Senior Machine Learning Engineer

3 weeks ago

Industrial Area, India GEDU Services Full time

Position Overview:

We are looking for a highly skilled and experienced Senior AI/ML Engineer to join our team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and deep learning, with a proven track record of building and deploying scalable AI models in real-world applications.


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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