Specialist I - DevOps Engineering

9 - 12 Years
1 Opening
Trivandrum

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

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