Role : Machine Learning Engineer

Employment Type : Fulltime with VDart Digital

Work Location : Remote

Shift Timings : General Day Shift - IST Time Zone

Experience Required : 4+ Years

Key Responsibilities :

- Design and implement machine learning workflows from data ingestion to model deployment.

- Develop, train, and fine-tune supervised and unsupervised ML models for business applications.

- Translate complex business problems into ML-based solutions and measurable outcomes.

- Build and automate model training, evaluation, and deployment pipelines.

- Collaborate with cross-functional teams to understand requirements and deliver production-grade models.

- Ensure scalability, reliability, and performance of deployed models.

- Monitor model accuracy, drift, and performance, and manage continuous improvement cycles.

- Document ML experiments, workflows, and results for reproducibility.

Required Skills & Qualifications :

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.

- Strong hands-on experience in building and deploying ML models end-to-end.

- Expertise in machine learning algorithms, model evaluation, and workflow orchestration.

- Experience with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch.

- Good understanding of MLOps practices, including CI/CD pipelines and model versioning.

- Experience in deploying ML solutions using APIs, containers, or cloud platforms (AWS, Azure, or GCP).

- Proven experience delivering real-world ML use cases such as classification, regression, forecasting, or recommendation systems.

Good to Have :

- Exposure to automation frameworks or ML pipeline tools (MLflow, Airflow, Kubeflow, etc.).

- Familiarity with data versioning and monitoring tools.

- Understanding of data governance and model lifecycle management.

Soft Skills :

- Strong problem-solving and analytical skills.

- Excellent communication and documentation abilities.

- Ability to work independently and within collaborative teams.