
Intelligent Systems Developer
1 day ago
Job Title: Intelligent Systems Developer
Artificial Intelligence EngineerWe are seeking a skilled and innovative Artificial Intelligence Engineer to join our team. As an AI Engineer, you will play a key role in transforming business concepts into impactful data-driven AI applications.
Your primary responsibility will be to bridge the gap between innovative ideas and tangible AI solutions, encompassing the entire lifecycle from model development to real-world deployment.
You will work closely with cross-functional teams to ensure that AI initiatives deliver significant value and are seamlessly integrated into our products.
About the Role:- Lead AI Development: Translate business ideas into well-defined AI/ML problem statements and robust model architectures.
- Innovate and Build: Develop custom AI/ML models from scratch and fine-tune existing architectures (LLMs, transformers, CNNs, etc.) to address specific challenges.
- Data Mastery: Collect, clean, analyze, and structure diverse data sets for effective model training and evaluation.
- Deploy and Optimize: Build scalable AI services/APIs and deploy optimized models into production environments, ensuring performance and reliability.
- Communicate and Educate: Collaborate with stakeholders and product teams to explain AI concepts, potential, and integration strategies.
- Drive AI Innovation: Stay at the forefront of AI advancements, contributing to brainstorming sessions and fostering an AI-first approach in product development.
- Strong programming skills in Python with proficiency in TensorFlow, PyTorch, or similar frameworks.
- Solid understanding of various AI/ML model architectures (LLMs, NLP, CV, classification/regression).
- Experience with end-to-end AI system development, from data ingestion to model serving.
- Familiarity with tools like Docker, FastAPI, Hugging Face, LangChain, or related ecosystems.
- Strong data analysis and problem-solving abilities.
- Excellent communication skills, capable of explaining complex technical concepts to non-technical audiences.
- Ability to work effectively in a collaborative, fast-paced environment.
- Strong organizational skills and attention to detail.
- Strong analytics skills with focus on data mining, dashboard outlining.
- Ability to manage multiple tasks and meet deadlines.
- Proficient in project coordination and reporting.
- Excellent written and verbal communication skills in English.
- Strong time management and multitasking skills.
A minimum of 3–5 years of hands-on experience in AI/ML model development, training, and deployment is required.
Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field is preferred.
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