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Dimiour - Machine Learning Engineer - Tensorflow/PyTorch Job Opening In India, India – Now Hiring dimour.io


Job description

<p>Role : Machine Learning Engineer<br/><br/>Employment Type : Fulltime with VDart Digital<br/><br/>Work Location : Remote<br/><br/>Shift Timings : General Day Shift - IST Time Zone <br/><br/>Experience Required : 4+ Years<br/><br/>Key Responsibilities :<br/><br/>- Design and implement machine learning workflows from data ingestion to model deployment.<br/><br/>- Develop, train, and fine-tune supervised and unsupervised ML models for business applications.<br/><br/>- Translate complex business problems into ML-based solutions and measurable outcomes.<br/><br/>- Build and automate model training, evaluation, and deployment pipelines.<br/><br/>- Collaborate with cross-functional teams to understand requirements and deliver production-grade models.<br/><br/>- Ensure scalability, reliability, and performance of deployed models.<br/><br/>- Monitor model accuracy, drift, and performance, and manage continuous improvement cycles.<br/><br/>- Document ML experiments, workflows, and results for reproducibility.<br/><br/>Required Skills & Qualifications :<br/><br/>- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.<br/><br/>- Strong hands-on experience in building and deploying ML models end-to-end.<br/><br/>- Expertise in machine learning algorithms, model evaluation, and workflow orchestration.<br/><br/>- Experience with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch.<br/><br/>- Good understanding of MLOps practices, including CI/CD pipelines and model versioning.<br/><br/>- Experience in deploying ML solutions using APIs, containers, or cloud platforms (AWS, Azure, or GCP).<br/><br/>- Proven experience delivering real-world ML use cases such as classification, regression, forecasting, or recommendation systems.<br/><br/>Good to Have :<br/><br/>- Exposure to automation frameworks or ML pipeline tools (MLflow, Airflow, Kubeflow, etc.).<br/><br/>- Familiarity with data versioning and monitoring tools.<br/><br/>- Understanding of data governance and model lifecycle management.<br/><br/>Soft Skills :<br/><br/>- Strong problem-solving and analytical skills.<br/><br/>- Excellent communication and documentation abilities.<br/><br/>- Ability to work independently and within collaborative teams.</p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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Unlock Your Dimiour Machine Potential: Insight & Career Growth Guide


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