Artificial Intelligence Solutions Developer

4 hours ago

Guntur, Andhra Pradesh, India beBeeSolution Full time ₹ 80,00,000 - ₹ 1,50,00,000

Job Title: AI Solutions Architect

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  • Design, develop and deploy AI-powered automation solutions to enhance business processes and self-service applications.
  • Develop and implement Gen-AI and ML-based LLMs and conversational bots to automate complex tasks.
  • Implement advanced algorithms and models to improve the performance and accuracy of self-service applications.
  • Integrate AI-driven automation tools with existing systems and workflows to ensure seamless deployment.

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 and Qualifications:

  • Bachelor's Degree in a computer science, engineering, information technology or a relevant degree from a recognized University.
  • Minimum of 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 of GCP & Azure like Vertex AI, ML Studio, AI Foundry.
  • Knowledge of ML techniques: Decision Trees, Random Forest, Boosting Algorithm, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction / Engineering, Anomaly Deduction, Natural Language Processing (including Sentiment Analysis, Topic Modelling), Natural Language Generation.
  • Proficiency in data preprocessing, feature engineering, and data visualization.
  • Exposure to frameworks from 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.
  • Familiarity with Agile methodologies.

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