Lead I - Software Engineering - AI Solutions Analyst

Global Digital Transformation Solutions Provider

Lead I - Software Engineering - AI Solutions Analyst

Peak Hire Solutions

Company

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Lead I - Software Engineering - AI Solutions Analyst

at Global Digital Transformation Solutions Provider

Agency job

via Peak Hire Solutions

6 - 8 yrs

₹10L - ₹26L / yr

Bengaluru (Bangalore), Mumbai, Delhi, Gurugram, Noida, Ghaziabad, Faridabad, Pune, Hyderabad

Skills

Large Language Models (LLM)

Prompt engineering

Knowledge base

Large Language Models (LLM) tuning

Artificial Intelligence (AI)

Interaction Design

Integration

Data integration

Integration testing

databricks

Amazon Web Services (AWS)

ChatGPT

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.

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.

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Full Stack Developer - Averlon

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Strong ETL/ELT skillset using Talend BigData Edition. Experience in Talend CDC & MDM functionality will be an advantage.
Experience & expertise in implementing complex data pipelines, including semi-structured & unstructured data processing
Expertise to design efficient data ingestion solutions to consolidate data from RDBMS, APIs, Messaging queues, weblogs, images, audios, documents, etc of Enterprise Applications, SAAS applications, external 3rd party sites or APIs, etc through ETL/ELT, API integrations, Change Data Capture, Robotic Process Automation, Custom Python/Java Coding, etc
Good understanding & working experience in OLAP Data Warehousing solutions (Redshift, Synapse, Snowflake, Teradata, Vertica, etc) and cloud-native Data Lake (S3, ADLS, BigQuery, etc) solutions
Familiarity with AWS tool stack for Storage & Processing. Able to recommend the right tools/solutions available to address a technical problem
Good knowledge of database performance and tuning, troubleshooting, query optimization, and tuning
Good analytical skills with the ability to synthesize data to design and deliver meaningful information
Good knowledge of Design, Development & Performance tuning of 3NF/Flat/Hybrid Data Model
Know-how on any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc) will be an advantage.
Ability to understand business functionality, processes, and flows
Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently

Functional knowledge

Data Governance & Quality Assurance
Distributed computing
Linux
Data structures and algorithm
Unstructured Data Processing

Key responsibility is to design and develop a data pipeline including the architecture, prototyping, and development of data extraction, transformation/processing, cleansing/standardizing, and loading in Data Warehouse at real-time/near the real-time frequency. Source data can be structured, semi-structured, and/or unstructured format.
Provide technical expertise to design efficient data ingestion solutions to consolidate data from RDBMS, APIs, Messaging queues, weblogs, images, audios, documents, etc of Enterprise Applications, SAAS applications, external 3rd party sites or APIs, etc through ETL/ELT, API integrations, Change Data Capture, Robotic Process Automation, Custom Python/Java Coding, etc
Development of complex data transformation using Talend (BigData edition), Python/Java transformation in Talend, SQL/Python/Java UDXs, AWS S3, etc to load in OLAP Data Warehouse in Structured/Semi-structured form
Development of data model and creating transformation logic to populate models for faster data consumption with simple SQL.
Implementing automated Audit & Quality assurance checks in Data Pipeline
Document & maintain data lineage to enable data governance
Coordination with BIU, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc

Requirements

Programming experience using Python / Java, to create functions / UDX
Extensive technical experience with SQL on RDBMS (Oracle/MySQL/Postgresql etc) including code optimization techniques
Strong ETL/ELT skillset using Talend BigData Edition. Experience in Talend CDC & MDM functionality will be an advantage.
Experience & expertise in implementing complex data pipelines, including semi-structured & unstructured data processing
Expertise to design efficient data ingestion solutions to consolidate data from RDBMS, APIs, Messaging queues, weblogs, images, audios, documents, etc of Enterprise Applications, SAAS applications, external 3rd party sites or APIs, etc through ETL/ELT, API integrations, Change Data Capture, Robotic Process Automation, Custom Python/Java Coding, etc
Good understanding & working experience in OLAP Data Warehousing solutions (Redshift, Synapse, Snowflake, Teradata, Vertica, etc) and cloud-native Data Lake (S3, ADLS, BigQuery, etc) solutions
Familiarity with AWS tool stack for Storage & Processing. Able to recommend the right tools/solutions available to address a technical problem
Good knowledge of database performance and tuning, troubleshooting, query optimization, and tuning
Good analytical skills with the ability to synthesize data to design and deliver meaningful information
Good knowledge of Design, Development & Performance tuning of 3NF/Flat/Hybrid Data Model
Know-how on any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc) will be an advantage.
Ability to understand business functionality, processes, and flows
Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently

