11+ LogRhythm Jobs in Pune | LogRhythm Job openings in Pune
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Job Title: L2 SIEM Administrator - LogRhythm
Location:
Pune – Customer Site (Magarpatta)
Job Summary:
We are seeking an experienced and proactive L2 SIEM Administrator with expertise in LogRhythm to manage, maintain, and optimize our Security Information and Event Management (SIEM) infrastructure.
The ideal candidate will develop use case frameworks, implement SIEM rules, and ensure efficient log management and threat detection.
Key Responsibilities:
LogRhythm Administration:
Manage and maintain the LogRhythm SIEM platform for optimal performance.
Develop, implement, and fine-tune use case frameworks and detection rules to enhance threat detection.
Incident Analysis:
Investigate security alerts and logs to identify and respond to threats.
Escalate unresolved issues to higher-level teams or external stakeholders.
Log Management:
Onboard and configure log sources, ensuring accurate data ingestion and normalization.
Validate log integrity across network and endpoint sources.
Optimization and Troubleshooting:
Resolve technical issues and optimize system performance.
Monitor and maintain dashboards and reporting tools for actionable insights.
Qualifications:
Proven expertise with LogRhythm, including creating and managing use case frameworks and detection rules.
3+ years of experience in SIEM administration.
Strong understanding of security logs, event correlation, and incident analysis.
Familiarity with scripting (Python, PowerShell) and security frameworks (e.g., MITRE ATT&CK).
Relevant certifications (e.g., LogRhythm Certified Professional (LRCP)) are a plus.

Sr. – Software EngineerÂ
Job Description
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Desired Technical Skillset:
MERN stack, ReactJS, NodeJS, PostgreSQL .Microervices
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Total Work Experience: 3-5 Year Â
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Expectations from the candidate:
• Excellent knowledge of front-end frameworks like ReactJS
• Experience with popular React.js workflows
• Experience with development on NodeJS
• Experience with development on PostgreSQL
• Experience working with server-client architectures, consuming JSON data from API’s
• Curiosity and a highly collaborative work style, a wish to share what you already know and jumping at the opportunity to dive into new technology.
• Collaborate with cross-functional teams to define, design, and ship new features
• Lead or participate in design reviews, code reviews and architecture evolution discussions
• Unit-test code for robustness, including edge cases, usability, and general reliability
• Work on bug fixing and improving application performance
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency
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Why Choose This Program?
Completely FREE Training – Zero upfront costs!
8 Hours of Classroom Training Daily – Real, hands-on experience
Small Batch Size (8-10 Candidates) – Maximum personal attention
Real-World Case Studies & Practical Learning – Learn from actual financial scenarios
100% Job Placement Guarantee
Industry-Recognized Certification Support – Prepare for certifications like:
Oracle Financials Cloud: General Ledger Implementation Specialist
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Program Details:
Mode: Classroom Training (In-Person)
Duration: 2-3 Months
Cost: FREE (With a 3-Year Financial Bond)
Eligibility: CA’s MBA (Finance), CA Inter, ICWA, ICWA Inter, and Commerce Graduates
Skills You Need: Strong communication skills & proficiency in Excel
Limited Seats – Apply NOW to Secure Your Spot!
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POSITION / TITLE: Data Science Lead
Location: Offshore – Hyderabad/Bangalore/Pune
Who are we looking for?
Individuals with 8+ years of experience implementing and managing data science projects. Excellent working knowledge of traditional machine learning and LLM techniques.Â
‎ The candidate must demonstrate the ability to navigate and advise on complex ML ecosystems from a model building and evaluation perspective. Experience in NLP and chatbots domains is preferred.
We acknowledge the job market is blurring the line between data roles: while software skills are necessary, the emphasis of this position is on data science skills, not on data-, ML- nor software-engineering.
Responsibilities:
· Lead data science and machine learning projects, contributing to model development, optimization and evaluation.Â
· Perform data cleaning, feature engineering, and exploratory data analysis. Â
· Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.
· Collaborate with other DS and engineers to deliver projects.
Technical Skills – Must have:
· Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.
· Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.
· Ability to translate complex machine learning problem statements into specific deliverables and requirements.
· Should have worked with major cloud platforms such as AWS, Azure or GCP.
· Working knowledge of SQL and no-SQL databases.
· Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.
· Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.
· Strong understanding of evaluation and monitoring metrics for machine learning projects.
Technical Skills – Good to have:
· Track record of getting ML models into production
· Experience building chatbots.
· Experience with closed and open source LLMs.
· Experience with frameworks and technologies like scikit-learn, BERT, langchain, autogen…
· Certifications or courses in data science.
Education:
· Master’s/Bachelors/PhD Degree in Computer Science, Engineering, Data Science, or a related field.Â
Process Skills:
· Understanding of  Agile and Scrum  methodologies. Â
· Ability to follow SDLC processes and contribute to technical documentation. Â
Behavioral Skills :
· Self-motivated and capable of working independently with minimal management supervision.
· Well-developed design, analytical & problem-solving skills
· Excellent communication and interpersonal skills. Â
· Excellent team player, able to work with virtual teams in several time zones.

