Artificial Intelligence Engineer

Position Overview:

Senior AI/ML Engineer

Key Responsibilities:

• Design, develop, and deploy scalable AI/ML models and algorithms for real-time or batch processing applications.
• Collaborate with cross-functional teams including data engineering, software development, and product management to integrate AI solutions into products.
• Conduct in-depth research and experimentation to improve model performance and develop new approaches using state-of-the-art techniques.
• Evaluate and optimize ML models for speed, accuracy, and scalability.
• Maintain and improve existing ML infrastructure, pipelines, and toolkits.
• Mentor junior developers and contribute to AI/ML best practices and standards.
• Stay current with the latest research and developments in the AI/ML space.

Required Skills and Qualifications:

• 6+ years of experience

  in and deploying machine learning and AI solutions.
• Strong programming skills in

  Python

  (with libraries like TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, etc.).
• Solid understanding of

  machine learning algorithms

  ,

  statistical modelling

  ,

  data preprocessing

  , and

  feature engineering

  .
• Experience in building and tuning

  deep learning models

  (CNNs, RNNs, Transformers, etc.).
• Proficiency in working with

  cloud platforms

  (AWS, GCP, Azure) and

  ML Ops

  tools (MLflow, Kubeflow, etc.).
• Experience with

  big data technologies

  (e.g., Spark, Hadoop) and

  data pipelines

  .
• Strong problem-solving skills and ability to translate business needs into technical solutions.
• Familiarity with

  model explainability

  ,

  bias mitigation

  , and

  responsible AI

  practices.
• Experience in

  natural language processing (NLP)

  ,

  computer vision

  , or

  recommendation systems

  .
• Familiarity with

  containerization and orchestration

  tools (Docker, Kubernetes).
• Published papers or contributions to open-source ML/AI projects.

Certifications (Good to have any)

• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate
• AWS Certified Machine Learning – Specialty
• TensorFlow Developer Certificate

Experience:

• 6+ years of experience

  in and deploying machine learning and AI solutions.

Educational Qualification(s):

• Bachelor’s in computer science, Machine Learning, Data Science, or a related field.

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