Public showcase · opt-in profiles
AI talents on Ganloss
14 verified profiles — LLM engineers, MLOps, data scientists, and AI product. Photo, experience, and skills are public; email, phone, and contact links stay private.
- Registered profiles with photo and work history
- Students and apprentices excluded from the showcase
- Contact details hidden — reach out via Ganloss recruiters
14 indexed public profiles
All public talents
Jacob Paul
Ingénieur IA / MLOps · GenAI, LLM & pipelines prod
10801 · Hybrid
Data science professional with experience across automation engineering, analytics, and enterprise delivery, including specializing in machine learning, financial risk modeling, and data analytics. Proven track record of developing production-ready machine learning solutions across financial services, including banking, payments, trading risk, and insurance analytics. Expert in Python, SQL, Databricks, and Azure cloud environments with strong experience in big data processing (80M+ records), anomaly detection, and enterprise-scale ML deployment using CI/CD and containerization frameworks. Modeling & Forecasting: Time-Series (GARCH), XGBoost, Random Forest, Gradient Boosting, Demand Forecasting, Risk Scoring, Anomaly Detection, Model Calibration, A/B Testing
Mark Andreyev
Ingénieur data & Python · ML & APIs
60076 · Hybrid
Purdue University, College of Science West Lafayette, IN Bachelor of Science in Computer Science, Minor in Mathematics May 2029 Coursework: Programming in C, Discrete Mathematics, Problem-Solving and OOP, Linear Algebra, Statistics
Emmanuel Efienemokwu
Ingénieur IA / MLOps · GenAI, LLM & pipelines prod
France · Hybrid
https://www.linkedin.com/in/nuelemmanuel https://github.com/codeincraft MACHINE LEARNING | ARTIFICIAL INTELLIGENCE ENGINEER Machine Learning and Artificial Intelligence Engineer with expertise in designing, building, and deploying
Pari Manouchehri
Ingénieur IA / MLOps · GenAI, LLM & pipelines prod
France · Remote
DATA SCIENTIST | NLP | MACHINE LEARNING | LLM SYSTEMS Data Scientist experienced in building end-to-end ML systems, NLP applications, anomaly detection, and recommendation engines. Skilled in translating business problems into scalable data products using statistical modeling and experimentation.
Andrea Churchwell
Ingénieur IA / MLOps · GenAI, LLM & pipelines prod
13562 · Hybrid
I came into tech through a nontraditional path and found along the way that I learn best by building. Since then, I’ve worked across Python, full-stack development, machine learning, and applied AI, including helping build a RAG-based learning application and contributing a merged fix to CesiumJS. I’m still early in my tech career, and I’m looking for the chance to keep building, learn from
Vijay Dhavan
Ingénieur IA / MLOps · GenAI, LLM & pipelines prod
France · Hybrid
AI/ML Engineer and Python Developer with 11 months of hands-on experience building AI-powered applications and backend services using Python, FastAPI, Machine Learning, Deep Learning, Generative AI, RAG, and LLMs. Experienced in developing REST APIs, authentication systems, document retrieval pipelines, vector embedding
Likith Kagita
AI engineer · LLM, MLOps & data
United States · Hybrid or remote
Mid-level ML engineer: shipping models, monitoring drift, CI/CD for ML, and GenAI systems (RAG, fine-tuning, guardrails). Partner with product and platform on AWS/GCP; strong communicator for US cross-functional teams.
Qundeel Saleem
AI engineer · LLM, MLOps & data
United States · Hybrid or remote
Mid-level ML engineer: shipping models, monitoring drift, CI/CD for ML, and GenAI systems (RAG, fine-tuning, guardrails). Partner with product and platform on AWS/GCP; strong communicator for US cross-functional teams.
Ochieng Gregory Manton
AI engineer · LLM, MLOps & data
United States · Hybrid or remote
Mid-level ML engineer: shipping models, monitoring drift, CI/CD for ML, and GenAI systems (RAG, fine-tuning, guardrails). Partner with product and platform on AWS/GCP; strong communicator for US cross-functional teams.
Alex Zaharia
Junior AI engineer · Python, ML & data
United States · Hybrid or remote
Early-career AI & data engineer: Python services, SQL, scikit-learn or PyTorch, and first production or GenAI projects (RAG, agents, evaluation). Comfortable in agile teams; open to hybrid or remote roles across the United States.
Fanuel Nawate
AI engineer · LLM, MLOps & data
United States · Hybrid or remote
Mid-level ML engineer: shipping models, monitoring drift, CI/CD for ML, and GenAI systems (RAG, fine-tuning, guardrails). Partner with product and platform on AWS/GCP; strong communicator for US cross-functional teams.
Alexandra Bunaciu
Junior AI engineer · Python, ML & data
United States · Hybrid or remote
Early-career AI & data engineer: Python services, SQL, scikit-learn or PyTorch, and first production or GenAI projects (RAG, agents, evaluation). Comfortable in agile teams; open to hybrid or remote roles across the United States.
Bindu P
AI engineer · LLM, MLOps & data
United States · Hybrid or remote
Mid-level ML engineer: shipping models, monitoring drift, CI/CD for ML, and GenAI systems (RAG, fine-tuning, guardrails). Partner with product and platform on AWS/GCP; strong communicator for US cross-functional teams.
Shayon Banerjee
Junior AI engineer · Python, ML & data
United States · Hybrid or remote
Early-career AI & data engineer: Python services, SQL, scikit-learn or PyTorch, and first production or GenAI projects (RAG, agents, evaluation). Comfortable in agile teams; open to hybrid or remote roles across the United States.
Candidates IA
Show your background without exposing contact details
Add a photo, fill in experience, and enable your public showcase from your candidate dashboard. Student and apprentice profiles are not listed here.
FAQ
Why aren't emails shown?
Ganloss protects candidates: only logged-in recruiters can contact a talent on the platform. The public showcase shows background and skills, never email or phone.
How do I appear in this showcase?
Create a candidate account, complete your profile (photo, experience, skills), and turn on "Public profile" in your dashboard. Student/apprentice profiles are not listed here.
How do I contact a talent?
Create a recruiter account and use the full talent pool to share a job or send a message through Ganloss.
Ganloss vs agencies or LinkedIn?
Ganloss is self-service: opt-in talents with structured stack and background, filterable talent pool, and Google for Jobs listings. Agencies hunt passively; Ganloss is an AI job board with a public candidate showcase and recruiter sourcing in one place.
New talent alert · Docker
Recruiters: get notified when new AI profiles match your stack and remote preferences.
Daily digest · unsubscribe
Hiring AI talent?
Access the full talent pool, contact candidates, and post Google for Jobs listings.