Applied AI Research - Intern

Company Overview:

eComSuite is a SaaS startup revolutionizing how e-commerce sellers in India manage their businesses. Our comprehensive platform delivers inventory management, data-driven insights, advertising optimization, and competitor research-all tailored to the Indian e-commerce ecosystem. Founded in September 2024, we're on a mission to empower sellers with affordable, integrated analytics tools that drive growth.

Role Overview:

We are seeking a highly driven and intellectually curious Applied AI Research Intern to join our innovative team. This role is perfect for someone passionate about bridging the gap between theoretical AI/ML research and practical business applications. You will be instrumental in exploring, validating, and helping to bring AI-powered features to life that directly address key challenges faced by marketplace sellers. If you thrive on complex problems, enjoy hands-on experimentation, and want to see your insights turn into tangible product features, this opportunity is for you.

Location: Remote.

Responsibilities:

• AI Model Landscape Analysis: Research and evaluate various types of AI/ML models (e.g., NLP models like Transformers, LLMs, topic modeling, recommendation systems, computer vision models, traditional ML algorithms) for their suitability across different business functions.
• Use Case Mapping: Systematically identify and map appropriate AI models to specific e-commerce business challenges, such as:
  • Competitor Analytics: Identifying market trends, pricing strategies, product gaps.
  • Keyword Research & Recommendations: Generating relevant keywords, optimizing search performance.
  • Listing Content Optimization: Enhancing product descriptions, titles, and images using AI (e.g., for SEO, conversion).
  • Customer Behavior Prediction.
• Feasibility & Limitation Assessment: Understand the strengths, weaknesses, data requirements, and computational feasibility of different models for real-world application.
• Proof-of-Concept (PoC) Execution: Develop and execute small-scale Proof-of-Concepts (PoCs) to validate the technical feasibility and potential impact of selected AI models for specific use cases.
• Tool & Framework Exploration: Investigate existing AI tools, APIs, and open-source frameworks that can be leveraged for these use cases.
• Collaborative Implementation Support: Work closely with our Product and Fullstack Tech team to provide insights and support during the potential implementation phases of AI features, ensuring a smooth transition from research to production.
• Documentation & Presentation: Summarize findings, create clear reports, and potentially present recommendations to technical and non-technical stakeholders.

Required Qualifications:

• Foundational AI/ML Knowledge:
  • Basic Understanding of ML Concepts: Supervised vs. unsupervised learning, classification, regression, clustering, dimensionality reduction.
  • Familiarity with Core AI Model Types: Neural Networks, Transformers (for NLP), Recommendation Systems (e.g., collaborative filtering, content-based), traditional ML algorithms (e.g., tree-based models).
  • Understanding of NLP Basics: Text embedding, tokenization, sentiment analysis, named entity recognition.
  • Awareness of Computer Vision Basics.
• Technical Aptitude:
  • Proficiency in Python: The primary language for AI/ML development. This is crucial for exploring models and potentially running small proofs-of-concept.
  • Familiarity with ML Libraries: Exposure to libraries like TensorFlow/PyTorch (for understanding model architectures), scikit-learn, Hugging Face Transformers (for NLP).
  • Data Handling: Basic skills in Pandas and NumPy for data manipulation during research.
  • Research Tools: Ability to navigate and understand academic papers, technical blogs, and documentation.
  • Familiarity with Hugging Face, Amazon Bedrock, GCP Vertex AI or similar tech stacks.
• Analytical & Critical Thinking:
  • Strong Research Skills: Ability to independently find, synthesize, and evaluate information from various sources.
  • Problem-Solving Mindset: Capacity to break down complex business problems and think about how AI can provide solutions.
  • Curiosity & Eagerness to Learn: AI is rapidly evolving, so a strong desire to keep up with new advancements is key.
• Communication Skills:
  • Excellent Written Communication: To document research findings clearly and concisely.
  • Good Verbal Communication: To articulate ideas and recommendations effectively.
• Domain Interest (Nice-to-Have but Highly Beneficial).
• Interest in e-commerce, digital marketing, SEO, and marketplace dynamics. This will help them understand the business context quickly.

What We Offer:

• Gain hands-on experience in modern AI and product development.
• Work closely with experienced professionals in the e-commerce industry.
• Contribute directly to the development of innovative tech platforms.
• Flexible work arrangements and a supportive team environment.
• Competitive stipend.

Duration: This internship is for 3-6 months, offering a significant opportunity for a full-time role conversion upon successful performance and alignment with our company strategy

Qualified candidates are invited to apply with their resume and a brief description of relevant experience. eComSuite values diversity and is committed to creating an inclusive environment for all employees.

Please send your application to hr@ecomsuite.com