Data Science(AI/ML)

Job Summary
We are seeking a dynamic and innovative Data Science (AI/ML) Specialist to drive cutting-edge analytics and artificial intelligence initiatives. In this role, you will harness the power of machine learning, statistical modeling, and big data systems to develop scalable AI solutions that solve complex business challenges. Your expertise will enable data-driven decision-making, enhance predictive capabilities, and foster the deployment of intelligent systems across various platforms. Join us to shape the future of data analytics and AI implementation within a fast-paced, collaborative environment committed to technological excellence.

Responsibilities

• Design, develop, and optimize machine learning models using frameworks such as TensorFlow and other AI/ML tools to deliver impactful insights and solutions.
• Implement scalable data pipelines utilizing ETL processes, Hadoop, Spark, Talend, and SQL databases to ensure efficient data flow and storage.
• Conduct statistical analysis for research purposes, applying statistical modeling techniques with R, SAS, or similar tools to support strategic initiatives.
• Develop natural language processing (NLP) applications and explore generative AI models to enhance language understanding capabilities.
• Collaborate with cross-functional teams to deploy AI models into production environments using cloud services like AWS and machine learning cloud platforms.
• Perform model evaluation, tuning, and validation to ensure accuracy, robustness, and scalability of AI/ML solutions.
• Engage in data mining activities using big data systems such as Hadoop and Spark implementation for extracting actionable insights from large datasets.
• Contribute to database design efforts for optimized data storage and retrieval supporting advanced analytics projects.
• Utilize statistical analysis tools like R or SAS for rigorous research analysis, ensuring high-quality outputs aligned with business objectives.
• Support model deployment processes and monitor AI/ML system performance to maintain operational excellence across platforms.

Qualifications

• Proven experience with machine learning frameworks including TensorFlow, Spark MLlib, or similar tools.
• Strong proficiency in programming languages such as Python, Java, C, VBA, Bash (Unix shell), with experience in SQL for database querying and management.
• Hands-on knowledge of big data technologies including Hadoop ecosystem components and Spark implementation for large-scale data processing.
• Familiarity with cloud-based machine learning services on AWS or other cloud platforms for scalable AI solutions.
• Expertise in statistical analysis tools like R or SAS for research-driven insights and model validation.
• Experience in natural language processing (NLP), predictive modeling analysis, and generative AI techniques.
• Ability to design efficient database schemas and perform data mining on large datasets using SQL databases and linked data concepts.
• Strong understanding of AI implementation strategies including model training, evaluation, deployment, and continuous monitoring for scalability.
• Knowledge of data analytics tools such as Looker or similar BI platforms is a plus.
• Excellent problem-solving skills combined with the ability to communicate complex technical concepts clearly across teams.

Join us if you’re passionate about leveraging advanced analytics and AI/ML technologies to transform data into strategic assets!

Pay: $27.50 - $33.12 per hour

Benefits:

• 401(k)

Work Location: In person

Salary : $28 - $33