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Specialist I - DevOps Engineering

Specialist I - DevOps Engineering

UST

5 years

0 Lacs

Trivandrum Kerala India

Posted:12 hours ago| Platform:

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Skills Required

devops engineering ml ai research programming python reinforcement learning data optimization algorithms tuning vision github tensorflow pytorch scalability flow development mlflow airflow automation statistics probability code kubernetes aws java

Work Mode

On-site

Job Type

Full Time

Job Description

Role Description

Job Title:

Jr. ML Engineer

Experience Range

Industry: 3–5 years
Academic: 1–2 years (relevant ML/AI research or projects)

Hiring Location:

Trivandrum

Must Have Skills

Programming: Strong expertise in Python or R
Applied Machine Learning:

Problem framing – ability to choose between Supervised, Self-supervised, or Reinforcement Learning (RL)
Data wrangling – experience with Weak/Distant Supervision, Pseudo-labelling, strong EDA, data preparation, labelling, and data augmentation
End-to-end modelling in ML, DL, and RL
Experience with Single models, Ensembles, Mixture of Experts
Understanding of Mathematical Induction, Tree Induction, Deep Learning fundamentals, and optimization algorithms like SGD
Transfer learning – N-shot learning (or variants), fine-tuning skills

ML/DL Verticals: Expertise in at least one – Time Series Modelling, Computer Vision, NLP, or RL
Portfolio:

GitHub with original ML repositories
Kaggle with decent leaderboard positions

Tools & Libraries: Proficiency in TensorFlow or PyTorch
MLOps:

Experience running ML experiments
Deploying ML solutions into production (TFServe, Seldon, custom serving – interactive, batch, and stream serving)
Performance and scalability optimization

Data Engineering: Ensuring smooth data flow between databases and backend systems
Custom Development: Implementing custom ML algorithms (e.g., custom SGD) and designing own DNN architectures when needed

Good To Have Skills

Experience with Kubeflow, MLflow, Airflow, or SparkML
AI/Automation-related patents
Exposure to statistics and probability
Dockerized code execution experience
Familiarity with Kubernetes (preferred as the company uses it)
Computer Science or IT background

Skills

AWS DEVOPS,JAVA,SPRINGBOOT

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