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Making An Impact

Intellify works solving diverse business problems using cutting-edge technologies. Join us to be a part of the future!

Company Culture

  • Highly fulfilling and challenging work
  • Open door policy of sharing thoughts
  • Support and guidance by highly experienced industry professionals
  • Regular training for employees
  • Flexible work timings
  • A work culture that is open and casual yet responsible

OPEN POSITIONS

Power BI Analyst

Job Description:

You will be involved during end to end implementation including Requirement Analysis, Data Model Design, Development and Testing.

  • Overall 2-5 years of experience with min 1 – 3 years of experience in developing reports and dashboards in Power BI 
  • Good knowledge of DAX, Advanced DAX, MDX and M
  • Integration of Custom visuals
  • Excellent Database Design skills
  • Strong SQL Skills (Stored Procedures, Queries, Functions etc.)
  • Knowledge of Power Pivot, Power View, Power Query
  • SSAS Tabular/Multi-Dimensional cube experience is advantage
  • Familiarity with Data Integration and testing

Nice to have:

  • Knowledge of R
  • Development of Custom Visuals
  • Implementation and Administration of Power BI Service

Additional Skillsets Desired:

  • Excellent communication skills, ability to work remotely and lead on projects independently
  • Should be flexible to work with International Clients spread across different time zones
  • Should be Proactive
  • Good Visualization and Analytical Skills (Tableau and Power BI requirement)
  • Good Analytical skills – Ability to analyze data from various reports/data sources

Education:

  • BE in (CS or IT) or B.Tech. (CS or IT) or Master of Computer Science (MCA or MCS)

Relevant Experience:

  • 2 – 5 years
Data Solutions Architect

Job Description:

A Data Solution Architect will be to coordinate end-to-end activities associated to Data Provisioning including Collaborating closely with partners; performing risk assessment associated to data-sharing.

Qualification: Bachelors in Data Science or IT related field or equivalent professional experience.

 

Must have Tools Experience: Azure Synapse, Azure Data warehousing, SSIS, SSAS, Microsoft Fabric

 

Nice to Have Tools Experience: Big Query, AWS Red Shift, Talend

Experience: 10 to 12 Years

Roles and responsibilities

  • Prepare a design for all metadata relating to various Extract/Transform/Load (ETL) processes
  • Craft comprehensive data migration plans that encompass mapping data between the source and target systems, validating data quality, ensuring its integrity, and overseeing the safe and accurate transfer of data.
  • Designing solutions to integrate data from various sources within the organization. This involves ensuring that data from different systems can be combined and used cohesively.
  • Work with the Data Provisioning team and other partners to eliminate blockers.
  • Ensure data sharing standards and requirements are met, bringing in other specialists where clarifications are required.
  • Conduct troubleshooting on all ETL processes and effectively resolve any issues
  • Support the Data Provisioning team in considering ways to improve processes and value our customers.
  • Contribution in acquisition of data from source system to target system.
  • Work on the proposals and provide with the right solution architecture based on the customer problem statement

Skills And Qualifications

  • The ability to analyze and present statistical information
  • Must have a broad understanding of Data Modeling, SQL and ETL, including practical experience with at least one ETL tool, such as SSIS.
  • Programming experience in Python, Java, or Scala Preferred3
  • Experience with database management software
  • Good communication and teamwork skills.
Senior Data Engineer (Modeler)

Job Description:

A Data modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional databases. These solutions support enterprise Information Management, Business Intelligence.

Experience: 4 to 6 Years

Qualification: Bachelor’s or master’s degree in computer/data science technical or related experience.

Must have Tools Experience: SSAS, Power BI Model Building, DAX, Mongo DB, Rest API integration

Roles and responsibilities

  • Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization & analytics).
  • Experience having worked in Mongo DB.
  • Evaluating existing data systems.
  • Analyzing and translating business needs into long-term solution data models.
  • Developing best practices for data coding to ensure consistency within the system.
  • Reviewing modifications of existing systems for cross-compatibility.
  • Evaluating implemented data systems for variances, discrepancies, and efficiency.
  • Troubleshooting and optimizing data systems.

Skills And Qualifications

  • Proficiency in data modeling tools.
  • Experience in designing and implementing database structures
  • Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
  • Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.
  • Ability to collaborate with cross-functional teams to gather and analyze data requirements
  • Knowledge of data warehousing and ETL processes
  • Knowledge of Rest API integration and consumption of service
Technical Writer

Job Description:

A Technical Writer is responsible for generating innovative ideas for content while working both independently and collaboratively as part of a team.

