AI Engineer

About the Role:

We are seeking a skilled AI Engineer to design, develop, and deploy intelligent systems that drive business impact. The ideal candidate will have hands-on experience in building machine learning and deep learning models, managing the full AI project lifecycle, and working collaboratively with cross-functional teams to deliver scalable AI solutions.

Key Responsibilities:

Design, develop, train, and optimize machine learning and deep learning models.

Manage the end-to-end lifecycle of AI/ML projects — from data collection and preprocessing to model deployment and monitoring.

Collaborate with data scientists, software engineers, and business stakeholders to translate business challenges into AI-driven solutions.

Implement and fine-tune algorithms for Computer Vision, NLP, Recommendation Systems, or Predictive Analytics based on project requirements.

Deploy models into production using MLOps best practices and ensure scalability and performance.

Continuously research and experiment with the latest AI/ML tools, frameworks, and methodologies.

• Troubleshoot, maintain, and improve existing AI models and data pipelines.

Required Skills & Qualifications:

3+ years of proven experience in AI/ML model development and deployment.

Strong programming expertise in Python and related libraries (TensorFlow, PyTorch, Scikit-learn, Keras, OpenCV, NLTK, etc.).

Experience with data analysis and manipulation using Pandas, NumPy, etc.

Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML development and deployment.

Understanding of MLOps tools and practices (Docker, Kubernetes, MLflow, CI/CD pipelines) is a plus.

Solid grasp of statistics, linear algebra, and probability.

• Strong analytical, problem-solving, and communication skills.

Preferred Skills (Good to Have):

Hands-on experience with Large Language Models (LLMs) and Generative AI tools (OpenAI, Hugging Face, LangChain, etc.).

Exposure to Big Data frameworks such as Spark or Hadoop.

Experience with API development and integration.

• Prior experience developing AI-powered applications for NLP, Computer Vision, Speech Recognition, or Recommendation Systems.