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.

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