AWS Bedrock/Azure Open AI
Responsibilities
2–5 years of experience in Python development and AI/ML applications.
Hands-on experience with:
AWS Bedrock or Azure OpenAI services
REST APIs / FastAPI / Flask
Strong understanding of LLMs, prompt engineering, and NLP concepts.
Experience with vector databases (FAISS, Pinecone, ChromaDB, etc.).
Knowledge of RAG architectures and embeddings.
Familiarity with LangChain, LlamaIndex, or similar frameworks.
Experience with JSON, APIs, and microservices architecture.
Additional Responsibilities
Experience with cloud platforms (AWS, Azure) and their AI services.
Knowledge of fine-tuning and model evaluation techniques.
Familiarity with Docker & Kubernetes.
Experience with CI/CD pipelines and MLOps practices.
Exposure to data engineering pipelines.
Understanding of Responsible AI / AI ethics.
Technical and Professional Requirements
- Primary skills:Technology->Finacle-Core-Payments->Positive Pay Services->Advance,Technology->Geographical Information System->Spatial Databases->SQL Server
Preferred Skills
- AWS Systems Manager
- closed models (azure open ai)
Educational Requirements
MCA,MSc,MTech,BCA,BSc,BTech
AI Engineers
Responsibilities
Key Responsibilities
Design, develop, and deploy machine learning and AI models
Build and maintain data pipelines for training and inference
Work on supervised and unsupervised learning algorithms
Implement NLP, Computer Vision, or Deep Learning solutions
Optimize models for performance, scalability, and accuracy
Collaborate with data engineers, analysts, and product teams
Deploy models using cloud platforms (AWS/Azure/GCP)
Monitor model performance and perform continuous improvements
Conduct data preprocessing, feature engineering, and model evaluation
Document models, processes, and experiments
Required Skills & Qualifications
Technical Skills
Strong proficiency in Python
Experience with Machine Learning libraries:
Scikit-learn
TensorFlow / PyTorch
Knowledge of data manipulation tools (Pandas, NumPy)
Experience with ML algorithms (regression, classification, clustering)
Familiarity with Deep Learning frameworks
Knowledge of NLP or Computer Vision techniques
Experience in model deployment (APIs, microservices)
Strong understanding of statistics and probability
Additional Responsibilities
Preferred Skills (Nice-to-Have)
Experience with Generative AI / LLMs (GPT, LangChain, Hugging Face)
Knowledge of MLOps tools (MLflow, Kubeflow, Airflow)
Experience with Docker and Kubernetes
Familiarity with Big Data tools (Spark, PySpark)
Experience with REST APIs and microservices architecture
Knowledge of cloud AI services (AWS SageMaker, Azure ML, GCP AI)
Understanding of vector databases and embeddings (FAISS, Pinecone)
Exposure to CI/CD pipelines and DevOps practices
Technical and Professional Requirements
- Primary skills:Domain->Turbomachinery->Steam Turbine->Rotor
Preferred Skills
- AI/ML Solution Architecture and Design
Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
AWS Bedrock Developer-Terraform-Python
Responsibilities
5–9 years of experience in Python development and cloud engineering.
Hands-on experience with:
AWS Bedrock (LLMs, embeddings, APIs)
Terraform (Infrastructure as Code)
Strong knowledge of Generative AI concepts (LLMs, NLP, prompt engineering).
Experience building scalable APIs using FastAPI / Flask.
Experience with AWS services:
Lambda, S3, EC2, API Gateway, IAM, CloudWatch
Strong understanding of microservices architecture.
Experience implementing RAG pipelines and vector search.
Proficiency in REST APIs, JSON, and system integration.
Additional Responsibilities
Experience with LangChain, LlamaIndex, or similar frameworks.
Exposure to Kubernetes & Docker.
Experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps).
Familiarity with MLOps tools (MLflow, SageMaker Pipelines).
Knowledge of multi-cloud environments (Azure OpenAI / GCP Vertex AI).
