Job Description

Responsibilities: - Design, build, and deploy machine learning models for predictive analytics, classification, recommendation systems, NLP, or computer vision use cases. - Collaborate with data scientists, product managers, and engineers to understand business problems and translate them into ML/AI solutions. - Optimize model performance through feature engineering, hyperparameter tuning, and algorithm selection. - Build end-to-end ML pipelines, ensuring seamless integration with production systems. - Work on large-scale data processing using frameworks such as Spark, Hadoop, or distributed ML libraries. - Monitor, maintain, and improve deployed models through MLOps best practices(CI/CD, monitoring, retraining). - Stay up to date with the latest developments in AI/ML research and toolsand apply them to solve real-world problems. Requirements: - Strong programming skills in Python(knowledge of Java/Scala/C++ is a plus). - Expertise in machine learning frameworks(TensorFlow, PyTorch, Scikit-learn, XGBoost, etc. ). - Solid understanding of statistics, probability, and linear algebra. - Hands-on experience with data preprocessing, feature engineering, and model deployment. - Experience with cloud platforms(AWS, GCP, Azure) and ML services. - Proficiency in working with SQL and NoSQL databases. - Knowledge of MLOps tools(MLflow, Kubeflow, Airflow, Docker, Kubernetes). Company Summary Meant To Be is a bold new venture at the intersection of social, dating, and AI, founded by seasoned leaders who've built and scaled platforms across social, gaming, and consumer tech. We are on a mission to reimagine how people connect, engage, and build meaningful relationships in the digital age. At Meant To Be, we're reimagining how meaningful connections are made. Our platform is designed for the contemporary generationblending the magic of AI,



the freedom of creativity, and the warmth of authentic community. Here's what users can expect: - AI-matched connections: No more endless swiping. Our intelligent matching engine uses personality signals, preferences, and behavioral insights to discover people who truly resonate. - Creative ways to express ourselves: Profiles aren't just static bios, bringing stories to life with creative prompts, audio intros, aesthetic design tools, and personalized content. - Conversation starters that matter: Engage with curated games, challenges, and AI-generated icebreakers designed to spark fun, meaningful conversations. - Safety first: Built-in safety features like selfie verification, AI moderation, and user controls ensure a respectful and secure environment. - Community-driven discovery: Join niche interest groups, attend virtual events, and discover people who vibe with passions from art and music to philosophy and memes. - Intent-based modes: Whether someone is here for meaningful relationships, deep friendships, or creative collaboration, simply choose intent, and the platform adapts.

Required Skills

[Kubeflow, MLOps, MLflow, PyTorch, Python, Scikit-learn, TensorFlow, XGBoost]

Additional Information

Source recruiter: Kundan Kumar Source recruiter designation: Recruitment Consultant Company tagline: Reimagining love in the age of AI Employee count: 10 Company founded: 2025 Benefits: Market standard salary along with PF, Holiday, Health insurance Company tech stack: Machine Learning, Swift, iOS Website: https://www.meanttobe.ai/ LinkedIn: https://www.linkedin.com/company/meant-to-be-inc/about/ Instahyre score: NA Strong match: NA Accept outstation: true Company tagline: Reimagining love in the age of AI Logo: https://media.instahyre.com/images/profile/base/employer/51476/b4627a86b2/meant_to_be_inc_logo.webp

📌 Senior Machine Learning Engineer (Bawana)
🏢 HuntingCube
📍 Bawana