Admssion counselor

We are looking for a highly skilled AI Engineer / AI Architect to design, develop, and deploy scalable AI solutions. The ideal candidate will have strong expertise in building the Enterprise Generative AI solution along with the ability to architect end-to-end AI systems aligned with business objectives. 

Key Responsibilities

Design and implement end-to-end AI/Gen AI solutions. 

Architect scalable and secure AI systems using cloud platforms. 

Work on Generative AI use cases including LLMs, RAG, Workflow, Agentic AI, prompt

engineering, LLM-as-Judge, and fine-tuning. 

Collaborate with cross-functional teams and customer to translate business requirements into AI solutions. 

Should have knowledge and worked in SDLC process and understand DevOps

practices/workflows. 

Stay updated with emerging AI trends and evaluate new tools/technologies. 

Mentor junior engineers and guide best practices in AI development. 

Required Skills

Strong proficiency in Python and AI/ML Tools like Google ADK/Langgraph/Langchain, etc.., Should have experience in configuring the LLM in AWS Bedrock/Azure Foundry/Databricks and

configure the LLMOPS and production grade AI System. 

Hands-on experience with Generative AI (LLMs, embedding, prompt engineering). 

Understands the Agile process and involve in technical scoping and estimations

Strong problem-solving and analytical skills. 

Experience working on production-grade AI systems. 

Nice to Have

Certifications in Gen AI/AI/ML in Azure/Databricks platforms. 

Should have some foundational knowledge with Azure Cloud

Experience in handling an enterprise custom and enterprise AI solutions is a added advantage.

What You’ll Be Doing:

• Design and develop advanced AI/ML models to solve complex business problems
• Work closely with cross-functional teams including data engineers and domain experts
• Perform exploratory data analysis, data cleaning, and model development
• Translate business challenges into data-driven solutions and actionable insights
• Drive innovation in advanced analytics and AI/ML capabilities
• Communicate model insights effectively to both technical and non-technical stakeholders

What We’re Looking For:

• 5+ years of experience in AI/ML model development
• Strong foundation in mathematics, probability, and statistics
• Proficiency in Python and exposure to Azure Machine Learning / Databricks
• Experience with supervised & unsupervised learning techniques
• Domain exposure to Energy / Oil & Gas value chain (preferred)
• Strong problem-solving, stakeholder management, and communication skills

Strong Engineering Manager / Technical Leadership Profile

Mandatory (Experience 1): Must have 9+ years of experience in software engineering with experience building complex, large-scale products

Mandatory (Experience 2): Must have 2+ years of experience as an Engineering Manager / Tech Lead with people management responsibilities

Mandatory (Tech Skills 1): Strong technical foundation with hands-on experience in Java (or equivalent compiled language), scripting languages (Python, PHP, Ruby, Perl, Node.js), web technologies (HTML, CSS, Javascript), and databases (SQL/NoSQL)

Mandatory (Tech Skills 2): Proven ability to solve large-scale technical problems and guide teams on architecture, design, quality, and best practices

Mandatory (Leadership & Delivery): Experience in leading cross-functional teams, planning and tracking delivery, mentoring engineers, conducting performance reviews, and driving engineering excellence

Mandatory (Collaboration): Must have strong experience working with Product Managers, UX designers, QA, and other cross-functional partners

Mandatory (Communication): Excellent communication and interpersonal skills to influence technical direction and stakeholder decisions

Mandatory (Company): Top product companies (logistics, supply chain, e-commerce, or B2B SaaS at large scale)

Mandatory (Stability): Must have stayed for at least 2 years with each of the previous companies

Mandatory (Education): B.Tech in computer science or related field from Tier 1, Tier 2 colleges

Mandatory (Note 1): Education can be ignored for candidates with proven experience in strong, reputed product companies

Mandatory (Note 2): This role is a balanced mix of individual contribution and leadership responsibilities (50–50)

Mandatory (Note 3): Avoid candidates from small startups (<100 employees), MNC, semi fintech like banks, BFSI, and services background

We are seeking an experienced SAP S/4HANA Techno-Functional Consultant specializing in Sales & Distribution (SD) with deep expertise in Condition Contract Management (CCM). The primary objective is to support the transition of accrual processes from existing TPM systems to the standard SAP S/4HANA CCM module for APAC markets.

This is a strategic role requiring both functional insight and technical understanding to guide the process evaluation and design future-state solutions aligned with global standards.

Key Responsibilities:

• Analyze current requirements for accruals processes in APAC processes supported by existing TPM systems.

• Conduct fit-gap analysis between existing tools and standard S/4HANA CCM capabilities.

• Design optimized business processes utilizing S/4HANA CCM functionalities.

• Perform configuration and provide guidance on SAP SD and CCM modules.

• Provide technical direction for any required enhancements or integrations.

• Support functional testing, training, and process documentation.

• Align with global SAP teams to ensure solution compliance and readiness.

Qualifications:

• Minimum 5 years of SAP SD experience with at least 2 years in SAP S/4HANA, including hands-on work in CCM.

