Sr. Data Science Developer Job at Golden Eagle IT Technologies (Indore)

Big Data Application Development Sr Programmer

The Applications Development Senior Programmer Analyst is an intermediate level ...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5-8 years of Development experience in big data space
Core Java
Full Stack developer
Big Data Frameworks
Hadoop
Scala
Hive
Impala
Kafka
Elastic

Job Responsibility

Develop real time and batch data transformation processes using wide range of technologies using Hadoop, Spark Stream, Spark SQL, Python, Hive etc.
Ability to translate architecture and low-level requirements to design and code using Big-data tools and processes
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Critically evaluate the current processing and recommend process efficiencies/enhancements
Work closely with Technology partners to ensure the Business requirements are met by the development team

Fulltime

Big Data Application Development Sr Programmer

The Applications Development Senior Programmer Analyst is an intermediate level ...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5-8 years of Development experience in big data space
Core Java
Full Stack developer
Big Data Frameworks
Hadoop
Scala
Hive
Impala
Kafka
Elastic

Job Responsibility

Develop real time and batch data transformation processes using wide range of technologies using Hadoop, Spark Stream, Spark SQL, Python, Hive etc.
Ability to translate architecture and low-level requirements to design and code using Big-data tools and processes
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Critically evaluate the current processing and recommend process efficiencies/enhancements
Work closely with Technology partners to ensure the Business requirements are met by the development team

Fulltime

Sr. Data Engineer

We are looking for a Sr. Data Engineer to join our team.

Location

Salary:

Not provided

Boston Data Pro

Expiration Date

Until further notice

Requirements

Data Engineering: 8 years (Preferred)
Data Programming languages: 5 years (Preferred)
Data Developers: 5 years (Preferred)

Job Responsibility

Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction
Ensures quality of technical solutions as data moves across multiple zones and environments
Provides insight into the changing data environment, data processing, data storage and utilization requirements for the company, and offer suggestions for solutions
Ensures managed analytic assets to support the company’s strategic goals by creating and verifying data acquisition requirements and strategy
Develops, constructs, tests, and maintains architectures
Aligns architecture with business requirements and use programming language and tools
Identifies ways to improve data reliability, efficiency, and quality
Conducts research for industry and business questions
Deploys sophisticated analytics programs, machine learning, and statistical methods to efficiently implement solutions
Prepares data for predictive and prescriptive modeling and find hidden patterns using data

Sr. Data Engineer

We are looking for a Sr. Data Engineer to join our team.

Location

Salary:

Not provided

Boston Data Pro

Expiration Date

Until further notice

Requirements

Data Engineering: 8 years (Preferred)
Data Programming languages: 5 years (Preferred)
Data Developers: 5 years (Preferred)

Job Responsibility

Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction
Ensures quality of technical solutions as data moves across multiple zones and environments
Provides insight into the changing data environment, data processing, data storage and utilization requirements for the company, and offer suggestions for solutions
Ensures managed analytic assets to support the company’s strategic goals by creating and verifying data acquisition requirements and strategy
Develops, constructs, tests, and maintains architectures
Aligns architecture with business requirements and use programming language and tools
Identifies ways to improve data reliability, efficiency, and quality
Conducts research for industry and business questions
Deploys sophisticated analytics programs, machine learning, and statistical methods to efficiently implement solutions
Prepares data for predictive and prescriptive modeling and find hidden patterns using data

Sr Staff Data Scientist

The mission of the Data Science team at Mist is to leverage state-of-art ML and ...

Location

United States , San Jose

Salary:

148000.00 - 340500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

MS or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math, or a related quantitative discipline
Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
Proficient in coding, (preferably in Python) processing large-scale data sets and developing machine learning models
Able to communicate effectively in a variety of formats and collaborate with diverse teams

Job Responsibility

Research and develop statistical learning models for data analysis
Collaborate with product management and engineering departments to understand company needs and devise possible solutions
Keep up-to-date with latest technology trends
Communicate results and ideas to key decision makers
Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Optimize joint development efforts through appropriate database use and project design

What we offer

Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
Personal and professional development programs
Inclusive workplace policies

Fulltime

Sr Data Analyst

Resource Informatics Group, Inc. is actively seeking a skilled Sr Data Analyst t...

