Digital Marketing Manager

Strong AI & Full-Stack Tech Lead

Mandatory (Experience 1): Must have 5+ years of experience in full-stack development, including Python for backend development and React/JavaScript for frontend, along with API/microservice integration.

Mandatory (Experience 2): Must have 2+ years of experience in leading technical teams, coordinating engineers, and acting as a system integrator across distributed teams.

Mandatory (Experience 3): Must have 1+ year of hands-on experience in AI projects, including LLMs, Transformers, LangChain, or OpenAI/Azure AI frameworks.

Mandatory (Tech Skills 1): Must have experience in designing and implementing AI workflows, including RAG pipelines, vector databases, and prompt orchestration.

Mandatory (Tech Skills 2): Must ensure backend and AI system scalability, reliability, observability, and security best practices.

Mandatory (Company): Must have experience working in B2B SaaS companies delivering AI, automation, or enterprise productivity solutions

Tech Skills (Familiarity): Should be familiar with integrating AI systems with enterprise platforms (SharePoint, Teams, Databricks, Azure) and enterprise SaaS environmentsx

Mandatory (Note): Both founders are based out of Australia, design (2) and developer (4) team in India. Indian shift timings.

• Education: BE/MCA or equivalent.
• Solid experience in software testing, with a combination of development experience being a plus.
• Good knowledge of web and mobile testing principles and techniques.
• Familiarity with various technologies, including Web and Client-Server.
• Good understanding of testing methodologies, such as Waterfall, Agile, and Iterative.
• Competent in functional testing (manual and automation) with a good understanding of basic testing techniques.
• Hands-on experience with testing tools relevant to web and mobile testing (e.g., Selenium, Appium).

About Company

Our client is an integrated workforce management software platform offering intelligent automation for daily work orders management, Housekeeping activities, facility maintenance, scheduling & labour management, and time & attendance purpose built for the hospitality market and other dynamic scheduling environment.

About the job

As an Assistant Manager – Finance & Accounts, you would be responsible for managing Accounts payable, Banking & Payments, Monthly Closing and Reconciliations, Statutory Filings - Audit & Secretarial and other related activities.

Roles & Responsibilities:

• Daily & Weekly review - Vendor bills, employee expense reimbursement & other transactions according to stipulated guidelines.

• Preparation of weekly payment tracker file and weekly payment uploads in different banking portals

• Corporate Card transactions review & reconciliations.

• Maintain Fixed Assets Register.

• Coordinating with Account Executives, Vendors & Internal teams on routine stuff

• Weekly & Monthly bank reconciliations in Intacct for all the 5 entities.

• Petty Cash Management & Payouts.

• Imprest Accounts reconciliations.

• Monthly TDS - transaction verification and payments.

• Accruals and Prepaid Exp Tracker - Booking of accounting transactions & completion of reconciliation statement on monthly basis.

• AP Ageing reconciliation with Trial Balance.

• Inter Company reconciliations – monthly.

• Statutory Monthly & Quarterly Tax Returns - Overseas & India (VAT & GST).

• TDS, GST & VAT Returns - Data validation and coordination with consultants for filing

• Foreign Lability & Assets Report (FLA), MSME Returns, MCA filings, APR filings, ROC and other related filings

• Board Minutes - Data sharing and coordination with consultants.

• Tax Returns filings verification.

• Assistance to Internal teams in Annual Audits.

• Project assigned by Finance Head & Finance Manager.

Requirements:

• Master’s Degree in of Commerce (M. Com)

• 7-9 years of relevant experience

• Robust oral and written communication and presentation skills

• High degree of computer literacy, working knowledge of Microsoft Office suite, especially MS Excel

• Experience in any ERP like Quickbooks, Intacct, Tally, Expensify etc.

• Strong attention to deadlines and detail – ability to handle multiple tasks simultaneously.

Job Description:

As a Machine Learning Engineer, you will:

• Operationalize AI models for production, ensuring they are scalable, robust, and efficient.
• Work closely with data scientists to optimize machine learning model performance.
• Utilize Docker and Kubernetes for the deployment and management of AI models in a production environment.
• Collaborate with cross-functional teams to integrate AI models into products and services.

Responsibilities:

• Develop and deploy scalable machine learning models into production environments.
• Optimize models for performance and scalability.
• Implement continuous integration and deployment (CI/CD) pipelines for machine learning projects.
• Monitor and maintain model performance in production.

Key Performance Indicators (KPI) For Role:

• Success in deploying scalable and efficient AI models into production.
• Improvement in model performance and scalability post-deployment.
• Efficiency in model deployment and maintenance processes.
• Positive feedback from team members and stakeholders on AI model integration and performance.
• Adherence to best practices in machine learning engineering and deployment.

Prior Experience Required:

• 2-4 years of experience in machine learning or data science, with a focus on deploying machine learning models into production.
• Proficient in Python and familiar with data science libraries and frameworks (e.g., TensorFlow, PyTorch).
• Experience with Docker and Kubernetes for containerization and orchestration of machine learning models.
• Demonstrated ability to optimize machine learning models for performance and scalability.
• Familiarity with machine learning lifecycle management tools and practices.
• Experience in developing and maintaining scalable and robust AI systems.
• Knowledge of best practices in AI model testing, versioning, and deployment.
• Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.

Employer:

RaptorX.ai

Location:

Hyderabad

Collaboration:

The role requires collaboration with data engineers, software developers, and product managers to ensure the seamless integration of AI models into products and services.

