Ai Developer

**AI Developer****The Company**:Wizeline is a global digital services company helping mid-size to Fortune 500 companies build, scale, and deliver high-quality digital products and services.We thrive in solving our customer's challenges through human-centered experiences, digital core modernization, and intelligence everywhere (AI/ML and data).We help them succeed in building digital capabilities that bring technology to the core of their business.**Our People**:At Wizeline, we are a team of nearly 2,000 people spread across 25+ countries.We understand that great technology begins with outstanding talent and diversity of thought.Our business was built on doing well and doing good, and our values of Ownership, Innovation, Community, and Diversity & Inclusion are embedded within our company's DNA.We are committed to offering our Wizeliners the opportunity to create their career path and develop the skills needed to achieve their personal goals.**Community Impact**:We are proud to contribute to local economies by developing technology ecosystems in places like Mexico, Colombia, and Vietnam.We also created Wizeline Academy, a free, community-based education program that teaches high-value skills to workers looking to advance their tech industry careers.As of ****, Academy has served more than 28,000 students across 675 courses.Wizeliners have the opportunity to upskill by taking Wizeline Academy courses and can also share their expertise by delivering classes to students.**The Role**:As an AI Engineer, you will be at the forefront of AI innovation, responsible for designing, implementing, and optimizing AI solutions that address complex business challenges.Your work will involve a combination of best practices from software engineering and data science, enabling the creation of intelligent systems.You will collaborate closely with cross-functional teams to ensure that AI solutions are integrated seamlessly into business operations, driving both strategic and operational excellence.- Conduct thorough data exploration and preprocessing to prepare high-quality datasets for AI implementation.- Implement, develop, and optimize unstructured data preprocessing techniques for text, images, audio, and video data.- Implement indexing techniques and data pipelines to support efficient retrieval and storage of large-scale unstructured and structured data.- Collaborate with cross-functional teams to integrate AI solutions into existing products and workflows.- Manage the full AI/ML project lifecycle from research and development to deployment and continuous optimization.- Develop and maintain scalable AI/ML pipelines using AWS, Google Cloud, or Azure.- Ensure ethical AI development practices, focusing on fairness, transparency, and data privacy.- Develop and deploy APIs and services that integrate AI solutions into existing business systems, ensuring seamless interaction across platforms.- Conduct prompt engineering and implement RAG (retrieval-augmented generation) for specific use cases.- Implement and optimize AI/ML and GenAI tools for image processing, computer vision, semantic segmentation, and natural language processing (NLP).**Are You a Fit?**:Sounds awesome, right?Now, let's make sure you're a good fit for the role.- Bachelor's or Master's in Computer Science, AI, Data Science, or related field.- Strong proficiency in Python, and AI frameworks such as TensorFlow and PyTorch.- Experience with generative models (GANs, VAEs, LLMs), traditional machine learning algorithms, and natural language processing (NLP).- Experience with deep learning models.- Proficiency in GenAI frameworks and orchestration tools such as LlamaIndex and LangChain.- Experience with LLMOps and traceability platforms such as W&B, LangFuse, LangSmith, and DataBricks.- Strong knowledge of unstructured and structured data preprocessing techniques and data engineering practices.- Familiarity with big data tools and techniques for handling large datasets.- Experience with Vector DBs such as Pinecone and Weaviate, and hybrid search systems combining keyword, fuzzy, and semantic search.- Familiarity with indexing techniques and large-scale data retrieval systems.- Proficiency in cloud computing and AI deployment on platforms like AWS, Google Cloud, or Azure, including evaluation and monitoring of AI models.- Excellent problem-solving and analytical skills.- Strong communication skills for effective teamwork and stakeholder engagement.- Familiarity with the software development lifecycle (SDLC) and deployment strategies.- Familiarity with the principles of ethical AI, including data privacy, algorithmic fairness, and transparency in AI systems.- Familiarity with Gen AI evaluation frameworks and metrics.**Why You Should Apply**:Still not convinced you should apply?Here are some of the things that make Wizeline different from other technology services companies:**Our Values**:At Wizeline, we value in