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AI/ML Visionary
2 weeks ago
We're seeking a highly skilled senior AI/ML engineer to drive innovation and efficiency in our organization. The ideal candidate will have extensive experience in designing, implementing, and deploying AI/ML solutions using advanced frameworks and technologies.
Responsibilities:- Design and implement AI driven solutions ensuring scalability and efficiency.
- Develop and optimize Langchain(agents, chains, memories, parsers, document loaders),Gen AI and NLP models for specific use cases.
- Experiment different machine learning models for specific use cases.
- Propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership.
- 4-6 years of experience in software development, particularly AI/ML-based projects.
- 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.
- Expertise in Generative AI, NLP, and conversational AI technologies.
- Experience in building and deploying AI-powered applications at scale.
- Understanding of ML pipelines, feature engineering, and MLOps.
- Experience with LLM + RAG and agentic framework.
- Excellent written and verbal communications skills.
- 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.
- Exposure to retail industry and e-commerce applications.
- Comprehensive benefits plan tailored to meet employees' needs.
- Flexible and hybrid work schedules along with diverse leave options.
- Supplementary allowances and compensatory days off for specific work demands.
- Comprehensive medical coverage for spouses, children, and parents/in-laws.
- Employee Assistance Program with free, unbiased, and confidential expert consultations.
- Free transportation and cafeteria facilities with diverse menu options.
- Sponsored training for specialized certifications.
- Investment in employee development through labs and learning platforms.
- Support and reimbursement for newly hired employees relocating to Bangalore, India.