Salary:

Competitive, based on experience.

Education:

• Bachelor's degree in Computer Science, Information Technology, or a related field.

Language Skills:

• Strong command of Business English, both verbal and written, is required.

Other Skills Required:

• Strong analytical and problem-solving skills.
• Proficiency in code versioning tools, such as Git.
• Ability to work in a fast-paced and evolving environment.
• Excellent teamwork and communication skills.
• Familiarity with agile development methodologies.
• Understanding of cloud computing services (AWS, Azure, GCP) and their use in deploying machine learning models is a plus.

Other Requirements:

• Proven track record of successfully deploying machine learning models into production.
• Ability to manage multiple projects simultaneously and meet deadlines.
• A portfolio showcasing successful AI/ML projects.

Founders and Leadership

RaptorX is led by seasoned founders with deep expertise in security, AI, and enterprise solutions. Our leadership team has held senior positions at global tech giants like Microsoft, Palo Alto Networks, Akamai, and Zscaler, solving critical problems at scale.

We bring not just technical excellence, but also a relentless passion for innovation and impact.

The Market Opportunity

Fraud costs the global economy trillions of dollars annually, and traditional fraud detection methods simply can't keep up. The demand for intelligent, adaptive solutions like RaptorX is massive and growing exponentially across industries like:

• Fintech and Banking
• E-commerce
• Payments

This is your chance to work on a product that addresses a multi-billion-dollar market with huge growth potential.

The Tech Space at RaptorX

We are solving large-scale, real-world problems using modern technologies, offering specialized growth paths for every tech role.

Why You Should Join Us

1. Opportunity to Grow: As an early-stage startup, every contribution you make will have a direct impact on the company’s growth and success. You’ll wear multiple hats, learn fast, and grow exponentially.
2. Innovate Every Day: Solve complex, unsolved problems using the latest in AI, Graph Databases, and advanced analytics.
3. Collaborate with the Best: Work alongside some of the brightest minds in the industry. Learn from leaders who have built and scaled successful products globally.
4. Make an Impact: Help businesses reduce losses, secure customers, and prevent fraud globally. Your work will create a tangible difference.

About Us:

Developed in formal collaboration with the University of Cambridge in May 2000, HeyMath! is an Ed-Tech company whose mission is to Raise the Game in Maths for school systems around the world. We do this using technology to deliver engaging teaching methodologies and personalised learning paths for students. HeyMath! has been successfully adopted by CBSE schools since 2004, with positive outcomes for the entire ecosystem.

Check us out at www.heymath.com

We plan to work mainly from home in 2022 and the virtual office atmosphere is collegiate, informal and friendly, with small high-impact teams making a difference to customers.

What we are looking for:

Experience in building and re-engineering cloud based solutions on AWS.

Strong knowledge of Object Oriented Programming(OOPS) and design patterns is a must. Hands-on development on Spring MVC framework.

Experience working on Java 8 or above.

Must have very good knowledge of RDBMS such as MySQL and performance tuning of the same.

Exposure to server-side and client-side caching mechanisms. Ability to debug the applications and provide instant workable solutions.

Experience working on Elastic Search / Kafka / Kubernetes or all is a nice to have.

• Support and maintain production Cognos web portal to manage the OLAP cube and folders.
• Used various transformations like expression, union, source qualifier, aggregator, router, store procedure, lookup transformations.
• Work on transformations such as source qualifier, joiner, lookup, rank, expression, aggregator and sequence generator etc.
• Work with relational databases like DB2.
• Develop mappings with XML as target and formatting the target data according to the requirement.
• Work with logical, physical, conceptual, star, snow flake schema data models.
• Extract data from flat files, DB2 and to load the data into the SalesForce database.
• Work with various data sources--relational, flat file (fix width, delimitate) and XML.
• Involve in all phases of SDLC from requirements gathering, architecture design, development, testing, and data migration.
• Involve in all phases of SDLC - requirement gathering, design, development, testing and implementation and post-production support.
• Involve in writing PERL scripts for file transfers, file renaming and few other database scripts to be execute from UNIX.
• Create functional and technical mapping specifications and documentation for QA team.
• Support implementation and execution of MAPREDUCE programs in a cluster environment.
• Maintain data integrity during extraction, manipulation, processing, analysis and storage.
• Migrate repository objects, services and scripts from development environment to production environment.

• Generating leads by identifying Specific Building Material Manufacturers / Suppliers.
• Meeting or exceeding sales goals.
• Negotiating contracts with prospective clients.
• Preparing weekly and monthly reports with respect to a number of calls, meetings & conversions.
• Giving sales presentations to a range of prospective clients.
• Coordinating sales efforts with marketing programs.
• Obtaining deposits and balance of payment from clients.
• Preparing and submitting sales contracts & following up fulfillment.
• Visiting clients and potential clients on a timely basis to ensure Customer Satisfaction & Subscription Renewals.
• Dual Reporting to Magnate + TSB management at regular intervals and/or when called for.

Candidate Pre Requisites & Qualification Criteria.

• Any Bachelors / Masters Degree with Min Exp of 2 years in Corporate Sales.
• Candidates with their Own Vehicle & Laptop will be given preference.
• Strong WiFi Connection at Residence in case of Future Lockdown(s).
• Candidate must be willing to travel Intra State & Inter-State to Unlock Sales Possibilities.
• Candidates from Real Estate / Building Materials / Concept Selling Backgrounds will be given preference.