Senior AI Engineer With Python

Position: Senior AI Engineer With Python

Location:Albany, NY (Onsite/Remote)

Experience: 10+ Years

Work type: C2C only

Visa Type: H1-B, and

Job Summary

PETADATA is seeking a highly experienced AI Engineer with strong Python expertise to design, develop, and deploy advanced Artificial Intelligence and Machine Learning solutions. The ideal candidate will have deep hands-on experience across the AI lifecycle-from data engineering and model development to production deployment and optimization at scale.

Roles & Responsibilities:

• Design, develop, and deploy AI/ML models using Python for real-world business problems
  

• Architect end-to-end AI solutions including data pipelines, model training, evaluation, and deployment
  

• Work with large-scale structured and unstructured datasets
  

• Develop and optimize deep learning, NLP, computer vision, and predictive models
  

• Build scalable AI systems using cloud platforms (AWS, Azure, or Google Cloud Platform)
  

• Collaborate with data scientists, product managers, and engineering teams
  

• Implement MLOps practices including CI/CD, model versioning, monitoring, and retraining
  

• Ensure model performance, scalability, security, and compliance
  

• Mentor junior engineers and provide technical leadership
  

• Stay updated with the latest AI research, tools, and industry trends.

Required Qualifications:

• 10+ years of experience in software engineering with strong focus on AI/ML
  

• Expert-level Python programming
  

• Strong experience with Machine Learning frameworks:
  TensorFlow, PyTorch, Keras, Scikit-learn
  

• Solid understanding of:
  Machine Learning algorithms
  Deep Learning architectures
  NLP and/or Computer Vision
  

• Experience with data processing frameworks (Pandas, NumPy, Spark)
  

• Strong SQL and data modeling knowledge
  

• Hands-on experience with REST APIs, microservices, and model serving
  

• Proficiency in cloud services (AWS / Azure / Google Cloud Platform)
  

• Experience with Docker, Kubernetes, and containerized deployments
  

• Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, etc.)
  

• Strong problem-solving, communication, and leadership skills.

Educational Qualification:

Bachelor's/Master's or PhD in Computer Science, AI, Data Science, or related field

We offer a professional work environment and are given every opportunity to grow in the Information technology world.

Note:

Candidates are required to attend Phone/Video Call / In-person interviews and after Selection of candidate (He/She) should go through all background checks on Education and Experience.

Please email your resume to:

After carefully reviewing your experience and skills one of our HR team members will contact you on the next steps.