Client Relationship Manager

Role & Responsibilities

• Lead enterprise-scale implementation of data warehouse data platforms on Databricks and Snowflake environments.
• Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.
• Establish data modeling standards (dimensional, data vault, lakehouse patterns) and ensure best practices across projects
• Establish enterprise data governance frameworks including cataloging, lineage, stewardship, and compliance using Atlan.
• Define and implement CI/CD pipelines for infrastructure and data platform deployments
• Design data architectures that support AI/ML and Generative AI workloads including vector storage, feature layers, and secure access patterns.
• Build scalable ingestion frameworks supporting batch, streaming, and CDC pipelines.
• Architect secure, high-performance data integration layers for analytics, BI, and AI consumption.
• Develop target-state architecture blueprints and enforce data standards, governance, and best practices across teams.
• Collaborate with engineering, analytics, and data science teams to ensure platform alignment and scalability.
• Engage with clients as a trusted advisor, driving data strategy, roadmap definition, and identifying opportunities for expansion.

Ideal Candidate

• Strong Databricks / AWS Data Architect profile
• Mandatory (Experience 1) – Must have minimum 8+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives
• Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations
• Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security
• Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns
• Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing
• Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies
• Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management
• Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns
• Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption
• Preferred (Company) – Product Companies.
• Preferred (Certification) – AWS / Databricks / Snowflake certifications; experience with Snowflake alongside Databricks; exposure to MDM, data quality frameworks, and enterprise metadata tools

We are looking for a highly skilled and experienced Senior AIOps / MLOps Engineer with strong expertise in Azure Cloud, automation, platform engineering, CI/CD, observability, and enterprise-scale cloud operations.

The ideal candidate should have hands-on experience in designing, implementing, and managing modern cloud-native platforms with focus on AI/ML operationalization, DevOps automation, monitoring, reliability, and infrastructure modernization.

Required Experience

• 6 – 10 Years of overall IT experience
• Strong experience in AIOps / MLOps / DevOps engineering
• Hands-on enterprise experience in Azure Cloud platform engineering

Key Responsibilities

AIOps / MLOps

• Design and implement scalable enterprise-grade AIOps and MLOps platforms across cloud environments.
• Ensure AI platform reliability, governance, security, and model performance optimization.
• Implement LLM/AI model versioning, experiment tracking, drift detection, observability, and operational health monitoring frameworks.
• Collaborate with Data Science, DevOps, Cloud, and Application teams to accelerate AI/ML adoption and platform modernization.
• Develop automation frameworks for AI/ML pipelines, infrastructure provisioning, and operational workflows.
• Lead continuous improvement, automation, and standardization efforts across AI/ML operational ecosystems
• Mentor engineering teams and promote AIOps/MLOps best practices, innovation, and engineering excellence
• Strong Knowledge on embeddings, tokenization, vector databases, and AI/ML model training concepts

Preferred Skills

• Python, MLflow, Model Registry, Experiment Tracking
• Azure DevOps & Azure Cloud
• Azure Machine Learning
• LLMOps / Generative AI operationalization
• AI model deployment and lifecycle management
• AI Gateway and Model Serving architectures
• Azure OpenAI & Azure AI Foundry
• MCP Server implementation and configuration  
• CI/CD Automation & AKS

Soft Skills

• Strong communication and stakeholder management
• Good troubleshooting and problem-solving skills
• Ability to work independently and drive ownership
• Strong collaboration and documentation skills

Job Description: Accounts Executive

Position: Accounts Executive

Location: Bangalore

Department: Finance & Accounts

Key Responsibilities:

At least 1-2 yrs year experience

JV/CN/DN knowledge - Journal Vouchers , Credit note, Debit note

Sound Knowledge of GST & Income Tax/ TDS

Technical Skills:

· Proficiency in SAP Business one for financial and tax management.

· Advanced Excel skills.

· Strong Understanding of Indian GST laws & regulations.

Soft skills

· Excellent analytical and problem solving abilities.

· Strong attention to detail and accuracy.

· Good communication and interpersonal skills.

