Senior AI Engineer

Job Summary

We are looking for a highly skilled and experienced Senior AI engineer to join our team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and data science, as well as experience with programming languages such as Python, Java, C++, or Scala. This role requires a deep understanding of statistical analysis and modeling techniques, as well as proficiency in implementing various algorithms like linear regression, logistic regression, decision trees, clustering algorithms etc.The successful candidate will be responsible for designing and developing intelligent systems that can analyze large amounts of data, identify patterns, make predictions, and provide insights that help drive business decisions. They should also have a solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. In addition, they should possess excellent communication skills to effectively convey technical information to both technical and non-technical stakeholders.

Responsibilities

• Developing and deploying AI models and algorithms to solve complex problems
• Implementing various ML algorithms like Linear Regression, Logistic Regression, Decision Trees, Clustering Algorithms etc.
• Collaborating with cross-functional teams to integrate AI solutions into existing systems
• Staying up-to-date with emerging trends and advancements in AI technology
• Conducting research and experimentation to improve AI capabilities
• Providing guidance and support to junior AI engineers
• Ensuring the ethical use of AI technologies
• Presenting findings and results to stakeholders
  

Qualifications

• Bachelor’s degree in Computer Science, Engineering (any), Statistics, Mathematics, Physics or related field; Master’s preferred
• Strong knowledge of Artificial Intelligence concepts and frameworks
• Proficient in at least one high-level programming language (Python, Java, C++, Scala)
• Experience with data manipulation languages (SQL and NoSQL)
• Knowledge of data visualization tools (e.g., Tableau, Power BI)
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Understanding of DevOps principles and practices
• Ability to communicate complex ideas clearly and concisely
• Excellent problem-solving and analytical skills
• Detail oriented and organized
• Comfortable working in a dynamic environment
• Ability to work independently and as part of a team