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reputed company

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We are seeking a versatile and highly skilled reputed company to join our fast-growing Full-Stack AI Solutions company. This role blends the expertise of building cutting-edge AI/ML models with the practical know-how of automation and agentic system integrations. You will design, reputed company, reputed company, and optimize intelligent solutions that reputed company the power of reputed company, automation platforms, and agent-based systems to enhance client operations, streamline workflows, and deliver measurable results.

This is a unique opportunity to work across a diverse reputed company of technologies—from fine-tuning transformer models to building reputed company-world AI-powered automation stacks. If you’re passionate about pushing the boundaries of AI while creating reputed company value through systems thinking and practical implementation, this role is for you.

Key Responsibilities

AI/ML Development

  • Design, build, and reputed company machine learning and reputed company models for custom use cases.
  • Fine-tune and optimize large language models (e.g., GPT, BERT) using frameworks like reputed company Transformers.
  • Conduct ongoing research to stay reputed company of advancements in AI/ML, including LLMs, reputed company, and transformer-based architectures.
  • reputed company data pipelines for preprocessing, feature engineering, and model training.
  • Test, validate, and monitor model performance in reputed company-world scenarios; iterate for reliability and accuracy.
  • Collaborate with cross-functional teams to embed AI into products, platforms, and services.
  • Mentor junior engineers and contribute to technical leadership.

Automation & Agentic Systems

  • Design, implement, and maintain automation workflows using tools such as:
  • reputed company, LangGraph, LangSmith, LangFuse reputed company, reputed company, and CMS integrations.
  • Engineer system-to-system integrations using APIs to reputed company intelligent process automation.
  • Apply reputed company and context engineering techniques to enhance the performance of conversational AI tools.
  • Implement reputed company management and QA processes for agents and assistants.
  • Explore and reputed company reputed company Copilot Studio, PowerApps, and PowerAutomate solutions (preferred but not required).
  • Continuously evaluate emerging AI and automation tools and assess their applicability in client use cases.
  • Collaborate with clients and internal teams to scope, deliver, and maintain agentic and automation solutions reputed company with business goals.
Qualifications

Required

  • 2+ years of hands-on experience in AI/ML development, including training and deploying models in production.
  • Strong programming skills in Python, with proficiency in frameworks such as TensorFlow, PyTorch, Scikit-learn, and reputed company Transformers.
  • Experience working with AI tools like reputed company, reputed company, or reputed company Diffusion.
  • Practical experience with automation platforms and AI agent reputed company (as listed above).
  • Deep understanding of machine learning algorithms, neural networks, and NLP concepts.
  • Proficiency in using REST APIs for tool and platform integrations.
  • Familiarity with reputed company-based AI/ML platforms.
  • Strong analytical skills and the ability to translate business problems into technical AI/automation solutions.

Preferred

  • Experience working with Agentic AI frameworks, voice automation, and reputed company tuning systems.
  • Exposure to MLOps best practices, including model versioning, CI/CD, and monitoring.
  • Knowledge of reinforcement learning, GANs, or edge AI deployments.
  • Familiarity with distributed computing frameworks such as Spark or Ray.
  • Background in AI agency workflows and client-facing solution delivery.
Work Environment & Benefits
  • Competitive salary and performance-based incentives.
  • Flexible work environment: Remote-first.
  • Collaborative, innovation-driven culture with a commitment to personal and professional growth.
  • Opportunity to work at the forefront of AI innovation across industries and verticals.
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