AI Engineer
Full time @Apex Data Management & IT Ltd posted 1 day ago in Computer & Information Technology Shortlist Email JobJob Detail
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Job ID 23334
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Career Level Executive
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Experience 3-4 Years
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Min. Qualification Bachelor's Degree
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Gender Male
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Industry Experience IT
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Candidate Age 28 to 40 years
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No. of Vacancy 1
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Job Location Dhaka Division
Job Description
Education
- Bachelor of Science (BSc)
- Bachelor’s degree in CSE, EEE, Data Science, or a related field.
Experience
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- 3 to 5 years
- The applicants should have experience in the following business area(s): Software Company, IT Enabled Service
Additional Requirements
- Age 28 to 40 years
Required Skills
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Strong foundation in Python programming.
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Solid understanding of machine learning and deep learning concepts.
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Hands-on experience with PyTorch, TensorFlow, or scikit-learn.
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Knowledge of Computer Vision (OpenCV, YOLO, Detectron2, etc.) OR NLP/LLMs (Transformers, HuggingFace, etc.).
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Experience from professional projects, research, GitHub contributions, Kaggle work, or competitions.
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Strong problem-solving ability, curiosity, and a continuous learning mindset.
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Exposure to LangChain, RAG pipelines, or multi-agent AI systems.
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Familiarity with AWS, Docker, cloud deployment, API integration, and version control.
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Understanding of vector databases & embeddings (FAISS, Pinecone, Milvus, etc.).
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Awareness of ethical AI, data privacy, and responsible model development.
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Ability to collaborate effectively in Agile/Scrum teams and deliver work in iterative development cycles.Â
Responsibilities & Context
Job Context
Apex DMIT is expanding its AI capability and looking for an experienced AI Engineer skilled in Computer Vision, Agentic AI Systems, and RAG (Retrieval-Augmented Generation). You will collaborate with cross-functional teams to build intelligent, scalable, and real-world AI applications for enterprise products, SaaS platforms, and internal automation solutions.
Job Responsibilities
- Develop and optimize Computer Vision models for image/video classification, detection, and segmentation.
- Build Agentic AI systems capable of autonomous reasoning, planning, and multi-step task execution.
- Design and implement RAG pipelines using embeddings, vector databases, and LLM-based retrieval.
- Implement data ingestion pipelines and build preprocessing workflows for image, text, and structured data.
- Integrate AI modules with backend services, APIs, and production systems.
- Build multi-agent architectures that combine vision, text, and contextual understanding.
- Conduct research, run experiments, and deliver POCs for new AI features.
- Prepare high-quality documentation, maintain model versioning, and ensure reproducibility.
- Collaborate with developers, QA engineers, designers, and product managers to deliver AI-powered features.
Compensation & Other Benefits
- Weekly 2 holidays
- Salary Review: Yearly
- Festival Bonus: 2
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Long Service Bonus.
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In-House/Outbound Training: Professional development opportunities through workshops and training sessions. Shared Contribution for Training & Certification
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