AI Developer
Listed on 2026-03-01
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Engineer
Overview
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 & ResponsibilitiesAI / 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
Data Engineering & Preparation
- Collect, clean, preprocess, and label structured and unstructured data
- Perform feature engineering and data transformation
- Handle large datasets using tools like Pandas, Num Py, Spark
Model Training & Evaluation
- Train models using frameworks such as Tensor Flow, PyTorch, Scikit-learn
- Evaluate models using appropriate metrics (accuracy, precision, recall, F1, AUC, etc.)
- Conduct experimentation, hyperparameter tuning, and A/B testing
AI Application Development
- 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
Deployment & MLOps
- Deploy models using Docker, Kubernetes, or cloud AI services
- Implement CI/CD pipelines for ML workflows
- Monitor model performance, drift, and reliability in production
Cloud & Platform Usage
- Use cloud AI platforms such as AWS, Azure, or Google Cloud
- Work with services like Sage Maker, Vertex AI, Azure ML
- Optimize compute, storage, and inference costs
Security, Ethics & Compliance
- Ensure responsible AI practices (bias detection, explainability, fairness)
- Secure models, data, and APIs
- Follow data privacy and regulatory guidelines (GDPR, HIPAA, etc.)
Testing & Debugging
- Validate data pipelines and model outputs
- Debug training and inference issues
- Perform performance optimization and scalability testing
Documentation & Collaboration
- Document models, data sources, and decision logic
- Collaborate with data scientists, product managers, and engineers
- Communicate technical results to non-technical stakeholders
Optional / Advanced Responsibilities
- 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 Tensor Flow, 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:
Tensor Flow, PyTorch, Scikit-learn - Data: SQL, No
SQL, 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.
NoteCandidates 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.
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