AI Engineer: Driving Business Value through Machine Learning

2 weeks ago

Delhi, Delhi, India Hirein5 Full time

Salary: 10LPA - 30LPA

We are seeking a highly skilled Artificial Intelligence and Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in AI/ML, data science, and software engineering, with experience in building, deploying, and optimizing machine learning models in real-world applications.

Key Responsibilities:

  • Design, develop, and implement machine learning models and algorithms tailored to business needs, including supervised, unsupervised, and reinforcement learning models.
  • Collect, clean, and preprocess large datasets to ensure data quality and integrity.
  • Train, test, and tune models to achieve high accuracy and performance. Optimize models for efficiency and scalability.
  • Deploy machine learning models into production environments, ensuring smooth integration with existing systems.
  • Stay updated with the latest AI/ML research and techniques. Apply innovative approaches to solve complex problems.
  • Work closely with cross-functional teams including data scientists, software engineers, and product managers to deliver AI-driven solutions.
  • Create comprehensive documentation for models, processes, and systems to ensure maintainability and reproducibility.
  • Provide guidance and mentorship to junior engineers and interns within the team.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field. A Ph.D. is a plus.
  • 5-10 years of hands-on experience in AI/ML, data science, or related fields.

Technical Skills:

  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Strong understanding of statistical methods, data mining, and predictive modeling techniques.
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) for model deployment.
  • Familiarity with big data tools (e.g., Hadoop, Spark) and databases (SQL/NoSQL).
  • Knowledge of natural language processing (NLP), computer vision, or other specialized AI areas is a plus.

Preferred Qualifications:

  • Experience with AI/ML in specific domains such as finance, healthcare, e-commerce, etc.
  • Contributions to open-source AI/ML projects or publications in peer-reviewed journals.
  • Certifications in AI/ML from recognized institutions or platforms.

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