- Good understanding of NODE JS back-end development
- Strong understanding of Node.js and frameworks available for it
- Understanding of front-end technologies, such as React/Angular, HTML and CSS3
-Solid understanding of object-oriented development and design patterns.
- Good experience with AJAX, REST and JSON
- Experience with development practices such as Test-Driven Development and Continuous Integration
-Experience in Version Control Systems like GIT, Bitbucket
- Must have good problem solving and analytical skills.
- Must be a team player, having good communication skills, self-starter
- Ability to pick up new technology is needed.


About Data Axle:
Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for over 50 years in the USA. Data Axle now as an established strategic global centre of excellence in Pune. This centre delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business & consumer databases.
Data Axle Pune is pleased to have achieved certification as a Great Place to Work!
Roles & Responsibilities:
We are looking for a Senior Data Scientist to join the Data Science Client Services team to continue our success of identifying high quality target audiences that generate profitable marketing return for our clients. We are looking for experienced data science, machine learning and MLOps practitioners to design, build and deploy impactful predictive marketing solutions that serve a wide range of verticals and clients. The right candidate will enjoy contributing to and learning from a highly talented team and working on a variety of projects.
We are looking for a Senior Data Scientist who will be responsible for:
- Ownership of design, implementation, and deployment of machine learning algorithms in a modern Python-based cloud architecture
- Design or enhance ML workflows for data ingestion, model design, model inference and scoring
- Oversight on team project execution and delivery
- Establish peer review guidelines for high quality coding to help develop junior team members’ skill set growth, cross-training, and team efficiencies
- Visualize and publish model performance results and insights to internal and external audiences
Qualifications:
- Masters in a relevant quantitative, applied field (Statistics, Econometrics, Computer Science, Mathematics, Engineering)
- Minimum of 5 years of work experience in the end-to-end lifecycle of ML model development and deployment into production within a cloud infrastructure (Databricks is highly preferred)
- Proven ability to manage the output of a small team in a fast-paced environment and to lead by example in the fulfilment of client requests
- Exhibit deep knowledge of core mathematical principles relating to data science and machine learning (ML Theory + Best Practices, Feature Engineering and Selection, Supervised and Unsupervised ML, A/B Testing, etc.)
- Proficiency in Python and SQL required; PySpark/Spark experience a plus
- Ability to conduct a productive peer review and proper code structure in Github
- Proven experience developing, testing, and deploying various ML algorithms (neural networks, XGBoost, Bayes, and the like)
- Working knowledge of modern CI/CD methods This position description is intended to describe the duties most frequently performed by an individual in this position.
It is not intended to be a complete list of assigned duties but to describe a position level.
Company Profile:
A global industry leader in the manufacturing industry for over 90 years, we are dedicated to keeping the world in motion across a diverse range of sectors, from conveyor systems to container cranes. Our cutting-edge drive technology is a cornerstone of modern mechanical and plant engineering, and we continue to shape the trajectory of this field both now and in the future.
Key Facts:
The workforce of over 21,000 worldwide, including 900 engineers and 600 researchers, as well as a significant number of trainees and development professionals.
Achieved sales totalling 4.2 billion Euros, reflecting our substantial impact on the industry.