Location

United States , Irving

Salary:

Not provided

Resource Informatics Group

Expiration Date

Until further notice

Requirements

Bachelor’s degree or foreign equivalent in Computer Science, Data Science, Data Analytics, Business Analytics, or a related field and six (6) years of experience in Data Analytics
Alternatively, a Master’s degree or foreign equivalent in Computer Science, Data Science, Data Analytics, Business Analytics, or a related field and three (3) years of experience in Data Analytics
Required skills include experience in SQL, Tableau, Python, data analysis, Unix scripting, AWS, Jira, Software Development Life Cycle (SDLC), Agile, and PL/SQL
Expertise in Machine Learning and Data Science, along with strong problem-solving capabilities and collaboration skills, is essential

Job Responsibility

Developing Python scripts to automate validations for data quality and quantity
Creating and maintaining automation scripts using Python and Linux Shell Scripting for platform maintenance activities and health checks
Extracting data from Salesforce Cloud and ensuring adherence to PRD specifications
Reconciling data between source and target tables, ensuring data consistency, accuracy, and integrity
Analyzing client data files and Developing procedures for preparing, transforming, and cleansing data prior to analysis
Generating and documenting reports using Python, SQL, Excel and Extracting data from disparate sources using technologies like Snowflake and Redshift
Creating scripts in Databricks to migrate the data from various sources to Data Warehouse
Performing data cleaning, transformation, enrichment and Utilizing data mining techniques on data for analysis
Design metrics and build dashboards in Tableau to track customer behavior, KPIs, and marketing effectiveness
create PL/SQL reports and should be moving them to AWS Redshift

Fulltime

Sr Data Scientist

Location

India , Hyderabad

Salary:

Not provided

Genzeon

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in developing and deploying Large Language Models, and Machine learning and working with Pytorch
A thorough understanding of machine learning, particularly deep learning techniques, including knowledge of neural network architectures, training methods, and optimization algorithms
Proficiency in AI technology, Python, including experience with NLP libraries (e.g., Hugging Face Transformers, NLTK, spaCy), text classification
Experience with frameworks: PyTorch, or Tensorflow
Experience with cloud services (AWS, Azure) and ML deployment tool Docker
Familiarity with model fine-tuning and optimization techniques for LLMs
Proven track record of innovative solutions in the field of LLMs
Strong communication skills, with the ability to explain complex AI concepts to non-expert audiences

Job Responsibility

LLM Architecture: Good understanding of the architecture underlying large language models, such as Transformer-based models and their variants. Design and implement deep learning model architectures using PyTorch
Language Model Training and Fine-Tuning: Experience in training large-scale language models from scratch, as well as fine-tuning pre-trained models on domain data
Data Preprocessing for NLP: Skilled in preprocessing textual data, including tokenization, stemming, lemmatization, and handling of different text encoding
Transfer Learning and Adaptation: Proficiency in applying transfer learning techniques to adapt existing LLMs to new languages, domains, or specific business needs
Data Annotation and Evaluation: Skills in designing and implementing data annotation strategies for training LLMs and evaluating their performance using appropriate metrics
Scalability and Deployment: Experience in scaling LLMs for production environments, ensuring efficiency and robustness in deployment
Model Training, Optimization, and Evaluation: Evaluate the performance of PyTorch models using appropriate metrics and techniques like cross-validation, holdout sets, or online evaluation. This encompasses the complete cycle of training, fine-tuning, and validating language models. You will be designing and adapting LLMs for use in virtual assistants, Information retrieval and extraction etc
Experimentation with Emerging Technologies and Methods: Actively exploring new technologies and methodologies in language model development, including experimental frameworks and software tools
LLM Alignment: Understanding of algorithms like DPO, PPO, KPO, RLHF and using it for guardrails
AI Data Retrieval: Data retrieval from unstructured data, extract key value pairs using techniques like donut, layoutLM, table transformers

Sr. ETL Developers

We are looking for talented individuals to become part of our growing business a...

Location

United States , Scottsdale; Naperville

Salary:

Not provided

Artha Solutions

Expiration Date

Until further notice

Requirements

Minimum 6 years of experience in IT Industry
At least 6 years of technical experience with databases or data warehousing
Experience in Oracle DB, SQL Server, Mysql, No SQL such as Mongo DB with strong skills on SQL and PL/SQL and Java
BS/BA in Computer Science or related discipline required
Candidates with Talend certifications & experience will be given a strong preference
Strong understanding of relational database concepts & technology – data modeling (dimensional/snowflake), SQL, query optimization, data warehouse architecture
Experience with setup, configuration, design best practices, performance optimization, team based development approaches with a leading Talend/BI tool
Well organized and able to manage multiple projects in a fast paced demanding environment
Attention to detail and quality
excellent problem solving and communication skills

Sr. Data Science Developer

Golden Eagle IT Technologies

Location:
India , Indore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 05, 2026

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Golden Eagle IT Technologies

Location:India , Indore

Category:IT - Software Development

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Salary:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:March 05, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

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Job Posted:
March 05, 2026