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    AI/ML Software Engineer - bangalore, India - Recro

    Recro
    Recro bangalore, India

    2 hours ago

    Default job background
    Technology / Internet
    Description

    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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