Assistant Manager-machine Learning Engineer

Role Overview: You will be responsible for designing and developing cutting-edge ML Gen AI prototypes using Python LLMs and RAG pipelines. You will collaborate with product and business teams to build scalable AI-driven solutions in an agile environment. Key Responsibilities: - Build ML AI prototypes and proof-of-concepts using modern frameworks - Work hands-on with Large Language Models LLMs, LangChain RAG pipelines, vector databases, and agentic workflows - Rapidly develop and iterate web-based ML applications using Flask or Streamlit - Partner cross-functionally with product design and business teams to translate complex problems into scalable ML solutions - Operate in agile sprints with a bias for experimentation and quick deployment - Stay ahead of the curve with the latest AI GenAI research tools and open-source innovations Qualifications Required: - 3-5 years of practical machine learning or software engineering experience - Strong Python programming skills with experience building ML-centric codebases - Hands-on exposure to LangChain RAG workflows, LLM orchestration, and prompt engineering - Proven experience deploying applications via Python frameworks e.g., Flask, Streamlit - A strong prototyping mindset with a product-first approach Additional Company Details: You will be working for a thriving global tech-enabled leader that fuses strategic thinking with cutting-edge AI innovation. This company provides the opportunity to work on next-gen AI GenAI technologies with real users. You will have exposure to cross-industry AI products and high-impact use cases. The workplace is collaborative, providing freedom to explore, learn, and contribute. If this role resonates with your journey, please drop your CV at vandana.hatwal@crescendogroup.in for a confidential discussion. Please note that Crescendo Global specializes in senior-level hiring and is committed to a memorable, inclusive hiring experience. Diversity and respect are core values of the company. If you don't hear back within a week, consider your profile not shortlisted at this time, and your patience is truly appreciated. Role Overview: You will be responsible for designing and developing cutting-edge ML Gen AI prototypes using Python LLMs and RAG pipelines. You will collaborate with product and business teams to build scalable AI-driven solutions in an agile environment. Key Responsibilities: - Build ML AI prototypes and proof-of-concepts using modern frameworks - Work hands-on with Large Language Models LLMs, LangChain RAG pipelines, vector databases, and agentic workflows - Rapidly develop and iterate web-based ML applications using Flask or Streamlit - Partner cross-functionally with product design and business teams to translate complex problems into scalable ML solutions - Operate in agile sprints with a bias for experimentation and quick deployment - Stay ahead of the curve with the latest AI GenAI research tools and open-source innovations Qualifications Required: - 3-5 years of practical machine learning or software engineering experience - Strong Python programming skills with experience building ML-centric codebases - Hands-on exposure to LangChain RAG workflows, LLM orchestration, and prompt engineering - Proven experience deploying applications via Python frameworks e.g., Flask, Streamlit - A strong prototyping mindset with a product-first approach Additional Company Details: You will be working for a thriving global tech-enabled leader that fuses strategic thinking with cutting-edge AI innovation. This company provides the opportunity to work on next-gen AI GenAI technologies with real users. You will have exposure to cross-industry AI products and high-impact use cases. The workplace is collaborative, providing freedom to explore, learn, and contribute. If this role resonates with your journey, please drop your CV at vandana.hatwal@crescendogroup.in for a confidential discussion. Please note that Crescendo Global specializes in senior-level hiring and is committed to a memorable, inclusive hiring experience. Diversity and respect are core values of the company. If you don't hear back within a week, consider your profile not shortlisted at this time, and your patience is truly appreciated.