AI/ML Software Engineer

3 weeks ago

Bengaluru, India Recro Full time

Job Title: AI/ML Software Engineer

Location: Bengaluru, Karnataka, India

Experience: 6-10 years


Responsibilities:


Solution Architecture:

  • Collaborate with cross-functional teams to define the technical architecture and infrastructure required for the adaptive learning solution.
  • Collaborate with stakeholders to translate business requirements into technical solutions.

Algorithm Development:

  • Develop and implement machine learning algorithms for analyzing digital learning objects and recommending personalized learning paths.
  • Design algorithms for skill assessment, content recommendation, and student progress tracking using granular learning analytics data.

Learning Progression Mapping:

  • Utilize learning progression maps to guide the delivery of relevant content and skills to students.

Content Customization & Generation:

  • Customize existing learning objects and assessments based on student preferences and learning styles.
  • Utilize large language models and generative AI solutions to create new content themes while maintaining key ideas and skills.

Data Collection and Preprocessing:

  • Design data pipelines to collect and preprocess large volumes of student data, ensuring data quality and privacy compliance.
  • Perform feature engineering on large-scale educational datasets.

Model Training and Evaluation:

  • Train, validate, and optimize machine learning models for skill assessment, content recommendation, and student progress tracking.

User Interface Integration:

  • Collaborate with front-end developers to integrate AI-driven features into the user interface.

Monitoring and Optimization:

  • Continuously monitor and enhance the adaptive learning solution based on granular learning analytics data.
  • Optimize AI/ML solutions in production environments.

Data Analytics and Reporting:

  • Develop dashboards and reporting tools to track student progress and provide insights to educators and administrators.

Documentation:

  • Maintain comprehensive documentation of the AI/ML architecture, algorithms, and processes.


Required Skills and Experience:


Technical Expertise:

  • Strong software engineering background with expertise in full-stack development, including front-end, back-end, and database technologies.
  • Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or similar.
  • Strong programming skills in languages such as Python, Java, or C++.
  • Experience with large language models (e.g., GPT-3, GPT-4) and frameworks like LangChain/HuggingFace, LangFlow, or FlowiseAI.
  • Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and distributed computing.
  • Familiarity with open-source frameworks and tools (FoSS) and their copyleft implications.

Machine Learning Knowledge:

  • Understanding of machine learning concepts, including supervised, unsupervised, deep-learning, transformers, and reinforcement learning.
  • Proven experience in deep learning, machine learning model selection, and benchmarking.

Mathematics and Statistics:

  • Strong foundation in mathematics and statistics.

Analytical Skills:

  • Excellent problem-solving and critical-thinking skills.
  • Strong analytical and data-driven decision-making skills.

Communication & Teamwork:

  • Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
  • Effective communication skills to present technical concepts to non-technical stakeholders.

Continuous Learning:

  • Continuous learning mindset and a passion for staying up-to-date with the latest advancements in AI/ML and education technology.

Fast-Paced Environment:

  • Ability to work in a fast-paced, research-oriented environment.


Preferred Qualifications:


Cloud-based AI/ML:

  • Hands-on experience with cloud-based AI/ML services, such as AWS SageMaker, Google Cloud AI, or Microsoft Azure ML.

Web Development:

  • Working knowledge of NodeJS frameworks such as ReactJS, VueJS, or Svelte.

Agile & DevOps:

  • Familiarity with agile software development methodologies and DevOps practices.

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