Experience with data engineering pipelines.
Understanding of Responsible AI / AI governance.
Technical and Professional Requirements
- Primary skills:Domain->Banking->Compliance & Regulations->Consumer Banking,Technology->Geographical Information System->Spatial Databases->SQL Server,Technology->OpenSystem->Python – OpenSystem
Preferred Skills
- closed models (aws bedrock)
- Terraform
- Python
Educational Requirements
MCA,MSc,MTech,BCA,BSc,BTech
Python-GenAI-LLMOps
Responsibilities
Key Responsibilities
Develop and deploy Generative AI applications using LLMs (GPT, Llama, etc.)
Build and maintain LLM pipelines, including prompt engineering and fine-tuning
Design and implement end-to-end AI/ML workflows (data → model → deployment)
Work with vector databases for semantic search and retrieval (RAG architecture)
Implement LLMOps practices for monitoring, evaluation, and versioning
Integrate LLMs into applications via APIs and microservices
Optimize model performance, cost, and latency
Collaborate with data engineers, product teams, and stakeholders
Conduct testing, validation, and debugging of AI models
Ensure security, compliance, and responsible AI practices
Required Skills & Qualifications
Technical Skills
Strong proficiency in Python
Hands-on experience with Generative AI & LLM frameworks:
OpenAI / Azure OpenAI APIs
Hugging Face Transformers
LangChain / LlamaIndex
Experience with prompt engineering and RAG (Retrieval-Augmented Generation)
Familiarity with vector databases (FAISS, Pinecone, Weaviate, Chroma)
Knowledge of ML/DL frameworks (PyTorch / TensorFlow – basics)
Experience in API development (FastAPI, Flask)
Understanding of RESTful services and microservices architecture
Additional Responsibilities
Preferred Skills (Nice-to-Have)
Experience with fine-tuning LLMs / parameter-efficient tuning (LoRA, PEFT)
Knowledge of multimodal AI (text, image, audio)
Exposure to cloud platforms (AWS, Azure, GCP)
Experience with Kubernetes and scalable deployments
Knowledge of data engineering tools (Spark, Kafka)
Familiarity with vector search optimization and embeddings
Understanding of AI governance, ethics, and compliance
Experience with chatbots, copilots, or conversational AI systems
Technical and Professional Requirements
- Primary skills:Technology->Data Science->Machine Learning,Technology->Geographical Information System->Spatial Databases->SQL Server,Technology->Machine Learning->Python
Preferred Skills
- PYTHON
- retrieval augmented generation (rag)
- Machine Learning
Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
Informatica-Bigdata-Hive-Hadoop-UNIX(Production Support)
Responsibilities
Key Responsibilities
Production Support & Incident Management
Provide L2/L3 support for Big Data and ETL applications
Monitor batch jobs, workflows, and data pipelines (24/7 support model if required)
Troubleshoot Informatica workflows, Hadoop/Hive jobs, and UNIX scripts
Perform root cause analysis (RCA) and ensure timely resolution of incidents
Track and resolve SLA breaches, P1/P2 incidents
ETL & Data Pipeline Support
Support and maintain Informatica PowerCenter / IICS workflows
Debug ETL failures, data mismatches, and performance issues
Perform data validation and reconciliation across systems
Handle data ingestion and transformation pipelines
Big Data / Hadoop Ecosystem
Troubleshoot issues in:
Hadoop (HDFS, YARN)
Hive queries and performance tuning
Spark jobs (basic to intermediate exposure preferred)
Analyze logs, optimize queries, and ensure smooth data processing
Unix & Scripting
Develop and support Shell scripts for automation
Analyze logs, manage file movements, job scheduling, and cron jobs
Automate repetitive support activities
Monitoring & Tools
Work with scheduling tools:
Autosys / Control-M / Airflow
Use monitoring and ticketing tools:
ServiceNow / Jira
Proactively monitor systems and prevent failures
Performance & Optimization
Identify bottlenecks in ETL and Big Data workloads
Optimize Hive queries, partitioning, and indexing strategies
Improve job execution time and system stability
Stakeholder Coordination
Collaborate with:
Development teams
Business stakeholders
Infrastructure teams
Communicate status updates and incident reports clearly
Required Skills
Core Technical Skills
Informatica PowerCenter / IICS (strong exposure)
Hadoop ecosystem (HDFS, YARN, MapReduce basics)
Hive (advanced querying & tuning)
UNIX/Linux + Shell scripting
SQL (advanced)
Production Support Skills
Incident & problem management
RCA and debugging expertise
Batch monitoring and job scheduling
SLA-driven environment experience
Technical and Professional Requirements
- Primary skills:Process->Informatica, Bigdata, Production support,Unix,Hadoop,Hive
Preferred Skills
- Informatica
- Big Data – ALL
- Support Process – Transition
Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
AWS Admin-Terraform-IDQ-Atacamma(Data Quality tool)
Responsibilities
5–9 years of experience in Cloud/Data Platform Administration.
