Job Title: AI Developer / AI Engineer
Location: Dallas, TX / Tampa, FL / Jersey City, NJ
Work Mode: Hybrid / Onsite
Experience: 4+ Years
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Job Summary:
We are seeking a talented and innovative AI Engineer to join our team. The ideal candidate will have hands-on experience in designing, developing, and deploying Artificial Intelligence and Machine Learning solutions that drive business value. This role requires expertise in building intelligent systems, developing predictive models, integrating AI solutions into enterprise applications, and working with large-scale datasets in a collaborative and fast-paced environment.
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Key Responsibilities:
* Design, develop, and deploy AI and Machine Learning models for business applications.
* Build and optimize data pipelines to support AI/ML workflows.
* Develop and maintain scalable AI solutions using modern frameworks and tools.
* Collaborate with data scientists, software engineers, and business stakeholders to define AI requirements and deliver solutions.
* Train, evaluate, and fine-tune machine learning and deep learning models.
* Implement and monitor model performance in production environments.
* Integrate AI capabilities into existing enterprise applications and platforms.
* Perform data preprocessing, feature engineering, and model validation.
* Stay updated with emerging AI technologies and industry best practices.
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Required Skills:
* Strong proficiency in Python programming.
* Hands-on experience with Machine Learning and Artificial Intelligence frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
* Experience with Generative AI, Large Language Models (LLMs), and AI application development.
* Knowledge of Natural Language Processing (NLP), Deep Learning, and Predictive Analytics.
* Experience with data manipulation libraries such as Pandas and NumPy.
* Strong understanding of model training, evaluation, and deployment processes.
* Experience working with SQL and NoSQL databases.
* Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
* Knowledge of REST APIs and microservices architecture.
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Preferred Qualifications:
* Experience with Retrieval-Augmented Generation (RAG), Vector Databases, and Prompt Engineering.
* Familiarity with MLOps tools and model deployment frameworks.
* Experience with Docker, Kubernetes, and CI/CD pipelines.
* Exposure to LangChain, LlamaIndex, OpenAI APIs, or similar AI ecosystems.
* Experience in Banking, Healthcare, Retail, or Enterprise AI solutions.
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Experience:
* 4+ years of experience in Artificial Intelligence, Machine Learning, or Data Science-related roles.
* Hands-on experience developing and deploying AI/ML solutions in production environments.