AIML Engineer 1
Job Location:
San Jose, CA - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. This Client is an American multinational semiconductor company based in Austin that develops computer processors and related technologies for business and consumer markets. Global company that specializes in manufacturing semiconductor devices used in computer processing. The company also produces flash memories graphics processors motherboard chip sets and a variety of components used in consumer electronics goods.
We are seeking a motivated Cybersecurity Data Science Intern with a strong foundation in data science machine learning and a demonstrated interest in cybersecurity. This role bridges the gap between advanced data-driven techniques and practical security operations. You will work alongside experienced cybersecurity professionals to analyze security telemetry develop models for threat detection and apply modern data science methods to real-world security problems.
Duration: 3 Months
Location: San Jose CA
Work Type: Onsite/Hybrid
Responsibilities
Support the development of data-driven models to improve detection of threats anomalies and insider risks.
Apply machine learning techniques such as gradient descent logistic regression clustering and neural networks to cybersecurity use cases.
Perform exploratory data analysis (EDA) on diverse security datasets (endpoint network cloud identity vulnerability).
Collaborate with the security operations and threat intelligence teams to design metrics features and models that enhance detection and response.
Contribute to automation workflows anomaly scoring models and visualization dashboards for SOC analysts.
Research and experiment with AI/ML techniques (e.g. embeddings NLP anomaly detection) to extract actionable insights from large volumes of security data.
Present findings and proof-of-concept results to both technical and non-technical stakeholders.
Required Qualifications
Currently pursuing a degree (Bachelors Masters or PhD) in Data Science Computer Science Cybersecurity Applied Math or related field.
Strong understanding of machine learning fundamentals (gradient descent optimization supervised/unsupervised learning).
Experience with Python and data science libraries (NumPy Pandas scikit-learn PyTorch or TensorFlow).
Basic knowledge of cybersecurity concepts such as threats vulnerabilities intrusion detection and MITRE ATT&CK.
Ability to analyze large datasets and communicate findings clearly.
TekWissen Group is an equal opportunity employer supporting workforce diversity.
