Experience
+5
Seniority level
Senior
Employment type
Full-Time
Overview
We are looking for a Senior AI Engineer to join our dynamic development team. The ideal candidate will be responsible for designing, developing, and deploying AI-driven systems and solutions that enhance our software products. You will collaborate with cross-functional teams to translate business requirements into intelligent, data-driven applications.
Responsibilities
Design, build, and optimize AI and machine learning models for real-world applications.
Develop and implement NLP, LLM, or predictive analytics solutions as required.
Collaborate with data engineers and backend developers to integrate AI components into production systems.
Stay up to date with the latest AI research, frameworks, and tools to enhance our technical capabilities.
Lead code reviews, mentor junior AI engineers, and contribute to best practices in AI model development and deployment.
Ensure scalability, efficiency, and reliability of AI pipelines and APIs.
Work closely with product managers to understand business problems and design AI-driven solutions.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
5+ years of experience in AI/ML engineering, preferably within a software development environment.
Strong proficiency in Python and key libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV, or Hugging Face.
Experience in NLP, Decision Engines, deep learning, and generative AI.
Solid understanding of data preprocessing, model training, evaluation, and deployment.
Experience with cloud-based ML services (AWS SageMaker, GCP AI Platform, Azure ML, etc.).
Proficiency in API integration and deploying AI models in production environments (e.g., Docker, FastAPI, Django).
Strong problem-solving and analytical thinking skills.
Excellent communication and leadership abilities.
Nice to Have:
Experience with LLMs (Large Language Models) and AI agent development.
Knowledge of MLOps, CI/CD for ML pipelines, and model monitoring.
Prior work in software product companies or startups.
Experience in Fintech, Decision Engines or Scoring
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