Astreya

AI/ML Engineer I

About this role

Astreya is a global IT managed services provider. Its AI/ML Engineers design and implement machine learning models to solve enterprise IT and operational problems, covering areas such as NLP, computer vision, automation and predictive modeling. At Level I, the engineer works under guidance on data preparation, simple models and supporting scripts. Typical outputs include cleaned datasets, exploratory data analysis reports, experiment notebooks and unit-tested ML scripts. The role is full-time and remote in India, and suits someone with 1 to 2 years in data science or ML who is comfortable with Python.

Astreya is hiring for AI/ML Engineer I, a full-time role based in India (remote).

Who can apply: 1–2 years in data science/ML roles. Skills: Python, PyTorch, scikit-learn, TensorFlow, SQL, Docker, MLflow, Airflow.

Hirastra checked that this opening is live. Apply directly through the official posting; applying is always free.

What you'll do

  • Clean, annotate and pre-process datasets for supervised learning models
  • Implement simple ML models such as logistic regression and decision trees under guidance
  • Produce exploratory data analysis reports and Jupyter notebooks documenting experiments
  • Write, debug and unit-test ML scripts
  • Assist with feature engineering, data pipelines, deployment and documentation

What you need

  • Bachelor's degree in Computer Science, Data Science, IT or a related field
  • 1 to 2 years in data science/ML roles
  • Hands-on experience with frameworks like scikit-learn or PyTorch
  • Python (must); SQL and Pandas for data pipelines
  • Strong analytical and debugging skills
  • Ability to communicate with technical and non-technical stakeholders
Location
India
Work mode
Remote
Experience
1–2 years in data science/ML roles
Pay
₹6–12 LPA (Est.)
Type
Full-time job, AI & ML
Added
9 October 2026

Skills

  • Python
  • PyTorch
  • scikit-learn
  • TensorFlow
  • SQL
  • Docker
  • MLflow
  • Airflow

"Est." = Hirastra's estimate based on market data, not an official figure.

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