Machine Learning Engineer II
Demandbase· Engineering
Hybrid (Hyderabad)Full-timePosted 2mo ago
About the role
Machine Learning Engineer II to build intelligent data and AI/ML capabilities for Demandbase’s Company and Domains Data teams. Hands-on ML engineering role focused on productionizing ML/GenAI solutions, data pipelines, and scalable AI services for enterprise-scale data across 1P/3P datasets.
Responsibilities
- Design, develop, and productionize Machine Learning and GenAI solutions for Company and Domain intelligence.
- Build data pipelines and solve data problems using LLMs, transformers, and retrieval/RAG techniques where appropriate.
- Develop ML solutions for classification, enrichment, information extraction, ranking, and data quality.
- Experiment with models, prompts, embeddings, retrieval techniques, and ML approaches with quality metrics.
- Collaborate with engineers, analysts, and product managers to translate requirements into scalable, production-grade AI/ML solutions.
- Build LLM applications using RAG, semantic retrieval, tool/function calling, and agentic workflows, integrating enterprise APIs and internal data sources.
- Develop reusable AI services, APIs, and orchestration components.
- AI Evaluation, Quality & ML Engineering —
- Build scalable data and feature pipelines to process large volumes of structured, semi-structured, and unstructured 1P/3P data.
- Develop and maintain evaluation datasets, automated evaluation frameworks, and feedback loops for AI/ML features.
- Define quality metrics and acceptance criteria for accuracy, relevance, grounding, latency, reliability, and cost.
- Analyze failure patterns and production performance to improve data, models, prompts, retrieval strategies, and agent behavior.
- Apply guardrails, grounding, monitoring, and data-quality controls to reduce incorrect or unsupported outputs and improve system reliability.
- Build solutions using Python, SQL, Spark/Pandas, vector search, traditional ML, and LLM-based approaches.
- Production AI Engineering & Operational Excellence —
- Build clean, scalable, and maintainable production-grade AI/ML systems.
- Own features end to end from design and evaluation to deployment, monitoring, and support.
- Operate cloud-native AI services using Docker, Kubernetes, CI/CD, and observability.
- Monitor and improve quality, reliability, latency, scalability, and cost.
- Maintain versioning for models, prompts, configurations, and evaluations.
- Apply strong engineering principles across architecture, distributed systems, concurrency, performance, unit and integration testing, debugging, and code reviews.
Qualifications
- 5–7 years of experience in Machine Learning Engineering, Applied ML, Data Science Engineering, or related areas.
- Strong programming experience in Python and good software engineering fundamentals. Experience with Scala is a plus.
- Hands-on experience building and productionizing machine learning models or ML-driven applications.
- Experience with modern Generative AI and LLM technologies, including LLM APIs or open-source models, embeddings, prompt engineering, and RAG.
- Strong understanding of core ML concepts including model training, feature engineering, model evaluation, experimentation, and inference.
- Experience with NLP, transformers, embeddings, or other techniques for working with unstructured data.
- Strong working knowledge of SQL and experience working with large datasets.
- Working knowledge of at least one cloud platform: AWS, GCP, or Azure.
Skills
Required:PythonSQLSpark/PandasLLMs / Generative AINLP / Transformers
Nice to have:MLOps / ML deployment
Benefits
- Group Medical
- Personal Accident
- Term Life Insurance
- Preventive healthcare covering dental, vision, and OPD
- Mental health support
- Fitness benefit
- Car lease policy
- Gratuity for long-term financial well-being
Last updated Oct 23, 2026. Interested? Apply on the company site.
About Demandbase
Grow high-quality pipeline faster with the only AI platform built for how B2B really buys
Elevate your B2B go-to-market strategy with Demandbase's ABM platform, delivering smarter insights, agent-led automation, and AI-powered pipeline.
ABM platformAIDataB2B salesMarketing automationGTM
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