Engineer, Data Science
Hyderabad, TS, IN
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingApply machine learning and statistical modeling to manufacturing data
Extract and integrate data from multiple sources using SQL, APIs and ETL/ELT pipelines
Cleanse and transform data, handling outliers and missing values
Communicate technical findings to technical and business stakeholders
From the employer’s posting
Hands-on experience or strong knowledge in Agentic AI, machine learning, statistical modeling
Ability to extract and integrate data from multiple sources using SQL, APIs, ETL/ELT pipelines
Strong understanding of data cleansing, feature extraction, outlier detection, missing-data handling
Strong verbal and written communication skills with the ability to communicate technical findings effectively to both technical and business stakeholders
What you’ll bring
All qualificationsCore experience
- Strong Python and/or R with solid software development skills
- Experience with SQL databases and large-scale data platforms such as Snowflake or Teradata
- Knowledge of machine learning, statistical modeling and feature engineering
- Experience with TensorFlow, PyTorch, scikit-learn or similar frameworks
Qualification wording
Strong proficiency in Python and/or R, with solid software development and scripting capabilities
Experience working with SQL databases and large-scale data platforms, including Snowflake, Teradata, or similar technologies
Hands-on experience or strong knowledge in Agentic AI, machine learning, statistical modeling, feature engineering
Experience with TensorFlow, PyTorch, scikit-learn, or other machine learning/statistical frameworks
Tools in this posting
- JavaScript
- Python
- R
- SQL
- Azure
- Databricks
- Power BI
- Snowflake
- Spark
- Tableau
- PySpark
- PyTorch
- scikit-learn
- TensorFlow
Source — Tool mentions in context
Responsibilities include, but not limited to: Strong interest in building a career in Data Science, Machine Learning, Generative AI, and Agentic AI within highly automated manufacturing environments. * Hands-on experience or strong knowledge in Agentic AI, machine learning, statistical modeling, feature engineering, exploratory data analysis, and supervised/unsupervised/semi-supervised learning. * Strong proficiency in Python and/or R, with solid software development and scripting capabilities. * Experience working with SQL databases and large-scale data platforms, including Snowflake, Teradata, or similar technologies. * Knowledge of the Snowflake ecosystem, including data transformation, analytical workloads, and integration of Snowflake data with Python/ML applications. Experience with Snowpark, Snowflake Cortex AI, or similar AI/ML capabilities is a plus. * Experience with Microsoft Azure technologies, particularly services used for data, analytics, AI, and application deployment. Exposure to Azure Data Factory, Azure Databricks, Azure Machine Learning, Azure OpenAI, ADLS, or related Azure services is desirable. * Ability to extract and integrate data from multiple sources using SQL, APIs, ETL/ELT pipelines, and other query mechanisms. * Strong understanding of data cleansing, feature extraction, outlier detection, missing-data handling, data quality, and data transformation techniques. * Experience with distributed data processing technologies such as PySpark, Apache Spark, SparkR, or SparklyR. * Experience with TensorFlow, PyTorch, scikit-learn, or other machine learning/statistical frameworks. * Experience working with time-series data, image data, semi-supervised learning, anomaly detection, and datasets with frequently changing distributions is a plus. * Familiarity with SSIS, ETL/ELT processes, data pipelines, and data integration patterns. * Exposure to visualization or application technologies such as Tableau, Power BI, JavaScript, or Angular is beneficial. * Experience working with Manufacturing Execution Systems (MES) or semiconductor/manufacturing datasets is a plus but not required. * Experience with Generative AI, RAG, AI agents, LLM-based applications, prompt engineering, or enterprise AI solutions is highly desirable. * Strong software engineering fundamentals, including writing maintainable, reusable, production-quality code and working with version-control practices. * Strong analytical and problem-solving skills with the ability to translate complex business/manufacturing problems into scalable data and AI solutions. * Strong verbal and written communication skills with the ability to communicate technical findings effectively to both technical and business stakeholders. * Publications at conferences such as CVPR, NeurIPS, ICML, or KDD are a plus; however, this is an applied Data Science position rather than a research role. Job Profile(s):
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 2026 · 2 days ago
- Recorded sightings
- 11
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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- Location & working pattern
Hyderabad, TS, IN
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