HCL Technologies
AI Engineer
Tysons, Virginia
Sponsorship not specified$100k-$155kDetected 23 days ago
PythonSQLNoSQLVector DatabasesAWSDockerRESTMachine LearningPyTorchscikit-learnPandasNumPyData EngineeringNLPLLMsRAGMLOpsAI OrchestrationCommunicationCollaborationProblem Solving
About the role
- Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.
- A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law.
- This role may also be eligible for performance-based bonuses subject to company policies.
Responsibilities
- Design, develop, and deploy AI/ML solutions using Python and modern AI frameworks.
- Implement NLP and Generative AI solutions utilizing state-of-the-art models and frameworks.
- Build LLM-powered applications using LangChain and LangGraph.
- Develop and integrate REST APIs and microservices for AI-driven applications.
- Collaborate with data scientists, architects, product teams, and business stakeholders to deliver AI solutions.
- Deploy and manage AI applications on AWS cloud platforms.
- Monitor, troubleshoot, and optimize model performance in production environments.
Requirements
- 6+ years of experience in Python development and AI/ML application development.
- Strong proficiency in Python programming.
- Strong understanding of Natural Language Processing (NLP) and Generative AI technologies.
- Hands-on experience with LangChain and LangGraph.
- Strong knowledge of SQL and NoSQL databases.
- Experience deploying and managing solutions on AWS cloud platforms.
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
Nice to have
- Experience working with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures.
- Knowledge of MLOps and model deployment best practices.
- Experience with containerization technologies such as Docker and Kubernetes.
- Familiarity with vector databases and AI orchestration frameworks.
- Experience integrating enterprise applications with AI-driven solutions.
- Experience working with: NumPy, Pandas, Scikit-learn, PyTorch
Compensation
- $100k-$155k
Benefits
- Equivalent practical experience in AI, Machine Learning, or Software Engineering will also be considered.
- Build scalable and efficient machine learning models to address business challenges.
- Develop and optimize data pipelines for AI and machine learning applications.
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