AI/ML Engineer

Job Title: AI/ML Engineer

Location: Remote / Onsite (as per project requirement)

Experience: 8 Years

Employment Type: Contract

Job Summary:

Roles and Responsibilities:

Design and implement machine learning models to solve real-world business problems.

Build and optimize data pipelines (ETL/ELT) for data ingestion, cleaning, and transformation.

Perform feature engineering and model tuning to improve performance and scalability.

Work with Python, TensorFlow, PyTorch, Scikit-learn, and other ML libraries.

Deploy ML models on cloud environments (AWS, Azure, GCP) or using Docker/Kubernetes.

Collaborate with data engineers, analysts, and business stakeholders to translate business goals into technical solutions.

Conduct A/B testing, model validation, and drift analysis to ensure model reliability.

Document model processes, experiment results, and create reproducible pipelines.

Required Skills:

Strong proficiency in Python and popular ML frameworks (TensorFlow, PyTorch, Scikit-learn).

Experience with data visualization tools (Matplotlib, Seaborn, Plotly).

Solid understanding of statistics, linear algebra, and probability.

Hands-on experience with Natural Language Processing (NLP), Computer Vision, or Predictive Analytics.

Familiarity with SQL/NoSQL databases and data processing tools (Pandas, NumPy, Spark).

Knowledge of APIs, RESTful services, and MLOps (CI/CD pipelines for ML).

Cloud experience: AWS SageMaker, Azure ML, or GCP AI Platform (preferred).

Educational Qualification:

Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.