Sales Head

Job Summary 

We are looking for an experienced Technical Project Manager with 6–7 years of experience in software project management. The ideal candidate should have strong expertise in Agile methodologies, Jira administration, sprint planning, release management, stakeholder communication, and team leadership. The candidate will be responsible for driving end-to-end project execution, ensuring timely delivery of high-quality software releases, and coordinating with cross-functional teams and customers.

Key Responsibilities  

• Lead and manage multiple software development projects from initiation to production release.
• Configure and administer Jira projects, workflows, dashboards, boards, permissions, and reports.
• Manage Agile ceremonies including sprint planning, daily stand-ups, sprint reviews, retrospectives, and backlog refinement.
• Define, implement, and continuously improve Agile sprint management processes.
• Monitor project progress, identify risks, and ensure timely mitigation.
• Plan, coordinate, and execute production releases with zero or minimal downtime.
• Ensure on-time delivery of software releases while maintaining quality standards.
• Publish regular project status reports, release updates, and performance metrics to stakeholders.
• Collaborate closely with Product Managers, Developers, QA teams, DevOps, Customers, and Business stakeholders.
• Track project KPIs, software metrics, team velocity, and resource utilization.
• Drive issue resolution by coordinating with internal teams and customers.
• Handle customer escalations and ensure prompt resolution of production issues.
• Facilitate cross-functional communication and maintain project documentation.
• Mentor and manage project teams to achieve delivery excellence.

Required Skills  

• 6–7 years of experience in Technical Project Management within software development.
• Strong hands-on experience in Jira configuration and administration.
• Excellent knowledge of Agile/Scrum methodologies and Sprint Management.
• Experience in release planning, production deployment, and release governance.
• Strong understanding of SDLC and software delivery lifecycle.
• Experience in project planning, estimation, resource allocation, and risk management.
• Ability to monitor project health using software metrics and reporting dashboards.
• Strong stakeholder management and communication skills.
• Experience in handling customer-facing projects and production support.
• Excellent leadership, problem-solving, and decision-making abilities.
• Ability to manage multiple projects simultaneously in a fast-paced environment.  

Design and implement an event-level media recommendation engine.

Build candidate recall based on event, venue, time phase, GPS range, media status, and audience type.

Implement visual similarity recall using image embeddings such as SigLIP.

Work with vector search engines such as Qdrant.

Design ranking scores based on freshness, geo distance, event phase, image quality, popularity, and user behavior.

Build recommendation logs for impression, click, dwell time, like, save, share, download, and group join.

Help design attribution analysis and feedback loops for continuous recommendation improvement.

Integrate the recommendation service with our Node.js backend and Flutter app.

Build APIs for feed ranking, similar media search, media upsert, and interaction tracking.

Help us move from rule-based ranking to data-driven ranking as usage grows.

Role Description

We are seeking a full-time AI Developer specializing in Generative AI and Large Language Models (LLMs) to join UpSolve Solutions in Mumbai. This client-facing, on-site role involves designing, developing, and deploying AI models, specifically focusing on GenAI and LLMs. The AI Developer will leverage expertise in machine learning, natural language processing, and data science to build cutting-edge AI solutions that drive business innovation and solve complex challenges.

Qualifications

• Expertise in Generative AI and Large Language Models (LLMs)
• Strong background in machine learning algorithms, natural language processing, and predictive modeling
• Proficiency in programming languages such as Python
• Expertise in GCP, AWS or Azure
• Experience with large-scale data processing and model training
• Excellent problem-solving, critical thinking, and analytical skills
• Ability to work with complex datasets, perform data preprocessing, and optimize AI models
• Strong communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders
• Bachelor's or Master’s degree in a relevant field (e.g., Computer Science, Artificial Intelligence, Data Science)
• Experience with video and text analytics is a plus

MUST-HAVES: 

• Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
• Notice period - 0 to 15 days only 
• Hybrid work mode- 3 days office, 2 days at home

SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS

ADDITIONAL GUIDELINES:

• Interview process: - 2 Technical round + 1 Client round
• 3 days in office, Hybrid model. 

CORE RESPONSIBILITIES:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

SKILLS:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

REQUIRED EXPERIENCE:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sage maker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

The Cloud Engineer will design and develop the capabilities of the company cloud platform and the automation of application deployment pipelines to the cloud platform. In this role, you will be an essential partner and technical specialist for cloud platform development and Operations. 

Key Accountabilities 

Participate in a dynamic development environment to engineer evolving customer solutions on Azure. Support SAP Application teams for their requirements related to Application and release management. Develop automation capabilities in the cloud platform to enable provisioning and upgrades of cloud services. 

Design continuous integration delivery pipelines with infrastructure as code, automation, and testing capabilities to facilitate automated deployment of applications. 

Develop testable code to automate Cloud platform capabilities and Cloud platform observability tools. Engineering support to implementation/ POC of new tools and techniques. 

