PETADATA
AI Developer
PETADATAUnited States2 days ago
Full-timeRemote FriendlyEngineering, Information Technology
Position: AI Developer

Location: Albany, NY (Onsite/Remote)

Experience: 13+ 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

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, NumPy, Spark

Model Training & Evaluation

  • 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

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 SageMaker, 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 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

Common Skills & Tools

  • Languages: Python, R, Java
  • Frameworks: TensorFlow, PyTorch, Scikit-learn
  • Data: SQL, NoSQL, Pandas, Spark
  • MLOps: MLflow, Kubeflow, Airflow
  • Cloud: AWS, Azure, GCP

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.

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.

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