities:

  • Work on LLM & GenAI use cases
  • Build and test ML models
  • Support AI research & prototyping

2. ML Practitioner – 5+ Years (Data Science & GCP Focus)

Key Skills:

  • Data Science, Machine Learning
  • BigQuery
  • GCP Cloud Run
  • ML Deployment
  • Python

Responsibilities:

  • Develop & deploy ML models in GCP
  • Work with large datasets using BigQuery
  • Build end-to-end ML pipelines

3. ML Practitioner – 5–8 Years (AI/ML, Deep Learning & API Focus)

Key Skills:

  • AI/ML, Algorithms
  • Deep Learning
  • Python
  • LLM
  • CI/CD
  • API development & integration

Responsibilities:

  • Build scalable ML & Deep Learning solutions
  • Expose models through APIs
  • Implement CI/CD for ML pipelines

4. ML Practitioner – 7+ Years (Advanced AI/ML & Analytics)

Key Skills:

  • AI/ML, Machine Learning
  • Data Science, Data Analytics
  • BigQuery
  • Python

Responsibilities:

  • Lead ML development activities
  • Design analytics-driven ML solutions
  • Mentor junior ML engineers

Mandatory Skills (Across All Roles):

  • Strong Python programming
  • Solid Machine Learning fundamentals
  • Experience with real-world ML deployment
  • Good analytical & problem-solving skills

Good to Have:

  • GenAI & LLM project experience
  • GCP cloud exposure
  • CI/CD for ML models
  • API-based ML solutions

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