Machine Learning Engineer

Job Title\: Senior Machine Learning Engineer

Job Location: Hybrid (preferred base cities - Atlanta, NYC, Dallas, Houston, Chicago, San Fran, and Seattle)

Job Description: As a Senior Machine Learning Engineer, you will lead the development and implementation of sophisticated data engineering solutions to support the deployment and optimization of AI models. Your role will involve demonstrating extensive experience to design robust, scalable, and innovative data architectures that align with the unique requirements of Artificial Intelligence applications.

Key Responsibilities\:

The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production AI systems.

Build and maintain data engineering solutions on cloud platforms using hyperscaler services (GPC, AWS, Azure).

Design, develop, and maintain data pipelines to efficiently collect, process, and load data from various sources into data storage systems (e.g., data warehouses, data lakes).

Develop and maintain data models and schema designs to support efficient data storage and retrieval.

Use hyperscaler technologies to support data needs for expansion of Machine Learning/Data Science capabilities including generative AI.

Implement data validation and data cleansing processes to ensure data quality and consistency.

Design, develop, and implement scalable data pipelines and ETL/ELT processes using Python, PySpark and API integrations.

Monitor ETL jobs, troubleshoot issues, and ensure data processing efficiency.

Administer and optimize databases, ensuring performance, scalability, and data security.

Collaborate with multi-functional teams to understand data requirements and integrate data into various applications and analytics platforms.

Collaborate with data scientists and analysts to understand data requirements and translate them into scalable, high performant data pipeline solutions.

Ensure compliance with data privacy and security regulations.

Optimize data systems for scalability and performance, anticipating and addressing potential bottlenecks.

Document changes, versioning, and standard processes

Strong communication skills and the ability to work effectively in a collaborative environment.

Excellent problem-solving and troubleshooting abilities, along with a strong analytical mentality and persistence in resolving problems.

Stay updated on emerging data engineering technologies and best practices.

Required Skills:

Bachelor's degree in computer science, data engineering, or a related field with 5+ years experience (Master's preferred).

Proven experience in data engineering, ETL, and database management.

Proficiency in SQL and data manipulation languages.

Proven experience deploying solutions in Azure

Strong programming skills, with knowledge of languages like Python, Java, or Scala.

Strong understanding of fundamental data science concepts in NLP, including selection and understanding of embedding models.

Experience with data warehousing platforms (e.g., Amazon Redshift, Snowflake) and big data technologies (e.g., Hadoop, Spark).

Experience with database technologies for structured and unstructured data both for storage and optimal retrieval

Experience with highly scalable Data stores, Data Lake, Data Warehouse, Lakehouse, and unstructured datasets

Familiarity with data modeling and schema design.

Knowledge of data integration tools and data orchestration.

Excellent problem-solving and troubleshooting skills.

Strong communication and collaboration abilities.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer\:

Flexible work

Healthcare including dental, vision, mental health, and well-being programs

Financial well-being programs such as 401(k) and Employee Share Ownership Plan

Paid time off and paid holidays

Paid parental leave

Family building benefits like adoption assistance, surrogacy, and cryopreservation

Social well-being benefits like subsidized back-up child/elder care and tutoring

Mentoring, coaching and learning programs

Employee Resource Groups

Disaster Relief

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get The Future You Want

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

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