AI/ML Engineer I

🔥 7 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🤖 Machine Learning Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Astreya

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2001

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Astreya is a leading global provider of IT Managed Services and Technology Solutions, known for its innovative approach to digital engineering and IT logistics. The company focuses on empowering businesses to excel in today's dynamic digital landscape by maximizing productivity and fostering innovation. Astreya offers a range of services including Data Center & Network Management, Digital Workplace Services, Next-Gen Digital Engineering, and Cybersecurity Services. With a commitment to excellence and a focus on operational frameworks, Astreya aims to transform technology into a valuable strategic asset for organizations worldwide.

📋 Description

• Translate business goals into measurable ML goals, KPIs, and acceptance thresholds • Own the lifecycle from prototyping, including deep learning and GenAI, through deployment and monitoring • Develop and maintain observability dashboards and alerts for ML metrics and feature drift • Run and safeguard models in real time • Pilot new ML tools and frameworks and lead suitable production integrations • Align product, infrastructure, legal, and UX stakeholders on responsible ML • Clean, annotate, and preprocess datasets for supervised learning • Implement simple machine learning models under guidance • Produce exploratory data analysis reports • Document model experiments in Jupyter notebooks • Write unit-tested ML scripts • Assist with data cleaning, feature engineering, model testing, deployment, data pipelines, documentation, and unit testing • Support data preparation and model training under guidance • Develop and maintain smaller AI modules such as anomaly detection • Collaborate across globally distributed teams

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Science, IT, or a related field • 1–2 years in data science/ML roles • Hands-on experience with frameworks such as scikit-learn or PyTorch • Python required; Java/C++ optional • SQL, Apps Script, and ServiceNow • Familiarity with TensorFlow, PyTorch, scikit-learn, and HuggingFace • Experience with Git, Docker, Kubernetes, Airflow, MLflow, Jupyter, and Postman • SQL, Pandas, and data APIs • Flask/FastAPI, CI/CD, REST APIs, and cloud functions • Strong analytical and debugging skills • Ability to translate business problems into AI/ML solutions • Effective communication with technical and non-technical stakeholders • Experience working under Agile or DevOps-based workflows • Ability to learn new AI concepts and tools rapidly • Ability to handle ambiguity and balance research with delivery • Ability to collaborate across globally distributed teams