Software Engineer – Data

Job Title

ML Engineer

Dallas, TX – Onsite, 4 days a week

Our client, headquartered in Dallas, TX, is a technology and strategy consultancy that provides a competitive edge to its clients by solving complex problems with data, software, and strategy. The firm specializes in technology strategy, product development, software engineering, and digital transformation, with a particular emphasis on AI, MLOps, and Data Engineering. Clientele spans various industries including AgTech, Healthcare, Logistics, and Financial Services.

Python, Azure, Tensor Flow, Scikit-learn, Java, Scala, AWS, and Azure.

US $120,000 – 145,000

• Adhere to the company’s core expectations of being coachable, having a positive attitude, and remaining reliable.
• Develop, implement, and optimize machine learning models to address client needs.
• Organize tasks and teams to drive technical product management in AI/ML projects.
• Collaborate closely with clients in project teams to solve their toughest AI/ML challenges.
• Utilize principles of agile development to achieve high-quality solutions delivery.
• Continuously learn new AI/ML technologies to solve emerging problems.
• Build professional communication and business skills.

• 2–6 years of professional software development experience, with at least 1 year in building and deploying machine learning models.
• Experience with model serialization and optimization.
• Experience with cloud-based AI/ML services on platforms such as Microsoft Azure, AWS, or Google Cloud.
• Proficiency in Python; experience with C# or .Net is a plus.
• Strong knowledge of AI/ML frameworks such as Tensor Flow, PyTorch, and libraries such as scikit-learn and pandas.
• Experience across the ML lifecycle: from data preparation and training to model optimization and integration with production systems.
• Experience leading AI/ML development processes, including planning, development, code reviews, pair programming, and testing.
• Familiarity with version control, CI/CD tools, and cloud storage systems.
• Excitement to work in a team environment and ability to communicate AI/ML concepts effectively.
• Experience in consulting or client-facing roles, or relevant transferable experience.
• An owner’s mindset approach to your AI/ML craft.

A background check is required to protect our company/client and its stakeholders by ensuring that we hire individuals with a trustworthy history, which helps maintain a safe and secure workplace.

• Medical & Dental benefits
• 401(k)
• PTO