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Senior Machine Learning Engineer
About the Role
We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.
This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.
Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.
What You’ll Be Doing
Building and Deploying ML Models
- Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
- Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
- Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
- Work with data engineers to design and validate data pipelines that feed ML systems.
- Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.
Leading and Architecting ML Solutions
- Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
- Architect ML solutions that integrate seamlessly with business applications and existing systems.
- Ensure models and solutions are explainable, auditable, and aligned with business goals.
- Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
- Set clear standards for how ML problems are framed, solved, and delivered within the team.
Collaborating and Communicating
- Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
- Translate business problems into clear ML objectives, inputs, and expected outputs.
- Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
- Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.
What We’re Looking For
Machine Learning Expertise
- Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
- Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
- Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
- Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.
Production and Cloud Deployment
- Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
- Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
- Experience with Docker, Kubernetes, or serverless architectures is a plus.
- Ability to think beyond deployment and consider operational reliability and long-term maintenance.
Data Handling
- Strong programming skills in Python.
- Proficiency in SQL and working with large-scale datasets.
- Ability to reason about data quality, data limitations, and how they impact ML outcomes.
- Familiarity with distributed computing frameworks like Spark or Dask is a plus.
Leadership and Communication
- Ability to lead and mentor ML Engineers and work effectively across teams.
- Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
- Comfortable taking ownership and making decisions in ambiguous problem spaces.
- Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.
Experience Needed
- 6+ years of experience in machine learning engineering or related roles.
- Proven experience designing, selecting, and deploying ML solutions used in production.
- Experience managing ML systems after deployment, including monitoring and iteration.
- Proven track record of working in cross-functional teams and leading ML initiatives.
We are looking for an experienced Media and PR Specialist who can help us elevate our brand presence and manage our media relations. The ideal candidate should have a proven track record in the B2B events industry and possess a deep understanding of media strategy and public relations.
Responsibilities & Scope of Work:
1. Media Strategy: Develop and execute a comprehensive media strategy to enhance our brand visibility and reputation within the industry.
2. Press Releases: Draft compelling press releases and news articles to announce company milestones, event launches, and other newsworthy developments.
3. Media Relations: Build and maintain strong relationships with key media outlets, journalists, and industry influencers.
4. Content Creation: Create engaging and informative content for various media channels, including social media, newsletters, and the company blog.
5. Event Promotion: Collaborate with the marketing team to promote our events through media channels, securing coverage and partnerships.
6. Analytics: Monitor and report on media coverage and PR efforts, providing insights and recommendations for continuous improvement.
Requirements and Qualifications
- Bachelor's degree in Communications, Public Relations, or a related field.
- 2+ years of experience in media relations and PR, preferably in the B2B events industry.
- Proven success in securing media coverage and building media relationships.
- Exceptional written and verbal communication skills.
- Strong organizational and project management abilities.
- Proficiency in PR software and analytics tools.
- Creative thinking and the ability to generate innovative PR ideas.
Job Type:
1. Full time & On-site
2. 5 day work week
Location: Bangalore/Mangalore
We are hiring for a Lead DevOps Engineer in Cloud domain with hands on experience in Azure / GCP.
- Expertise in managing Cloud / VMWare resources and good exposure on Dockers/Kubernetes
- Working knowledge of operating systems( Unix, Linux, IBM AIX)
- Experience in installation, configuration and managing apache webserver, Tomcat/Jboss
- Good understanding of JVM, troubleshooting and performance tuning through thread dump and log analysis
-Strong expertise in Dev Ops tools:
- Deployment (Chef/Puppet/Ansible /Nebula/Nolio)
- SCM (TFS, GIT, ClearCase)
- Build tools (Ant,Maven, Make, Gradle)
- Artifact repositories (Nexes, JFrog ArtiFactory)
- CI tools (Jenkins, TeamCity),
- Experienced in scripting languages: Python, Ant, Bash and Shell
What will be required of you?
- Responsible for implementation and support of application/web server infrastructure for complex business applications
- Server configuration management, release management, deployments, automation & troubleshooting
- Set-up and configure Development, Staging, UAT and Production server environment for projects and install/configure all dependencies using the industry best practices
- Manage Code Repositories
- Manage, Document, Control and Innovate Development and Release procedure.
- Configure automated deployment on multiple environment
- Hands-on working experience of Azure or GCP.
- Knowledge Transfer the implementation to support team and until such time support any production issues
Expertise in developing SAPUI5 applications using ADT(Eclipse)/Web IDE, JQuery, Java Script,XML,HTML5 & CSS3 And consuming the data by using Net weaver gateway services
• Expertise in developing NetWeaver gateway services(SEGW)
• Expertise in Integrating Gateway OData/JSON services with UI5 Apps, System Landscape, Architecture, SSO, Security Set Up and Gateway Configuration
• Fiori Package Configuration on SAP Gateway & Backend ECC App Configuration
• Customization & Extension of Fiori Apps
• Drive the System Landscape, Architecture, Security, Users Set Up
• Configure Gateway & Fiori Infrastructure (with support from Basis Team)
• Fiori App Configuration ( SAP Gateway & S/4HANA System)
• Work with Functional and Technical Resources in Setting up the S/4HANA Backend
• Set User Roles, Profiles, Apply Notes & Fixes in ABAP Systems
• Roll out Apps to Business Users for Testing
• Expertise in coding for consuming data for UI5 Apps through Netweaver Gateway OData/JSON services.
