Job Title: Machine Learning EngineerLocation: Dallas, TXCompany: LeoforceAbout Leoforce:Leoforce is the innovative company behind Ira, the AI-powered recruiting technology that revolutionizes talent discovery and engagement. Ira combines advanced AI and Talent Intelligence to help recruiters find highly compatible candidates, reducing time-to-hire and ensuring success for every role.At Leoforce, we are passionate about empowering recruiters and job seekers with responsible AI that delivers unbiased, data-driven results. We believe in fostering a workplace built on respect, integrity, and the freedom to innovate.Why Join Us?- Career Growth: Opportunities for professional and personal advancement in a rapidly evolving industry.- Cutting-Edge Technology: Be part of a team working on revolutionary AI solutions that redefine talent acquisition.- Collaborative Environment: A culture that values diversity, creativity, and high performance.- Employee Empowerment: Freedom to innovate and make a difference while being supported by a team that values respect and integrity.Position Overview:We are seeking a talented and motivated Machine Learning Engineer to join our dynamic team in Dallas, TX. The ideal candidate will have a strong background in machine learning, data science, and software engineering, with a passion for building scalable AI-driven solutions.Key Responsibilities:- Design, develop, and deploy machine learning models for real-world applications in talent intelligence and recruiting technology.- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.- Analyze large datasets to extract actionable insights and improve model performance.- Implement, test, and optimize algorithms for scalability and efficiency.- Stay up-to-date with the latest advancements in AI/ML and apply best practices to ongoing projects.- Document processes, models, and code for maintainability and knowledge sharing.Required Qualifications:- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.- 2+ years of experience in machine learning, data science, or a related discipline.- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Scikit-learn.- Experience with data preprocessing, feature engineering, and model evaluation techniques.- Solid understanding of statistics, probability, and algorithms.- Familiarity with cloud platforms (AWS, Azure, or GCP) and version control (Git).- Strong problem-solving skills and attention to detail.- Excellent communication and teamwork abilities.Preferred Qualifications:- Experience with NLP, deep learning, or recommender systems.- Exposure to MLOps tools and practices.- Prior experience in HR tech or recruiting technology is a plus.Benefits:- Competitive salary and performance-based bonuses.- Equity or stock options.- Comprehensive health, dental, and vision insurance.- 401(k) retirement plan with company match.- Generous paid time off and flexible work arrangements.- Professional development and learning opportunities.