AI Engineer

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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.