AI ML Engineer

Job Title: Senior AI/ML Engineer

Location:

Experience Required:

Employment Type:

Job Summary:

AI/ML Engineer

Key Responsibilities:

• Design, build, and deploy scalable machine learning models using Python and related frameworks.
• Analyze large, complex datasets to extract insights and drive strategic decision-making.
• Collaborate with data scientists, software engineers, and product managers to develop and integrate AI/ML solutions into production systems.
• Optimize and fine-tune ML models for performance, accuracy, and efficiency.
• Research and implement the latest algorithms in deep learning, NLP, computer vision, and recommendation systems.
• Deploy models using tools like Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Maintain and improve existing ML pipelines and infrastructure.
• Conduct A/B testing and statistical evaluations of model performance.
• Write clear, maintainable, and well-documented Python code.

• Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.
• 5+ years of hands-on experience in AI/ML engineering.
• Strong proficiency in

  Python

  and ML libraries such as

  scikit-learn, TensorFlow, PyTorch, Keras, XGBoost

  , etc.
• Solid understanding of machine learning algorithms, deep learning architectures, and statistical analysis.
• Experience with

  data preprocessing

  ,

  feature engineering

  , and

  model evaluation techniques

  .
• Familiarity with

  cloud-based ML deployment

  (AWS SageMaker, GCP AI Platform, or Azure ML).
• Experience working with

  Docker

  ,

  Kubernetes

  , and

  CI/CD pipelines

  for ML projects.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

Preferred Qualifications:

• Experience in

  NLP

  ,

  computer vision

  , or

  generative AI

  .
• Exposure to

  MLOps

  practices and tools (MLflow, Kubeflow, DVC).
• Publications or contributions to open-source ML projects.
• Familiarity with

  big data

  technologies like Spark, Hadoop, or Hive.

Why Join Us?

• Cutting-edge AI/ML projects across various domains.
• Collaborative and innovative work environment.
• Opportunities for growth and continuous learning.
• Flexible working arrangements and competitive salary package.

Thanks,

Renuka