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AI / ML Engineer

AI / ML Engineer

Hirein5Delhi, IN
7 days ago
Job type
  • Remote
Job description

Job Description :

We are seeking a highly skilled and motivated 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 :

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

Qualifications :

  • Education : Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field. A Ph.D. is a plus.
  • Experience : 1+ 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
  • (ref : hirist.tech)

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