Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI and technology expertise to deliver valuable customer experiences and accelerated growth across various industries.
Requirements
- Proven experience in the architecture, design, and implementation of large scale and enterprise grade AI/ML solutions
- 5+ years of hands-on statistical modeling and/or analytical experience in and industry or consulting setting
- Master’s degree in statistics, mathematics, computer science or related field (a PhD is preferred)
- Experience with a variety of ML and AI techniques (e.g. multivariate/logistic regression models, cluster analysis, predictive modeling, neural networks, deep learning, pricing models, decision trees, ensemble methods, etc.)
- Proficiency in programming languages such as Python, TensorFlow, PyTorch, or Hugging Face Transformers for model development and experimentation
- Strong understanding of NLP fundamentals, including tokenization, word embeddings, language modeling, sequence labeling, and text generation
- Experience with data processing using LangChain, data embedding using LLMs, Vector databases and prompt engineering
- Advanced knowledge of relational and non-relational databases (SQL, NoSQL)
- Proficient in large-scale distributed systems (Hadoop, Spark, etc.)
- Experience with designing and presenting compelling insights using visualization tools (RShiny, R, Python, Tableau, Power BI, D3.js, etc.)
- Passion for leading teams and providing both formal and informal mentorship
- Experience with wrangling, exploring, transforming, and analyzing datasets of varying size and complexity
- Knowledgeable of tools and processes to monitor model performance and data quality, including model tuning experience
- Strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level
- Stay current with AI/ML trends and research; be a thought leader in AI area
- Experience with implementing machine learning models in production environments through one or more cloud platforms:
- Basic Qualifications
- Thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success
- Contribute in a team-oriented environment
- Prioritize multiple tasks in order to consistently meet deadlines
- Creatively solve problems in an analytical environment
- Adapt to new environments, people, technologies and processes
- Excel in leadership, communication, and interpersonal skills
- Establish strong work relationships with clients and team members
- Generate ideas and understand different points of view
Benefits
- health, mental health, vision, dental, and life insurance
- prescriptions, fertility and adoption benefits
- community service days, paid parental leave, PTO, 14 paid holidays, matching 401(k), Healthcare & Dependent Flexible Spending Accounts, and disability benefits
