AI Development Professional

20 hours ago

Vellore, Tamil Nadu, India beBeeArtificialintelligence Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior AI Development SpecialistThis role is responsible for the conceptualization, development, and deployment of cutting-edge artificial intelligence (AI) solutions to streamline business operations and enhance self-service applications.Key Responsibilities of the RoleThe ideal candidate will have a strong understanding of machine learning algorithms and their application in real-world scenarios. Key responsibilities include:
  • Designing, developing, and deploying AI-powered automation solutions to optimize business processes.
  • Developing and implementing advanced algorithms and models to enhance the performance and accuracy of self-service applications.
  • Integrating AI-driven automation tools with existing systems and workflows.
  • Ensuring scalability and reliability of AI solutions in production environments.
Research and InnovationThe successful candidate will be responsible for staying up-to-date with the latest advancements in AI technologies and experimenting with new techniques to improve the capabilities of conversational bots.
  • Conduct research to stay updated with the latest developments in AI and ML technologies.
  • Experiment with novel techniques and methodologies to improve the capabilities of conversational bots.
  • Explore innovative ways to leverage AI and ML for automating complex tasks.
  • Publish findings and contribute to the AI/ML community through papers, presentations, and conferences.
Automation DevelopmentThe ideal candidate will identify opportunities for automating business processes using AI and ML and develop and implement AI-driven automation solutions to optimize workflows and reduce manual intervention.
  • Identify opportunities for automating business processes using AI and ML.
  • 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.
Integration and ManagementThe successful candidate will integrate AI and ML solutions with existing enterprise systems and applications, ensuring seamless deployment across various functions and business units.
  • Integrate AI and ML solutions with existing enterprise systems and applications.
  • Ensure seamless deployment of AI-driven automation tools across various functions and business units.
  • Develop APIs and microservices to facilitate the integration of AI solutions with other software systems.
  • Provide technical support and troubleshooting for deployed AI solutions, ensuring minimal downtime and disruption.
Qualifications and ExperienceThe ideal candidate will possess a bachelor's degree in computer science, engineering, or a related field and at least 3-5 years of experience in AI/ML development, with a focus on Gen-AI and LLMs.
  • Bachelor's degree in a relevant field 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 like GCP and Azure.
  • 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 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.
  • Familiarity with Agile methodologies.

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