AI Systems Developer

1 week ago

Noida, Uttar Pradesh, India beBeeData Full time US$ 1,50,000 - US$ 2,50,000
Job Overview

Artificial Intelligence Specialist Position Available

Our company is looking for a highly skilled Artificial Intelligence Engineer to lead the development and optimization of AI systems, working closely with enterprise stakeholders to translate complex business challenges into AI-driven solutions.

Key Responsibilities

  • Design and implement traditional ML and LLM-based systems to deliver scalable AI solutions.
  • Optimize model inference for performance and cost-efficiency across cloud platforms.
  • Fine-tune foundation models using LoRA, QLoRA, and adapter layers to meet client specifications.
  • Develop and apply prompt engineering strategies including few-shot learning, chain-of-thought, and RAG frameworks.
  • Architect and build robust backend infrastructure (APIs, microservices) to support AI-driven applications.
  • Implement and manage end-to-end MLOps pipelines, automating model training, deployment, and monitoring.
  • Design continuous monitoring and evaluation systems to ensure model accuracy, performance, and compliance.
  • Create automated testing frameworks and CI/CD pipelines to guarantee model quality and reliability.

Requirements

  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 4+ years of experience in AI/ML engineering, software development, or data-driven solution delivery.
  • Proven expertise in LLM fine-tuning (LoRA, QLoRA, adapter layers) and inference optimization.
  • Strong backend development experience using Python with FastAPI or Flask.
  • Hands-on experience with cloud ML services (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
  • Familiarity with MLOps frameworks, orchestration tools (Airflow), and CI/CD pipelines.

Essential Skills and Competencies

  • Technical skills: Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers).
  • Deep understanding of LLM serving tools (vLLM, TensorRT-LLM, SGlang).
  • Experience with RESTful API development and vector/traditional databases (PostgreSQL, Redis).
  • Hands-on expertise in AWS, GCP, Azure, and container orchestration (Docker, Kubernetes).
  • Familiarity with MLOps tools for monitoring, evaluation, and CI/CD automation.

Soft Skills

  • Strong problem-solving and analytical thinking.
  • Excellent communication, able to convey complex AI concepts to non-technical stakeholders.
  • Adaptability to shifting priorities in an agile, project-based environment.

Leadership Skills

  • Ability to drive end-to-end AI projects, coordinating across cross-functional teams.
  • Strategic vision to guide technology choices and best practices in AI/ML engineering.
  • Mentorship capability to support junior engineers and elevate team skillsets.

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