Role :
Senior AIML Engineer is responsible for designing and implementing an AI focused architecture involving different data sources (pdfs, excels, macros, APIs, etc) prepared for different models (ML,GenAI and LLMs) that work in a cohesive way for various use cases for the consumers.
Engineer will also be responsible for finding AIML opportunities and implementing AI / ML solutions within Sales and Digital space to improve / enhance user experience, automate manual process and make predictive analysis in consumer journey and support with competitive analysis and study. The candidate should be proficient in Python and have a strong understanding of AI / ML concepts and techniques.
Key Responsibilities :
- Design, develop, and implement AI / ML models to solve complex business problems
- Collaborate with cross-functional teams to identify opportunities for AI / ML integration
- Conduct data analysis and interpret results to drive decision-making
- Stay current with the latest trends and advancements in the field of AI / ML
Job Qualification : Required Skills :
Bachelor’s / Master Degree in Computer Science / Information Technology or related fieldMinimum 12 or more years IT of experience with strong hands-on experience.6+ years of experience in Python using common data science libraries such as scikit-learn and Databricks3+ years of experience applying NLP (transformers, gpt,etc) in a production setting using large amounts of data3+ years of experience applying LLMs (RAG, vector db, embeddings) to solve real world problemsExperience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecasting and other statistical analysesExperience building APIs for the modelsGood experience with one of the cloud platforms (Azure, AWS or GCP). Having Azure cloud experience is more preferred.Strong written & verbal communication skills;including the ability to present detailed analyses to a broad audience
Organized self-starter, with drive and commitment;able to work with little supervision
Strong analytical, quantitative, problem-solving, and critical thinking skillsMust Haves-
🧠 Machine Learning (ML)- use of Standardization vs Normalization, decision tree for making Predictions, tree-based model over a linear model, boosting .
🤖 GenAI - RAG, c hunking affect its performance, building GenAI applications using code
🐍 Python - list and a tuple, reverse a string in Python, decorator.
Nice-to-Have :
Experience using vision and speech models in GenAI