AI Engineer- For Regnum
7 days ago
Regnum
is looking for
AI Engineer
Job Description / Responsibility
- Assist in building and maintaining
computer vision–based workflows
for analyzing visual data streams, including detection, tracking, and rule-driven events. - Work with
Python-based pipelines
and libraries for image/video processing, model inference, and system integration. - Support
data preparation and validation tasks
, including organizing datasets, assisting with annotations, and ensuring data quality for model usage. - Help integrate vision-derived outputs with
backend services, APIs, and databases
for downstream processing and analytics. - Participate in
testing, debugging, and performance validation
of AI components using real-world data inputs. - Assist in developing
visualization and configuration tools
to monitor outputs, inspect results, and support operational workflows. - Follow established coding standards and contribute to
technical documentation
, experiment notes, and usage guidelines. - Collaborate with team members across engineering and product functions, supporting iterative development and improvement cycles.
- Gain exposure to
AI-driven decision workflows
, including systems where visual understanding is combined with higher-level reasoning or automation logic. - Actively learn and adapt to emerging AI paradigms, such as multi-step pipelines, tool-assisted models, and vision-language–based systems under guidance.
Educational Requirements
- Bachelor of Science (BSc) in Computer Science & Engineering
- Bachelor of Science (BSc) in Computing & Information System
- Skills Required: Python Programmer, Computer Vision, AI Development
Experience Requirements
- At most 2 year(s)
- The applicants should have experience in the following business area(s):
- Software Company,Developer
- Freshers are also encouraged to apply.
Additional Requirements
- Hands-on experience or strong familiarity with object detection frameworks such as YOLO, RF-DETR, and other modern detection libraries; ability to experiment, evaluate, and integrate pretrained models.
- Exposure to desktop application development using PyQt / PySide, especially for building internal tools, visualizations, or configuration panels.
- Basic working knowledge of Agentic AI tooling, including frameworks like LangChain and LangGraph, with interest in multi-step, tool-driven AI workflows.
- Awareness or project-level experience with generative models, including diffusion models, and the ability to understand where and how they fit into AI systems.
- Conceptual and practical understanding of model fine-tuning (LLMs, VLMs, ViT-based models), along with familiarity with Oracle DB, vector databases, and key ML lifecycle topics such as fine-tuning strategies.
Job Location
Dhaka (Tejgaon Industrial Area)
Salary
- Tk Monthly)
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