Senior AI/ML Engineer

3 weeks ago


Kochi, India Litmus7 Full time

Role:  Senior AI/ML Engineer(R&D)

Mode of Work:  Work from Office

Employment Type:  Full-time

Exp : 4 - 6 Years

Location:  Trivandrum


Company Description

Litmus7 is a Retail Maximization company that specializes in accelerating digital revenue and profitability for Retailers, Brands, and CPGs. Our 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. We're rated No.1 in credibility and work with the top 5 global retailers in Grocery, Fashion, Beauty, Pet Care, and General Merchandise. Our 700+ specialist technologists at six worldwide centers across USA, India, Canada, Australia, and UAE are passionate creators and problem-solvers.


Role Description


  • Design, develop, debug and deploy predictive and deep learning, machine learning algorithms. 
  • Dive into the technical complexity of ML algorithms, architectures, features and bugs when needed and be able to recognize root cause and recognize solutions.
  • Dive deep to identify root causes of issues and/or generate reports. 
  • Identify opportunities to drive innovation, accelerate product launches, and remove bottlenecks to deliver results and extract data to identify problem patterns.


Qualifications


  • 4+ years of AI/ML R&D experience with M Tech or Ph.D., preferably having publications in premium conferences/journals/patents.
  • Experience working with Retail Domain, providers is a plus.
  • Strong programming experience in Python/R/Julia.
  • Thorough understanding in design and implementation of deep learning architectures / classical ML Models.
  • Strong knowledge on Data Structures, Algorithms, Complexity Analysis etc.
  • Strong attention to detail, problem solving, analytical and organizational skills.
  • Ability to communicate effectively with both technical and non-technical individuals.
  • Familiarity with data science tools and frameworks.
  • Passionate individual with self-motivation for going beyond the capabilities to deliver niche R&D output.


Areas of Research(going on):

  • 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
  • Federated Graph Neural Networks


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