· Ability to work independently and as part of a team

We are looking for a passionate and experienced Java Developer with over 4 years of hands-on experience in building robust and scalable backend systems using Java, Spring Boot, and Microservices architecture.

Key Responsibilities:

• Design, develop, test, and deploy high-performance, scalable, and secure backend services using Java 8+, Spring Boot, and Microservices.
• Participate in the entire software development lifecycle (SDLC), from requirements gathering to production deployment and support.
• Collaborate with frontend developers, DevOps engineers, and product owners to deliver end-to-end features.
• Optimize application performance and ensure high availability and responsiveness.
• Write clean, maintainable, and reusable code while following best practices (coding standards, unit testing, CI/CD, etc.).
• Develop RESTful APIs and ensure their quality and consistency.
• Handle integration with external systems and third-party services.
• Participate in code reviews, provide constructive feedback, and mentor junior developers.

Technical Skills Required:

• Languages: Java 8 or above
• Frameworks: Spring Boot, Spring MVC, Spring Security
• Architecture: Microservices architecture and design patterns
• Databases: MySQL/PostgreSQL, MongoDB (optional)
• Messaging: Kafka, RabbitMQ (optional)
• API Development: RESTful APIs, Swagger/OpenAPI
• Version Control: Git, GitHub/GitLab
• Tools: Maven/Gradle, Jenkins, Docker
• Testing: JUnit, Mockito
• Cloud (optional): AWS/Azure/GCP exposure
• CI/CD & DevOps tools (optional): Jenkins, Docker, Kubernetes

Nice to Have:

• Experience in containerization and orchestration (Docker, Kubernetes).
• Knowledge of API Gateway, Service Registry (e.g., Eureka), and Circuit Breakers (e.g., Hystrix or Resilience4j).
• Experience with Agile methodologies (Scrum/Kanban).
• Familiarity with monitoring and logging tools (ELK, Prometheus, Grafana, etc.).

MTX Group Inc. is seeking a motivated Human Resource Analytics Specialist to join our team. MTX Group Inc. is a global implementation partner enabling organizations to become fit enterprises. MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization and mobile technology. MTX’s very own Artificial Intelligence platform Maverick, enables clients to accelerate processes and critical decisions by leveraging a Cognitive Decision Engine, a collection of purpose-built Artificial Neural Networks designed to leverage the power of Machine Learning. The MavQ Platform includes Smart Asset Detection and Monitoring, Chatbot Services, Document Verification, to name a few.

Responsibilities:

• Partner with the leadership team to support deliverables for special projects related to firm People Strategy (e.g., diversity, retention, etc.)
•    Frame key issues
•    Design analytic approach to address
•    Execute analysis
• Communicate insights and implications to key stakeholders
• Collects and compiles HR metrics and data from a variety of sources including the human resource information system (HRIS) and payroll outputs, management and employee surveys, exit interviews, employment records, government labor statistics, competitors practices, and other sources.
• Analyzes data and statistics for trends and patterns with attention to recruitment, hiring practices, motivation, turnover, and compliance with employment laws and regulations.
• Prepares reports of data results, presenting and explaining findings to senior leadership.
• Ensures compliance with data privacy regulations and best practices.
• Spearhead innovative analyses to drive business decisions and measure the success of firm programs and initiatives (e.g., analyze exit survey results; analyze key drivers of performance through analyzing the correlation between performance trends and potential drivers; etc.)
• Point of contact and subject matter expert for ad hoc people data and analytics requests
• Partner with firm’s People Functions (Recruiting, Learning & Development, Career Development, Staffing, Core HR, and Career Services) to support ongoing operational analytics efforts (e.g., recruiting funnel analysis; performance trends analysis; hours and staff utilization analysis; developing a model to identify employees eligible for bonus time off; etc.)
• Ensure best practices are followed for data capture and tracking
• Identify data capture and analytics efficiency improvements as the firm scales and grows and collaborate with teams to implement
• Design and service Tableau dashboards and other tools for visualizing data; support functional team usage
• Lead systems assessment and implementation as needs arise (e.g., applicant tracking system, HRIS system, learning management system, etc.)
• Ensure targeted communication and capacity-building programs in the performance management process to enable managers to effectively evaluate and measure individual and team performance and to optimize performance and productivity.

