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12 Weeks ago

AI Engineer Intern

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Information Technology
Full-Time
Assessli

Overview

Job Description

AI/ML Engineer

Location: Kolkata, India

Company: Assessli

About Us:

Assessli is transforming personalized learning with the power of AI. We provide an integrated platform that draws from psychological, neuropsychological, genomic, physiological, academic, professional, medical, personal, and financial data to create a truly customized learning experience. We're at the cutting edge of technology and education, and we’re looking for like-minded innovators to join us.

Position Overview:

We are seeking a skilled and motivated AI/ML. As an AI/ML Engineer, you will be responsible for designing, implementing, and optimizing machine learning models that power the core functionality of our personalized learning platform. You will work closely with data scientists, product managers, and developers to integrate advanced AI models into our system and continually refine them for better performance. If you have a passion for AI and machine learning and are eager to make a meaningful impact in the education technology space, this role is for you.

Key Responsibilities:

- Design, develop, and implement machine learning models for various tasks, including recommendation systems, predictive analytics, and natural language processing, Gen AI.

- Preprocess, clean, and analyze large datasets to extract actionable insights for AI-driven features.

- Collaborate with data scientists, software engineers, and domain experts to integrate AI/ML models into our platform.

- Conduct model training, hyperparameter tuning, and performance evaluations to optimize AI algorithms.

- Stay current with the latest AI/ML research and apply cutting-edge techniques to solve complex problems.

- Monitor the performance of deployed models and continuously improve their accuracy, efficiency, and scalability.

- Build and maintain data pipelines and infrastructure for efficient model training and deployment.

- Document AI/ML models, processes, and best practices for the team.

Requirements:

- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

- Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.

- Strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning techniques.

- Experience in working with large datasets and big data technologies (e.g., Hadoop, Spark).

- Familiarity with natural language processing (NLP), computer vision, and neural networks.

- Experience with data preprocessing, feature engineering, and model optimization.

- Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud for AI/ML model deployment.

- Strong mathematical and statistical foundations, including knowledge of linear algebra, probability, and optimization.

- Excellent problem-solving abilities and attention to detail.

- Strong communication and collaboration skills.

Preferred Qualifications:

- Experience with deep learning architectures (e.g., CNNs, RNNs, LSTMs).

- Proficiency in SQL, NoSQL databases, and data warehousing solutions.

- Familiarity with MLOps practices, tools, and workflows (e.g., Docker, Kubernetes, MLflow).

- Knowledge of explainable AI (XAI) and model interpretability techniques.

- Experience with version control (Git) and agile development methodologies.

- Background in educational technology or similar domains.

What We Offer:

- Competitive salary/stipend and benefits package.

- Dynamic startup environment with opportunities to work on cutting-edge AI solutions.

- Collaborative, inclusive, and innovative work culture.

- Professional development, learning, and growth opportunities.

- A chance to be at the forefront of AI technology in the education sector.

Job Type: Internship
Contract length: 3-6 months

Schedule:

  • Day shift

Application Question(s):

  • Do you have your own device for work?

Location:

  • Bidhannagar, Kolkata, West Bengal (Required)

Work Location: In person

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