Artificial Intelligence Senior Associate

Job Summary

We are seeking a highly motivated and skilled Artificial Intelligence Senior Associate to join our growing team in India. This role is ideal for a candidate with a strong foundation in data science and a passion for leveraging AI/ML to solve complex business challenges within the Technology industry.

Key Responsibilities

The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, implementation, and maintenance of AI/ML solutions. This includes collaborating with cross-functional teams to identify opportunities for AI/ML applications, designing and building AI/ML models, and ensuring the scalability and reliability of these models in a production environment. The role requires a proactive approach to problem-solving and a commitment to continuous improvement.

Required Skills & Qualifications

• AI/ML: A deep understanding of artificial intelligence and machine learning principles, including various algorithms and techniques for model building, training, and evaluation.
• Python: Proficiency in Python programming language for data manipulation, statistical analysis, and AI/ML model development.
• Google Cloud Platform (GCP): Experience with GCP services, including Big Query, Dataproc, Data Fusion, and Cloud SQL, for data storage, processing, and analysis.
• Data/Analytics: Strong analytical skills with the ability to extract meaningful insights from large datasets and communicate findings effectively.
• Automation: Experience in automating data processing and AI/ML workflows to improve efficiency and reduce errors.
• Business Analysis: Ability to understand business requirements and translate them into technical specifications for AI/ML solutions.
• Business Transformation: A grasp of how AI/ML can be leveraged to drive business transformation and create competitive advantage.
• CI/CD: Familiarity with continuous integration and continuous delivery (CI/CD) practices for deploying and managing AI/ML models.
• ETL: Experience with extract, transform, load (ETL) processes for data integration and preparation.
• Jira: Proficiency in using Jira for project management and issue tracking.
• Data Flow: Understanding of data flow principles and techniques for designing efficient data pipelines.
• TERRAFORM: Experience with TERRAFORM for infrastructure as code.
• Tekton: Knowledge of Tekton for container-native CI/CD.
• AIRFLOW: Experience with AIRFLOW for orchestrating complex data workflows.
• Airflow PySpark: Ability to utilize Airflow with PySpark for large-scale data processing.
• POSTGRES: Familiarity with POSTGRES database.
• API: Understanding of API design and integration.
• GCP: Comprehensive knowledge of GCP ecosystem.
• Financial Reporting: Ability to apply AI/ML techniques to financial data and generate insightful reports.
• Leadership: Demonstrated leadership potential with the ability to guide and mentor junior team members.
• Strategic Communication: Excellent communication skills with the ability to present complex technical concepts to both technical and non-technical audiences.
• Communication Skills: Strong written and verbal communication skills.
• Analytical Skills: Exceptional analytical and problem-solving skills.
• Problem-Solving Skills: Ability to identify, analyze, and solve complex problems effectively.
• GitHub: Proficiency in using GitHub for version control and collaboration.

Qualifications: A Bachelor's Degree and a Master's Degree are required.

Experience Required: We are seeking candidates with 3-9 years of relevant experience in data science or a related field. This level of experience indicates a strong foundation in AI/ML principles and a proven ability to deliver impactful results.

What We Offer

Salary: