Job Title : Machine Learning Data Analyst
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Job Description
• 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 correct 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
• 1-2 years of work experience with MLOps lifecycle management, workflow platforms such as MLflow, Docker and containerization, Kubernetes and container orchestration platforms, Python, Pyspark or Scala development, Azure, AWS, Google Cloud or other cloud computing platforms
• 1-2 years of work experience with Databricks, Snowflake, Redshift or other cloud database management platforms
Role & Responsibilities
• Work in a collaborative environment with global teams to drive client engagements in a broad range of industries to design and build scalable AI and Machine Learning solutions, to solve business problems, and to create value by leveraging client data
• Clean, preprocess, and transform raw data into a suitable format for machine learning models. This may involve tasks like data normalization, feature engineering, and handling missing values.
• Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
Assist in the design, development, and implementation of machine learning algorithms and models to solve specific business problems or improve existing processes.
Support client and internal team members by contributing to coding, testing, and debugging tasks.
• Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. This may involve parallelization, distributed computing, and resource management.
• Collaborate with data scientists, software engineers, domain experts, and client stakeholders to understand requirements, gather feedback, and integrate machine learning solutions into larger systems or products.
• Stay updated on the latest advancements in machine learning, MLOps, and related fields, and apply new techniques and technologies to improve existing models or develop innovative solutions.
• Required Skills
• 1 -2 years industry 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 modelling 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
In a world where change happens in a split second, our clients must master the art of balancing business transformation with operational excellence and cost reduction to protect their market leadership and safeguard their workforce.
They need the best and brightest talent to limit business disruption and foster future growth, all while striving to realize a new normal.
In this context, it’s our people within Insights & Data that are the core enablers to support our clients in their growth journeys.
To give our clients our best and brightest, we pride ourselves on being a fast-paced, fun, ethical place to work, where the work hard, play hard mentality holds true.
Even more important is our clear commitment to creating a diverse workforce in all areas. In fact, for the ninth time in a row, Capgemini has been recognized as one of the World’s Most Ethical Companies by the Ethisphere Institute.
In addition, we’ve been recognized as a top company for women by Working Mother Media.
Capgemini’s Insights & Data Americas practice is comprised of professionals with data, analytics, and AI expertise, covering the f
Location: Dallas, TX
Posted: Aug. 9, 2024, 8:29 p.m.
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