AI/ML Engineer

Role Overview

We are seeking a highly skilled
AI/ML Engineer
to design, develop, and deploy scalable machine learning and artificial intelligence solutions. The ideal candidate will have strong experience in building production-grade ML models, data pipelines, and AI-driven applications that solve real business problems.

Key Responsibilities

• Design, develop, and deploy Machine Learning and Deep Learning models in production environments
• Build scalable data pipelines and feature engineering workflows
• Develop AI solutions using NLP, Computer Vision, or Predictive Analytics techniques
• Collaborate with Data Scientists, Software Engineers, and Product teams to translate business requirements into ML solutions
• Optimize model performance, scalability, and reliability
• Implement model monitoring, evaluation, and continuous improvement processes
• Work with cloud platforms for model deployment and automation
• Ensure best practices in code quality, testing, and MLOps

Required Skills

- Strong programming experience in
Python
(NumPy, Pandas, Scikit-learn)
- Hands-on experience with ML frameworks such as
TensorFlow, PyTorch, or Keras
- Experience with supervised and unsupervised learning algorithms
- Solid understanding of statistics, data modeling, and ML fundamentals
- Experience building REST APIs or integrating ML models into applications
- Knowledge of data processing tools (SQL, Spark, or similar)
- Familiarity with version control and CI/CD practices

Preferred Qualifications

- Experience with
NLP, LLMs, Generative AI, or Computer Vision
- Hands-on experience with
MLOps tools
(MLflow, Kubeflow, Airflow, SageMaker, etc.)
- Cloud experience with
AWS, Azure, or GCP
- Experience with Docker, Kubernetes, or microservices architecture
- Master’s or PhD in Computer Science, AI, Data Science, or related field