Machine Learning Engineer

🔥 0 minutes ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

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• No salary listed.

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Endava

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2000

🏥 Healthcare

📣 Marketing

📦 Logistics

💰 Post-IPO Debt on 2023-02

Healthcare • Marketing • Logistics

Endava is a technology company that partners with clients to drive meaningful change through innovative technological solutions. With over two decades of experience, Endava combines world-class engineering, industry expertise, and a people-centric mindset to transform businesses across various sectors. Specializing in areas such as finance and banking, healthcare, media, and telecommunications, Endava leverages its industry-specific knowledge to create solutions that meet the evolving needs of the market. The company is committed to building trusted partnerships and creating positive impacts for both businesses and people.

📋 Description

• Deploy models as reliable, low-latency services consumed by the mobile app backend • Build and schedule feature pipelines, including daily refresh of customer-level scores • Integrate an external market-news feed, e.g. Refinitiv/LSEG, and product analytics data, including Amplitude and in-app video engagement, into the data warehouse • Implement model monitoring, drift detection, alerting and retraining workflows • Establish deployment patterns, CI/CD and testing standards for ML in the production environment • Document everything needed for long-term ownership • Deliver a handover plan

🎯 Requirements

• 4+ years in software or ML engineering, with models running in production • Strong Python • Model serving via REST/gRPC APIs • Docker and Kubernetes or equivalent • AWS experience, e.g. S3, compute, managed ML services • Data pipelines and orchestration, Airflow or similar • Third-party API integration • CI/CD • Infrastructure-as-code • Observability tooling • Experience in high-availability environments where outages affect customers • Nice to have: Financial services, brokerage or other regulated-industry experience • Nice to have: Feature stores and ML platforms, e.g. MLflow, SageMaker, Feast • Nice to have: Market data or financial news feeds

🏖️ Benefits

• Competitive salary package • Share plan • Company performance bonuses • Value-based recognition awards • Referral bonus • Career coaching • Global career opportunities • Non-linear career paths • Internal development programmes for management and technical leadership • Complex projects • Rotations • Internal tech communities • Training • Certifications • Coaching • Online learning platforms subscriptions • Pass-it-on sessions • Workshops • Conferences • Hybrid work • Flexible working hours • Employee assistance programme • Global internal wellbeing programme • Access to wellbeing apps • Global internal tech communities • Hobby clubs and interest groups • Inclusion and diversity programmes • Events and celebrations

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