Machine learning Engineer

at VDart

Machine learning Engineer

VDart

Company

Home

Machine learning Engineer

at VDart

Posted by Abirami Ramdoss

5 - 30 yrs

₹15L - ₹35L / yr

Remote only

Skills

Machine Learning (ML)

Windows Azure

MLOps

Python

FastAPI

pandas

Natural Language Processing (NLP)

Generative AI

MLFlow

Role: Machine Learning Engineer

Employment Type: Permanent with VDart Digital

Work Location: Remote

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.

Role: Machine Learning Engineer

Employment Type: Permanent with VDart Digital

Work Location: Remote

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.

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About VDart

Founded :

2007

Type :

Services

Size

Stage :

Profitable

About

VDart - We are a global, emerging technology staffing solutions provider with expertise in SMAC (Social, Mobile, Analytics & Cloud), Enterprise Resource Planning (Oracle Applications, SAP), Business Intelligence (Hyperion), and Infrastructure services. We work with leading System Integrators in, the private and public sectors. We have deep industry expertise and focus in BFSI, Manufacturing, Energy & Utility, Healthcare and Technology sector. Our scope, knowledge, industry expertise, and global footprint have enabled us to provide best in the industry solutions. With our Core focus in emerging technologies, we have provided global technology workforce solutions in USA, Canada, Mexico, Brazil, UK, Australia & India. We take pride in delivering specialized talent, superior performance, and seamless execution to meet the challenging business needs of customers worldwide.

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