Highly Experienced AI Engineering Specialist

3 days ago

Ghaziabad, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: Intelligent Systems Architect

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We are seeking an experienced Intelligent Systems Architect to join our organization, focusing on building AI systems that automate business processes and enhance decision-making capabilities.

  • Agentic AI Development: Design, develop, and optimize domain-adaptive agentic AI systems to automate business processes.
  • Model Fine-Tuning: Work with large-scale pre-trained models to fine-tune with techniques like PEFT, SFT, and adapt them for specific applications and domains.
  • Prompt Engineering: Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs align with use case requirements.
  • AI Workflow Automation: Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments.

Key Responsibilities:

  • Collaborate with cross-functional teams to define AI product requirements and deliver innovative solutions.
  • Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields.
  • Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments.
  • Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders.

Required Skills and Qualifications:

  • Minimum 5+ years of hands-on experience in machine learning and AI engineering.
  • Proven track record in working with LLMs such as Llama, Mistral, and models like GPT, BERT, T5, or similar.
  • Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows.
  • Strong experience in prompt engineering to optimize AI models' performance.

Benefits:

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • A collaborative and dynamic work environment.

Other Information:

  • Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
  • Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models.
  • Experience with NLP tasks, such as text classification, text generation, summarization, and question answering.
  • Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks.

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