Independently handle support of critical SAP Applications Infrastructure deployed on Azure. Other duties as assigned. 

Qualifications 

Minimum Qualifications 

Bachelor’s degree in a related field or equivalent experience 

Minimum of 5 years of related work experience 

PREFERRED QUALIFICATIONS 

Supporting complex application development activities in DevOps environment. 

Building and supporting fully automated cloud platform solutions as Infrastructure as Code. Working with cloud services platform primarily on Azure and automating the Cloud infrastructure life cycle with tools such as Terraform, GitHub Actions. 

With scripting and programming languages such as Python, Go, PowerShell. 

Good knowledge of applying Azure Cloud adoption framework and Implementing Microsoft well architected framework. 

Experience with Observability Tools, Cloud Infrastructure security services on Azure, Azure networking topologies and Azure Virtual WAN. 

Experience automating Windows and Linux operating system deployments and management in automatically scaling deployments. 

Good to have:

1) Managing cloud infra using IAC methods- terraform and go/golang

2) Knowledge about complex enterprise networking- LAN, WAN, VNET, VLAN

3) Good understanding of application architecture- databases, tiered architecture

Role & Responsibilities:

• Strong Microsoft Dynamics CRM product experience, ideally with CRM 2016 or 365.
• Have been involved in the delivery of at least five Microsoft Dynamics CRM projects.
• 4+ Years of custom development experience in Microsoft Dynamics CRM/365.
• 3+ Years of experience in .NET, C#, ASP.NET & JavaScript programming.
• Proven experience in consulting on software products, business analysis &requirements gathering.
• Proficiency in developing plug-in & workflow assemblies.
• Experienced in developing .NET web services & web API applications.
• Understanding of SQL Server 2016. Able to customize CRM forms, views, workflows, business rules, charts, & dashboards.
• Knowledge of CRM usage in Browsers, Outlook, Tablet & Mobile Applications.
• Knowledge of Power Automate and Azure is a plus but not mandatory.
• Hands on experience with Team Foundation Server. Responsibility :
• Implementing & extending Dynamics CRM software & inspiring its use within the business environment, advising on best practices to ensure its features are utilized to their fullest.

• Building and sustaining long-lasting relationships with existing and potential clients.
• Conducting research on potential clients' products or services and determining the geographic location of the majority of their target customers.
• Setting up meetings with potential clients to present advertising proposals and address their concerns.
• Assisting the marketing team in the preparation of media kits and promotional plans.
• Attending sales meetings, trade shows, and training workshops as required.
• Persuading clients to purchase company advertising products and services by communicating the benefits of various types of advertising.
• Providing recommendations on suitable formats, advertising mediums, and font sizes.
• Preparing sample advertisements for clients.

About SATISFIC
Satisfic is focused on the areas of the IT channel marketing. As the channel catalyst, we connect and empower technology suppliers, solution providers and end-users. Headquartered in Singapore and with teams across key countries in APAC, Satisfic leverages its regional service delivery capabilities to help IT channel succeed and grow. 

Please visit our site at http://www.satisfic.com">www.satisfic.com for further details.

What you will be doing:

• SATISFIC is a product-based company; hence will be required to work on product development and support.
• Need work on the following technologies – Angular, Core Web API and PostgreSQL.
• SATISFIC’s product is hosted in AWS. This will provide you with an opportunity to work on the latest cloud technologies
• Coding computer programs.
• Support day to day software development activities as assigned by Software Engineering Leader/Manager.
• Timely completion of daily assigned projects as per requirements
• Complete adherence to all metrics and parameters associated with each project through completion of project.
• Effective Time management.
• Mentor and assist Trainee/ Junior Software Engineers to complete assigned tasks.
• Completing assigned projects on time within set quality parameters.
• Check coding standards and deliverables against each project/product specifications for their own and their junior engineers before delivery.
• Develop module specification documents for internal purpose.
• Ensure compliance/closure of Regulatory and Quality requirements before approving Design Outputs/Program Deliverables.
• Lead continuous improvement activities by driving the implementation of process and product quality improvement initiatives.
• Develop innovative solutions that improve the efficiency and reliability of the deliverables and system.

About your experience:

• 3-4 years of proven experience in Angular 2 or higher, typescript and web mark up.
• Proficiency with building responsive web application with HTML 5, CSS and related frameworks (Bootstrap, Materialize)
• Proficient in CSS, HTML, and writing cross-browser compatible code.
• Knowledge & experience to user REST APIs using JSON data and best practices related to their implementation.
• Knowledge & Experience in Node JS
• Firm grasp of UI/UX principles, ability to convert UX designs into deliverables.
• Knowledge of JavaScript MV-VM/MVC frameworks including AngluarJS.
• Strong interpersonal and communication skills
• Strong analytical abilities
• Project and time management skills
• Quick learner with a positive attitude

Qualifications:

• Master’s / Bachelor’s degree in Computer Science, Software engineering or related area from a good institute is preferred

Reports to: Lead – Software Engineering