Artificial Intelligence Engineer

Company: Bay Area Technology Solutions

Website: Visit Website

Business Type: Enterprise

Company Type: Product & Service

Business Model: B2B2C

Funding Stage: Bootstrapped

Industry: IT Services

Salary Range: ₹ 24-30 Lacs PA

Job Description

Role Overview:

We are looking for a passionate and skilled AI Engineers to join our team and lead the development of cutting-edge Artificial Intelligence solutions tailored for the Retail industry. The ideal candidate will have hands-on experience building and deploying AI models that enhance customer experience, optimize operations, and drive data-driven decision-making in retail environments.

Key Responsibilities

• Design, develop, and implement AI/ML models for retail use cases such as dynamic pricing, dynamic routing, inventory management, personalized recommendations.
• Build scalable AI pipelines and integrate models into production systems using cloud and edge technologies.
• Collaborate with data scientists, software engineers, and business stakeholders to translate business needs into technical solutions.
• Work on computer vision (e.g., shelf analytics, visual search) and NLP (e.g., chatbots, sentiment analysis) projects relevant to retail.
• Optimize model performance and ensure robustness, scalability, and maintainability.
• Conduct research and stay updated on the latest AI trends, tools, and frameworks applicable to the retail domain.
• Ensure ethical AI practices and compliance with data privacy regulations.
  
  

• 6-9 years of experience in AI engineering, with a focus on retail applications.
• Strong programming skills in Python and SQL.
• Experience with ML/DL frameworks such as TensorFlow, PyTorch.
• Experience with LLM and GenAI models.
• Proficiency in deploying models using cloud platforms (GCP ,AWS, Azure), GCP preferred.
• Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, CI/CD).
• Solid understanding of data structures, algorithms, and software engineering principles.
• Experience with customer analytics, and retail forecasting, recommendation systems.
• Knowledge of retail systems such as POS, ERP, CRM, and e-commerce platforms.
• Exposure to big data technologies (Spark).
• Strong problem-solving and communication skills.