Senior/Lead Gen AI/ML Engineer

Wissen Technology; Alpharetta (GA); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Healthcare insurance (medical, dental, vision)

Short / Long term disability insurance

Life insurance

Accidental death & disability insurance

401K

3 weeks of paid time off

Support and fee coverage for immigration needs

Remote office set-up stipend

Support for industry certifications

Additional cash incentives

Re-skilling opportunities to transition between technologies

Job summary

A leading technology firm is seeking a skilled AI/ML Engineer to develop, deploy, and scale innovative machine learning solutions. The ideal candidate will have over 5 years of experience in model development and integration, with responsibilities that include building and deploying machine learning models, integrating them through APIs, and guiding AI strategy. This full-time role is hybrid, allowing for 3 days onsite work per week, and offers extensive benefits like healthcare, paid time off, and support for certifications.

Qualifications

• 5+ years of hands-on experience in model development and integration.
• Expertise in designing scalable ML systems and advanced statistical modelling.

Responsibilities

• Build, train, and deploy machine learning models for various business use cases.
• Integrate ML models into applications through REST APIs.
• Work with cross-functional teams to understand data, model requirements, and deployment constraints.
• Develop and optimise ML pipelines for performance, scalability, and reliability.
• Implement best practices for model monitoring, retraining, and lifecycle management.
• Design scalable ML systems and end-to-end machine learning architectures.
• Apply advanced statistical modelling and algorithmic techniques.
• Provide leadership in AI strategy, solution design, and technology direction.
• Drive adoption of cutting-edge AI frameworks, including Transformers and LLMs.
• Mentor junior team members and guide technical decision-making.

Skills

Designing scalable ML systems

Advanced statistical modelling

Experience with NLP and deep learning techniques

Knowledge of cloud ML platforms

Leadership in AI strategy

Experience with cutting-edge AI frameworks

Job description

Job Title: AVP/VP

Mode of Work: 3 days/week onsite required

Required Experience: 5+ years

We are seeking a highly skilled AI/ML Engineer to develop, deploy, and scale machine learning solutions. The ideal candidate will have hands‑on experience in model development and integration, with senior candidates expected to drive architecture, advanced modeling, and AI strategy.

Key Responsibilities:

• Build, train, and deploy machine learning models for various business use cases.
• Integrate ML models into applications through REST APIs.
• Work with cross‑functional teams to understand data, model requirements, and deployment constraints.
• Develop and optimise ML pipelines for performance, scalability, and reliability.
• Implement best practices for model monitoring, retraining, and lifecycle management.
• Design scalable ML systems and end‑to‑end machine learning architectures.
• Apply advanced statistical modelling and algorithmic techniques.
• Provide leadership in AI strategy, solution design, and technology direction.
• Drive adoption of cutting‑edge AI frameworks, including Transformers and LLMs.
• Mentor junior team members and guide technical decision‑making.

Mandatory Skills:

• Designing scalable ML systems (expert level)
• Advanced statistical modelling (expert level)

Preferred Skills:

• Experience with NLP and deep learning techniques
• Knowledge of cloud ML platforms (AWS SageMaker, Azure AI, GCP Vertex AI)
• Leadership in AI strategy (expert level)
• Experience with cutting‑edge AI frameworks such as Transformers, LLMs, Diffusion Models
• Healthcare insurance (medical, dental, vision)
• Short / Long term disability insurance
• Life insurance
• Accidental death & disability insurance
• 401K
• 3 weeks of paid time off
• Support and fee coverage for immigration needs
• Remote office set‑up stipend
• Support for industry certifications
• Additional cash incentives
• Re‑skilling opportunities to transition between technologies

Schedule:

Monday to Friday

Work Mode:

Hybrid

Job Type:

Full‑time