AI Solutions Architect

16 hours ago

Amrāvati, Maharashtra, India beBeeArtificialintelligence Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Title: AI Solutions Architect

We are seeking an experienced AI Solutions Architect to join our team.

About the Role:

The successful candidate will design, develop, and deploy artificial intelligence (AI) and machine learning (ML) solutions to automate business processes and enhance self-service applications.

  • Design and develop AI/ML solutions using Gen-AI and LLMs to streamline business processes and improve efficiency.
  • Develop and deploy Gen-AI and ML-based LLMs and conversational bots.
  • Implement advanced algorithms and models to enhance the performance and accuracy of self-service applications.
  • Integrate AI-driven automation tools with existing systems and workflows.
Key Responsibilities
  • Identify opportunities for automating business processes using Gen-AI and LLMs.
  • Develop and implement AI-driven automation solutions to optimize workflows and reduce manual intervention.
  • Collaborate with process experts to understand process requirements and design appropriate AI solutions.
  • Monitor and evaluate the performance of automation solutions, making necessary adjustments to improve efficiency.
Requirements
  • Bachelor's Degree in Computer Science, Engineering, or a relevant field from a recognized University.
  • Minimum 3-5 years of experience in AI/ML development, with a focus on Gen-AI and LLMs.
  • Proficiency in Python, Java, or other relevant programming languages.
  • Experience with TensorFlow, PyTorch, Keras, and other AI/ML frameworks.
  • Strong understanding of NLP techniques and applications.
  • Knowledge of cloud AI/ML platforms like GCP and Azure.
  • Knowledge of ML techniques such as Decision Trees, Random Forest, Boosting Algorithm, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction / Engineering, Anomaly Detection, Natural Language Processing, and Natural Language Generation.
  • Proficiency in data preprocessing, feature engineering, and data visualization.
  • Exposure to frameworks like LangChain.
  • Experience with deploying models using Docker, Kubernetes, or similar technologies.
  • Proficiency with version control systems like Git.
  • Experience in developing and integrating APIs and microservices.
  • Experience with automation frameworks and tools.
  • Experience with voice recognition and synthesis technologies.
  • Familiarity with reinforcement learning and other advanced ML techniques.
  • Contributions to open-source AI/ML projects.
  • Understanding of CI/CD pipelines and DevOps practices.
  • Knowledge of machine learning and artificial intelligence.
  • Strong analytical & problem-solving skills with the ability to think critically & creatively about complex business problems.
  • Excellent communication and leadership abilities.
  • Ability to work collaboratively in a team environment.

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