
Responsibilities
- Our Site reliability engineers work on improving the availability, scalability, performance, and reliability of enterprise production services for our products as well as our customer’s data lake environments.
- You will use your expertise to improve the reliability and performance of Hadoop Data lake clusters and data management services. Just as our products, our SRE are expected to be platform and vendor-agnostic when it comes to implementing, stabilizing, and tuning Hadoop ecosystems.
- You’d be required to provide implementation guidance, best practices framework, and technical thought leadership to our customers for their Hadoop Data lake implementation and migration initiatives.
- You need to be 100% hand-on and as a required test, monitor, administer, and operate multiple Data lake clusters across data centers.
- Troubleshoot issues across the entire stack - hardware, software, application, and network.
- Dive into problems with an eye to both immediate remediations as well as the follow-through changes and automation that will prevent future occurrences.
- Must demonstrate exceptional troubleshooting and strong architectural skills and clearly and effectively describe this in both a verbal and written format.
Requirements
- Customer-focused, Self-driven, and Motivated with a strong work ethic and a passion for problem-solving.
- 4+ years of designing, implementing, tuning, and managing services in a distributed, enterprise-scale on-premise and public/private cloud environment.
- Familiarity with infrastructure management and operations lifecycle concepts and ecosystem.
- Hadoop cluster design, Implementation, management and performance tuning experience with HDFS, YARN,
- HIVE/IMPALA, SPARK, Kerberos and related Hadoop technologies are a must.
- Must have strong SQL/HQL query troubleshooting and tuning skills on Hive/HBase.
- Must have a strong capacity planning experience for Hadoop ecosystems/data lakes.
- Good to have hands-on experience with – KAFKA, RANGER/SENTRY, NiFi, Ambari, Cloudera Manager, and HBASE.
- Good to have data modeling, data engineering, and data security experience within the Hadoop ecosystem.Good to have deep JVM/Java debugging and tuning skills.

About Acceldata
About
Acceldata is the company that built the leading Multidimensional Data Observability Cloud. This cloud was designed to help data-driven organizations achieve agility in innovation, operational excellence, and enhanced returns on data investment. Embedded analytics and artificial intelligence technologies are becoming more reliant on contemporary organizations to fuel their business operations and choices.
The data observability technologies offered by Acceldata improve the performance of embedded artificial intelligence and analytics workloads by providing purpose-built monitoring and analytics. The first Data Observability Cloud is presently being developed by Acceldata for cloud data warehouses and hybrid data lakes. Acceldata makes it easy for businesses to expand their pipelines to meet the requirements of modern business, regardless of whether they are operating in a platform or cloud environment. Data Observability Cloud by Acceldata provides on-demand operational information to support analytics data workloads and embedded artificial intelligence.
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Position Overview
We are seeking a skilled Python Developer with expertise in LangGraph and LangChain to join our dynamic team at InfoSec Ventures, a leading technology company dedicated to pioneering advancements in cybersecurity and data protection. In this role, you will leverage your programming skills to develop powerful applications that enhance our product offerings and deliver exceptional value to our clients.
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Link to apply- https://tally.so/r/w8RpLk
About Us
At GreenStitch, we are on a mission to revolutionise the fashion and textile industry through cutting-edge climate-tech solutions. We are looking for a highly skilled Data Scientist-I with expertise in NLP and Deep Learning to drive innovation in our data-driven applications. This role requires a strong foundation in AI/ML, deep learning, and software engineering to develop impactful solutions aligned with our sustainability and business objectives.
The ideal candidate demonstrates up-to-date expertise in Deep Learning and NLP and applies it to the development, execution, and improvement of applications. This role involves supporting and aligning efforts to meet both customer and business needs.
You will play a key role in building strong relationships with stakeholders, identifying business challenges, and implementing AI-driven solutions. You should be adaptable to competing demands, organisational changes, and new responsibilities while upholding GreenStitch’s mission, values, and ethical standards.
What You’ll Do:
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- Model Development: Design and implement deep learning models and machine learning pipelines to solve complex business challenges.
- Cross-Functional Collaboration: Work closely with product managers, engineers, and business teams to identify AI/ML opportunities.
- Innovation & Experimentation: Stay up-to-date with the latest AI/ML advancements, rapidly prototype solutions, and iterate on ideas for continuous improvement.
- Scalability & Optimisation: Optimise AI models for performance, scalability, and real-world impact, ensuring production readiness.
- Knowledge Sharing & Thought Leadership: Contribute to publications, patents, and technical forums; represent GreenStitch in industry and academic discussions.
- Compliance & Ethics: Model compliance with company policies and ensure AI solutions align with ethical standards and sustainability goals.
- Communication: Translate complex AI/ML concepts into clear, actionable insights for business stakeholders.
What You’ll Bring:
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- Software Development: Experience in Python, Java, or similar languages, and familiarity with MLOps tools.
- Problem-Solving: Ability to apply AI/ML techniques to real-world challenges with a data-driven approach.
- Growth Mindset: Passion for continuous learning and innovation in AI and climate-tech applications.
- Collaboration & Communication: Strong ability to work with cross-functional teams, communicate complex ideas, and drive AI adoption.
Why GreenStitch?
GreenStitch is at the forefront of climate-tech innovation, helping businesses in the fashion and textile industry reduce their environmental footprint. By joining us, you will:
- Work on high-impact AI projects that contribute to sustainability and decarbonisation.
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Location: Bangalore(India)
Employment Type: Full Time, Permanent
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Department: Data Science & Machine Learning
Join us in shaping the future of sustainable fashion with cutting-edge AI solutions! 🚀

