AI/ Machine Learning Engineer

Currently, we are looking for talented resources for one of our listed clients. If interested please reply to me with your updated resume or feel free to reach out to me for more details at



On-Site role



Job Description:

• An AI Engineer is responsible for developing, implementing, and maintaining artificial intelligence systems and applications.
• The role typically involves working with machine learning algorithms, neural networks, and other AI technologies to solve complex problems and create innovative solutions.
• Below is a general job description for an AI Engineer, which may vary depending on the specific needs and focus of the organization:

Job Summary:

• The AI Engineer will design, develop, and deploy AI models and systems that enhance business operations and drive innovation.
• This role requires a strong foundation in machine learning, data analysis, and software development, along with the ability to collaborate with cross-functional teams to integrate AI solutions into existing processes.

Key Responsibilities:

• Develop AI Models: Design and implement machine learning models and algorithms to address business challenges and improve operations.
• Data Analysis: Analyze large datasets to extract meaningful insights and patterns that inform AI model development.
• Model Training and Evaluation: Train, test, and validate AI models to ensure accuracy, efficiency, and scalability.
• Deployment and Integration: Deploy AI models into production environments and integrate them with existing systems and applications.
• Research and Innovation: Stay updated with the latest advancements in AI and machine learning technologies and apply them to enhance current projects.
• Collaborate with Teams: Work closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver AI solutions that meet organizational goals.
• Performance Monitoring: Monitor the performance of AI models and systems, making adjustments as necessary to optimize outcomes.
• Documentation: Maintain comprehensive documentation of AI models, algorithms, and processes to ensure knowledge sharing and continuity.

Qualifications:

• Education: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
• Experience: Proven experience in AI, machine learning, or data science roles, with a track record of successful AI model development and deployment.

Technical Skills:

• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of data structures, algorithms, and statistical methods.
• Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) is a plus.

Soft Skills:

• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.
• Ability to work independently and manage multiple projects simultaneously.

Preferred Qualifications:

• Experience with natural language processing (NLP) and computer vision.
• Knowledge of big data technologies and tools (e.g., Hadoop, Spark).
• Understanding of software development lifecycle and agile methodologies.

About us:

At our organization, we take our mission and values to heart! We are on a mission to offer more and better jobs all over the world! Our goal is to care for you while you care for our clients and get you paid the highest pay possible. All our associates working with us are expected to embrace our RACE values: R - Results Matter, A- Approachable, C - Care, and E - Emergency i.e. work with a sense of urgency.



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