Relationship Manager

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

EXCITED ABOUT YOUR TASKS?

● Liaise with clients to understand role requirements in order to source the most suitable

candidates

● Source, screen and compile a shortlist of qualified candidates for various technical roles

● Screen the candidates to ensure we put forward the best quality candidates to clients

● Recruit senior IT profiles, with a focus on functional expertise

●Communicate with hiring managers in order to understand vacancy requirements fully

● Establish a strategy in order to deliver suitable candidates on time

● Build and develop relationships with both clients and candidates to provide a high level of client and candidate service

● Connect and coordinate with external vendors to support hiring needs

● Serve the business at a very deep and high touch level

WHAT WILL YOU NEED TO SUCCEED?

● 1 year of full life-cycle IT Recruiting Experience, in either an agency or corporate setting

● Familiarity with different selection methods (screening, interviews, assignments)

● Excellent follow-up skills and ability to work independently and collaboratively in a hands-on, fast-paced environment with a high degree of ambiguity

● Must have Strong Knowledge of IT Technologies and skills

● Experience in handling multiple vendors.

● Great interpersonal and communication skills

● MBA in human resources or similar relevant field

Immediate Joiners preferred

Job Title: Openshift Engineer

Location: Navi Mumbai (CBD Belapur)

Employment Type: Full-time

(Payment Aggregator Project) A Leading Bank

Experience Required: 5+ years

Work Schedule: Alternate Saturdays working

Relocation: Candidates from across India are welcome to apply, but relocation to Navi Mumbai and office presence is required.

Must Have Skills:

5 to 12 years of experience working with OpenShift, Kubernetes, Docker, and related container technologies.

Strong expertise in CI/CD tools such as Jenkins, GitLab CI, or similar.

Proficiency in scripting languages like Bash, Python, and experience with configuration management tools (e.g., Ansible, Chef, Puppet).

Experience deploying and managing cloud-native solutions and familiarity with cloud platforms (AWS, Azure, Google Cloud).

Excellent problem-solving skills with the ability to troubleshoot complex issues and work effectively in a fast-paced, dynamic environment.

Good to Have Skills:

Familiarity with banking industry standards and compliance requirements (e.g., PCI-DSS, SOX, GDPR).

Experience working in payment aggregator or financial technology (FinTech) projects.

Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or similar.

Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.

Strong communication and teamwork skills, with experience working in cross-functional, Agile teams.

Note: This role requires willingness to work alternate Saturdays as part of the project requirements.

• Recognizes and seizes opportunities to contribute to agency new business
• Build product GTM narrative, and clearly explain products, value proposition, commercial and engagement model
• Organize Product trainings and roadshows across agencies
• Accountable for maintaining a positive relationship with Media agency, and providing clear lanes of communication and support
• Responsible for development of direct reports
• Establish regular check-ins with key stakeholders
• Understand who and when to pull in Tech Product team to support client-direct conversations, and more specific requests
• Manage & prioritize incoming requests from agencies
• Partner with business stakeholders to define product application & usage goals and working to ensure solutions are properly integrated, applied, and activated
• Provide feedback to product team share client & agency specific feedback, areas for improvement, opportunities, etc.
• Display strong consulting and collaboration skills
• Exhibits enthusiasm for clients’ business and industry. Maintains leading edge of knowledge of clients’ business and industry

• 10+ years of experience, ideally in a digital or media agency or consultancy
• Strong knowledge of leading data and technology tools
• Excellent written and verbal communication skills, including demonstrated ability to create and deliver professional presentations and customer deliverables requiring little review/input from others.
• Strong attention to detail, excellent organization skills, and ability to manage multiple projects
• Demonstrable track record of success in operations and client engagement in a cross-functional environment, including product, tech, or media.
• Has deep knowledge and experience with paid media agencies

Job Description:

• 3 - 4 years of hands-on Python programming & libraries like PyData, Pandas
• Exposure to Mongo DB
• Experience in writing Unit Test cases
• Expertise in writing medium/advanced SQL Database queries
• Strong Verbal/Written communication skills
• Ability to work with onsite counterpart teams

BI Head

Exp – Minimum 5+ years

Location Kota

The prospective candidate will be a key pillar standing between business and customers, translating data findings, challenges and processes into data driven product features. S/He will work on a daily basis in a skilled and awesome cross-functional team that will be developing and maintaining the product. S/He will assist the Product Owners and Mobile app business by interpreting internal and external data, providing insights and analytical support to drive customer acquisition, retention, business process, product marketing, on-going and new initiative decisions. S/He is expected to have a holistic analytics overview of the product and all the connected databases.

-   Own the overall design and support of the BI technology environment, including information acquisition, management, warehousing and delivery solutions.

-    Promote and facilitate the development of self-service capabilities for the business in the access and reporting of business information.

-    Setting up & monitoring the Mobile app KPIs to increase the usage and customer engagement

-    Configuring analytical solutions (e.g. Google Analytics) & analyzing insights to support the mobile app product and business strategy

-    Working with management to prioritize business and information needs.

Desired Skills :

- Team handling experience is must

- Candidate should be able to understand the requirement and works accordingly

- Graduate/PostGraduate in Engineering, BS in Mathematics, Economics, Computer Science, Information Management or Statistics

- Must have at least 4+ years of total work experience, + 3 years in data analytics in any e-commerce/marketing organization.

- Prior experience in data analytics in Fintech-Lending/ B2C /Mobile commerce /e-commerce company

- Strong knowledge and experience of reporting packages like Business Objects, databases like SQL.

- Experienced in analyzing customer behavior and large datasets generated by mobile app events

- Should have strong agility, proactive, drive forward and can-do attitude

- Must have strong communication, interpersonal and analytical skill