Are you passionate about building intelligent systems and deploying them at scale? Join our team as a Machine Learning Engineer and help shape the future of AI-driven solutions.
🔧 What You’ll Do:
⌛ Design and develop end-to-end ML pipelines, including data ingestion, preprocessing, model training, evaluation, and deployment.
⌛ Work with cloud platforms such as AWS, GCP, or Azure for scalable model deployment.
⌛ Leverage MLOps tools to automate, monitor, and manage production ML workflows.
⌛ Collaborate with data scientists, engineers, and product teams to build impactful AI solutions.
⌛ Continuously improve model performance through experimentation and optimization.
✅ What We’re Looking For:
⏳ Strong programming skills in Python, with hands-on experience in ML libraries like TensorFlow, PyTorch, scikit-learn, etc.
⏳ Proven experience building and deploying machine learning models into production.
⏳ Solid understanding of machine learning fundamentals, including supervised and unsupervised learning, evaluation metrics, and model tuning.
⏳ Experience with cloud platforms (AWS, GCP, or Azure) and familiarity with containerization (Docker, Kubernetes) is a plus.
⏳ Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related field (required).
⏳ Certifications in ML/AI/Data Science (Coursera, edX, AWS ML, Google Cloud ML) are a strong plus.
⏳ Strong foundation in mathematics and statistics, especially in linear algebra, probability, and optimization.
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