What you will bring:

• 7+ years of experience in an analytical role (HR experience or internal/external consulting experience preferred)
• Experience in related areas such as job classification and compensation, recruitment, selection, training, employee benefits, and/or equal opportunity compliance preferred.
• Ability to manage several projects simultaneously
• Superb analytical skills; hands-on experience analyzing and deriving insight from large datasets
• Expert PPT and Excel skills
• Experience with HRIS
• Excellent communication skills, both written and verbal
• Ability to develop strategic recommendations
• Team-oriented: strong interpersonal skills and ability to work collaboratively with all stakeholders
• Professional and demonstrates integrity at all times

What we offer:

• Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)
• Sum Insured: INR 5,00,000/- 
• Maternity cover upto two children
• Inclusive of COVID-19 Coverage
• Cashless & Reimbursement facility
• Access to free online doctor consultation

• Parent’s Medical Insurance (Optional & Self Sponsored)
• Sum Insured: INR 3,00,000/- for both the parents on a floater basis
• Covers pre-existing disease
• Covers hospitalization due to COVID-19
• Comes with an annual premium cost of Rs.12,996 (including GST) per parent (this is a one-time deduction from the monthly salary)

• Personal Accident Policy (Disability Insurance) -

• Sum Insured: INR. 25,00,000/- Per Employee
• Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
• Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
• Temporary Total Disability is covered

• An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver  benefit
• Monthly Internet Reimbursement of upto Rs. 1,000 
• Opportunity to pursue Executive Programs/ courses at top universities globally
• Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others

***

• Design and Build sophisticated and highly scalable apps using Flutter.
• Build custom packages in Flutter using the functionalities and APIs already available in native Android and IOS.
• Translate and Build the designs and Wireframes into high-quality responsive UI code.
• Write efficient queries for core Data.
• Use of Model-View-Controller (MVC) and Model-View-View Model-Controller (MVVM) as it relates to designing, developing architecture and developing maintainable, testable, and functional software that meets product requirements.
• Explore feasible architectures for implementing new features.
• Suggest space and time-efficient Data Structures.
• Follow the best practices while developing the app and keep everything structured and well documented.
• Use CI/CD for smooth deployment.
• Document the project and code efficiently.
• Manage the code and project on Git in order to keep in sync with other team members and managers.
• Communicate with the Project Manager regarding status of projects and suggest appropriate deadlines for new functionalities.
• Ensure security guidelines are always followed while developing the app.
• Validate the cloud system to ensure any new changes do not compromise the security of the backend server.
• Suggest new features and/or enhancements.
• Consulting with our customer-facing representatives about software system design and maintenance.
• Maintaining software through product lifecycle including design, development, verification and bug fixes.
• Connect regularly with the Quality Assurance Specialist to deliver a stable app.
• Resolve all the bugs reported by the Quality Assurance Specialist in a timely manner.
• Perform time profiling and memory leaks assessment.
• Execute app verification protocol.
• Write tests for the App.
• Following company policies and quality procedures to ensure quality product deliverables.

Position Overview: 

The Engineering Manager will work closely with the management and customers and partners globally. He/She will report to the VP - Engineering. He/She will be responsible for shaping the product and strategizing its delivery around when and how it will be done so. 

The ideal candidate should have prior experience as Engineering Manager in a start-up or Product company, developing an Enterprise SAAS product.

Responsibilities: 

●Lead Product Development, QA and Documentation for multiple client Products 

●Deliver Engineering Product Releases and Patches 

●Provide work break-down and be responsible for all Engineering Team deliverables 

●Interact with team members and ensure timely and successful delivery of each sprint iteration 

●Provide technical guidance, coaching and mentoring to the Engineering Team 

●Be responsible for tools and processes for all Engineering activities 

●Work with Product Management and help shape the product roadmap 

●Work with Services Organization and set the right expectations regarding the product roadmap, delivery of enhancements and patches 

●Define and manage quarterly goals for Engineering Team 

●Manage engineering budget, incentive programs and team-building activities 

●Hire and manage Product Development, QA and Documentation Team members 

The Ideal Candidate: 