• Strong functional expertise in pricing/rebate/incentive/condition contract processes.

• Effective communicator with ability to work across business and IT teams.

• Prior experience in the Consumer Packaged Goods (CPG) sector is preferred.

• Experience in regional or global SAP transformations or rollouts is a plus.

Title: Data Platform / Database Architect (Postgres + Kafka) — AI‑Ready Data Infrastructure

Location: Noida (Hybrid). Remote within IST±3 considered for exceptional candidates.

Employment: Full‑time

About Us

We are building a high‑throughput, audit‑friendly data platform that powers a SaaS for financial data automation and reconciliation. The stack blends OLTP (Postgres), streaming (Kafka/Debezium), and OLAP (ClickHouse/Snowflake/BigQuery), with hooks for AI use‑cases (vector search, feature store, RAG).

Role Summary

Own the end‑to‑end design and performance of our data platform—from multi‑tenant Postgres schemas to CDC pipelines and analytics stores—while laying the groundwork for AI‑powered product features.

What You’ll Do

• Design multi‑tenant Postgres schemas (partitioning, indexing, normalization, RLS), and define retention/archival strategies.  

• Make Postgres fast and reliable: EXPLAIN/ANALYZE, connection pooling, vacuum/bloat control, query/index tuning, replication.  

• Build event‑streaming/CDC with Kafka/Debezium (topics, partitions, schema registry), and deliver data to ClickHouse/Snowflake/BigQuery.  

• Model analytics layers (star/snowflake), orchestrate jobs (Airflow/Dagster), and implement dbt‑based transformations.  

• Establish observability and SLOs for data: query/queue metrics, tracing, alerting, capacity planning.  

• Implement data security: encryption, masking, tokenization of PII, IAM boundaries; contribute to PCI‑like audit posture.  

• Integrate AI plumbing: vector embeddings (pgvector/Milvus), basic feature‑store patterns (Feast), retrieval pipelines and metadata lineage.  

• Collaborate with backend/ML/product to review designs, coach engineers, write docs/runbooks, and lead migrations.

Must‑Have Qualifications

• 6+ years building high‑scale data platforms with deep PostgreSQL experience (partitioning, advanced indexing, query planning, replication/HA).  

• Hands‑on with Kafka (or equivalent) and Debezium/CDC patterns; schema registry (Avro/Protobuf) and exactly‑once/at‑least‑once tradeoffs.  

• One or more analytics engines at scale: ClickHouse, Snowflake, or BigQuery, plus strong SQL.  

• Python for data tooling (pydantic, SQLAlchemy, or similar); orchestration with Airflow or Dagster; transformations with dbt.  

• Solid cloud experience (AWS/GCP/Azure)—networking, security groups/IAM, secrets management, cost controls.  

• Pragmatic performance engineering mindset; excellent communication and documentation.

Nice‑to‑Have

• Vector/semantic search (pgvector/Milvus/Pinecone), feature store (Feast), or RAG data pipelines.  

• Experience in fintech‑style domains (reconciliation, ledgers, payments) and SOX/PCI‑like controls.  

• Infra‑as‑Code (Terraform), containerized services (Docker/K8s), and observability stacks (Prometheus/Grafana/OpenTelemetry).  

• Exposure to Go/Java for stream processors/consumers.  

• Lakehouse formats (Delta/Iceberg/Hudi).

Overview

C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making.

C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.

Global offices

United States | Canada | United Kingdom | United Arab of Emirates | India

Job Responsibilities

• Solve complex business problems by applying NLP, CV and Machine Learning techniques. Integrate these algorithms into multiple product and solution offerings.
• Conduct research to advance the field of generative AI, including staying up-to-date with the latest developments and techniques. Develop new generative models or improve existing ones.
• Build cognitive capabilities in multiple product and solution offerings.
• Systemic study of latest research and industry developments in Artificial Intelligence. Leverage these developments to solve real-world business problems.
• Envisage next-generation challenges and recommend solutions to solve them.
• Facilitate the IP generation process in the organization and works towards patenting of inventions.

Requirements & Qualifications:

• B.E/B.TECH/MS/M.TECH/MCA.
• Knowledge / Competency / Skills: - Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP).
• Knowledge of various Generative AI models and Prompt Engineering.
• Hands-on coding skills in Python, at least 4 years’ python experience. (Preferred) Strong NLP skills.

C5i is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity, etc. If you have a disability or special need that requires accommodation, please keep us informed about the same at the hiring stages for us to factor necessary accommodations.

• Systems: eCommerce, CMS, Transaction website, payment gateways, Omni-channel, Postman Application
• Role: Will be responsible for testing website, POS, Logistics systems. Integration testing. Automate scripts and test data. Testing of website on different screens, resolution, regression, performance & integrity testing. Build use cases, test cases and test data including API testing for request & response
• Education : BE/BTech
• Experience : 4-6 Years. Manual and/or Automation Testing, Understanding and usage of tools like Silenium, JIRA. Team player. Leadership qualities and coordination with different stakeholders