Our commitment extends beyond business, as we actively prioritise inclusion, diversity, fair partnerships, and responsible resource utilization. With a presence in 54 countries, we maintain 17 production facilities and 88 Drive Technology Centers across five continents, ensuring rapid response, short delivery times, and personalized on-site assistance to our customers.
Responsibilities:
As an Assistant Manager/Engineer in the Branch Service team, you will play a vital role in ensuring our customers receive exceptional service and technical support. Your responsibilities will include:
- Providing service support to customers based on sales requirements.
- Offering technical support to sales engineers and customers.
- Planning and attending pending service jobs promptly.
- Responding to emergency service requests within designated timeframes.
- Inspecting customer units, performing failure analysis on-site, and providing service estimates to sales engineers.
- Performing geared-motor servicing at customer locations based on confirmed sales documentation.
- Conducting geared-motor servicing at the Service Center as per written confirmation.
- Coordinating and arranging the service of geared motors requiring off-site servicing.
- Conducting service training for customer engineers upon request from sales.
- Maintaining thorough documentation of service orders and files.
- Updating records in the system for the branch and Head Office.
- Providing feedback for maintaining necessary spare inventory at the branch in coordination with the Branch Manager/Regional Manager.
- Ensuring the Service Center, tools, tackles, and equipment are well-maintained.
- Assisting in other tasks as directed by the Branch Manager/Regional Manager in the absence of service jobs.
- Ensuring documentation and records adhere to QMS department procedures.
Authority:
- Preparing and providing service estimates.
- Creating and signing service reports for customer review.
- Deciding on component replacements during service jobs up to Rs.10,000 (in collaboration with Manager Service/Branch Manager).
- Making informed decisions on the course of actions during service engagements.
Dimensions:
- Area: Responsible for all regions within the sales branch.
- Customer Value: Handling service for 250-300 customers.
Profile:
- Education: Diploma in Mechanical/Electrical Engineering from a reputable institute.
- Experience: A minimum of 3 years experience in maintenance or servicing similar products within any engineering industry.
- Skills Required: Proficiency in Customer Relationship Management, strong Repairing and Troubleshooting skills, effective Communication Skills.
What We Offer:
- A collaborative and transparent working environment.
- Structured employee development programs and mentoring support.
- Personalized training to ensure a smooth onboarding experience.
- Access to state-of-the-art technology and excellent working conditions.
- An organization that values energy efficiency, social responsibility, and environmental protection.
- GCP Cloud experience mandatory
- CICD - Azure DevOps
- IaC tools – Terraform
- Experience with IAM / Access Management within cloud
- Networking / Firewalls
- Kubernetes / Helm / Istio

One of the American product based headquartered in Californ

- Bachelor’s Degree in Computer Science or equivalent.
- 2+ years of industry experience in programming web applications, mobile and/or large-scale enterprise products.
- Knowledge of C#, ASP, .NET, MVC.
- Experience with XML, ADO/ADO.NET, LINQ, AJAX, IIS.
- Hands-on experience with SQL and relational databases.
- Experience in TFS and Visual Studio.
- Familiar with SDLC and programming design patterns.
- Familiar with Agile methodology.
- Skillful at reviewing new feature impacts on an application and recognizing potential risks.
- Detailed oriented, professional and possesses a positive work attitude.
- Communicate professionally both verbally and in writing.
- Effective time management skills.