●Should have completed a 4-year Engineering degree in Computer Science (preferably) or an advanced degree in a similar stream 

●Should have 10-12 years of experience with at least 2-3 years as an Engineering Manager 

●Must have experience with Containerization, Docker, Kubernetes 

●Should have designed and delivered: 

• Open Source based Enterprise Software 

• Software based on Java, Angular JS, ReactJS, Python, no-SQL databases etc

• Solutions in the Cloud (AWS or Azure or Google Cloud Platform (GCP)) 

●Delivered multiple releases of products using Agile Development 

●Delivered Artifacts like Design/Test-Plan/Documentation-Plan documents 

●Possess Team Management skills: 

• Led Product Development Teams involving UI, Middle-Tier and Database developers, QA and Documentation Teams 

• Delivered performance reviews, and improvement plans to team members 

Desired Skills: 

●Experience having worked at a startup or product development company is an advantage 

What you will do

• Develop high-quality software based on the technical design provided by team lead
• Adherence with software development processes. Demonstrate problem solving skills, and attention to quality and detail
• Perform code reviews and unit testing, validation, and verification testing of program modules
• Develop well managed, high quality, scalable and reusable code using .NET components, web service API’s, database procedures, JavaScript, etc.
• Build automation pipeline (CI/CD) through appropriate tools and scripting
• Debug code, solve incidents and defects. Document unit test plans.
• Adhere toOWASP security standards while coding and regulatory requirements

Who you are

• Experienced Software Developer with 1 to 3 years of total IT experience.
• At least 2 years of development experience with Microsoft technology stack (.Net)
• Good knowledge of software development, agile methodologies, and the following technologies:

C#, http://asp.net/">ASP.NET Core, Web API, HTML/CSS, MVC, WCF, JavaScript, Oracle/SQL Server,AngularJS/ReactJS, Apache Kafka, Mule ESB, Apache Spark, PowerBI, Azure DevOps

• Experience developing highly responsive web and mobile applications (UI/UX) using HTML5/CSS3, W3.CSS, Bootstrap, JavaScript, XML, Xamarin, etc.
• Familiarity with various operating systems (Linux, Mac OS, Windows)
• Hands-on experience in software development and agile methodologies
• Proficiency in relational databases like SQL Server and Oracle. Knowledge of cloud technologies (AWS, Azure, Google cloud), container and virtualization will be a big plus.
• Familiarity with Continuous integration (Azure DevOps/Jenkins/Hudson) and version control (GitHub, SVN). Knowledge of modern frameworks and design patterns, and test automation tools for Unit and Performance testing.
• Experience creating secure RESTful web services in XML and JSON

• We are looking for a skilled React.js Developer to join our front-end development team. In this role, you will be responsible for developing and implementing user interface components using React.js concepts and workflows such as Redux, Flux, and Webpack. You will also be responsible for profiling and improving front-end performance and documenting our front-end codebase.
• To ensure success as a React.js Developer, you should have in-depth knowledge of JavaScript and React concepts, excellent front-end coding skills, and a good understanding of progressive web applications. Ultimately, a top-class React.js Developer should be able to design and build modern user interface components to enhance application performance.

• Meeting with the development team to discuss user interface ideas and applications.
• Reviewing application requirements and interface designs.
• Identifying web-based user interactions.
• Developing and implementing highly-responsive user interface components using React concepts.
• Writing application interface codes using JavaScript following React.js workflows.
• Troubleshooting interface software and debugging application codes.
• Developing and implementing front-end architecture to support user interface concepts.
• Monitoring and improving front-end performance.
• Documenting application changes and developing updates.

• Bachelor’s degree in Computer Science, Information Technology, or a similar field.
• Previous experience working as a React.js Developer.
• In-depth knowledge of JavaScript, CSS, HTML and front-end languages.
• Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.
• Experience with user interface design.
• Knowledge of performance testing frameworks including Mocha and Jest.
• Experience with browser-based debugging and performance testing software.
• Excellent troubleshooting skills.
• Good project management skills.