Posted:None|
Platform:
Work from Office
Full Time
Data Engineer
Requirements:Extensive hands-on experience in developing and deploying machine learning and statistical models in production environments
Strong experience in end-to-end ML pipeline implementation including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoringProficient in working with large-scale structured and unstructured data across multiple sources for exploratory and predictive analyticsExperience with big data tools and platforms (On-Prem or Cloud) for scalable model training and data processing (e.g., Spark, Databricks, Hadoop)Deep understanding of supervised, unsupervised, and reinforcement learning algorithms with practical application in real-world use casesStrong expertise in programming languages such as Python and R for data analysis, visualization, and model developmentGood understanding of MLOps concepts including model versioning, model governance, and continuous integration/deployment of ML modelsExperience using cloud platforms (AWS, Azure, GCP) and associated ML tools and services such as SageMaker, Azure ML, Vertex AISolid knowledge of statistical testing, A/B testing, hypothesis testing, and experimental designFamiliar with data governance, data privacy, and compliance aspects of handling personal or sensitive dataExperience with tools like Jupyter, MLFlow, TensorBoard, or equivalent for model tracking and experimentationHands-on experience with data visualization tools such as Power BI, Tableau, or libraries like Matplotlib, Seaborn, PlotlyStrong experience with SQL and NoSQL databases for data extraction, manipulation, and analysisProven ability to translate complex business problems into data science solutions and present insights to non-technical stakeholdersExperience in collaborating with cross-functional teams including Data Engineers, Product Owners, and Business AnalystsFamiliar with version control and source code management tools like Git or TFSGood exposure to Agile/Scrum methodologies and sprint-based delivery modelsDemonstrated mentorship and technical leadership in guiding junior data scientists or analystsStrong analytical, logical thinking, and quantitative skillsTakes ownership of outcomes and delivers with accountabilityEffective communication skills with a keen ability to explain technical concepts to business usersQuick learner, self-driven, and passionate about data and innovation
ML model development, data preprocessing, feature engineering, ML pipelines, big data tools (Spark, Databricks), supervised/unsupervised learning, Python/R, MLOps, cloud platforms (AWS SageMaker, Azure ML), statistical testing, A/B testing, data governance, data privacy, Jupyter, MLFlow, data visualization (Power BI, Tableau), SQL/NoSQL, problem-solving, cross-functional collaboration, Git/TFS, Agile/Scrum, mentorship, communication, ownership, quick learner, data-driven innovation
What We Offer:
Globallogic
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
Instantly access job listings, apply easily, and track applications.
Practice Python coding challenges to boost your skills
Start Practicing Python Now
delhi
Experience: Not specified
1.8 - 2.4 Lacs P.A.
india
Experience: Not specified
Salary: Not disclosed
bengaluru, karnataka, india
Experience: Not specified
Salary: Not disclosed
hyderabad
20.0 - 35.0 Lacs P.A.
work from home
Experience: Not specified
1.8 - 3.0 Lacs P.A.
work from home
Experience: Not specified
1.8 - 3.0 Lacs P.A.
work from home
Experience: Not specified
1.8 - 3.0 Lacs P.A.
work from home
Experience: Not specified
1.8 - 3.0 Lacs P.A.
pune, maharashtra, india
Experience: Not specified
Salary: Not disclosed
pune, maharashtra, india
Salary: Not disclosed
