AI Developer

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

• 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.