GEN AI and Machine Learning Engineer

Let Volt help move you forward

Volt is immediately hiring for GEN AI and Machine Learning Engineer in Remote

As a GEN AI and Machine Learning Engineer, you will:

Key responsibilities:

• Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions.
• Develop, implement, and deploy AI/ML solutions.
• Preprocess and analyze large datasets to identify patterns, trends, and insights.
• Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability.
• Deploy applications and AI/ML model into cloud environment such as AWS/Azure/Google Cloud Platform etc.
• Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed.
• Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.

This is Fulltime- 6 Months contract

Must have:

• Minimum 3+ years of experience required in Python, ML and GenAI.
• Bachelor's or master s degree in Computer Science, Data Science, Engineering, or a related field.
• Experience on Agentic AI/ Frameworks
• Strong programming skills in languages such as Python, SQL/NoSQL etc.
• Build analytical approach based on business requirements, then develop, train, and deploy machine learning models and AI algorithms
• Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML etc.
• Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras.
• Knowledge of math, probability, and statistics.
• Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms.
• Exposure in developing API using Flask/Django.
• Good experience in cloud infrastructure such as AWS, Azure or Google Cloud Platform

Good to have:

• Experience with MLOps: MLFlow, Kubeflow, CI/CD Pipeline etc.
• Good to have experience in Docker, Kubernetes etc
• Exposure in HTML, CSS, Javascript/JQuery, Node.js, Angular/React
• Experience in Flask/Django is a bonus

Pay Rate: $60 - $70 per hour

*Pay range offered to a successful candidate will be based on several factors, including the candidate's education, work experience, work location, specific job duties, certifications, etc.

Qualified candidates should APPLY NOW for immediate consideration! Please hide APPLY to provide the required information, and we will be back in touch as soon as possible.

Benefits: Volt offers benefits (based on eligibility) that include the following: health, dental, vision, term life, short term disability, AD&D, 401(k), Sick time, and other types of paid leaves (as required by law), Employee Assistance Program (EAP).

Volt is an Equal Opportunity Employer and prohibits any kind of unlawful discrimination and harassment. Volt is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment on the basis of race, color, religion or belief, national origin, citizenship, social or ethnic origin, sex, age, physical or mental disability, veteran status, marital status, domestic partner status, sexual orientation, or any other status protected by the statutes, rules, and regulations in the locations where it operates. If you are an individual with a disability and need a reasonable accommodation to assist with your job search or application for employment, please email or call . Please indicate the specifics of the assistance needed.

Volt does not discriminate against applicants based on citizenship status, immigration status, or national origin, in accordance with 8 U.S.C. 1324b. The company will consider for employment qualified applicants with arrest and conviction records in a manner that complies with the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, and other applicable laws.