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One of our leading IT services is Artificial Intelligence.
- The SA must have experience in the following areas:
- GCP Infrastructure as code (knowledge of terraform, etc.) and how to deploy
- GCP Service Architecture and Tooling knowledge
- Some experience with GCP Big Query to allow for strategies when online services need to query for data (scale cost vs fixed)
- Experience with online Google tools ecosystem (Tag Manager, Optimise, GMP)
- Some knowledge of network infrastructure on GCP
- Working with security gateways
- Working with elastic infrastructure and container technologies is desirable
Responsibilities :
- Get involved in the entire customer lifecycle from onboarding through the duration of their subscription period
- Provide product training to enable the customers to realize the potential of Empuls.
- Identify product usage gaps and provide actionable solutions to the customers.
- Build value-based relationships with customers and create Xoxoday champions.
- Conduct Strategic Business Reviews (EBRs and QBRs) to understand customer lifecycle milestones, communicate the value of our product, showcase ROI,
- Drive desired customer outcomes through a consultative approach.
- Identify opportunities for upselling and cross-selling along with the Account Managers.
- Communicate and brainstorm with the product team on customer feedback and help refine the product roadmap.
- Work with the marketing team to execute customer surveys, case studies, etc.
- Optimize existing processes within the company and actively enhance all Customer Success initiatives.
- Drive customer advocacy through reviews, testimonials, and customer meetups; and create a center of excellence within the customer's organization.
Requirements:
- Has relevant 4 to 6 years of work experience in a Customer Success role in a B2B SaaS company
- Hands-on with tools like Pendo, HubSpot, Postman etc.
- Should be open to aligning with the different time zones based on business requirements.
- Showcases exemplary written and verbal communication skills to work with Global Customers.
- Has worked directly with Customers in the Americas or European region.
- Has an exceptional ability to communicate and foster positive business relationships.
- Demonstrates a deep understanding of customers concerns and thoughts regarding the use of products.
- Managed customers across different segments in the past and knows how to manage them differently.
- Exhibits a true passion for customers and for Customer Success.
What can you look for?
This a wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact, and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at Xoxoday.
We are
Xoxoday is a rapidly growing fintech SaaS firm that propels business growth while focusing on human motivation. Backed by Giift and Apis Partners Growth Fund II, Xoxoday offers a suite of three products - Plum, Empuls, and Compass. Xoxoday works with more than 2000 clients across 10+ countries and over 2.5 million users. Headquartered in Bengaluru, Xoxoday is a 300+ strong team with four global offices in San Francisco, Dublin, Singapore, New Delhi.
Way forward
We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. We however assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.


Desired Competencies (Technical/Behavioral Competency)
Must-Have
- Experience in working with various ML libraries and packages like Scikit learn, Numpy, Pandas, Tensorflow, Matplotlib, Caffe, etc.
- Deep Learning Frameworks: PyTorch, spaCy, Keras
- Deep Learning Architectures: LSTM, CNN, Self-Attention and Transformers
- Experience in working with Image processing, computer vision is must
- Designing data science applications, Large Language Models(LLM) , Generative Pre-trained Transformers (GPT), generative AI techniques, Natural Language Processing (NLP), machine learning techniques, Python, Jupyter Notebook, common data science packages (tensorflow, scikit-learn,kerasetc.,.) , LangChain, Flask,FastAPI, prompt engineering.
- Programming experience in Python
- Strong written and verbal communications
- Excellent interpersonal and collaboration skills.
Role descriptions / Expectations from the Role
Design and implement scalable and efficient data architectures to support generative AI workflows.
Fine tune and optimize large language models (LLM) for generative AI, conduct performance evaluation and benchmarking for LLMs and machine learning models
Apply prompt engineer techniques as required by the use case
Collaborate with research and development teams to build large language models for generative AI use cases, plan and breakdown of larger data science tasks to lower-level tasks
Lead junior data engineers on tasks such as design data pipelines, dataset creation, and deployment, use data visualization tools, machine learning techniques, natural language processing , feature engineering, deep learning , statistical modelling as required by the use case.


