Job Title: AI/ML Engineer
Location: Overall USA (Onsite/Hybrid)
Duration: Long-term (2 years)
Contract Type: W2 (Only)
Experience: At least 7 – 14 years
Visa: Open to any visa type, No H1B,CPT
Job Description:
We are seeking a highly skilled AI/ML Engineer with expertise in cybersecurity and security analysis to join our client’s team. This position focuses on manipulating data to enhance security applications and involves a hands-on engineering role in AI/ML, including integrating Generative AI solutions and other advanced machine learning models with business applications. If you have expertise in cloud technologies, AI/ML, and security analysis, we encourage you to apply!
Key Responsibilities:
-
Design and build machine learning models and AI workforce to support cybersecurity efforts.
-
Work with both structured (relational) and unstructured (NoSQL, data lakes) data to support various security applications.
-
Normalize databases and ensure they are accessible in machine-readable formats.
-
Combine raw information from different sources to create consistent datasets for analysis.
-
Support company requirements by building datasets that are easy to analyze.
-
Work on integrating GenAI solutions with other business systems.
-
Design and develop scalable solutions in AWS environments.
-
Collaborate across teams for application integration, monitoring, and evaluation.
Must Have:
-
10+ years of hands-on experience in AI/ML
-
3-4 years of experience in security analysis and cybersecurity.
-
Deep knowledge of SQL and data modeling, as well as tools like Spark, Hive, and Airflow.
-
Strong experience in Machine Learning (ML), Generative AI, and AWS technologies (Lambda, S3, DynamoDB, EKS, etc.).
-
Experience with cloud architecture and cloud services.
-
Expertise in AI/ML tools such as PyTorch, TensorFlow, and experience with Retrieval-Augmented Generation (RAG).
-
Knowledge of relational databases (RDS) such as Postgres or MySQL.
-
Experience working in cybersecurity roles, particularly related to AI/ML-driven security analysis.
Education & Work Experience:
-
Bachelor's degree in Computer Science, Information Systems, or a related field (Required).
-
Post-graduate degree preferred.
-
Professional certifications in AI/ML, Cloud technologies, or related fields are a plus.
-
Experience in AI/ML and cloud technologies.
Additional Information:
-
LinkedIn Profile: Must have a clear, professional LinkedIn profile.
-
Relocation: Open to candidates willing to relocate.
-
Communication: Excellent communication skills are a must.
If you meet the above qualifications and are passionate about working at the intersection of AI, ML, and cybersecurity, we would love to hear from you!
Regards,
Rasheed Abdul | BDM (Recruitment Manager)
Email: rasheed@velovoxinfotech.com