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