Power BI 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.

Job Title

Techno‑Commercial Application Engineer

Location

Rabale, Head Office

Job Purpose

Serve as the bridge between internal sales teams and external stakeholders by interpreting technical requirements, crafting optimal techno-commercial proposals, handling bids/tenders, and supporting both pre- and post-order phases.

Key Responsibilities

• Review P&IDs, process specs, and tender documents to determine technical feasibility.
• Select appropriate product/models that align with customer specs (e.g., valves, instrumentation).
• Develop comprehensive techno-commercial proposals, including scope, costing, pricing, and terms.
• Manage bid submissions (including e-tendering), maintain enquiry/offer registers, and ensure timely delivery.
• Address technical and commercial customer queries effectively.
• Liaise with customers, EPCs, channel partners, and internal teams (Sales, Application, Engineering) throughout the project lifecycle.
• Provide post-order support, technical clarifications, and ensure order alignment with quotation.

Qualifications & Experience

• BE in Instrumentation, Mechanical, or Chemical Engineering.
• 3–5 years in a techno-commercial or application engineer role, ideally in oil & gas, valves, instrumentation, or industrial automation tcsion.com+5apna.co+5recooty.com+5shine.com+1talentify.io+1.

🔧 Required Skills

Technical

• Proficiency in reading and interpreting P&IDs and process diagrams.
• Product selection and sizing (e.g., pressure regulators, instrumentation valves) shine.com+1talentify.io+1.
• Strong MS Office skills, familiarity with CAD (AutoCAD/SolidWorks) and CRM/ERP systems (e.g., SAP, Salesforce).
• Tender preparation and e‑tendering.

Commercial

• Techno‑commercial proposal drafting and cost estimation.
• Pricing analysis, margin calculation, and commercial negotiations.
• Enquiry and offer register management, bid timeline coordination.

Soft Skills

• Excellent verbal and written communication.
• Customer-focused relationship-building.
• Analytical thinking and problem-solving.
• Strong organizational skills and attention to detail.
• Team collaboration ability and self-discipline.

Urgently Hiring Node.js Backend Developer for our IT company Logical Softtech, Indore(M.P)

Job Location : Indore ( work from Office)

Experience needed : minimum 6 months needed

******

1) Node.js Backend Developer must have expertise in developing database with mongo db, backend, admin panel , web services, rest api, crude operation.

2) Must have expertise in cloud hosting, maintaining all server-side network components, command prompt.

3) Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.

4) Can work individually or in a team , immediate joiner

5) Any other MERN / MEAN /PHP framework knowledge will be added plus

*****

Company Name: JNJ TECHNOLOGIES & SERVICES Job Profile: BDE Job Description We're seeking a qualified sales executive to sell annual car and bike subscription products that our customers have grown to rely on. The sales associate will utilize their skills to generate high-quality leads, build strong relationships with customers, and close deals. The ideal candidate has skills and demonstrates the ability to showcase our offerings compellingly. Requirement & Skills Bachelor’s degree in Business, Marketing, or related field Strong verbal and written communication A drive to seek new business Excellent telephone skills Highly organized Experience: 2 - 3 years Job Location: Work from home Selection process:- HR round & Manager round Qualification: Graduation Working days: 6 working days (Sundays off) Shifts: 10:00am - 7:00pm Mandatory language: English/Hindi Laptop: candidates are to use their own laptops. Additional Compensation: If applicable, this will be decided on the basis of your designation

Job Summary:

We are seeking an experienced and results-driven Sales Manager to lead our sales efforts in the USA region. As a Sales Manager, you will be responsible for building a GTM playbook, driving revenue growth, building strong customer relationships, and expanding our market presence in the USA. You will work closely with the executive team to develop and execute effective sales strategies, manage a high-performing sales team, and achieve ambitious sales targets. 

Responsibilities:

Develop and implement a strategic sales plan to achieve sales targets and drive revenue growth in the USA region.

Identify and target key prospects, build and maintain a robust sales pipeline, and effectively manage the entire sales process from lead generation to closing deals.

Build strong relationships with key decision-makers, stakeholders, and potential clients to understand their needs and position Upcred.ai's solutions effectively.

Lead and manage a sales team, providing guidance, coaching, and support to ensure individual and team success.

Monitor market trends, competitive landscape, and customer feedback to identify business opportunities and drive product enhancements or new product development.

Collaborate closely with cross-functional teams, including marketing, product management, and customer success, to align sales efforts and ensure a seamless customer experience.

Prepare and deliver compelling sales presentations, proposals, and contract negotiations to secure new business.

Track sales performance, analyze sales data, and generate regular reports for management, providing insights and recommendations for improvement.

Represent Upcred.ai at industry events, conferences, and networking opportunities to build brand awareness and generate new leads.

Requirements:

Proven track record of success in sales, with at least X years of experience in a B2B sales role within the financial technology or software industry.

Deep understanding of the financial technology industry, particularly in credit assessment and lending solutions.

Strong network of contacts within the financial industry, including banks, credit unions, and lending institutions in the USA.

Experience in managing and leading a sales team, with a track record of achieving sales targets and driving team performance.

Excellent communication, negotiation, and presentation skills, with the ability to effectively convey complex ideas to clients and stakeholders.

Results-oriented mindset with a focus on customer satisfaction and business growth.

Proactive, self-motivated, and able to thrive in a fast-paced, dynamic environment.

Willingness to travel within the USA as needed.

Benefits:

Competitive salary and attractive ESOPs structure.

Comprehensive benefits package, including health insurance, retirement plans, and vacation time.

Opportunity to work with a talented and passionate team in a collaborative and inclusive work environment.

Chance to be part of a fast-growing fintech company and make a significant impact in the industry.

Access to ongoing professional development and growth opportunities.

Skills and requirements

• Experience analyzing complex and varied data in a commercial or academic setting.
• Desire to solve new and complex problems every day.
• Excellent ability to communicate scientific results to both technical and non-technical team members.

Desirable

• A degree in a numerically focused discipline such as, Maths, Physics, Chemistry, Engineering or Biological Sciences..
• Hands on experience on Python, Pyspark, SQL
• Hands on experience on building End to End Data Pipelines.
• Hands on Experience on Azure Data Factory, Azure Data Bricks, Data Lake - added advantage
• Hands on Experience in building data pipelines.
• Experience with Bigdata Tools, Hadoop, Hive, Sqoop, Spark, SparkSQL
• Experience with SQL or NoSQL databases for the purposes of data retrieval and management.
• Experience in data warehousing and business intelligence tools, techniques and technology, as well as experience in diving deep on data analysis or technical issues to come up with effective solutions.
• BS degree in math, statistics, computer science or equivalent technical field.
• Experience in data mining structured and unstructured data (SQL, ETL, data warehouse, Machine Learning etc.) in a business environment with large-scale, complex data sets.
• Proven ability to look at solutions in unconventional ways. Sees opportunities to innovate and can lead the way.
• Willing to learn and work on Data Science, ML, AI.

• Tie up with Pharmacies for execution of customer orders   
• Get company agreement signed by pharmacies in specified timelines.  
• Train Pharmacies on the process for receiving, processing and execution of App orders  
• Coordinate with call centre team for resolving execution issues of partner pharmacies  
• Manage payment settlement with partner pharmacies  

• Ensure timely submission of reports by partner pharmacies like GMV, product wise sale report, etc.