Data Scientist (Python, ML, SQL) in Mumbai, India is listed on Jobeax. Browse 30,000+ vacancies available.
Role Requirements Experience: 4 to 6 years of hands-on professional experience Education: BE/B.Tech/ME/M.Tech/MCA/MSc IT Primary Skills (must have): Strong Azure or AWS knowledge Strong working knowledge on Data Science, Artificial Intelligence, Machine Learning Secondary Skills (good to have): SQL, Python Professional Attributes: Strong analytical and problem-solving abilities Ownership mindset with a focus on quality and scalability
Additional Details • Work Mode & Location: Full-time, Work from Client (Mumbai)
... Participate in end-to-end ML workflows from data ingestion to model https://jobeax.com/link/6K228mqDEvef9KNC Qualifications & Skills :- 2 to 4 years of experience in AI/ML engineering or data science roles.- Proficiency in Python, especially for ML development.- Hands-on experience with TensorFlow, PyTorch, or similar ML frameworks.- ...
... 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 ...
... Requirements : - 3+ years of professional AI/ML engineering experience with a track record of delivering production-grade AI systems.- Strong programming skills in Python and SQL, with hands-on experience in ML libraries (scikit-learn, pandas, numpy) and deep-learning frameworks (PyTorch or TensorFlow).- Hands-on experience building ...
... Requirements : - 3+ years of professional AI/ML engineering experience with a track record of delivering production-grade AI systems.- Strong programming skills in Python and SQL, with hands-on experience in ML libraries (scikit-learn, pandas, numpy) and deep-learning frameworks (PyTorch or TensorFlow).- Hands-on experience building ...
... 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 ...
... 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 ...
... 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. ...
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.
... understanding of event-driven architecture and real-time data streaming patterns Familiarity with Avro/JSON schema management and Schema Registry Experience integrating data between legacy and modern platforms Strong SQL/Python skills and experience working with relational databases Understanding of data mapping, data quality, and ...