AI​/ML Engineer

An AI/ML Engineer designs and leads the development of artificial intelligence and machine learning solutions that align with business objectives. This role involves creating scalable AI/ML architectures, selecting appropriate algorithms and technologies, and guiding data science and engineering teams to deliver impactful AI-driven products.

• Design end-to-end AI and machine learning system architectures, including data pipelines, model development, deployment, and monitoring.
• Collaborate with business stakeholders to understand requirements and translate them into technical AI/ML solutions.
• Evaluate and select appropriate AI/ML frameworks, tools, and platforms.
• Define best practices and standards for AI/ML model development, testing, and deployment.
• Lead and mentor data scientists, ML engineers, and software developers in implementing AI solutions.
• Ensure AI/ML systems are scalable, secure, and maintainable.
• Oversee integration of AI/ML models with existing IT infrastructure and applications.
• Monitor model performance and implement strategies for continuous improvement and retraining. Stay updated on the latest AI/ML research, tools, and industry trends to drive innovation.
• Manage technical risks and troubleshoot complex AI/ML system issues.

• Proven experience as an AI/ML Architect, Data Scientist, or Machine Learning Engineer.
• Strong expertise in machine learning algorithms, deep learning, natural language processing, and computer vision. Proficiency with AI/ML frameworks and libraries such as Tensor Flow, PyTorch, Scikit-learn, or similar.
• Experience with cloud AI/ML services (AWS Sage Maker, Google AI Platform, Azure ML).
• Knowledge of data engineering, big data technologies, and data pipeline design.
• Strong programming skills in Python, R, or Java.
• Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML workflows.

• Strong knowledge of machine learning algorithms
• Proven experience with deep learning
• Expertise in Natural Language Processing (NLP)

• Tensor Flow
• Py Torch
• Scikit-learn
• Other modern ML libraries as needed

• Experience with at least one major cloud ecosystem: AWS Sage Maker, Google AI Platform, Azure ML (important if your company is MS-driven)

• Strong coding background in:
  Python (must-have)
• R or Java (secondary but required in the JD)

• Mandatory understanding of data workflows:
  Data pipeline design & orchestration
• Big data technologies (e.g., Spark, Hadoop, Kafka)
• Data preprocessing and feature engineering at scale

• Clear ability to architect:
  Scalable AI/ML systems
• Model deployment pipelines
• Real-time or batch inference systems
• Integration with existing enterprise infrastructure

“Disclaimer: E-Solutions Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply.

EEO/AA/M/F/Vet/Disability.”