Machine Learning Engineer (Remote)

Active

Artificial Intelligence, Energy

Dhaka

Full Time

Any

Vacancy 1 position

Contact email operations@enerzyz.com

Salary & vacancy

1 vacancy

Job Description

Enerzyz is looking for a Machine Learning Engineer in Dhaka to join their mission of building intelligent AI systems for energy and facility optimization. This remote, full-time role involves working with messy time-series data, fine-tuning predictive models, deploying on edge devices, and integrating with LLMs. You will tackle challenges in time-series intelligence, ML systems & MLOps, edge AI, and applied engineering, shipping real systems that have a tangible impact. The ideal candidate loves analytical problem-solving, learns exceptionally fast, and has a strong sense of ownership and urgency.

The position offers a competitive salary, fully subsidized lunch, and a weekly work-from-home day. While up to 1 year of experience is required, freshers with proven hands-on ML experience are welcome to apply. To be considered, send your GitHub/portfolio and a brief note on the most interesting ML problem you’ve solved to operations@enerzyz.com. This is a fantastic career opportunity for a budding ML engineer in Dhaka to work on advanced AI applications under expert mentorship and contribute to innovative solutions in the energy sector.

Requirements

Education Requirements

Minimum education level expected.

Bachelor’s degree in Engineering or related field

Experience Requirements

Professional experience required for this position.

Up to 1 year of relevant experience in machine learning or a related field

Qualifications

Key qualifications and attributes sought.

Strong analytical and problem-solving skills
Ability to learn new concepts quickly
Hands-on experience with ML projects

Skill Requirements

Python
PyTorch / TensorFlow
Time-series ML (LSTM, Transformers, classical forecasting)
MLOps tools (MLflow, Weights & Biases)
Containerization (Docker)
Orchestration (Kubernetes)
Edge inference (ONNX, TensorRT)
Data pipelines (Airflow, Prefect)
LLM APIs and open-source models

Incentive & compensation

Competitive Salary
Fully Subsidized Lunch
Weekly 1 day Work From Home (WFH)

How to apply for Enerzyz jobs

Follow these steps to apply for the Machine Learning Engineer position.

Prepare your GitHub profile or portfolio showcasing relevant projects.
Write a short note answering: “What is the most interesting ML problem you have ever solved?”
Email your portfolio link and the short note to: operations@enerzyz.com
Freshers with hands-on ML experience are encouraged to apply.

About Enerzyz

Enerzyz is a technology company focused on building the AI brain for facility performance optimization. They develop systems that analyze massive streams of time-series data from commercial, industrial, and utility energy systems to predict failures, optimize assets in real-time, and reduce energy costs. Their work sits at the intersection of machine learning research, production systems, and applied AI engineering, creating solutions used by real operators and engineers.