Software Engineer (AI)

Job Description

Title: Software Engineer (AI)

Company Name: SIMEC System Ltd

Vacancy: 1

Age: Na

Job Location: Dhaka (Uttara)

Salary: Negotiable

Experience:

• 2 to 6 years
• The applicants should have experience in the following business area(s): Software Company

• Bachelor of Science (BSc)
• Master of Science (MSc)

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field (or equivalent experience).

• 2 to 6 years
• The applicants should have experience in the following business area(s): Software Company

• Strong programming skills in Python (and experience with libraries such as TensorFlow, PyTorch, scikit-learn, OpenCV, Hugging Face).
• Solid understanding of machine learning, deep learning, and data science principles.
• Experience working with structured and unstructured data.
• Familiarity with cloud platforms (AWS, GCP, Azure) and ML deployment tools.
• Knowledge of APIs, microservices, and software development best practices.
• Strong analytical and problem-solving abilities.
• Experience with large language models (LLMs) and generative AI.
• Knowledge of MLOps tools (Kubeflow, MLflow, Airflow, Docker, Kubernetes).
• Exposure to reinforcement learning or advanced optimization techniques.
• Background in statistics, applied mathematics, or computational modeling.

Context:

We are looking for a talented Software Engineer (AI) to join our growing technology team. You will design, build, and deploy artificial intelligence and machine learning solutions that power intelligent products and data-driven decision-making. This role requires strong technical expertise, problem-solving skills, and a passion for developing scalable AI models and systems.

Key Responsibilities:

• Design, develop, and deploy AI/ML models for real-world applications.

• Build and optimize algorithms for tasks such as natural language processing, computer vision, predictive analytics, and recommendation systems.

• Preprocess and analyze large datasets to ensure data quality and usability.

• Integrate AI models into applications, services, or workflows.

• Collaborate with software engineers, data scientists, and product managers to deliver AI-powered features.

• Research and evaluate new AI techniques, frameworks, and tools.

• Monitor, maintain, and improve the performance of deployed models.