Senior Machine Learning Engineer

Overview

We seek a seasoned Senior Machine Learning Engineer with a solid foundation in software engineering to integrate Machine Learning and Generative AI capabilities into scalable, production-level software solutions. This position suits a professional with over a decade of software development experience who prefers building end-to-end applications—including front-end, back-end, APIs, and ML-empowered services—rather than engaging primarily in research activities.

Key Responsibilities

The successful candidate will work closely with machine learning researchers, data scientists, and platform teams to convert prototypes, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent workflows into reliable, enterprise-wide systems. They will design full-stack solutions that bring ML and GenAI functionality seamlessly into business applications, develop scalable and secure platforms for model serving and agentic applications, and enhance engineering efficiency by creating reusable ML integration libraries and frameworks. Furthermore, they will guide the organization on the use of different model types and collaborate extensively with cross-functional teams for impactful business delivery.

Essential Qualifications and Experience

• Possession of a Bachelor's or Master's degree in Computer Science, Engineering, or a closely related technical discipline.
• Over 10 years of professional software engineering experience in full stack development, distributed systems, API design, and cloud environments.
• 4 to 6 years managing machine learning or Generative AI systems deployed in production.
• Proven experience architecting and deploying RAG pipelines utilizing embeddings and vector search techniques.
• Hands-on familiarity with vector databases such as FAISS, Pinecone, Weaviate, or Milvus.
• Use of agentic frameworks including LangChain, CrewAI, LangGraph, or AutoGen.
• Expertise in cloud-native development, preferably within AWS infrastructure.
• Proficiency with modern front-end frameworks like React/Next.js, Angular, or equivalent to create robust web-based applications.
• Advanced backend development skills in Python, complemented by proficiency in at least one backend language among Node.js, Java, C#, or Go.
• Understanding and integration experience of conventional machine learning models in commercial products.
• In-depth knowledge of AWS services, including S3, Lambda, ECS/EKS, SageMaker, and API Gateway.
• Experience working with relational databases such as Oracle, cloud data warehouses like Snowflake, vector databases, and knowledge graphs such as Neo4j and RDF/SPARQL.
• Competence in DevOps practices involving CI/CD pipelines, Docker, Kubernetes, GitHub Actions, and infrastructure as code.
• Aware of Responsible AI principles, data privacy, and ethical aspects in AI-powered systems.
• Beneficial experience in automated model monitoring, evaluation frameworks, and alert mechanisms.
• Capability to explain architectural choices and complex technical topics to non-technical stakeholders.

Professional Attributes

• Ability to engineer end-to-end applications combining ML/GenAI services smoothly.
• Skillful in translating ML research outputs and prototypes into scalable production APIs and microservices.
• Strong system design and architecture competencies, including distributed computing, container orchestration, scalability, monitoring, and resilience.
• Thorough understanding of selecting and implementing appropriate ML models for business workflows.
• Experience deploying and managing multi-agent systems in operational environments.
• Practical knowledge of observability tools such as Prometheus, Grafana, OpenTelemetry, and comprehensive logging and metrics pipelines.
• Committed to engineering discipline incorporating CI/CD, automated testing, version control, tracing, blue/green deployments, and best practices for secure coding.
• Aptitude for researching and evaluating new GenAI tools and frameworks for feasible adoption.
• Excellent collaboration, mentoring, and communication skills to drive cross-team success.

Additional Information

Interested candidates are encouraged to submit their resumes directly to the specified contact email.