AI Developer

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, 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:

1. Recommendation systems

2. Chatbots and virtual assistants

3. 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, 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: TensorFlow, PyTorch, Scikit-learn

• Data: SQL, NoSQL, 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.

 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: 

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