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BUILD YOUR PATH
OPPORTUNITIES ARE HERE AND THEY ARE MEANT TO BE TAKEN
WOULD YOU?
AI Developer Specialist
Full Time
IT R&D
México
Salary Range: US$36,000.00 to US$120,000.00* per Annually
*Depending on experience, capabilities & performance
CA-IRD-58192
Job Description
Key Responsibilities:
Collaborating with stakeholders to identify business needs and requirements for AI projects.
Designing and developing AI models, algorithms, and systems to solve business problems and improve operational efficiency.
Conducting data preprocessing, cleaning, and transformation to ensure data quality and suitability for AI modeling.
Building and training machine learning models and deep learning neural networks using libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
Optimizing and fine-tuning AI models for accuracy, performance, and scalability.
Implementing natural language processing (NLP) techniques for text analytics, sentiment analysis, and language generation.
Integrating AI models and systems into existing software applications and platforms.
Collaborating with software engineers and data scientists to deploy AI solutions into production environments.
Conducting testing, validation, and evaluation of AI models to ensure robustness and reliability.
Staying updated with the latest advancements in AI, machine learning, and deep learning technologies, and applying them to solve complex business challenges.
Key Activities:
Collaborating with stakeholders to understand business needs and requirements for AI projects.
Designing and developing AI models, algorithms, and systems to solve business problems.
Preprocessing and preparing data for AI modeling, ensuring data quality and suitability.
Building and training machine learning models and deep learning neural networks using frameworks like TensorFlow or PyTorch.
Optimizing and fine-tuning AI models for accuracy, performance, and scalability.
Implementing natural language processing (NLP) techniques for text analytics and language generation. Integrating
AI models and systems into existing software applications and platforms.
Conducting testing, validation, and evaluation of AI models to ensure reliability and robustness.
Staying updated with the latest advancements in AI, machine learning, and deep learning technologies.
Collaborating with software engineers and data scientists to deploy AI solutions into production environments.
Academic Skills and Qualifications
Degree in Computer Science or AI: A Bachelor’s or Master’s degree with a focus on Artificial Intelligence, Machine Learning, or Computational Linguistics.
Advanced Python Proficiency: Mastery of Python for AI development, specifically using libraries like PyTorch, Hugging Face Transformers, and NumPy.
LLM Orchestration Frameworks: Academic or professional mastery of LangChain, LlamaIndex, or Haystack to build multi-step "Agentic" workflows.
Neural Network Foundations: Deep understanding of the Transformer architecture (Attention mechanisms, Encoders/Decoders) to optimize Claude’s performance.
API Engineering & Integration: Expert knowledge in designing and consuming high-scale APIs, with a focus on streaming data and error-handling for LLMs.
Retrieval-Augmented Generation (RAG) Development: Ability to build and optimize the pipeline that connects your MLS data to the AI's "working memory."
Tokenization & Embedding Logic: Theoretical understanding of how text is converted into high-dimensional vectors and how to choose the right embedding models for Real Estate terminology.
Prompt Programming & DSPy: Knowledge of programmatic prompt optimization (using frameworks like DSPy) to move beyond manual "trial and error" prompting.
Vector Database Management: Hands-on experience with Pinecone, Milvus, or Qdrant for storing and retrieving property listing embeddings.
Backend Engineering: Proficiency in FastAPI or Go to build the high-speed middleware that handles the AI's logic before it reaches the UI.
Evaluation & Benchmarking Math: Ability to implement mathematical scoring (like BLEU, ROUGE, or custom ROI accuracy metrics) to test the AI’s output.
Containerization & Deployment: Knowledge of Docker and Kubernetes to ensure AI services can be deployed consistently across different regions.
Key Skills and Qualifications:
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. X+ years of hands-on experience in developing and implementing AI solutions.
Strong knowledge of machine learning algorithms, deep learning frameworks, and NLP techniques.
Proficiency in programming languages such as Python, R, or Java. Experience with AI development libraries and frameworks, such as TensorFlow, PyTorch, Keras, or scikit-learn.
