AI/ML Engineer

Are you a seasoned and innovative AI/ML Engineer passionate about developing transformative artificial intelligence solutions? Signitives is seeking an experienced AI/ML Engineer to join our dynamic team in Plano, TX, for a long-term contract engagement. This is an exceptional opportunity to work on cutting-edge enterprise-scale AI applications, leveraging the power of Generative AI, Large Language Models (LLMs), and robust MLOps practices.

As an AI/ML Engineer, you will be instrumental in designing, developing, and deploying next-generation AI systems that drive significant business impact. You will collaborate with a talented group of engineers and data scientists in a hybrid work environment, pushing the boundaries of what's possible in artificial intelligence and machine learning.

Key Responsibilities

• Lead the design, development, and deployment of advanced AI/ML models and applications, focusing on Generative AI and Large Language Models (LLMs).
• Implement and optimize Prompt Engineering strategies and Retrieval-Augmented Generation (RAG) solutions to enhance model performance and relevance.
• Build and maintain robust MLOps pipelines using tools like MLflow, Kubeflow, AWS SageMaker, or Google Cloud Vertex AI to ensure efficient model lifecycle management.
• Develop high-performance APIs and microservices using frameworks such as FastAPI or Flask for seamless integration of AI models into enterprise systems.
• Manage and optimize data storage solutions, including SQL, NoSQL, and specialized vector databases (e.g., Pinecone, FAISS, Chroma, Milvus).
• Containerize and orchestrate AI applications using Docker and Kubernetes, ensuring scalability and reliability across cloud platforms (AWS, Azure, GCP).
• Collaborate with cross-functional teams to gather requirements, define project scopes, and deliver innovative AI solutions that meet business objectives.

Requirements

• A minimum of 13 years of progressive experience in Machine Learning, Artificial Intelligence, or Data Science.
• Exceptional programming proficiency in Python, with a strong understanding of best practices for scalable and efficient code.
• Extensive hands-on experience with leading machine learning and deep learning frameworks, including TensorFlow, PyTorch, and Scikit-learn.
• Proven expertise in developing and deploying solutions involving Large Language Models (LLMs), Generative AI, and Prompt Engineering.
• Demonstrated experience in implementing Retrieval-Augmented Generation (RAG) systems for improved AI model accuracy and context.
• Solid understanding and practical experience with MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex AI.
• Proficiency in designing and developing RESTful APIs using frameworks like FastAPI or Flask.
• Strong background in database management, including SQL, NoSQL, and vector databases such as Pinecone, FAISS, Chroma, or Milvus.
• Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes), along with CI/CD pipeline implementation.
• Comprehensive experience with major cloud platforms, including AWS, Azure, and Google Cloud Platform.
• Excellent analytical, problem-solving, and communication skills, enabling effective collaboration within a hybrid team setting.

What We Offer

• The opportunity to work on cutting-edge Generative AI and Large Language Model projects that are shaping the future of enterprise AI.
• A long-term contract engagement providing stability and continuous professional development in a rapidly evolving field.
• A collaborative and innovative hybrid work environment in Plano, TX, fostering growth and knowledge sharing.
• Exposure to a wide array of advanced MLOps tools and leading cloud technologies.
• Be part of a forward-thinking team committed to technical excellence and impactful AI solutions as a key AI/ML Engineer.