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AI Developer

Job in City of Albany, Albany, Albany County, New York, 12201, USA
Listing for: Jobs via Dice
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: City of Albany

Overview

Dice is the leading career destination for tech experts at every stage of their careers. Our client, PETADATA, is seeking the following. Apply via Dice today!

Position

AI Developer

Location: Albany, NY (Onsite/Remote)

Experience: 13+ Years

Work type: C2C only

Visa Type: H1-B, and

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
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
Required Qualifications
  • 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, Google Cloud Platform) 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
Common Skills & Tools
  • Languages:

    Python, R, Java
  • Frameworks:
    Tensor Flow, PyTorch, Scikit‑learn
  • Data: SQL, No

    SQL, Pandas, Spark
  • MLOps: MLflow, Kubeflow, Airflow
  • Cloud: AWS, Azure, Google Cloud Platform
Educational Qualification

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.

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.

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

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