Machine Learning Engineer

Job Description

Title: Machine Learning Engineer

Company Name: Advanced Chemical Industries PLC (ACI)

Vacancy: --

Age: 26 to 30 years

Job Location: Dhaka (Tejgaon Industrial Area)

Salary: Negotiable

Experience:

• At most 2 years
• The applicants should have experience in the following business area(s): Manufacturing (FMCG), Wholesale, Food (Packaged)/Beverage, Agro based firms (incl. Agro Processing/Seed/GM), Electronic Equipment/Home Appliances, Group of Companies, Chemical Industries, Automobile, Paint, Toiletries

• Master of Science (MSc) in Computer Science & Engineering

• At most 2 years
• The applicants should have experience in the following business area(s): Manufacturing (FMCG), Wholesale, Food (Packaged)/Beverage, Agro based firms (incl. Agro Processing/Seed/GM), Electronic Equipment/Home Appliances, Group of Companies, Chemical Industries, Automobile, Paint, Toiletries

• Age 26 to 30 years

Required Skills and Expertise:

• Strong proficiency in Python programming and machine learning development.

• Hands-on experience with PyTorch, Hugging Face Transformers, OpenCV, and deep learning workflows.

• Experience working with Large Language Models (LLMs), RAG pipelines, embeddings, and vector databases.

• Familiarity with inference optimization frameworks such as NVIDIA Triton Inference Server, TensorRT, or similar technologies.

• Experience developing APIs and backend services using FastAPI or Django.

• Knowledge of GPU-based model training and inference workflows.

• Experience with dataset preparation, web scraping, and data preprocessing techniques.

• Understanding of model quantization, Lora-FineTuning/SFT techniques, optimization, and efficient deployment practices.

• Familiarity with Linux environments, Docker, and GPU-enabled AI systems.

Preferred Skills:

• Experience with multimodal AI systems involving text, image, audio, or video data.

• Experience with distributed inference or scalable AI serving systems.

• Familiarity with MongoDB, SQL, or other database technologies.

Job Context:

The role requires strong experience in machine learning, deep learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), NLP, Computer Vision, vector databases, and scalable inference systems. The selected candidate will work on developing production-ready AI applications, optimizing model performance, preparing datasets, and integrating AI solutions into internal platforms and services.

Job Responsibilities:

• Develop, train, fine-tune, and optimize machine learning and deep learning models using Python and modern AI frameworks.

• Work on NLP, Audio/Speech, Computer Vision, Generative AI, and multimodal AI applications using frameworks such as PyTorch, Hugging Face, OpenCV, and related technologies.

• Fine-tune and integrate Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) pipelines for domain-specific AI solutions.

• Design and manage vector database pipelines for embedding storage, indexing, semantic search, and efficient retrieval.

• Deploy and scale inference pipelines using NVIDIA inference servers and GPU-accelerated serving frameworks for efficient production inference.

• Implement model optimization techniques including quantization and efficient inference strategies to improve latency and resource utilization.

• Develop APIs and backend services using FastAPI or Django for integration of AI models into applications and internal systems.

• Collect, preprocess, clean, and curate datasets from online sources using web scraping and automated data collection techniques.

• Perform data preprocessing, annotation, augmentation, and feature preparation for machine learning model training and evaluation.

• Conduct experiments, evaluate model performance, and continuously improve model accuracy, robustness, and efficiency.

• Research and evaluate emerging AI technologies, frameworks, and deployment approaches to support continuous innovation.