Machine Learning Engineer (Generative AI & Image Model
Specialist)
About Us:
We are a dynamic and innovative technology company dedicated to transforming
businesses through cutting-edge AI solutions. Our projects span diverse industries, and
we pride ourselves on staying at the forefront of machine learning and AI
advancements, especially in Generative AI, Large Language Models (LLMs), and
computer vision applications.
Position Overview:
We are seeking an experienced Machine Learning Engineer with a minimum of 4 years
in developing, deploying, and managing ML models, with robust expertise in MLOps.
The ideal candidate will possess advanced knowledge and hands-on experience with
training and fine-tuning models specifically on image data, with particular proficiency in
convolutional neural network (CNN) algorithms. You will play a critical role in shaping
our AI strategies, building scalable ML pipelines, and refining sophisticated AI models
through continuous optimization and fine-tuning for image processing applications.
Key Responsibilities:
- Design, develop, train, and fine-tune advanced machine learning models
- focusing on image datasets.
- Implement robust MLOps pipelines to support scalable and reliable deployment
- of image-based ML models.
- Stay updated with the latest advancements in Generative AI, image modeling
- techniques, and specifically CNN algorithm improvements.
- Fine-tune pre-trained models for computer vision tasks such as image
- classification, object detection, segmentation, and generative image synthesis.
- Collaborate closely with cross-functional teams, including data scientists,
- software engineers, and product managers, to deliver comprehensive imagedriven AI solutions.
- Conduct rigorous testing, model validation, and performance monitoring to
- ensure high accuracy and reliability of image models.
- Provide mentorship and guidance on best practices related to ML engineering,
- image processing, CNN architectures, and Generative AI.
Qualifications:
- Bachelor's degree or higher in Computer Science, Data Science, AI, or a related
- field.
- Minimum 4 years of professional experience as a Machine Learning Engineer
- with a focus on image data.
- Demonstrable expertise in CNN architectures and image-focused machine
- learning tasks.
- Experience in working with large-scale ML engines and systems.
- Valuable contributions to open-source machine learning projects are highly
- desirable.
- Deep understanding and practical experience in MLOps, including experience
- with Docker, Kubernetes, cloud platforms (AWS, Azure, or GCP), CI/CD
- pipelines, and monitoring tools.
- Hands-on experience fine-tuning image-based models using frameworks like
- TensorFlow, PyTorch, Hugging Face, and related libraries.
- Strong coding skills in Python and proficiency in software engineering best
- practices.
- Excellent analytical skills with the ability to translate complex business
- requirements into technical solutions.
- Strong cross-functional collaboration skills, excellent communication abilities, and
- experience working collaboratively in agile, dynamic environments.
What We Offer:
- A stimulating and collaborative work environment at the cutting-edge of
- technology.
- Opportunities for professional growth and continuous learning.
- Competitive salary package, including attractive benefits and flexible working
- arrangements.
- Join us in our mission to harness the power of AI to create impactful solutions. We look
- forward to welcoming a passionate, driven, and innovative ML Engineer to our team.