Mandatory Skills
- Proficient in automating Test cases using Python / C++
- Should have work on RAN or Core Network on LTE / 4G, 5G , 3G
- Should have done Protocol Conformance Testing / RF Conformance Testing / Carrier Acceptance Testing
- Should be able design test cases.
- Should have worked on protocols / network element like NAS/SIAP / RRC / PHY MAC / GCF / MME / SGW / PGW / PCRG / eNodeB / UTRAN / RACH
Good to Have
- Test automation framework & test suite development using Python or platform specific development expertise
- Experience in 5G will be an added advantage
- Interop testing and validation with chipset vendors / OEMs / Service Providers
What kind of profile will not be suitable
- Only RF Optimization
- Only Field Testing
- Only Log Analysis
- Network Monitoring & configuration
InfoGrowth is looking for a skilled Android Automotive OS Developer with 7+ years of experience in the automotive domain to join our cutting-edge team! If you're passionate about integrating technology with automotive systems and developing next-gen in-car infotainment solutions, this is the role for you.
Key Responsibilities:
- Develop and maintain applications for Android Automotive Operating System (AAOS), the Android-based infotainment system built directly into vehicles.
- Collaborate with automotive partners to integrate and optimize Google Automotive Services (GAS), including Google Maps, Play Store, and Google Assistant.
- Leverage your knowledge of vehicle signals and communication protocols to ensure smooth integration and performance of in-car apps.
- Work closely with cross-functional teams to deliver high-quality infotainment solutions for next-generation vehicles.
- Troubleshoot and optimize Android applications for automotive-specific use cases.
Key Skills:
- 7+ years of experience in Android development, with hands-on experience in the automotive domain.
- Strong knowledge of Android Automotive OS (AAOS) and Google Automotive Services (GAS).
- Expertise in vehicle signals and communication protocols.
- Proven experience in developing apps for in-car infotainment systems.
- Ability to collaborate with automotive engineers, testers, and designers to develop seamless solutions.

Looking for candidates anywhere in South India who can relocate to Bangalore after Covid ends
EDUCATION AND EXPERIENCE
- Computer Science degree from an accredited college or university
- 8-10 years software development experience
- Web based development experience (Core PHP, JavaScript, CSS, HTML, SQL)
- Experience in clinical or healthcare applications
- Good communication skills
• Create and maintain data pipeline
• Build and deploy ETL infrastructure for optimal data delivery
• Work with various including product, design and executive team to troubleshoot data
related issues
• Create tools for data analysts and scientists to help them build and optimise the product
• Implement systems and process for data access controls and guarantees
• Distill the knowledge from experts in the field outside the org and optimise internal data
systems
Preferred qualifications/skills:
• 5+ years experience
• Strong analytical skills
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Freight Commerce Solutions Pvt Ltd.
• Degree in Computer Science, Statistics, Informatics, Information Systems
• Strong project management and organisational skills
• Experience supporting and working with cross-functional teams in a dynamic environment
• SQL guru with hands on experience on various databases
• NoSQL databases like Cassandra, MongoDB
• Experience with Snowflake, Redshift
• Experience with tools like Airflow, Hevo
• Experience with Hadoop, Spark, Kafka, Flink
• Programming experience in Python, Java, Scala



About LodgIQ
LodgIQ is led by a team of experienced hospitality technology experts, data scientists and product domain experts. Seed funded by Highgate Ventures, a venture capital platform focused on early stage technology investments in the hospitality industry and Trilantic Capital Partners, a global private equity firm, LodgIQ has made a significant investment in advanced machine learning platforms and data science.
Title : Data Scientist
Job Description:
- Apply Data Science and Machine Learning to a REAL-LIFE problem - “Predict Guest Arrivals and Determine Best Prices for Hotels”
- Apply advanced analytics in a BIG Data Environment – AWS, MongoDB, SKLearn
- Help scale up the product in a global offering across 100+ global markets
Qualifications:
- Minimum 3 years of experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and optimization. Student projects are acceptable.
- At least 1 year of experience with Python / Numpy / Pandas / Scipy/ MatPlotLib / Scikit-Learn
- Experience in working with massive data sets, including structured and unstructured with at least 1 prior engagement involving data gathering, data cleaning, data mining, and data visualization
- Solid grasp over optimization techniques
- Master's or PhD degree in Business Analytics. Data science, Statistics or Mathematics
- Ability to show a track record of solving large, complex problems




• Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.
• Experience in selecting features, building and optimizing classifiers using machine learning techniques.
• Prior experience with data visualization tools, such as D3.js, GGplot, etc..
• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..
• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.
• Basic understanding of the banking industry is value add
Develop, process, cleanse and enhance data collection procedures from multiple data sources.
• Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
• Work closely with product teams to implement algorithms with Python and/or R.
• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
• Facilitate integration with enterprise applications using APIs to enrich implementations
