Artificial Intelligence Engineer

Exp- 4-10

Mode-Remote

Np-Immediate-Serving 15 days

Position Overview: We are seeking a highly skilled and motivated AI Engineer to join our growing team at Fulcrum Digital. As an AI Engineer, you will play a crucial role in developing and implementing AI solutions that drive business value for our clients. You will work on a variety of projects, collaborating with cross-functional teams to deliver innovative AI-driven applications.

Key Responsibilities:

1. Algorithm Development:

• Design, implement, and optimize machine learning algorithms to address business challenges.
• Work on data preprocessing, feature engineering, and model training/validation.

1. Model Deployment:

• Deploy machine learning models into production environments, ensuring scalability and reliability.
• Collaborate with DevOps teams for seamless integration of AI solutions into existing systems.

1. Data Analysis:

• Perform exploratory data analysis to uncover insights and patterns in large datasets.
• Work closely with data scientists to understand project requirements and goals.

1. Collaboration:

• Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions.
• Participate in code reviews and provide constructive feedback to enhance code quality.

1. Continuous Learning:

• Stay abreast of the latest developments in AI and machine learning technologies.
• Actively contribute to the company's knowledge base through sharing best practices and conducting internal training sessions.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience in developing and deploying machine learning models in real-world applications.
• Proficiency in programming languages such as Python, Java, or C++.
• Strong understanding of deep learning frameworks (e.g., TensorFlow, PyTorch) and traditional machine learning algorithms.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Excellent problem-solving and communication skills.
• Ability to work independently and collaboratively in a dynamic environment.

Preferred Skills:

• Familiarity with natural language processing (NLP) and computer vision.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Experience with version control systems (e.g., Git).