PythonRole & Responsibilities
· Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources
· Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns
· Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling
· Investigate and document data lineage — understanding where data originates, how it flows, and how it transforms across systems
· Identify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams
· Develop a deep understanding of the business domain and the underlying data that represents it — including what each field means, how it is captured, and what its limitations are
· Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting
· Apply statistical techniques such as correlation analysis, hypothesis testing, variance analysis, and distribution fitting to extract meaningful signals from noise
· Build and deploy machine learning models including regression, classification, clustering, NLP, and time-series analysis
· Design, evaluate, and analyze A/B experiments and controlled tests using causal inference techniques
· Develop data-driven recommendations backed by rigorous statistical reasoning
· Write clean, production-ready code in Python or R
· Collaborate with data engineers to build reliable data pipelines and feature stores
· Deploy and monitor ML models using MLOps best practices on cloud infrastructure
· Build dashboards and self-serve analytics tools to support stakeholder decision-making
Data Understanding & Analysis Skills
· Strong ability to interrogate unfamiliar datasets and quickly develop a working understanding of their structure, semantics, and quirks
· Experience working with messy, incomplete, or poorly documented real-world data
· Skilled in identifying hidden patterns, trends, seasonality, and anomalies through visual and statistical exploration
· Ability to ask the right questions about data — challenging assumptions, validating sources, and understanding the context in which data was collected
· Proficiency in data profiling, descriptive statistics, and summary reporting to communicate the shape and health of a dataset
· Experience creating data dictionaries, documentation, and data quality reports to support team-wide data understanding
· Comfort working across structured (relational tables), semi-structured (JSON, XML), and unstructured (text, logs, sensor streams) data formats
Technical Skills Required
· Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and/or R
· Strong SQL skills with hands-on experience in DB2 and SQL Server
· Experience with Databricks for large-scale data processing, feature engineering, and model training
· Familiarity with cloud platforms: Azure or AWS
· Experience with data warehouses and big data platforms (Databricks, Snowflake, or Redshift)
· Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow
· Experience with streaming data technologies such as Kafka or Spark
· Solid foundation in probability, statistics, linear algebra, and experimental design
Nice to Have
· Experience with deep learning, NLP, computer vision, or Bayesian methods
· Familiarity with real-time or streaming data pipelines
· Open-source contributions or published research
Shubham Vishwakarma
Full Stack Developer - Averlon
About Gradera AI Technologies
About
Gradera delivers AI enterprise transformation through Software-Orchestrated Services and Neural IQ, deploying intelligent digital workers with governance.
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designer and manufacturer of high performance elastomeric seals. The primary responsibility of
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plastic and metal components to maintain the highest product standards.
Key Responsibilities:
1. Incoming and Outgoing Material Inspection:
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- Prepare and maintain detailed records of material inspections and test results.
2. In-Process Inspection:
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- Conduct dimensional and visual inspections of plastic and metal components during
manufacturing.
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3. Final Product Inspection:
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shipment.
- Verify compliance with customer specifications and regulatory requirements.
4. Documentation and Reporting:
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5. Collaboration and Continuous Improvement:
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efficiency.
6. Equipment Maintenance and Calibration:
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Qualifications and Skills:
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seals, plastics industry.
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Soft Skills:
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Machine Learning (ML)
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Apply if:
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We value quality implementations and thorough documentation over quantity. Show us how you think through problems and implement solutions!
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React Native
iOS App Development
Android Development
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BlackLight Games:
At BlackLight and we bring classic game experience to mobile. Our games have been rocking the Play Store since launch.
Our real time multiplayer games are a piece of cutting-edge technology, we take pride that they are played by more than 2 million players daily.
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AngularJS (1.x)
Ruby on Rails (ROR)Javascript
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Full Stack Developer - Averlon