explore groundbreaking Research Opportunities through our internship program! 

DISCOVER,
INNOVATE and
GROW!

discover, innovate, and grow! - DIVE INTO THE WORLD OF RESEARCH WITH OUR INTERNSHIP PROGRAM

Litmus7 Systems Consulting Pvt. Ltd. is a Retail Maximization company specialized in accelerating digital revenue and profitability for Retailers, Brands and CPGs. The full spectrum of Litmus7’s Retail Maximization services include solutions, products and concepts that are essential for a retailer’s survival in this fast changing consumer industry, coupled with technology services to stabilize and scale their digital ecosystem. 

Rated No.1 in credibility, we’re a partner to the top 5 global retailers in Grocery, Fashion, Beauty, Pet Care and General Merchandise. A network of five worldwide centres across USA, India, Canada, UK and UAE are driven by 400 plus specialist technologists, who are passionate creators and problem-solvers.

We are a visionary organisation conceptualizing the future of retail that the world can build on. Our retail innovation ecosystem upheld by the retail maximization team is headed by a bunch of creative technologists dedicated towards building products that will empower the digital journey of consumers. We believe the future of retail is consumer driven and is aspiring to democratize the digital world. 

Envisioning to power the next era of Retail, we work on cutting edge technologies. Our AI Team is the center of excellence for incubating and nurturing talent with deep functional expertise in Artificial Intelligence and Machine Learning.

THE PROGRAM

Our research internship is a 6 month-12 month internship program available to students doing research in the artificial intelligence and machine learning domain. We seek self-driven, passionate, innovative, and pro-active minds who have a deep understanding of basic machine learning with a flair for mathematical nuances and theoretical depth to solve complex machine learning problems in our unique product portfolio.

Areas of Research

  • Graph Self-Supervised Learning
  • Temporal Graph Learning.
  • Multi-modal graph representation learning
  • HIIL DRL Techniques for conversational intelligence
  • Mechanistic interpretation of LLMs
  • Topological Deep Learning
  • Cognitive Assessment using AI Techniques
  • Autonomous Knowledge Graphs
  • Neuro-symbolic AI
  • AGI

Responsibilities

  • Collaborate seamlessly within a multidisciplinary team of researchers to invent new technologies and algorithms based on identified needs, contributing to the company’s cutting-edge advancements in the field.
  • Uncover intricate patterns within data and apply advanced techniques to quantitatively analyze information.
  • Map data into the appropriate machine learning algorithmic space, ensuring optimal representation for model development.
  • Conceptualize and engineer machine learning and deep learning systems, pushing the boundaries of innovation in algorithmic design.
  • Enhance and elevate existing state-of-the-art machine learning algorithms to address complex problems.
  • Execute rigorous unit tests on developing packages, ensuring the reliability and robustness of the implemented solutions.
  • Conduct comprehensive machine learning tests and experiments, leveraging a keen research mindset to explore novel approaches.
  • Train and retrain systems as needed, incorporating adaptability and foresight into the continuous improvement process.
  • Conduct thorough literature reviews, staying at the forefront of the latest developments in the specified research areas.
  • Analyze and interpret research findings, actively contributing to the publication of groundbreaking research papers in prestigious conferences and journals.
  • Engage proactively in regular team meetings to share progress, address challenges, and brainstorm potential improvements.

Requirements

  • Currently pursuing a Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, machine Learning, or a related field, demonstrating a commitment to advanced academic research.
  • Profound comprehension of data structures, algorithms, and software architecture, showcasing a strong foundation in computational principles.
  • In-depth understanding of machine learning algorithms, reflecting a keen insight into the intricacies of advanced learning methodologies.
  • Proven ability to thrive in a dynamic research environment, showcasing adaptability, curiosity, and a proactive approach to tackling complex challenges.
  • Advanced knowledge of probability, statistics, and linear algebra, underlining a solid theoretical background crucial for cutting-edge research.
  • Proficient in crafting robust Python code, highlighting the capacity to develop efficient and scalable solutions.
  • Familiarity with leading machine learning libraries such as TensorFlow, PyTorch, and scikit-learn, illustrating a hands-on approach to leveraging state-of-the-art tools.
  • Exceptional communication skills, enabling the effective dissemination of complex concepts to both technical and non-technical audiences.
  • Collaborative spirit with a demonstrated ability to work seamlessly within a team, fostering an environment conducive to shared innovation.
  • Outstanding analytical and problem-solving prowess, emphasizing a strategic and innovative mindset essential for pushing the boundaries of research in AI and related fields.

Apply now