---
title: 'Machine Learning Specialist at Encora'
canonical: 'https://feeny.ai/job/machine-learning-specialist-encora-makati-c8st5er0n1vg'
type: 'job'
last_seen: '2026-09-08'
---

# Machine Learning Specialist at Encora

- **Company:** Encora
- **Location:** Makati, Philippines
- **Posted:** 2026-08-14
- **Last confirmed live:** 2026-09-08
- **Apply:** https://job-boards.greenhouse.io/encora10/jobs/5211063007

## Job description

Position Title:      Machine Learning Specialist (Research & Engineering)

Work Location:    BGC, Taguig City. (2 x onsite per week  hybrid set up)

We are seeking a versatile Machine Learning Specialist to own the end-to-end lifecycle of AI development. This role is designed for a technical expert who can navigate the entire spectrum of machine learning—from conducting state-of-the-art research and fine-tuning foundational models to architecting the production-grade pipelines and APIs that bring these models to life. You will bridge the gap between theoretical innovation and scalable business impact, ensuring our AI solutions are both cutting-edge and operationally robust.

## Key Responsibilities

The following are key areas of responsibility, but not limited to the ff:

- Research & Experimental Innovation
- Advanced Research: Conduct deep-dive research into state-of-the-art (SOTA) architectures and foundational models to solve complex business problems like credit scoring, fraud detection, and personalization.
- Model Optimization: Execute rigorous hyperparameter tuning and fine-tuning techniques (e.g., PEFT, LoRA, QLoRA) to maximize model accuracy and efficiency.
- Benchmarking & Evaluation: Develop comprehensive evaluation frameworks and leaderboards to monitor model accuracy and compare experimental iterations.
- Data Strategy & Engineering
- Pipeline Design: Lead the design of experimentation datasets and production data pipelines, focusing on feature engineering and data augmentation.
- Data Quality: Ensure high-quality data inputs for both training and real-time inference, collaborating with data squads to maintain data integrity.
- Production Engineering & MLOps
- Deployment & Orchestration: Architect and manage the end-to-end deployment of models using containers (Docker, Kubernetes) and CI/CD pipelines.
- System Integration: Build robust APIs to integrate AI models with internal platforms and refactor research code into production-grade, low-latency, and high-throughput codebases.
- Model Governance: Implement MLOps best practices, including versioning (DVC), drift detection, and automated "quality gates" to ensure alignment with internal KPIs and regulatory standards.
- Squad Collaboration & Agile Delivery
- Active Squad Collaboration: Work as a core member of a cross-functional squad, aligning daily with Data Engineers, Backend Developers, and Product Owners to ensure seamless product integration.
- Agile Participation: Drive technical value within Agile ceremonies (Stand-ups, Sprints, Retrospectives) by translating high-level business requirements into executable research hypotheses and production-ready sprints.
- Documentation & Knowledge Leadership
- Technical Documentation: Author and maintain the full technical stack documentation, ranging from scientific research findings and experimental logs to system architecture diagrams and deployment guides.
- Peer Mentoring: Act as a technical subject matter expert by mentoring squad members, conducting code reviews, and fostering an internal culture of AI literacy and "New Ways of Working."

## Minimum Requirements

- Education: Undergraduate degree in a quantitative field (e.g., Computer Science, Statistics,Information Technology or Physics, or Mathematics). A Graduate degree (Master’s or PhD) is highly preferred for the research component.
- Experience: 3+ years in a functionally similar role (Data Science, ML Research, or ML Engineering).
- Technical Proficiency: * Expert-level Python and SQL.
- Strong experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX).
- Hands-on experience with Git, CI/CD, and MLOps tools.
- Mindset: A strong bias toward model explainability and security.

## Preferred Skills

- Portfolio: A demonstrable portfolio of advanced AI use cases (e.g., GenAI, NLP, Recommender Systems, or Graph Algorithms).
- Cloud Infrastructure: Familiarity with AWS, GCP, or Azure AI services.
- Publications: Published research in relevant AI/ML conferences or journals.

