AI Technology Specialist

1 week ago

Solapur, Maharashtra, India beBeeArtificialintelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
AI Engineer Position">

We are seeking a skilled AI engineer to develop cutting-edge AI solutions that can autonomously perform tasks with minimal human intervention. The ideal candidate will have expertise in advanced AI technologies and the ability to design, develop, and deploy AI workflows.

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  • Agentic AI Development: Design, develop, and optimize domain-adaptive agentic AI systems to automate business processes
  • LLM Fine-Tuning: Work with pre-trained models to fine-tune techniques like PEFT and SFT for specific applications and domains, evaluating and optimizing for performance, accuracy, and efficiency
  • Prompt Engineering: Design prompts with techniques like Chain of Thought and Few Shot to enhance model responses, ensuring alignment 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
  • Collaboration & Research: Collaborate with cross-functional teams to define AI product requirements and stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields
  • Model Deployment & Maintenance: Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments, and maintain clear documentation of models, workflows, and experiments

Skill Set Required:

Experience: Minimum 5+ years of hands-on experience in machine learning and AI engineering, proven track record in working with LLMs, expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows, strong experience in prompt engineering to optimize AI models performance

Technical Skills:

  • Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks
  • Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData
  • 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
  • Familiarity with SDLC life cycle, data processing tools (e.g., Pandas, NumPy), and version control (e.g., Git)

Soft Skills:

  • Strong problem-solving and analytical skills
  • Excellent communication and teamwork abilities to collaborate with stakeholders
  • Ability to work independently and drive projects to completion with minimal supervision

Preferred Skills & Qualifications:

  • Experience in deploying AI models at scale in production environments
  • Expertise in large-scale data processing, optimization techniques, and model deployment

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