Job
Description
We are looking for a dynamic andinnovative AI/ML Engineer withexpertise in Generative AI andhands-on experience in GCP or othercloud platforms The ideal candidate will have proven experience in developing,training, fine-tuning, and deploying advanced AI/ML models You will play apivotal role in building scalable, production-ready solutions involving large datasets , NLP techniques, and cutting-edge frameworks such asLangChain, Retrieval-Augmented Generation (RAG), and REACT (Retrieve, Extract,Adapt, Construct, Think) This role requires a solid foundation in Python , SQL , and AI/ML development pipelines, combined with a passion forsolving real-world problems using AI. Roles Responsibilities Model Development Training Design, train, and fine-tune AI/ML models , especially Generative AI and Large Language Models (LLMs) , to address specific use cases. Build conversational AI solutionsand chatbots using frameworks such as LangChain , RAG (Retrieval-Augmented Generation) ,and Chain-of-Thought (COT) prompting . Apply advanced techniques,including embeddings , fine-tuning,and custom prompting strategies. Incorporate REACT (Retrieve, Extract, Adapt, Construct, Think) methods toenhance model capabilities. Develop scalable AI solutions tointegrate seamlessly into production environments. Data Handling Manage large-scale datasets for AI/ML applications, ensuring data quality,transformation, and normalization. Conduct data analysis, preprocessing, and munging to extract valuableinsights. Implement scalable dataengineering workflows for model development and production. Cloud AI/ML Deployment Deploy, manage, and optimize AImodels on Google Cloud Platform (GCP) (or other cloud platforms like AWS/Azure). Leverage GCP services such asVertex AI, BigQuery, Cloud Functions, and Dataflow for AI workflows. Collaboration Solutioning Collaborate with cross-functionalteams, including product managers, data scientists, and software engineers, todeliver AI-driven solutions. Integrate models withclient-facing applications, ensuring end-to-end implementation. Support scalable developmentthrough Docker for containerization(a plus). Continuous Improvement Stay updated with the latestadvancements in AI, ML, and Generative AI frameworks, tools, and methodologies. Proactively learn new technologiesand apply them to improve processes and solutions. Web Scraping (Optional but Preferred) Implement web scraping solutions to gather data from unstructured sources formodel training and validation. Required Skills Qualifications 3-6 years of experience in AI/ML modeldevelopment, training, and fine-tuning. Strong programming skills in Python and SQL . Hands-on experience with Generative AI , LLMs , and NLP techniques . Experience working with LangChain , RAG frameworks , and advanced prompting strategies. Proficiency in embeddings and fine-tuning models forspecific tasks. Strong understanding of machine learning algorithms andstatistical analysis. Experience working with large datasets and scalable dataprocessing workflows. Hands-on experience with GCP (Vertex AI, BigQuery) or othercloud platforms (AWS/Azure). Knowledge of Docker for deployment and containerization. Solid skills in data cleaning, transformation, andnormalization for data integrity. Preferred Skills Familiarity with Reinforcement Learning from Human Feedback(RLHF) . Understanding of COT (Chain-of-Thought) prompting . Proficiency in REACT (Retrieve, Extract, Adapt, Construct,Think) frameworks. Experience in web scraping techniques. Key Attributes Strong analytical andproblem-solving abilities. Ability to work independently aswell as collaboratively in a team environment. Excellent communication skills tointeract with stakeholders and cross-functional teams. Proactive attitude to learn andadopt new AI technologies and frameworks. Why Join Us Opportunity to work oncutting-edge AI/ML solutions. Collaborative and innovative workculture. Access to state-of-the-art tools,frameworks, and GCP resources. Growth opportunities with a focuson professional development in AI/ML.
