The Lead AI/ML Engineer designs AI/ML solutions for gaming platforms, mentoring other engineers and applying best practices in model development, collaboration, and innovation.
Why Head Digital Works?
Join a pioneering team applying AI to revolutionize real money gaming experiences. At HDW, innovation isn't just encouraged it's expected. If you're passionate about gaming, AI, and building intelligent systems that entertain and delight, this is your arena.
Role Overview:
As a Lead AI/ML Engineer at Head Digital Works, you’ll design and deliver applied AI/ML solutions across our Rummy & Poker gaming platforms powering immersive experiences, intelligent automation, and large‑scale player personalization. You’ll address business problems across product, support, acquisition, retention, fraud/risk. You’ll lead initiatives from the concept, mentor engineers, and collaborate across product and analytics to unlock high‑impact AI in gaming.
This role isn't just about building models it's about crafting intelligent systems that learn from player behavior and adapt over time.
Key Responsibilities:
ML Strategy & Ownership: Lead ML solutions for high‑impact gaming use cases—player segmentation, fraud & collusion detection, recommendations, and personalization during live play.
Research & Prototyping: Track emerging research; prototype new ML/LLM techniques; run internal experiments to assess value in gaming environments.
Model Development: Build models on large‑scale player data; deliver reproducible training code & inference artifacts; define quality criteria and ROI evaluation.
Team Leadership: Lead technical discussions, mentor senior ML engineers, conduct code reviews, define standards, and drive adoption of engineering best practices.
CrossFunctional Impact: Collaborate closely with product managers, backend teams, and analytics leads to align ML work with measurable business goals.
Reusable ML Solutions: Drive best practices in reproducible modeling, version control, and interpretability.
Champion AI Innovation: Share demos, run workshops, and promote continuous learning across teams.
Qualifications:
Bachelor’s or Master’s in Computer Science, Mathematics, Statistics, or related field.
5+ years of experience in ML/AI with at least 1-2+ years mentoring other engineers; track record of delivering ML solutions used across multiple business functions.
Proficiency in Python; solid software engineering practices for production-grade, maintainable, well-tested, modular code.
Track record in handling large, high‑cardinality tabular data (player, session, transactional), including sparsity handling, feature encoding, and scaling.
Expertise in core ML/DL frameworks pandas, scikit‑learn, TensorFlow, PyTorch; working familiarity with MLflow or similar experiment tracking tools.
Deep learning architecture experience have built/trained at least one major neural architecture (CNN, RNN/LSTM, Transformer/sequence models).
Advanced NLP/LLM experience prompt engineering, fine‑tuning, and API integration (Hugging Face ecosystem, Llama, Claude, GPT).
Ability to define modeling hypotheses and collaborate on evaluation methods (offline metrics, A/B input signals) and business impact analysis.
Ability to lead discussions with senior stakeholders, document designs, and provide technical mentorship.
Strong AI first mindset actively use AI tools (e.g., GitHub Copilot, LangChain) to enhance daily workflows, improve velocity, and automate repetitive dev tasks.
Agile and iterative mindset with a commitment to quality and speed.
Preferred Skills:
Experience with Reinforcement Learning, RAG pipelines, or agentic AI is a significant plus.
Familiarity with data tools like Airflow, Spark, Kafka, Snowflake, Databricks and cloud platforms (AWS, GCP, Azure) for prototyping or data exploration.
Awareness of MLOps practices CI/CD, monitoring, alerting.
Peer-reviewed publications or filed patents in AI/ML.
Background in personalization systems, multiplayer behavior modeling ideally in B2C gaming, real‑money Rummy/Poker, or broader consumer tech.
Strong sense of ownership, curiosity, and a bias toward building fast and learning faster.
What Drives Us?
Player-First Mindset: We build experiences that delight, empower and protect our players.
AI-Led Innovation: We use cutting-edge ML to transform gaming intelligently and responsibly.
Own the Outcome: We take end-to-end responsibility from idea to measurable player & business impact.
Collaborate & Grow: We succeed as a team and grow through continuous learning and mentorship.
Top Skills
Airflow
AWS
Azure
Databricks
GCP
Kafka
Mlflow
Pandas
Python
PyTorch
Reinforcement Learning
Scikit-Learn
Snowflake
Spark
TensorFlow
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