Data Science Specialist
1 month ago
We are seeking a highly skilled AI/Machine Learning Engineer to join our team at TEKsystems. As a key member of our team, you will be responsible for designing, developing, and deploying AI and machine learning models to drive business growth and innovation.
Key Responsibilities- Solve complex problems in natural language processing, machine learning, and information retrieval
- Research, build, and deploy models based on shallow and deep machine learning techniques
- Apply machine learning techniques to improve search algorithms and drive best practices for NLP/Machine Learning pipelines
- Maintain current knowledge base of state-of-the-art ML algorithms and be able to quickly evaluate alternatives
- Translate complex business requirements into actionable stories with reasonable time estimates
- 7+ years of professional experience in MLOps or AI engineering
- Proven expertise in deploying machine learning models on GPUs
- Strong knowledge of NLP techniques and model fine-tuning
- Proficiency in Python with strong database management skills
- Hands-on experience with AWS SageMaker and EKS
- Experience in designing and implementing CI/CD pipelines
- Familiarity with Retrieval-Augmented Generation (RAG) techniques
- Previous experience in a senior or lead engineer role
- 5+ years of experience in AI and machine learning
- Deep understanding of machine learning algorithms, classification models, diagnostic testing of models
- Experience working directly with large language models and fine-tuning
- Experience with conversational search / semantic search, reinforcement learning, prompt engineering, hallucination mitigation
We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. We are an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
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