Sales Executive

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.

• Experience in Core Java 5.0 and above, CXF, Spring. 
• Extensive experience in developing enterprise-scale n-tier applications for financial domain. Should possess good architectural knowledge and be aware of enterprise application design patterns. 
• Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications. 
• Good Experience into Microservices , Data structures , Oops , Algorithms, multithreading etc 
• Good development experience with RDBMS, preferably Sybase database. 
• Good knowledge of multi-threading and high-volume server-side development. 
• Experience in sales and trading platforms in investment banking/capital markets. 
• Basic working knowledge of Unix/Linux. 
• Experience into High /Low level designing. 
• Excellent problem solving and coding skills in Java. 
• Strong interpersonal, communication and analytical skills. 
• Should have the ability to express their design ideas and thoughts. 

Role Description:

As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable.

Roles & Responsibilities:

• Developing and implementing machine learning models and algorithms to solve complex business problems
• Conducting data analysis and modeling using statistical and data analysis tools
• Collaborating with other teams to ensure the consistency and integrity of data
• Providing guidance and mentorship to junior data science and modeling specialists
• Presenting findings and recommendations to stakeholders

Technical Skills

Skills Requirements:

• Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis.
• Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning.
• Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL.
• Understanding of big data technologies such as Hadoop, Spark, or Hive.
• Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner.
• Must understand the company's long-term vision and align with it.
• Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team.

Qualifications

• 4-6 years of work experience in relevant field
• B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Roles and Responsibilities:-

1. Developing, generating, and growing new digital marketing business

2. Creating innovative online marketing sales plans

3. Exhibiting expertise in digital marketing solutions

4. Selling services like SEO, SEM, PPC, social media, online reputation management, etc. (for the

US and Canada locations)

5. Maintaining accurate and up-to-date pipeline and forecasts

Desired Candidate Profile:-

1. The position demands an entrepreneurial-minded individual with high energy and a strong motivation to sell (we like increasing numbers)

2. A strong candidate will have excellent sales and closing skills

3. Strong organizational skills and ability to handle multiple tasks and priorities

4. Demonstrated time management skills

5. Knowledge of digital marketing/SEO services will be a plus

6. Excellent communication skills

About Graygraph Technologies:

Graygraph Technologies LLC is an IT services provider company that has skills and expertise to facilitate complex business solutions. We offer services like staffing solutions, software development, web development, Content Management Solutions, and Creative Design from the very beginning until the end. Our overall process includes concept, design, development, incorporation, and implementation. We have a squad of experts, who are working on modern technologies and tools with vast experience to carry out web-based projects.

To know more, please visit our Websites:

www.Graygraph.com

www.DigitalGuider.com

Why should you join us

· Fixed working timings- 5 days working

· Attractive Incentives

· Young & Vibrant work culture

Job Location: Block A-128, Sector-63, Noida

Salary Package: Depends on skills

Working Days: Monday to Friday

Shift: Night Shift

About TechWeirdo:

Techweirdo delivers secure enterprise solutions from SaaS to On-Premise, anywhere, from Application to AI. We offer consultation, services and products to holistically address the digital transformation goals of the enterprises. 

Skills/ Role Requirements:

• Strong hands-on experience of Django REST framework
• Experience in working in a dockerized environment
• Implementation knowledge of scalable microservices architecture
• Experience in using celery
• Domain-driven design principles
• Strong SQL skills
• Ability to deploy a python backend on production in a dockerized environment with Nginx and Gunicorn
• Experience in integrating ML models in Django or Flask is a plus
• Experience with AWS services like S3, API gateway, SES, SQS, SNS, Aurora, Dynamo is plus
• Knowledge of lambda and cloudformation are plus
• Knowledge of React is plus

Working with TechWeirdo be like:

• Surrounded by curious learners: With a Growth Mindset as our core strength, we created a learning environment with curious tech learners.
• New challenges every day: There is no ordinary day at TechWeirdo, if you like solving problems, then this is the right place for you.
• Zero micro-management, limited supervision: We encourage our team to take on challenging tasks and solve complex problems by taking ownership of their tasks. We trust our team to take calculated risks.
• Great networking: You will be connected with c-suite executives of top organizations while working with our winning team.
• Building technology how you want, when you want: We welcome people who see things differently as they are the one who has ability to change the world.
• Being heard in every meeting: At TechWeirdo, suggestions are encouraged, initiatives are supported, and opinions and perspectives are valued.

• Responsible for making specialized plans and procedures for different offices and the IT groups, creating answers for the location of any far-reaching issues, and making their procedures progressively effective.
• Providing training to other junior developers and managing them to process tasks efficiently
• Work with various internal offices, including promotions, project improvements, and tasks to ensure that Salesforce status supports internal requirements by identifying usefulness and fulfillment.
• Application development for other peer developers
• Responsible for updating and making changes to already existing applications or making new ones according to client needs.

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.