AI/ML Engineer

Key Responsibilities:

• Design, develop, train, and deploy

  machine learning models

  and

  deep learning algorithms

  .
• Analyze large datasets to extract insights and prepare data for modeling.
• Collaborate with cross-functional teams to understand business challenges and translate them into ML solutions.
• Implement production-ready models with proper scalability, performance, and monitoring.
• Conduct model evaluations, performance tuning, and retraining as needed.
• Build data pipelines and workflows using tools such as

  Apache Airflow

  ,

  Kafka

  , or

  AWS Glue

  .
• Contribute to research and development of new AI techniques and stay updated with industry trends.
• Create documentation, presentations, and demos for stakeholders.

Required Skills and Qualifications:

• Bachelor's or Master's degree in

  Computer Science

  ,

  Data Science

  ,

  Engineering

  , or a related field.
• 3+ years of hands-on experience in

  machine learning

  ,

  deep learning

  , and

  AI system development

  .
• Proficient in

  Python

  and libraries such as

  scikit-learn

  ,

  TensorFlow

  ,

  PyTorch

  ,

  Keras

  ,

  XGBoost

  , etc.
• Strong understanding of

  data preprocessing

  ,

  feature engineering

  , and

  model evaluation

  techniques.
• Experience with

  SQL

  ,

  NoSQL

  databases, and

  big data tools

  (Spark, Hadoop).
• Familiarity with

  cloud platforms

  like

  AWS

  ,

  GCP

  , or

  Azure

  for ML model deployment.

Preferred Skills:

• Experience with

  MLOps

  tools such as

  MLflow

  ,

  Kubeflow

  ,

  DVC

  , or

  SageMaker

  .
• Knowledge of

  NLP

  ,

  computer vision

  , or

  time-series forecasting

  .
• Exposure to

  containerization

  using Docker/Kubernetes.
• Experience with

  CI/CD pipelines

  and

  DevOps for ML workflows

  .