Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
Responsibilities:
- Oversee the development, implementation, and optimization of machine learning models and algorithms for various GenAI projects
- Direct the data preparation process, including data cleaning, preprocessing, and feature engineering, to ensure data quality and readiness for analysis
- Collaborate with data engineers and software developers to streamline data processing and integration into machine learning pipelines
- Evaluate model performance rigorously using advanced metrics and testing methodologies to ensure robustness and effectiveness
- RAG (Retrieval Augmented Generation)(Semantic Kernel, Langchain, LLamaIndex, Cohere )
- Spearhead the deployment of production-ready machine learning applications, ensuring scalability and reliability
- Spearhead the deployment of production-ready machine learning applications, ensuring scalability and reliability
- distributed model training experience
- Design and implement innovative data-driven solutions such as chatbots using the latest GenAI technologies,
- Model fine -tuning experience
- Exposure to various LLM technologies and solid understanding of Transformer Encoder Networks.
- Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence.
- Communicate complex data insights and recommendations to senior stakeholders through compelling visualizations, reports, and presentations
- Lead the adoption of cutting-edge GenAI technologies and methodologies to continuously improve data science practices.
- Champion knowledge sharing and skill development within the team to foster an environment of continuous learning and innovation.
Qualifications:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
- 4-10 years of relevant experience in data science, with significant expertise in GenAI projects.
- Advanced programming skills in Python, R, or Scala, and proficiency in machine learning libraries like TensorFlow, PyTorch, or scikit-learn.
- Extensive experience in data preprocessing, feature engineering, and statistical analysis.
- Demonstrated leadership in managing data science teams and projects.
- Exceptional problem-solving, analytical, and project management skills.
- Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud, and data visualization techniques.
Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
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Top Skills
What We Do
Orion is a leading digital transformation and product development services firm. Headquartered in Edison, NJ, we have a global team of 6,200+ associates, with engineers in 14 major delivery centers across North America, Europe, Asia Pacific and Latin America.
For over 25 years, Orion has been solving complex business problems for our clients. Our transformative business solutions are rooted in digital strategy, experience design, and engineering, empowering our clients to operate with agility at scale.
Our mission is to serve as an agile and trusted partner for business transformation initiatives, providing deep emerging technology, experience design, and domain expertise.
Our business has more than tripled over the last three years.
We have grown aggressively both organically and inorganically, adding new clients, complementary skills, domain expertise, and strengthening our global footprint.
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