
AI-Machine Learning Solutions Developer
12 hours ago
Senior AI/ML Engineer
">We are seeking a highly skilled professional to design, implement and deploy innovative AI/ML solutions that drive efficiency. The ideal candidate will have extensive experience in Langchain, NLP, RAG-based systems, Prompt Engineering, Agentic Systems and cloud platforms (Azure, AWS) and be adept in building AI-driven applications.
">- Design and implement AI-driven solutions using advanced frameworks and technologies, ensuring scalability and efficiency.
- Develop and optimize Langchain (agents, chains, memories, parsers, document loaders), Gen AI and NLP models for specific use cases.
- Quickly experiment different machine learning models for specific use cases.
- Strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership.
Required Skills and Qualifications:
- Overall 4-6 years of experience in software development, particularly AI/ML-based projects
- Must have experience in Azure cloud and Databricks setup
- Proficiency in Python and machine learning frameworks like TensorFlow, PyTorch, scikit-learn
- Strong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning
- Strong expertise in Generative AI, NLP, and conversational AI technologies
- Experience in building and deploying AI-powered applications at scale
- Strong understanding of ML pipelines, feature engineering, and MLOps
- Experience in LLM + RAG and building agentic frameworks
- Excellent written and verbal communication skills
- Experience leading and mentoring team members to help grow to their full potential
- Ability to understand business requirements and translate into technical requirements
- Educational Background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Familiarity with code versioning tools - Git (GitLab)
- Exposure to retail industry, experience with e-commerce applications
Benefits:
We offer a dynamic work environment, opportunities for growth and development, and a competitive compensation package.
About Us:
We are an Equal Opportunity Employer committed to diversity in the workplace. Our strategy focuses on three core pillars – workplace culture, diverse talent, and how we show up in the communities we serve.
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