Machine Learning Engineer at Tilt, developing personalisation solutions across various app surfaces. Collaborate with teams to enhance recommendation systems on a video - first shopping platform.
About the role
- Staff Machine Learning Engineer to raise AI system design standards for B2B SaaS platform. Leading complex initiatives while building and operating production-grade AI/ML systems.
Responsibilities
- Lead the design and development of AI/ML systems starting from problem framing, decision boundaries, and operational constraints.
- Drive system and architecture decisions for AI and ML platforms, ensuring scalability, performance, and operational excellence.
- Design and evolve context engineering strategies for LLM-based systems under strict context window and latency constraints.
- Architect agent-based systems, including agent roles, interaction models, coordination strategies, and failure handling.
- Build and operate production AI systems with ownership of reliability, latency, cost, and correctness.
- Define evaluation frameworks for AI and agent behavior beyond offline model metrics.
- Scale AI-assisted development and reusable AI workflows to improve engineering velocity and system quality.
- Review and approve ML designs, guiding tradeoffs across model quality, system complexity, and business impact.
- Mentor senior engineers and data scientists, raising standards in AI system design, ML engineering, and production readiness.
- Partner with product and engineering leaders to translate ambiguous business problems into well-scoped, high-impact AI/ML solutions.
- Contribute to multi-quarter technical strategy, aligning AI and ML investments with company objectives.
Requirements
- 12+ years of experience across AI, ML, and software engineering roles.
- Strong coding skills in Python, Scala, or Java, with a track record of production-quality systems.
- Hands-on experience in building, evaluating, and operating LLM-powered systems in production.
- Strong understanding of context engineering, including information prioritization, relevance, and degradation under constraints.
- Experience designing AI workflows or agentic systems, including task decomposition, orchestration, and failure handling.
- Deep hands-on expertise in ML system design, NLP, feature engineering, and operational ML.
- Experience deploying AI/ML systems on at least one major cloud platform.
- Hands-on experience with Big Data or streaming systems (e.g., Spark, Kafka, Airflow).
- Proven ability to lead through influence, mentor engineers, and drive cross-team initiatives.
- Strong business and product mindset, with the ability to map AI/ML solutions to measurable outcomes.
Benefits
- Group Medical
- Personal Accident
- Term Life Insurance
- Preventive healthcare covers dental, vision, and OPD needs
- Strong mental health support
- Fitness benefit
- Car lease policy
- Gratuity for long-term financial well-being
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Senior Machine Learning Engineer architecting next - generation AI platforms for healthcare and fintech with Nitra's diverse team. Focused on data pipelines, ML infrastructure, and production - ready AI systems.
Senior Machine Learning Engineer architecting and building Nitra's data and AI platform. Driving intelligent products across healthcare and fintech industries with applied AI and platform engineering.
Machine Learning Engineer developing and implementing ML models for lending at Blue Whale Lending LLC. Collaborating with teams to enhance data insights and validate model performance.
Applied ML Engineer contributing to machine learning and perception tasks for edge - intelligent maritime systems. Collaborating with cross - functional teams to deliver real - world AI solutions.
AI/ML Engineer building data science and AI solutions for Pharma and MedTech clients on Azure. Collaborating with teams to deliver end - to - end machine learning projects.
ML Engineering Lead at Saris AI tackling multi - modal AI systems in banking. Drive technical direction and build high - performing teams in an early - stage startup environment.
Machine Learning Engineer designing and training lightweight ASR models for mobile devices at Plaud. Contributing to optimization, multilingual data management, and deployment collaboration.
Machine Learning Engineer designing post - processing test suites for AI interaction systems at Plaud Inc. Collaborating on speech algorithm training and user experience optimization in San Francisco.
Senior MLOps Engineer deploying ML - powered applications at Allica Bank. Building, prototyping, and ensuring the reliability of AI tools for SMEs.