10 Job openings found

Hi All,   We are Hiring for AI/ML Engine AI/ML Engineer responsible for building core ML infrastructure that powers adaptive learning for 100K+ students  Develop recommendation engines, predictive analytics, computer vision, and NLP systems using Python, TensorFlow, and PyTorch.   Task:   Design and train ML models for student behavior prediction and content recommendation Build recommendation systems, personalizing study ...

About the Role : We are looking for a hands-on Full Stack Data Scientist who can independently manage the  entire machine learning lifecycle—from data wrangling to deployment—without relying on a  dedicated data engineering team. This role is ideal for someone who thrives in a fast-paced, self- directed environment and is passionate about building real-world ML solutions that drive  business outcomes.      Key Responsibilities : ∙Own the full ML pipeline: data ingestion, cleaning, feature engineering, model  development, deployment, and monitoring.  ∙Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost,  TensorFlow, or PyTorch.  ∙Deploy models using Databricks, MLflow, and cloud-native tools (preferably Azure).  ∙Develop robust, scalable pipelines using PySpark or native Databricks workflows.  ∙Collaborate with BI analysts and business stakeholders to translate requirements into  production-ready solutions.  ∙Maintain and improve existing models and pipelines with minimal supervision.      Required Skills : ∙3+ years of experience in applied data science or ML engineering.  ∙Strong Python programming skills, including experience with data manipulation and ML libraries.  ∙Experience with Databricks and cloud-based ML deployment (Azure preferred).  ∙Ability to work independently across the full stack of ML development and deployment.    ∙Familiarity with version control (Git), CI/CD, and MLOps best practices.  ∙Excellent communication skills and ability to work with remote teams across time zones.      Nice to Have  ∙Experience with data pipeline development using PySpark or Delta Lake.  ∙Exposure to Docker, REST APIs, or real-time inference.  ∙Prior experience working in a manufacturing or industrial analytics environment.    Interview Process:  Shortlisted candidates will be required to complete:  ∙An online technical skills assessment focused on Python and applied machine learning.  ∙An in-person practical test at our Ahmedabad Tech Center to evaluate real-world  problem-solving and deployment capabilities.  Hours: 2:30 PM – 11:30 PM IST (working from Office) Reports to: Manager, Data Analytics California, USA 

Key Responsibilities: - 1. Model Development: Design, build, and optimize supervised, unsupervised, and deep learning models for various business problems. 2. Data Exploration & Feature Engineering: Clean, transform, and analyze structured and unstructured data; identify significant features. 3. AI Integration: Develop end-to-end AI pipelines and integrate models into production systems ...

Designation: Machine Learning Engineer Years of Experience : 8 to 14 Years Location - Remote Role Summary: We are seeking a Machine Learning Engineer (MLE) contractor who will play a critical role in developing and implementing machine learning solutions that drive innovation and efficiency across our projects. The ideal candidate will possess a strong ...

Hello , Greetings from MM Management !! I am krishna kanth from MM Management, MM Management is into global recruitment services providing manpower across the globe.   About company- Company is an adept and reliable technology solutions provider focusing on Enterprise Digital Transformation for Software and Service Innovations and Business Process Management applications. Since our ...

Qualification Bachelor?s degree in Computer Science, Data Science,Mathematics, or related technical field.  Master/ PhD degree in Computer Science, Software Engineering, Mathematics, or related field.   Responsibilities   Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy. Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and ...

Please find the details below   Position : Data Scientist Location : Bangalore Experience requirement : 7-8 Years Joining Date : Immediate to 15 days      Job Description   Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy. Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions.  Research and stay ...

Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy. Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions.   Research and stay abreast of state-of-the-art machine learning technologies.   Follow code standards and best practices.  ...

Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy. Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions. Research and stay abreast of state-of-the-art machine learning technologies. Follow code standards and best practices. 7-8 years’ experience in ...

Opportunity for a Data Science practitioner with 3+yrs of hands on experience in statistical model development leveraging advanced analytics & machine learning techniques., Pune Job Description: Requirement gathering from client & suggesting analytical solutions/approach for implementation Collaborate with Data Architects/Database programmers Data Extraction from EDW/Big Data Platform, Dataset Preparation (creation of base data, ...