Big Data Sales Jobs

I need an experienced AI/ML engineer to design, train, and validate a predictive model in Python. All of my data lives in CSV / Excel files, so the first step will be cleaning, transforming, and loading those structured datasets into an efficient pipeline. From there you’ll choose the most appropriate algorithms, iterate on feature engineering, and fine-tune the model until we reach an agreed-upon accuracy threshold. You should be fully comfortable with scikit-learn and pandas for data handling, and able to switch to TensorFlow or PyTorch if deep learning ends up adding value. Packaging the final model behind a lightweight API or another deployable artifact—so it can slot into our existing workflow—will be part of the scope. Deliverables: • Reproducible Python code...

# Data Engineer – Remote Contract We are looking for an experienced Data Engineer to join a remote technical project supporting an international client. * It is an open contract and you get paid monthly. ### Requirements • 2–4 years of professional Data Engineering experience • Strong Python and SQL skills • Hands-on experience with Apache Spark • Experience with Airflow, Dagster, or Prefect • Experience with dbt and modern data pipelines • Knowledge of Snowflake, BigQuery, Redshift, or Databricks • Experience with AWS, Azure, or GCP • Strong understanding of data modeling and Git workflows • Experience working with production data pipelines • Strong spoken and written English communication skills ### Nice to Have • K...

Job Description Job Title: IT Recruiter Company: Blockline Innovations Private Limited Location: Remote / Work From Home Employment Type: Full-time (Remote) Compensation: USD $10–15 per hour (based on experience and performance) About Blockline Innovations Blockline Innovations Private Limited is a deep-tech Web3 infrastructure company. The foundational layer of decentralized infrastructure. Powered by our globally distributed network of proprietary full nodes, transforming raw blockchain telemetry into actionable intelligence. Our flagship products include: Wallet Intelligence System (WIS): An enterprise-grade compliance and blockchain intelligence platform that enables government agencies, law enforcement, financial institutions, and enterprises to track digital asset movements and...

Summary Need a Data Pipeline Engineer (Python / ETL / PostgreSQL) We are looking for an experienced Data Pipeline Engineer to integrate multiple food databases into an existing production backend. Important: This is not a greenfield project. The backend, database schema, APIs, and food intelligence engine have already been built. Your role is to build and maintain the ingestion pipelines that feed the existing system. Current Backend Status * Existing PostgreSQL database schema * Existing backend APIs * Existing food scoring engine * Existing product model and normalization framework * Existing infrastructure for product ingestion Scope of Work Build reliable ingestion pipelines to import, clean, normalize, validate, and synchronize data from the following sources: * Open Food Facts...

I’m sitting on a very large, fully structured dataset and need an expert who can turn that raw volume into reliable, actionable insight. The core of the engagement is data analysis—everything from designing an efficient pipeline that ingests, cleans, and joins the tables at scale, to writing performant queries and statistical routines that surface trends I can use in decision-making. The stack is open: Apache Spark, Hadoop, distributed SQL engines, or another platform you’re confident will keep runtimes reasonable and costs under control. What matters most is that the solution handles billions of rows without sacrificing accuracy or maintainability and that every step you take is reproducible. Acceptance for the work will be based on: • A documented workflow (cod...

I’m rolling out a new, production-grade recommendation and ranking pipeline for several enterprise products and I need a senior-level engineer who already lives and breathes these systems. Your primary playground will be large-scale feature engineering and EDA, then building, tuning and shipping models that actually move CTR/CVR metrics in the wild. Here’s the environment you’ll be stepping into: Python and Spark for data prep, TensorFlow/PyTorch for model work, all running on AWS — S3, EMR and SageMaker. GenAI/LLM/RAG methods are in scope; I’m especially interested in seeing how you weave retrieval-augmented generation into ranking logic. You should be comfortable: • Designing and maintaining a feature store, then creating training/validation sets &bul...