Ai Ml Engineer

Deevia Software India; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Deevia Software India is seeking an AIML Engineer in Bengaluru to work on machine learning, time series modelling, and sensor data analytics.

You will analyze device and large-scale sensor data, develop and optimize time-series and ML/DL models, and perform data preprocessing, statistical analysis, and model verification. Proficiency in Python and ML frameworks is required.

Hands-on with TensorFlow or PyTorch, and experience with Linux, Docker, and Git is preferred.

Qualifications

• Proficient in Python with ML/DL concepts.
• Strong foundation in time-series modelling and sensor data analytics.
• Experience with data preprocessing, parameter tuning, and model validation.
• Familiarity with ML/DL frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn.
• Good knowledge of NumPy and Pandas; basics of Linux, Git, and Docker.

Responsibilities

• Analyze device and large-scale sensor data to derive insights.
• Develop and optimize time-series and ML/DL models.
• Preprocess data, perform statistical analysis, tune parameters.
• Research and implement relevant AI/ML papers.

Skills

Python

C++

ML

DL

Time Series

Sensor Data Analytics

Model Optimization

Data Preprocessing

Statistical Analysis

Tools

TensorFlow

PyTorch

Keras

Scikit-learn

NumPy

Pandas

Linux

Docker

Git

Job description

Job Description

We are looking for an AIML Engineer with hands‑on experience in Machine Learning, Deep Learning, Time Series Modelling, and Sensor Data Analytics.

Key Responsibilities

• Analyze and derive insights from device and large-scale sensor data.
• Develop and optimize Time Series and ML/DL models.
• Perform data preprocessing, statistical analysis, parameter tuning, and model verification.
• Research and independently implement relevant AI/ML research papers.

Required Skills

• Strong Python programming; good knowledge of C++.
• Strong fundamentals in ML, DL, statistics, and model optimization.
• Experience with LSTM, GRU, ARIMA/SARIMA, XGBoost, LightGBM, Regression, Random Forest.
• Hands‑on experience with TensorFlow / PyTorch / Keras / Scikit-learn.
• Good knowledge of NumPy and Pandas.
• Working knowledge of Linux, Git, and Docker.

Good to Have

• Experience with Edge AI / On-device AI
• GPU‑based training / CUDA
• NLP/NLU/NLG
• Experience with IoT, device, or sensor‑based applications