• Expertise in extending OData service/OData models
• Expertise in customizing/Extending the standard Fiori Apps
• Expertise in creating HANA Schemas, Packages, Attribute Views, Analytical Views, Calculation Views with HANA LIVE, Attribute mapping, creation of calculated measures, Calculated attributes, Input parameters, Variables, Restricted measures, Constant columns, Currency Unit conversion, stored procedures and maintaining analytical privileges, and involved in Data Provisioning using SLT and BODS(data services) meta data import. Involved in Export/Import of models, validations.
• Expertise in using AMDP, CDS views, ADBC, External views
- Collaborate with different teams to implement standards.
- Lead performance improvement projects.
- Work closely and influence global teams for process improvements.
- Execute project milestones promptly & effectively communicate progress to stakeholders.
Technical skills:
- Strong SQL skills (RDBMS / SnowFlake).
- Able to program in multiple languages (SAS, JavaScript).
- Functional knowledge on Supply chain & Logistics.
Soft skills:
- Ability to translate business requirements into data solutions.
- Above average initiative.
- Adaptability to changing priorities.
- Strong customer focus and ability to work effectively with a wide variety of people.
- Has the ability to work independently as well as in a team.
- Eager to learn & improve, continuously hones their skills.
- Strong solution-oriented analytic skills and shows creativity in their problem-solving.
- Has great attention to detail without losing sight of the big picture.
- Has great communication skills – Is able to represent the architect team, address their needs & requirements in meetings with process partners (inside & outside of the greater team).
- Must be willing to work in different shifts to have enough overlap with global team.
• 2+ years of professional experience working with React Native.
• Experience working with Swift, Objective C, and Java a plus but not required.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work.
• Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon, both in regard to estimates and to general process.
• Ability to identify with the goals of FullStack clients and dedicate yourself to delivering on the commitments you and your team make to them.
• An understanding of React Native best practices and a commitment to following them.
• Ability to work through new and difficult React Native issues and contribute to libraries as needed.
• Ability to create and maintain continuous integration and delivery of React Native applications.
• A positive mindset and can-do attitude.
• Attention to detail.
• English Skills (ability to effectively communicate via written and spoken English).
• You are passionate about software development...it's not just your career, it's your hobby.
• You are constantly striving to learn new things and improve.
• You follow industry news, regularly tinker with new technologies, and read books and blogs to keep your skills current.
•You work well within a team environment and enjoy working in the office with your colleagues.
• 2-5 years of product management or business systems design/analysis experience
• Strong experience of working on development and conceptualisation of consumer
facing mobile
applications (Andriod / ios) from scratch along with driving the growth, downloads
and usage of the
application
• Customer focused mind-set
• Strong communication and analytical skills, with ability to prioritize things so to
deliver projects in-line
with business needs and strategy
• Solid understanding of the practical application of agile development methods and
leading software
development teams in Agile environment.
• Experience working with external technology service/solution providers.
• Knowledge about automobile and finance industry will be an extra advantage
Responsibilities for Product manager
As part of the Product Management team, you will be the bridge between the
technical, business and design
teams. This role is inherently cross-functional and you will work closely with multiple
business, engineering,
operations, and finance teams to research, conceive, design, develop and deliver
products that create excitement.
As a Product Manager, you will be leading products from conceptualization to
launch. You will be responsible for
building and constantly improving the product using data, experience, and feedback
from end users.
• Establish short and long term product goals and strategies and manage a product
roadmap to support
business goals and strategies.
• Understand and analyse user needs, and conduct research on markets and
competitors.
- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub.
- Experience in migrating on-premise data warehouses to data platforms on AZURE cloud.
- Designing and implementing data engineering, ingestion, and transformation functions
-
Azure Synapse or Azure SQL data warehouse
-
Spark on Azure is available in HD insights and data bricks
- Experience with Azure Analysis Services
- Experience in Power BI
- Experience with third-party solutions like Attunity/Stream sets, Informatica
- Experience with PreSales activities (Responding to RFPs, Executing Quick POCs)
- Capacity Planning and Performance Tuning on Azure Stack and Spark.
Senior Fullstack (MERN) Developer - Tribe
Job Description:
We’re looking for a Full Stack developer who will take a key role on our team. Our Full Stack developer must have knowledge in all stages of software development. You’ll be working alongside other engineers and developers, collaborating on the various layers of the infrastructure for our platform
Roles & Responsibilities :
- Quick Learner and good at problem solving
- 2 - 5 years of experience in developing backend and frontend applications
- Good understanding and strong in data structures and algorithms
- Design overall architecture of application including frontend and backend.
- Maintain quality and ensure responsiveness of applications.
- Developing front end website architecture.
- Developing back-end website applications including designing and developing APIs.
- Creating servers and databases for functionality.
- Ensuring cross-platform optimization for mobile phones.
- Ensuring responsiveness of applications.
- Working alongside graphic designers for web design features.
- Seeing through a project from conception to finished product.
- Staying abreast of developments in web applications and programming languages.
- Collaborate with the rest of the engineering team to design and launch new features.
- Maintain code integrity and organization.
- Understanding and implementation of security and data protection.
- Highly experienced with back-end programming languages (Ex: Python, Java, JavaScript etc)
- Proficient experience using (Ex: advanced JavaScript libraries and frameworks such as ReactJS, AngularJS etc.).
- Experience with cloud message APIs and usage of push notifications at large scale.
- Knowledge of code versioning tools such at Git
- Good to have experience in MERN