Functional knowledge

Data Governance & Quality Assurance
Distributed computing
Linux
Data structures and algorithm
Unstructured Data Processing

Android Developer

at TMBill

1 recruiter

Posted by Rahiil Shaikh

Remote, Pune

1 - 3 yrs

₹4L - ₹5L / yr

Android Development

Java

Kotlin

RxJava

User Experience (UX) Design

+2 more

We are having urgent openings for Android developers

Experience – 1 to 3 years

Skills: Native Android, Java, Kotlin, Rx Java, Event Bus, Json, and UI / UX - XML

https://www.linkedin.com/feed/hashtag/?keywords=androidhiring&;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6729767648013402112">#androidhiring https://www.linkedin.com/feed/hashtag/?keywords=hiringduringcovid&;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6729767648013402112">#hiringduringcovid https://www.linkedin.com/feed/hashtag/?keywords=hiringandroid&;highlightedUpdateUrns=urn%3Ali%3Aactivity%3A6729767648013402112">#HiringAndroid
Team
TMBill

Angular Developer

at Radiatechs Private Limited

2 recruiters

Posted by Rajdeep Singh

Remote, Indore

1 - 3 yrs

₹2.4L - ₹4.5L / yr

Angular

Angular (2+)

We are hiring for Angular Developer. Opportunity to make a difference, chance to work on cutting edge technology, flexible work hours, rewarding career, work from home option.

Minimum experience of 1 year and maximum 3 years in Angular 5+ version
Preference- If the candidate is full stack developer and has an additional skill
Position opened for immediate joiners (Maximum within 15 days of offer)

We are hiring for Angular Developer. Opportunity to make a difference, chance to work on cutting edge technology, flexible work hours, rewarding career, work from home option.

Minimum experience of 1 year and maximum 3 years in Angular 5+ version
Preference- If the candidate is full stack developer and has an additional skill
Position opened for immediate joiners (Maximum within 15 days of offer)

Junior Survey Tabulator

at comScore

1 recruiter

Posted by Jordy Licht

Pune

1 - 2 yrs

₹3L - ₹4L / yr

Tabulate

Survey design

Scripting

You will be part of dynamic group tasked to deliver tabulated reports in a timely manner. Your duties will include reviewing all elements needed to execute a successful tabulations project: questionnaire, data file, Table & Banner guide and other relevant documents. You will be expected to develop custom syntax files using UNCLE software with average complexity, apply standard weighting algorithms to balance data quotas and generate data calculations. Your role will involve performing exhaustive quality control checks to ensure all tabulated data reported is 100% accurate; this will entail logic checks, consulting with senior members and cross-referencing syntax files. What You’ll Do: • Complete Tabulation projects from beginning to end • Use the UNCLE command language to build syntax to accommodate specifications provided by researchers • Perform basic data calculations using UNCLE syntax • Provide support to Survey Operations Tabs team as needed • Perform detailed quality checks using SPSS, online reporting and UNCLE • Concurrently handle several projects to accommodate deadlines What You’ll Need: • A Bachelor’s Degree in Marketing, Business, Social Sciences or a relevant quantitative/technical field • 2 - 3 years of experience, preferably as a Tabulator, in market research • Solid programing logic and full understanding of syntax writing to develop custom tables for Market Research • Ability to multitask and work independently with minimal supervision • Excellent written/oral communication skills and able to document processes and logs as needed • Able to work as member of a cohesive team What Would Be Good To Have: • Experience with the UNCLE tabulation package • Experience in having worked independently on large projects with medium degree of complexity • Able to write macros to automate repetitive functions • Solid understanding of data in multiple formats and how data is processed and presented in tabular format

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