Strong hands-on experience with:
AWS cloud services
Terraform (Infrastructure as Code)
Experience with Data Quality tools:
Informatica Data Quality (IDQ) OR Ataccama
Strong understanding of data governance and data quality frameworks.
Experience with Linux/Unix environments and scripting (Shell/Python).
Proficiency in SQL and database concepts.
Knowledge of CI/CD pipelines and DevOps practices.
Additional Responsibilities
Experience with data integration tools (Informatica PowerCenter / IICS).
Familiarity with Big Data technologies (Hadoop, Spark).
Knowledge of data catalogs and metadata management tools.
Experience with monitoring tools (CloudWatch, Grafana, Splunk).
Exposure to security frameworks and compliance standards (GDPR, HIPAA, etc.).
Experience in multi-cloud environments (Azure/GCP).
Technical and Professional Requirements
- Primary skills:Domain->Banking->Compliance & Regulations->Consumer Banking,Technology->Finacle-Core-Payments->Positive Pay Services->Advance
Preferred Skills
- AWS Systems Manager
- Terraform
Educational Requirements
MCA,MSc,MTech,BCA,BSc,BTech
Ab Initio Developer
Responsibilities
5–9 years of experience in ETL-Data Integration development.
Strong hands-on experience with:
Ab Initio GDE (Graphical Development Environment)
Ab Initio Co-Operating System
Expertise in Ab Initio components:
Rollup, Scan, Join, Partition, Sort, Reformat, etc.
Experience with parallel processing and performance tuning.
Strong knowledge of data warehousing concepts (OLAP, ETL, Star/Snowflake schemas).
Proficiency in SQL and relational databases (Oracle, Teradata, SQL Server).
Strong experience in Unix/Linux and shell scripting.
Knowledge of job scheduling tools (Autosys, Control-M).
Additional Responsibilities
Experience with Ab Initio Metadata Hub (MHUB), EME (Enterprise Metadata Environment).
Familiarity with Ab Initio Data Quality / Continuous Flows.
Knowledge of Big Data technologies (Hadoop, Spark).
Experience with cloud platforms (AWS, Azure).
Exposure to CI/CD pipelines and DevOps practices.
Experience in banking/financial services domain (preferred).
Technical and Professional Requirements
- Primary skills:Technology->Data Management – Data Integration->Ab Initio
Preferred Skills
- AbInitio – Business Rules Environment
Educational Requirements
MCA,MSc,MTech,BCA,BSc,BTech
SAP BASIS CONSULTANT
Responsibilities
We are looking for an experienced SAP BASIS Consultant responsible for the administration, installation, configuration, and support of SAP landscapes. The role includes system monitoring, performance tuning, upgrades, patching, and ensuring high availability of SAP systems.
