Job Title: Machine Learning Data Analyst
Job Location: Dallas TX
Job Description:
We are looking to hire a Machine Learning Engineer to expand our team. Some of the responsibilities are as follows:
Job Responsibilities
- Developing and maintaining CI/CD pipelines for ML models and data.
- Collaborating with data scientists and engineers to understand their needs and help them develop, test, and deploy ML models, detect and accurate model drift in the data, enable pre-production testing, and ingest large volumes of structured and unstructured data for modeling.
- Optimizing the performance of ML models in a production environment.
- Ensuring security and compliance of ML systems.
- Working in a collaborative environment with global teams to drive client engagements in a broad range of industries to craft and build scalable AI and Machine Learning solutions, to tackle business problems, and to bring value by demonstrating client data.
- Cleaning, preprocessing, and transforming raw data into a suitable format for machine learning models. This may involve tasks like data normalization, feature engineering, and handling missing values.
- Assisting in the design, development, and implementation of machine learning algorithms and models to tackle specific business problems or improve existing processes. Supporting client and internal team members by contributing to coding, testing, and debugging tasks.
- Optimizing machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. This may involve parallelization, distributed computing, and resource management.
- Staying updated on the latest advancements in machine learning, MLOps, and related fields, and applying new techniques and technologies to improve existing models or develop innovative solutions.
Required Skills
- 1-2 years proven experience, with work in a quant or data scientist field preferred.
- Master’s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field.
- Experience with one or two of the following: MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling, and graph theory and databases.
- Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
- Experience working with big data distributed programming languages and ecosystems such as Spark, Hadoop, MapReduce, Pig, Kafka.
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 balanced world, while crafting 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 motivated 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 | www.capgemini.com
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.
This is a general description of the Duties, Responsibilities, and Qualifications required for this position. Physical, mental, sensory, or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever vital to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Click the following link for more information on your rights as an Applicant: Equal Employment Opportunity is the Law.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
Job: Programmer/Analyst
Schedule: Full-time
Primary Location: US-TX-Dallas
Organization: I&D
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