Senior Artificial Intelligence Engineer

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Who are we

Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries, including banking & financial services, insurance, retail, higher education, food, healthcare, and manufacturing.

Job Description:

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.

2. 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.

3. 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.

4. 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.

5. 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).