Key Responsibilities
SAP System Administration
Install, configure, and maintain SAP systems (ECC, S/4HANA, BW, PI/PO, Solution Manager)
Manage SAP landscape environments (DEV, QA, PROD)
Perform client administration (creation, copy, deletion)
Maintain system parameters and profiles
Installation, Upgrade & Migration
Perform:
SAP installations (ABAP / JAVA stack)
System upgrades and enhancement packs
Kernel upgrades and patching
Assist in SAP migrations (on-premise to cloud / S/4HANA conversions)
Performance Monitoring & Tuning
Monitor system performance using:
ST02, ST03N, ST04, SM50, SM66
Analyze and optimize:
Work processes
Memory parameters
Database performance
Resolve system bottlenecks and improve efficiency
Transport Management
Manage Transport Management System (TMS)
Handle:
Transport routes configuration
Import/export of transports
Troubleshoot transport-related issues
User Administration & Security
Manage:
User creation and authorization (basic level)
Roles and profiles (coordination with security team)
Ensure compliance with security policies
Backup & Disaster Recovery
Plan and execute:
System backups
Restore activities
Configure and test Disaster Recovery (DR) processes
Ensure system availability and business continuity
Monitoring & Production Support
Provide L2/L3 support for SAP BASIS issues
Monitor system health:
Background jobs (SM37)
Dumps (ST22)
Logs (SM21)
Perform incident management, RCA, and SLA adherence
Database Administration Support
Work with databases:
HANA / Oracle / SQL Server / DB2
Perform:
Database monitoring
Space management
Performance tuning (basic to intermediate)
SAP HANA Administration (Preferred)
Monitor and support SAP HANA systems
Perform:
HANA upgrades and patching
Backup and recovery
Performance analysis
Technical and Professional Requirements
- Primary skills:Technology->SAP Technical->SAP Basis
Preferred Skills
- SAP Basis
Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
SAP TM CONSULTANT
Responsibilities
We are looking for a skilled SAP TM Consultant with experience in Transportation Management processes, configuration, and support. The role involves end-to-end implementation, optimization, and support of logistics and transportation processes using SAP TM.
Key Responsibilities
SAP TM Implementation & Configuration
Configure and implement SAP TM (Transportation Management) solutions
Work on:
Freight planning and optimization
Order management
Freight settlement
Carrier selection and tendering
Customize system based on business logistics requirements
Business Process Understanding
Analyze transportation and logistics business processes
Translate business requirements into SAP TM functional specifications
Provide solutions aligned with supply chain and logistics operations
Integration
Integrate SAP TM with:
SAP ECC / S/4HANA
EWM (Extended Warehouse Management)
SD (Sales & Distribution)
Third-party logistics systems (3PL)
Ensure smooth data flow across supply chain processes
Freight Management
Handle:
Freight order creation
Freight booking and planning
Freight cost calculation and settlement
Configure charge management and freight agreements
Production Support
Provide L2/L3 support for SAP TM issues
Troubleshoot:
Planning failures
Freight settlement errors
Integration issues
Perform root cause analysis (RCA) and resolve defects
Testing & Documentation
Perform:
Unit testing
Integration testing
User Acceptance Testing (UAT)
Prepare:
Functional specifications (FS)
Configuration documents
Test scripts and user manuals
Enhancements & Development Coordination
Work with ABAP team for:
Custom enhancements (RICEF objects)
Interface development
Support change requests and system improvements
Reporting & Analytics
Generate and support reports for:
Freight costs
Transportation efficiency
Shipment tracking
Work with SAP reporting tools or BI integrations
Technical and Professional Requirements
- Primary skills:Technology->SAP Industry Solution->SAP Transportation & Logistics
Preferred Skills
- SAP Transportation & Logistics
Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
Python automation test engineer
Responsibilities
A day in the life of an Infoscion
- As part of the Infosys delivery team, your primary role would be to ensure effective Design, Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain.
- You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements.
- You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers.
- You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
Additional Responsibilities
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Technical and Professional Requirements
Technology->Automated Testing->Selenium-Python
Preferred Skills
- Selenium-Python
Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech