Sr. AI Engineer

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