## About Encora

## Core Business
- Primary industry: IT Services and IT Consulting; digital product engineering; AI and cloud services
- Target customers: B2B, enterprise, digital-native organizations, and large corporations seeking modernization and innovation acceleration
- Mission: To deliver innovation acceleration and industry contextual modernization to clients through AI-first design, orchestration, and engineering services
- Vision: To power a world where every enterprise is endlessly composable, driven by digital workers, infinite scalability, and the freedom to innovate without limits

## Products & Services
- **Encora AIVA™**: An orchestration platform for AI-native engineering, enabling composable enterprise systems that sense change and reconfigure in real time.
- **Software Engineering Services**: Full-stack development, cloud migration, data engineering, AI/ML solutions, and product engineering across industries (fintech, healthcare, retail, etc.).
- **Nearshore Delivery Model**: Global delivery centers in the Americas, Europe, India, and Southeast Asia, providing nearshore agility with global scale.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (acquired by Coforge; acquisition terms not publicly detailed)
- **Key Metric**: Annual Revenue: USD $630 million (latest); Total Funding: USD $215 million across 3 rounds
- **Notable Investors/Partners**: Warburg Pincus (lead investor in $200M PE round in 2019); Coforge Limited (parent company post-acquisition)
- **Growth Signals**:
  - Acquired by Coforge (April 2026) – financial consolidation from May 1, 2026, with a 20–25% G&A reduction target
  - Workforce of ~6,191 employees (down 0.4% YoY) operating in 42 countries
  - Active job postings: 349 (+53.1% YoY)
  - Recognized as “Best Companies to Work For” in India (2025), top 4 among multinationals in Brazil, and top 10 in Peru

## Competitive Advantages
- **Global Nearshore Scale**: 9,500+ engineers, designers, and domain experts across 42 countries, offering cost-effective, time-zone-aligned delivery.
- **AI-First Engineering**: Proprietary Encora AIVA™ platform for orchestrating AI-native solutions, differentiating from traditional IT services firms.
- **Deep Industry Expertise**: Hyperspecialized in cloud, data, and AI with a track record of serving digital-native clients and large enterprises.
- **Acquisition Backing**: Integration into Coforge provides access to larger client programs and expanded career pathways.

## Strategic Focus
- **Post-Acquisition Integration**: Seamlessly merging with Coforge while maintaining Encora’s brand and delivery capabilities. Near-term priorities include org restructuring, process alignment, and cost synergy realization.
- **AI-Native Services**: Doubling down on AI agents, trusted AI governance, and outcome-led engineering to move clients beyond experimentation.
- **Talent Development**: Expanding learning & development programs (AWS, Azure, Snowflake, GCP, Databricks certifications) and internal mobility to retain top engineers.

## Why Work Here
- **Culture & Recognition**: Certified “Great Place to Work” in multiple regions; recognized by Comparably for Career Growth, Best Engineering Team, Best Company for Diversity, and Company Happiness.
- **Remote/Hybrid Policy**: Flexible work-from-home scheme; remote workers in Mexico receive a monthly allowance of MXN 700 for internet/electricity, plus desk and chair after 3 months. No dress code, pet-friendly environment.
- **Perks & Benefits** (varies by location):
  - Top-of-the-line MacBook Pro
  - Unlimited book budget and training/certification support
  - Private health insurance (including family) with dental and life insurance
  - 12 days paid vacation from day one (Mexico), 5 days PTO, 30 days aguinaldo (mandatory annual bonus)
  - Psychotherapy support (12 sessions covered fully)
  - Savings fund, grocery vouchers, and snack stations in select offices
- **Considerations**: Compensation inconsistency across geographies and accounts; project-dependent stability; change fatigue from post-acquisition integration. Candidates should confirm review cycles, salary bands, and account assignment during interviews.

## Sources
1. [wellfound.com](https://www.encora.com/?avantica-is-now-encora) – Encora company profile (revenue, funding, employees)
2. [linkedin.com](https://www.linkedin.com/company/encorainc) – Encora LinkedIn page (followers, recent departures, locations)
3. [builtin.com](https://builtin.com/company/encora/faq/workplace-perception) – Workplace perception analysis (post-acquisition integration, compensation, culture)
4. [assets.ctfassets.net](https://assets.ctfassets.net/yon5rraf34cy/4MbvOWuHfRCr3sdTTjxiKn/0c58eaca56fffcd235e68110fcc2664e/FAQ_Encora_Inc_-_Mexico.pdf) – Encora Mexico FAQ (benefits, remote work, leave policies)
5. [careers.encora.com](https://careers.encora.com/why-encora) – Encora careers page (values, mission, recognition)

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