Machine Learning Engineer

Delhi, Delhi EliteRecruitments

Posted 23 days ago

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Machine Learning Engineer

Delhi, Delhi Gabeo.ai

Posted 24 days ago

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Machine learning engineer

Ghaziabad, Uttar Pradesh World Salon

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Machine Learning EngineerWorld Salon is looking for a Machine Learning Engineer to build recommendation systems and automation models. The responsibility will be developing algorithms and data models to match speakers with suitable events and recommend events to users' interests. The candidate will contribute to data collection strategies, optimize existing datasets, and implement machine learning models using Python and vector databases.Responsibilities:Build and maintain ML algorithms for speaker-event matching and personalized event recommendations.Develop and optimize data pipelines and vector database integrations.Manage data collection processes to enhance model accuracy.Analyze business requirements and translate them into scalable ML solutions.Qualifications:Degree from a leading university in Data Science, Machine Learning, Computer Science, or a related field, or significant equivalent experience.Proficiency in Python and experience with machine learning frameworks (Tensor Flow, Py Torch, scikit-learn, etc.).Experience working with vector databases and implementing recommendation systems.Strong analytical capabilities combined with an understanding of business objectives.Ability to manage projects independently, from initial concept through implementation and evaluation.

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Machine learning engineer

Ghaziabad, Uttar Pradesh Genista Biosciences

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Machine Learning Engineer (Remote)Company: Genista Biosciences (San Jose, CA – US-based Biotech Startup)Genista Biosciences is a fast-growing biotech company dedicated to improving public health and food safety through robotics, software, and advanced technology. We’re looking for a Machine Learning Engineer to design, build, and deploy scalable ML models that power our cutting-edge food safety platform.What You’ll Do:Design, train, and deploy scalable machine learning models for real-world biotech applicationsWork closely with data scientists, engineers, and domain experts to translate requirements into production-ready ML solutionsOptimize model performance and ensure reliability in production environmentsImplement pipelines for data preprocessing, feature engineering, and model monitoringCollaborate with backend teams to integrate ML models into applications and APIsRequirements:2–5 years of experience as an ML Engineer or in a similar roleStrong proficiency in Python, ML frameworks (Tensor Flow, Py Torch, Scikit-learn)Experience deploying models at scale (cloud platforms: AWS/GCP/Azure)Knowledge of MLOps tools (Docker, Kubernetes, CI/CD for ML pipelines)Solid understanding of data structures, algorithms, and software engineering best practicesExperience with scientific/biotech/healthcare data is a plusPerks:100% remote Opportunity to apply ML in high-impact biotech solutionsStartup culture: autonomy, innovation, and ownership

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Machine learning engineer

Ghaziabad, Uttar Pradesh Dexian

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permanent
We seek a Machine Learning Engineer colleague to join our world-class client, one of thebiggest and most advanced IT company.• Remote work• Employment/Contract Type: Contract• Location: India• Duration: 1 year (with potential to be extended)• Hours per Week: 40 (Full-time)Description:We are seeking an experienced Machine Learning Engineer to join our growing team ofconsultants. In this role, you will be responsible for designing, developing, and deploying machinelearning models and algorithms to solve complex business challenges with Databricks. You will workclosely with data scientists, data engineers, and business stakeholders to build scalable and efficientmachine learning solutions.Key Responsibilities● Design and implement machine learning models and algorithms with Databricks, includingpredictive analytics, natural language processing, computer vision, and more.● Lead the end-to-end development process, from data collection and preprocessing to modeldeployment and monitoring.● Collaborate with cross-functional teams to understand business requirements and translatethem into technical solutions.● Optimize and fine-tune models for performance, accuracy, and scalability in a productionenvironment.● Stay up-to-date with the latest advancements in machine learning and AI, and apply them toimprove existing systems.● Contribute to the development of machine learning infrastructure, including data pipelines,model serving frameworks, and monitoring tools.● Collaborate with client stakeholders to drive solutions to solve business problems.Qualifications● Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a relatedfield; Ph D is a plus.● 3+ years of experience in machine learning engineering or related fields.● 2+ years of experience with Databricks● Proficiency in programming languages such as Python, R, or Java, with a strong understandingof machine learning libraries and frameworks (e.g., Tensor Flow, Py Torch, scikit-learn).● Experience with cloud platforms and MLOps tools, such as MLflow, for model deployment andmonitoring.● Strong problem-solving skills and ability to work in a fast-paced environment.● Excellent communication and collaboration skills, with a track record of working effectively incross-functional teamsAbout DexianDexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.
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Machine learning engineer

Ghaziabad, Uttar Pradesh World Salon

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permanent
Machine Learning EngineerWorld Salon is looking for a Machine Learning Engineer to build recommendation systems and automation models. The responsibility will be developing algorithms and data models to match speakers with suitable events and recommend events to users' interests. The candidate will contribute to data collection strategies, optimize existing datasets, and implement machine learning models using Python and vector databases.Responsibilities:Build and maintain ML algorithms for speaker-event matching and personalized event recommendations.Develop and optimize data pipelines and vector database integrations.Manage data collection processes to enhance model accuracy.Analyze business requirements and translate them into scalable ML solutions.Qualifications:Degree from a leading university in Data Science, Machine Learning, Computer Science, or a related field, or significant equivalent experience.Proficiency in Python and experience with machine learning frameworks (Tensor Flow, Py Torch, scikit-learn, etc.).Experience working with vector databases and implementing recommendation systems.Strong analytical capabilities combined with an understanding of business objectives.Ability to manage projects independently, from initial concept through implementation and evaluation.
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Machine Learning Engineer

Delhi, Delhi Gabeo.ai

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