Job Title: Senior AI Bot Developer
Job Description: We are seeking a Senior AI Bot Developer with over 3 years of experience to join our team. The ideal candidate will have a strong background in developing, integrating, and maintaining intelligent AI bots using various APIs and frameworks. This role requires a deep understanding of artificial intelligence, natural language processing (NLP), and machine learning (ML) technologies to create sophisticated and efficient AI bot solutions.
Responsibilities:Design and Development: Design, develop, and deploy AI bot applications using cutting-edge AI and NLP technologies.Integration: Integrate AI bot solutions with various platforms such as websites, mobile apps, and enterprise systems.Optimization: Maintain and optimize AI bot performance, ensuring a seamless user experience and high accuracy in interactions.Collaboration: Work closely with cross-functional teams including product managers, designers, and other developers to understand and implement business requirements.Troubleshooting: Diagnose and resolve issues related to AI bot functionality, ensuring minimal downtime and optimal performance.Innovation: Stay updated with the latest trends and advancements in AI, NLP, and ML technologies to continuously improve our solutions.
Requirements:Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.Experience: At least 3 years of experience in developing AI bots using frameworks such as TensorFlow, PyTorch, or Dialogflow.Programming Skills: Strong programming skills in languages like Python, JavaScript, or Node.js. TypeScript, React.JsDevelopment: Django, Flask, NextJs, Tailwind CSS, NLP Tools: Proficiency with NLP tools and libraries such as NLTK, spaCy, or BERT.API Integration: Experience with RESTful APIs and web services.Problem-Solving: Excellent problem-solving skills and attention to detail.Communication: Good communication and teamwork abilities, capable of explaining technical concepts to non-technical stakeholders.Knowledge of Tools: Familiarity with LangChain, LlamaIndex, and Hugging Face libraries and frameworks.Bonus Skills: Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, Google Cloud).
Company OverviewAt Brainal Dev, we specialize in the development and integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies to drive business innovation and efficiency. Our dedicated team of experts is committed to helping businesses leverage the power of AI and ML through tailored solutions and seamless integration of advanced technologies.
Services We Offer: AI and Machine Learning Integration and TechnologiesWe provide comprehensive AI and ML solutions designed to unlock the full potential of your business. Our services include the integration, customization, and maintenance of prebuilt and pretrained Large Language Models (LLMs), ensuring they meet your specific business needs.Chatbot API: Enhance customer engagement and support with intelligent chatbot solutions.Facial Recognition API: Implement secure and efficient facial recognition systems.Natural Language Processing APIs: Improve communication and data processing with advanced NLP capabilities.AWS AI & ML Solutions: Utilize the power of AWS for scalable and robust AI and ML applications.Azure AI & ML Solutions: Leverage Microsoft Azure’s AI and ML tools for innovative business solutions.Google AI & ML Solutions: Harness Google’s cutting-edge AI and ML technologies for your enterprise needs.
Model IntegrationSeamlessly integrate advanced AI and ML models into your existing systems to enhance functionality and performance.Model Customization (Fine Tuning)Tailor pretrained models to meet your unique requirements through fine-tuning, ensuring optimal performance and relevance.Application DevelopmentDevelop custom AI and ML-driven applications that address specific business challenges and opportunities.
Predictive AnalyticsUtilize predictive analytics to gain actionable insights and make informed business decisions.
Data MiningExtract valuable information from large datasets to identify patterns, trends, and relationships that drive business strategy.
Recommendation SystemsImplement intelligent recommendation systems that personalize user experiences and enhance engagement.
Statistical ModelingApply statistical modeling techniques to solve complex business problems and optimize operations.