Job Description:
We are seeking a Senior AI Developer to join our dynamic team and lead AI-driven projects. This role requires a blend of advanced technical expertise in AI and machine learning, exceptional problem-solving abilities, and experience in building and deploying scalable AI solutions.
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- Conducting a demo session with the parents and kids to explain the programs.
- Interacting with different departments to close the sales.
- Guiding the students to a brighter career path (over a video call)
- Build a repo with the customer.
Key Skills - Java , Hibernate , Spring , Maven, MVC Framework ,Spring Boot , J2EE
1.Triage of security alerts that includes but not limited to malware, denial of service, unauthorized access, etc.
2. Conduct incident investigations on SIEM tools.
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7. Ability to analyze endpoint, network, and application logs
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- 4-15 year experience in Application Support
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- Good to have knowledge in Agile, JIRA, Splunk, Service Now
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We have an Excellent job Opportunity for "Applied Machine Learning Engineer" with one of thr Product based organization for Remote Working Mode or for Mumbai Location.
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you will derive insights from the trained models & data to help the product & business teams make better decisions.
Requirements:
- 2+ years of work experience as an ML engineer or Data Scientist with a Bachelors Degree in Computer science or related field
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- Experience with ML frameworks (like Tensorflow, Keras, PyTorch) & libraries like Sklearn.
- Experience with ML infrastructure & shipping models.
- Excellent programming & algorithmic skills. Good understanding of Data Structures and algorithms (fluent in at least one object oriented programming language). Proficiency in Python is a must.
- Strong understanding of database systems & schema design. Proficient in SQL
Please let us know if you are interested in the above opening and if interested please let us know your
Current CTC :
Expected CTC :
Notice Period :
Relevant experience in Machine Learning :
Relevant experience in Deep Learning:
Relevant experience in NLP Applications:
Regards
Ashwini

- Work with modern tools and technologies including Azure
- Work in a highly collaborative agile/scrum delivery environment.
- Ability to influence testing methodologies and tools.
- Opportunity for long-term advancement and career growth.
- Thrive in a company that values a culture of safety, sustainability, inclusiveness, and performance.
WHAT YOU WILL DO
- Proactively learn and understand the existing platform and proposed new feature requirements
- Designs create, and executes test plans, scenarios, scripts, or procedures that address areas such as database impacts, regression testing, negative testing, error or bug retests, or usability.
- Collaborate with the other members to create a world-class QA function
- Verify or validate model outcomes
- Python coding
- Identify, analyze, and document problems with requirements, program functionality, and /or data
- Validate Production releases
- Document software defects, using a bug tracking system (Azure Dev Ops), and report defects to software developers and stakeholders
Required Qualifications
- 8+ years’ experience working in an IT environment
- Experience putting together a roadmap plan for QA functions and features
- Experience performing feature testing on multiple applications and platforms
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- Experience in API testing
- Experience in DevOps
- Experience in Insight validation
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- Exposure to the Microsoft BI stack including (Azure SQL, SQL Server, SQL queries, Azure Data Factory, SSIS, SSAS, Power BI, SSRS)
- Experience with Azure Dev Ops
- Experience with data warehouse and/or BI environments
- Experience with an Agile software methodology
- Experience designing, developing and maintaining automated test scripts
- Excellent communication skills, both written and verbal, with strong analytical and problem-solving skills
- Automation skills
- Good to have Python DS/ML library knowledge

