Data Scientist (Python, ML, SQL) in Hyderabad, India

... Responsibilities Design, develop, test, and maintain applications using Python . Develop reusable, scalable, and maintainable Python code. Write complex and optimized SQL queries , stored procedures, joins, subqueries, and CTEs. Work with relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server . Develop and integrate ...

... Responsibilities Design, develop, test, and maintain applications using Python . Develop reusable, scalable, and maintainable Python code. Write complex and optimized SQL queries , stored procedures, joins, subqueries, and CTEs. Work with relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server . Develop and integrate ...

... about using data visualisations to tell stories 1–3 years experience in creating data visualisations proficient in R or Python proficient in using code to clean data, transform, and aggregate data familiar with version control concepts and tools for collaborative development experience writing SQL and working with relational ...

... Experience with cloud-native data platforms and services such as: AWS: S3, Kinesis, DynamoDB, RDS, Glue, EMR, Redshift Azure: ADLS, ADF, Event Hubs, Synapse, Databricks, Azure SQL Strong programming skills in Python, Scala, or Java . Experience in Fraud Analytics, data lakes, ML pipelines, and modern data platform architectures.

... for an experienced Data Engineer to design, develop, and maintain scalable data platforms and pipelines using AWS, Apache Spark, Python, SQL, Kafka, and modern data engineering frameworks . The role will focus on building reliable data solutions for high-volume batch and real-time workloads, including data ingestion, transformation, ...

... opportunity for a Data Scientist to join a new and rapidly growing intraday team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to research, engineer, and validate quantitative signals derived from high-frequency equity market data ...

... obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Job Title: Data Scientist We're the world's leading data, insights, and consulting company we shape the brands of tomorrow by better understanding people everywhere. We are looking for a Data Scientist who will work ...

... workflows. Collaborate with ML engineers and researchers to design challenging, real-world evaluation scenarios for MLE Bench. Minimum 3+ years of experience as a Data Analyst or Analytics-focused Engineer . Strong proficiency in Python for data analysis. Solid experience with SQL and relational datasets. Experience analyzing ...

... mapping, and change detection. - Ensure annotation accuracy, consistency, and adherence to defined quality standards (QA/QC frameworks) across all delivered datasets. - Define and continuously improve annotation guidelines, taxonomies, and labeling protocols in collaboration with Data Science and ML teams. - Stay current ...

... improve platform performance and resilience. Integrate with customer data platforms and pipelines, including bespoke data frameworks. 4–8 years of experience in data engineering or backend development in data-intensive environments. Proficient in Python and SQL; Strong experience with cloud-native data tools and services (S3, ...

... technical authority on internal data contracts and API schemas in cross-functional discussions with backend, product, and AI/ML teams 5+ years of experience in data engineering, with a proven track record delivering production-grade pipelines, data models, and storage architectures - Deep SQL expertise; hands-on experience ...

... delimited), APIs, XML, JSON). - Experience implementing data integration techniques such as event/message based integration (Kafka, Google Pub/Sub). - Advanced SQL skills; solid understanding of relational databases and business data; ability to write complex SQL queries against a variety of data sources. - Strong understanding ...

... RDS, Redshift Experience with stream-processing systems: Experience with object-oriented/object-function scripting languages: Python, Java, etc. Knowledge of data pipelines and workflow management tools like Airflow Hiring #SeniorDataEngineer #BigData #ChennaiJobs #ETL #AWS #SQL #DataPipelines #DataEngineering #Python #Java ...

... https://jobeax.com/link/hXQ9gENrYqInyB4B Stack:- Languages: Python, Bash, SQL- CI/CD: Jenkins, Azure DevOps, GitOps, Git- Cloud/Infra: Azure, AKS, Docker, Helm- ML/Data: Databricks ML, Delta Lake, MLflow, PySpark, PostgreSQL, Redis, ADLS Gen2Required Skills:- 4+ years of ML/AI engineering or DevOps experience.- Strong production MLOps pipeline ...

Data Engineer: PySpark+AWS Glue 4-8 years in Data Engineering with hands-on expertise in Snowflake, AWS Glue, AWS (S3/Lambda/CloudWatch), Python, PySpark, and SQL. Strong experience in ETL/ELT, Data Warehousing, Data Pipelines, Performance Tuning, and Cloud Data Platforms. Exposure to AI/ML or GenAI solutions is a plus ...

... demonstrated track record of delivering production-grade AI systems in real-world environments.- 3. Mandatory (Tech skill 1) : Must have strong programming skills in Python and SQL, with hands-on ML/data libraries (scikit-learn, pandas, numpy) and deep-learning frameworks (PyTorch or TensorFlow), plus REST API design.- 4. Mandatory ...

... and implement effective solutions.- Participate in design discussions, code reviews, technical documentation, and architecture decisions.- Work closely with Data Scientists, AI/ML Engineers, Architects, QA, DevOps, and Product teams.- Follow Agile/Scrum practices and contribute across the complete software development ...

... in NLP (clustering, summarization, sentiment analysis). Hands-on with AWS AI/ML stack. Familiarity with MongoDB & NoSQL/SQL. Experience with speech/multimodal AI. Exposure to data visualization tools. Build an AI-first SaaS platform solving real-world problems. Work with cutting-edge AI/ML and cloud-native architecture.

... in driving value for our customers by building data solutions. You'll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. ...

... optimize model performanceRequired Skills:- Strong experience in Python- Hands-on experience in Machine Learning, NLP, or Deep Learning- Good understanding of ML algorithms, statistics, and model evaluation techniques- Experience working with APIs, databases, and data pipelines- Familiarity with SQL and data processing- ...