4 Code Conversion Jobs

Job Title: GenAI Architect Experience Required: 10+ years in software architecture or machine learning roles, including at least 2+ years focused on Generative AI or Large Language Models (LLMs). Role Overview We are seeking a GenAI Architect to lead the design, development, and deployment of cutting-edge Generative AI solutions. This role requires deep expertise in LLMs, advanced AI architectures, and the ability to build scalable and production-ready systems leveraging the latest in AI technologies. Key Responsibilities Architect and implement GenAI solutions, including LLMs, RAG pipelines, embedding models, and vector search . Design and optimize prompt engineering strategies, fine-tuning approaches , and mitigate hallucinations in AI outputs. Develop robust AI workflows using Python, LangChain, Hugging Face Transformers , and vector databases such as Pinecone or Weaviate . Integrate and leverage GenAI APIs (OpenAI, Azure OpenAI, Anthropic, Google Vertex AI). Deploy AI applications in cloud-native environments (AWS, GCP, Azure) using Kubernetes and containerized architectures . Lead model evaluation, performance tuning, and ensure scalable architecture for enterprise use cases. Collaborate with business stakeholders to translate complex AI concepts into actionable solutions and value-driven outcomes. Required Skills & Qualifications 10+ years of experience in software architecture or machine learning, with 2+ years in GenAI/LLM-focused roles . Strong expertise in: LLMs and RAG pipelines Prompt engineering, fine-tuning, and hallucination mitigation LangChain, Hugging Face Transformers, Python Vector databases (Pinecone, Weaviate, etc.) Proficiency in deploying solutions on AWS/GCP/Azure with Kubernetes. Experience with model evaluation frameworks and industry best practices. Ability to communicate AI strategies and outcomes to non-technical stakeholders. Preferred Qualifications Hands-on experience with LLMOps tools (Weights & Biases, MLflow, Trulens, PromptLayer). Knowledge of domain-specific AI applications (real estate, finance, risk modeling). Exposure to multi-modal GenAI (text, image, document, voice). Contributions to open-source projects, research publications, or patents in AI/ML.

Job Title: GenAI Architect Experience Required: 10+ years in software architecture or machine learning roles, including at least 2+ years focused on Generative AI or Large Language Models (LLMs). Role Overview We are seeking a GenAI Architect to lead the design, development, and deployment of cutting-edge Generative AI solutions. This role requires deep expertise in LLMs, advanced AI architectures, and the ability to build scalable and production-ready systems leveraging the latest in AI technologies. Key Responsibilities Architect and implement GenAI solutions, including LLMs, RAG pipelines, embedding models, and vector search . Design and optimize prompt engineering strategies, fine-tuning approaches , and mitigate hallucinations in AI outputs. Develop robust AI workflows using Python, LangChain, Hugging Face Transformers , and vector databases such as Pinecone or Weaviate . Integrate and leverage GenAI APIs (OpenAI, Azure OpenAI, Anthropic, Google Vertex AI). Deploy AI applications in cloud-native environments (AWS, GCP, Azure) using Kubernetes and containerized architectures . Lead model evaluation, performance tuning, and ensure scalable architecture for enterprise use cases. Collaborate with business stakeholders to translate complex AI concepts into actionable solutions and value-driven outcomes. Required Skills & Qualifications 10+ years of experience in software architecture or machine learning, with 2+ years in GenAI/LLM-focused roles . Strong expertise in: LLMs and RAG pipelines Prompt engineering, fine-tuning, and hallucination mitigation LangChain, Hugging Face Transformers, Python Vector databases (Pinecone, Weaviate, etc.) Proficiency in deploying solutions on AWS/GCP/Azure with Kubernetes. Experience with model evaluation frameworks and industry best practices. Ability to communicate AI strategies and outcomes to non-technical stakeholders. Preferred Qualifications Hands-on experience with LLMOps tools (Weights & Biases, MLflow, Trulens, PromptLayer). Knowledge of domain-specific AI applications (real estate, finance, risk modeling). Exposure to multi-modal GenAI (text, image, document, voice). Contributions to open-source projects, research publications, or patents in AI/ML.

Key Responsibilities: AI-Driven Development: Design and develop an intelligent data conversion application using AI technologies. Data Mapping & Validation: Implement AI algorithms to accurately map source-to-target data and validate integrity. Automated Code Generation: Develop AI models to automate code creation for transformation scripts. Code Conversion: Use AI to facilitate smooth and efficient legacy-to-modern code conversion. Monitoring & Troubleshooting: Ensure the health and performance of the AI-powered conversion system. Cross-Functional Collaboration: Work closely with data engineers, developers, AI/ML engineers, and business analysts. Documentation: Maintain detailed records of models, processes, and tools used. Continuous Learning: Stay abreast of the latest trends in AI, ML, data science, and cloud technologies. What Youll Need: Bachelor's or Master’s in Data Science , Computer Science , Artificial Intelligence , or a related field. Strong experience in Python , SQL , and other relevant programming languages. Hands-on with AI/ML frameworks like TensorFlow, PyTorch, etc. Proven experience with AI-driven data mapping , code generation , and validation techniques . Knowledge of code conversion methodologies and tools. Experience working with databases such as SQL Server and MongoDB . Strong analytical and problem-solving abilities. Excellent collaboration and communication skills. High attention to detail and data accuracy. Comfortable with a "fail fast, learn faster" approach in agile, fast-paced environments. 5+ years of relevant industry experience. Preferred Qualifications: Experience in the Financial Services domain with awareness of compliance requirements. Certifications in Data Science or AI/ML. Familiarity with data wrangling , ETL processes , and Master Data Management . Exposure to DevOps tools like Jira, Bitbucket, and Confluence. Hands-on with Azure technologies : Cognitive Services, Synapse Analytics, Databricks, and Azure ML. Prior experience delivering AI-powered data solutions , such as: Seamless Data Schema Conversion AI-Driven Data Validation for Migration Intelligent Code Generation Historical Data Transformation and Archiving AI-Augmented Reconciliation and Error Detection

Seeking a Data Scientist to develop AI-driven data conversion apps, automate code generation, ensure data quality, and collaborate across teams. Requires 5+ yrs exp, Python, AI/ML skills, and strong problem-solving. Fintech experience is a plus.