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Position: AI Developer
Location: Albany, NY (Onsite/Remote)
Experience: 10+ Years
Work type: C2C only
Visa Type: H1-B, GC and US Citizen
PETADATA is currently hiring for an AI Developer for one of their clients.
Roles & Responsibilities
AI / ML Model Development
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a 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: [email protected]
After carefully reviewing your experience and skills one of our HR team members will contact you on the next steps.
Location: Albany, NY (Onsite/Remote)
Experience: 10+ Years
Work type: C2C only
Visa Type: H1-B, GC and US Citizen
PETADATA is currently hiring for an AI Developer for one of their clients.
Roles & Responsibilities
AI / ML Model Development
- Design, develop, train, and deploy machine learning and deep learning models
- Select appropriate algorithms for supervised, unsupervised, and reinforcement learning
- Fine-tune models for accuracy, performance, and scalability
- Collect, clean, preprocess, and label structured and unstructured data
- Perform feature engineering and data transformation
- Handle large datasets using tools like Pandas, NumPy, Spark
- Train models using frameworks such as TensorFlow, PyTorch, Scikit-learn
- Evaluate models using appropriate metrics (accuracy, precision, recall, F1, AUC, etc.)
- Conduct experimentation, hyperparameter tuning, and A/B testing
- Integrate AI models into applications via APIs and microservices
- Build AI-powered features such as:
- Recommendation systems
- Chatbots and virtual assistants
- Computer vision and NLP solutions
- Collaborate with backend and frontend teams for seamless integration
- Deploy models using Docker, Kubernetes, or cloud AI services
- Implement CI/CD pipelines for ML workflows
- Monitor model performance, drift, and reliability in production
- Use cloud AI platforms such as AWS, Azure, or Google Cloud
- Work with services like SageMaker, Vertex AI, Azure ML
- Optimize compute, storage, and inference costs
- Ensure responsible AI practices (bias detection, explainability, fairness)
- Secure models, data, and APIs
- Follow data privacy and regulatory guidelines (GDPR, HIPAA, etc.)
- Validate data pipelines and model outputs
- Debug training and inference issues
- Perform performance optimization and scalability testing
- Document models, data sources, and decision logic
- Collaborate with data scientists, product managers, and engineers
- Communicate technical results to non-technical stakeholders
- Research and implement state-of-the-art AI techniques
- Build custom ML frameworks or libraries
- Mentor junior AI/ML engineers
- Drive AI strategy and innovation initiatives
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related field
- Proven experience as an AI Developer, ML Engineer, or similar role
- Strong programming skills in Python (experience with Java/Scala is a plus)
- Hands-on experience with machine learning and deep learning frameworks Like TensorFlow, PyTorch, Scikit-learn
- Solid understanding of ML algorithms, statistics, and model evaluation techniques
- Experience with data preprocessing, feature engineering, and large datasets
- Knowledge of MLOps practices, model deployment, and monitoring
- Experience with Docker, Kubernetes, and CI/CD pipelines
- Familiarity with cloud platforms (AWS, Azure, GCP) and AI services
- Understanding of AI ethics, security, and compliance standards
- Strong problem-solving, analytical, and communication skills
- Ability to work effectively in cross-functional teams
- Languages: Python, R, Java
- Frameworks: TensorFlow, PyTorch, Scikit-learn
- Data: SQL, NoSQL, Pandas, Spark
- MLOps: MLflow, Kubeflow, Airflow
- Cloud: AWS, Azure, GCP
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a 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: [email protected]
After carefully reviewing your experience and skills one of our HR team members will contact you on the next steps.
Key Skills
Ranked by relevance
ai
cloud
machine learning
tensorflow
pytorch
aws
deep learning
kubernetes
python
docker
pandas
spark
cicd
gcp
artificial intelligence
microservices
kubeflow
storage
mlflow
nosql
hipaa
numpy
mlops
java
gdpr
sql
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- Posted
- Feb 10, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Albany
- Company
- PETADATA
Industries
Technology
Information
Internet
Categories
Engineering
Information Technology
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