Familiarity with cloud platforms and services, such as AWS, Azure, or Google Cloud Platform, for AI model deployment.
Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
Strong analytical and problem-solving skills. Excellent communication and collaboration abilities.
Ability to work in a fast-paced, dynamic environment and deliver high-quality results under tight deadlines.
Work Experience:
Bringing over 3 years of experience, developed and optimized machine learning models and AI algorithms to improve business processes. Collaborated with cross-functional teams to implement AI solutions, conducted data preprocessing, and ensured model performance met project objectives.
Daily Job Schedule:
The daily job schedule will follow the standard working hours of the company, typically from 9:00 AM to 5:00 PM. However, flexibility may be required to accommodate project deadlines and deliverables.
What we offer!
At our organization, we work hard to establish a welcoming environment that draws in and keeps great people. We are aware of the importance of a supportive workplace environment for our employees' success and happiness. Here is a summary of the ideal workplace culture we provide to attract all job hopefuls:
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An inclusive and diverse culture is important to us because we think that different viewpoints and experiences foster better creativity and problem-solving. Every employee feels accepted, valued, and empowered to offer their special thoughts and experiences because we promote an inclusive atmosphere.
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We encourage teamwork and collaboration because we know that when people work together, they typically get the best results. To create a friendly and supportive workplace, we promote open communication, idea exchange, and cross-functional cooperation.
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Opportunities for Growth and Development: We place a high priority on our workers' continued development. To improve their skills and expertise, we provide a range of learning and development programs, mentorship opportunities, and ongoing training. We give employees a clear career path and aid them in reaching their professional objectives.
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Work-Life Balance: We are aware of how crucial it is to keep a positive work-life balance. We encourage employees to take time off to recover and pursue personal interests and we provide flexible work schedules, remote work opportunities (where appropriate), and other benefits. We think that having a healthy work-life balance makes people happier and more effective.
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Recognizing and rewarding hard work and contributions from employees is important to us. We offer benefits and attractive salary packages that are in line with industry standards, and we have a structured recognition program that recognizes excellent achievement.
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Employee Support: We place a high priority on our employees' support and well-being. We provide access to services for both physical and mental health as well as comprehensive health insurance policies, wellness initiatives, and programs. We encourage staff to express their concerns or ask for help when necessary and maintain an open-door policy.
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Environment for Innovation and Creativity: We promote an atmosphere for innovation and creativity. We give workers the freedom, autonomy, and resources they need to try out novel concepts, innovative ideas, and cutting-edge technologies. We support questioning the status quo and making continual improvements to our procedures and products.
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Social responsibility and sustainability are important to us because we want to have a beneficial influence on both people and the environment. We offer volunteer opportunities, sustainability programs, and corporate social responsibility activities so that staff members can support worthwhile causes and change the world.
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Transparent Communication: We support open lines of communication and educating staff on new initiatives, objectives, and tactics. We have regular town halls, team meetings, and offer avenues for comments and feedback. We value candid conversation and welcome employee ideas and input.
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Fun and Engaging Activities: We are committed to fostering a positive work environment. We plan social events, team-building exercises, and joint milestone and achievement celebrations. We support an upbeat, welcoming environment where humor and creativity flourish.
Benefits
Health & Wellness
Fitness & Recreation
Health Insurance
Life Insurance
Continuing Education
Training & General Education
Foreign Language
Family
Flexible Scheduling
Child Care
Finance
Retirement Plan
Bonus / Compesation
Free Time
Paid Off Time
Sick Leave
Law Enforcement & Veteran Benefits
Special Discounts
Special Learning Programs
DISCLAIMER
IMPORTANT: earnings and legal disclaimers Carlos Ayala is an Internet marketing and security professional and his results are not typical. Your experiences are not a guarantee that you will earn money. You can do more, less or the same or nothing at all. This is purely educational. No income is guaranteed.
Only serious and ambitious entrepreneurs please apply.
Prices are subject to change without notice. No refunds will be allowed for tickets at any price level. If for some reason you cannot attend the events that are organized, you will receive full credit for your investment in my store (iamcarlosayala.com). There is no risk for your investment with me today.