AI MLEngineer

AI/ML Engineer

About the Role

AI/ML Engineer

Key Responsibilities

• Design, implement, and optimize

  machine learning models

  for classification, prediction, recommendation, or NLP tasks.
• Develop and deploy

  AI solutions

  across various platforms and environments (cloud, on-premises, edge).
• Preprocess and analyze large datasets for training and evaluation.
  
• Collaborate with data engineers, data scientists, and software developers to integrate AI models into production.
  
• Evaluate model performance, tune hyperparameters, and ensure scalability.
  
• Research and implement

  state-of-the-art algorithms

  and emerging techniques in AI and ML.
• Document processes, models, and results to ensure reproducibility and transparency.
  

Required Skills and Qualifications

• Bachelors or Masters degree in

  Computer Science, Data Science, Artificial Intelligence, Mathematics, or related field

  .
• Strong programming skills in

  Python

  (experience with libraries such as

  TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas

  ).
• Solid understanding of

  machine learning algorithms

  (supervised, unsupervised, reinforcement learning).
• Experience with

  data preprocessing, feature engineering, and model evaluation

  .
• Knowledge of

  statistics

  ,

  probability

  , and

  mathematical modeling

  .
• Experience with

  version control (Git)

  and

  collaborative development

  workflows.
• Familiarity with

  cloud platforms

  (AWS, GCP, Azure) and ML services (SageMaker, Vertex AI, Azure ML).

Preferred Qualifications

• Experience with

  deep learning

  (CNNs, RNNs, Transformers, LLMs).
• Familiarity with

  NLP

  ,

  computer vision

  , or

  generative AI

  techniques.
• Experience with

  MLOps

  tools (MLflow, Kubeflow, DVC).
• Knowledge of

  data pipelines

  and

  big data technologies

  (Spark, Hadoop).
• Prior experience deploying models in production environments (APIs, containers, microservices).
  
• Contributions to open-source AI/ML projects or published research papers.