Qualification: Bachelor’s degree in BA, MA or computer science, Computer Engineering, Information Technology or related field

Experience: 4 Years

Roles and responsibilities

  • Write developer guides, tutorials, concept guides, and other documentation for topics that use APIs.
  • Generate high-quality, creative, and engaging content for various projects and campaigns.
  • Collaborate with content strategists and other team members to develop content briefs.
  • Continuously refine and enhance content to produce compelling and original text aligned with brand tone and messaging.

Skills And Qualifications

  • Experience in working with engineering team to improve, refine content, and create visuals and diagrams for technical support content.
  • Experience using and documentation publishing software, such as MadCap, RoboHelp, or Wikis would be plus.
AEM Developer
  • Experience with Adobe Experience Platform (AEP): 
    • Understanding of how AEP integrates with AEM for enhanced data management, customer profiles, and personalized content delivery.
  • Cloud Services:
    • Proficiency with Adobe Experience Platform Cloud services and other cloud-based infrastructures.
    • Experience with cloud-native development and deployment practices.
  • Analytics and Insights:
    • Utilize Adobe Analytics and Adobe Target for data-driven decision-making.
    • Implement and optimize analytics frameworks within AEM to track and improve user engagement and content performance.
    • Adobe Data Collection is a module within AEP that brings together Adobe Analytics, Target and AEM. 
  • Security and Compliance:
    • Ensure all AEM implementations meet security and compliance standards.
  • DevOps and CI/CD:
    • Experience with continuous integration and continuous deployment (CI/CD) pipelines.
    • Implementing DevOps practices to streamline development, testing, and deployment processes.
    • With Microsoft engagement we leverage Azure DevOps and would like to preference candidates with expertise in this tool
  • Collaboration and Communication:
    • Strong collaboration skills to work with cross-functional teams, including data scientists, AI specialists, and UX designers.
    • Excellent communication skills to articulate technical concepts to non-technical stakeholders.

Good to have skills

  • Security and Compliance
    • Familiarity with data privacy regulations and practices, especially concerning user data processed through AI models.
    • Data privacy is a high priority with continued development of compliance regulations that are rolling out and the growing demand for personalization from enterprises
  • AI and Machine Learning Integration:
    • Knowledge of Natural Language Processing (NLP) and Large Language Models (LLMs).
    • Experience integrating AI models into web applications, particularly for content recommendations, personalization, and automated customer service solutions.
  • Certifications
    • Ideally Azure experience as we are currently focused on our Azure Data and AI certifications at Wimmer Solutions
AI/ML Engineer

Position: Prompt Engineer/ LLM Apps Developer

Job Description:

  • Strong foundation in machine learning concepts and techniques
  • Design and develop prompts for various applications, including text generation, translation, question answering, and creative writing, image generation
  • Experience in integrating LLMs into applications, platforms, or services.
  • Collaborate with product teams, data scientists, and engineers to understand user needs and translate them into effective prompts.
  • The AI Engineer would complement the AEM Developer well in building out our LLM App/Web Components.
  • Ensure models are developed with ethical considerations in mind, actively working to identify and mitigate biases.
  • Conduct experiments and benchmarking to assess the performance of various model architectures and optimize hyperparameters.
  • Maintain a meticulous approach to detail and accuracy, ensuring that LLM outputs meet the highest quality standards and adhere to coding guidelines.
  • Design and implement scalable solutions for deploying LLM apps, ensuring efficiency in both computation and resource usage.
  • Stay updated with the latest research and advancements in AI and NLP to continuously improve model performance.
  • Work closely with UX/UI teams to ensure the integration of LLMs enhances the overall user experience.
  • Experience with agile methodologies and the ability to manage projects effectively to deliver on time and within scope.
  • Implement robust security and data privacy measures in all aspects of model development and deployment.
  • Strong communication and teamwork skills to effectively collaborate with diverse teams and stakeholders.
  • Good to have – Possess relevant Azure certifications such as Azure AI Engineer Associate, Azure Data Scientist Associate, or Azure Solutions Architect Expert

Experience

2- 3 Years in AI-ML Space. one year in prompt engineering and LLM Apps development

 

Must have skills

Technology Stack

  • Proficient in Python, TensorFlow, PyTorch, and related libraries for model development and deployment.
  • Experience in LLM Frameworks like LangChain
  • Experience in fine-tuning LLM models from various sources like OpenAI/Facebook/ Google/Hugging Face etc
  • Have experience in developing and consuming Vector Embeddings
  • Have efficiently used context settings in LLM Apps
  • Basic knowledge of databases focusing on Structured and semi structured data
  • GitHub

 

Qualification

  • Have a relevant degree such as Bachelor’s and Collage Degree in –
    • Computer Science, Information Technology, Information Systems, Software Engineering, Computer Engineering
  • Good to have Certification in AI

Share your resume on hr@intellifysolutions.com