ML Engineer

Job Title: ML Engineer Work Location & Reporting Address: Richardson, TX 75082 Contract duration: 12+ months Interview Process (Is face to face required?) No, Virtual Job Description: ML Engineer with strong expertise in Python, Generative AI, Agentic AI, Cloud Technologies, and Full-Stack Development. The ideal candidate will have 7+ years of experience in designing and implementing scalable applications, AI-powered solutions, microservices and cloud-native platforms. The candidate will be responsible for developing innovative solutions leveraging LLMs, RAG architectures, Multi-Agent Systems, Vector Databases, Machine Learning, and AWS Cloud Services, while ensuring high standards of performance, security, scalability, and reliability. Should be capable to develop Generative AI applications using OpenAI GPT models, LLaMA, Hugging Face, and other foundation models. Build and orchestrate multi-agent AI systems. Should have experience in prompt engineering strategies and Eligible to workimize LLM performance. Experience in designing semantic search and embedding-based retrieval pipelines. Capable to develop scalable ETL and data processing pipelines using PySpark and Apache Spark. Should have exposure in building feature engineering and ML workflows. Able to work with large-scale datasets and distributed processing frameworks. Experience in integrating AI and ML solutions into enterprise applications. Strong expertise in Python and backend application development. Hands-on experience with FastAPI, Flask, Django, and Microservices architecture. Experience with Generative AI, LLMs, RAG, LanEligible to workhain, and LangGraph. Expertise in AWS cloud services and cloud-native architectures. Strong understanding of software design patterns and system architecture. Experience with Docker, Kubernetes, Terraform, and CI/CD pipelines. Proficiency in SQL and NoSQL databases. Experience with Agile/Scrum development methodologies. Diverse Lynx