Senior ML / AI Engineer

at  Encora

JOB SUMMARY

As a Senior ML / AI Engineer (12633), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.

QUALIFICATIONS AND SKILLS

• Bachelor’s degree in computer science, software engineering, or a related field.
• Extensive experience in software development with a focus on designing and building scalable applications.
• Professional/ Advanced English skills.
• +5 years of experience.
• Solid understanding of vector mathematics, cosine similarity, and Euclidean distance (MUST)
• Proficient in Python programming with experience in building scalable and maintainable codebases.
• Strong understanding of embedding models, vector databases, and similarity search methods.
• Hands-on experience with tools like FAISS, Pinecone, Weaviate, or similar.
• Experience with LLM frameworks such as LangChain.
• Knowledge of data preprocessing techniques for handling textual, audio, and video data.
• Experience with embedding generation for multimedia content is a plus.
• Data and ML Knowledge
• Experience with RAG workflows and their integration with LLMs.
  About Encora
  Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

• Design and implement end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment.
• Optimize infrastructure for large-scale data and real-time inference using cloud platforms.
• Deploy models to production environments, ensuring scalability and low-latency performance.