We believe in the strength of people and the collective effort of skilled individuals. Inforizon is all about our talented and aspirational team. We have a well defined and scalable organizational structure with policies that can support the future growth of people. Being a part of the Inforizon family, you will be encouraged to upgrade your existing skills and to actively participate in cultural events. We welcome individuals who want to be in an enriching workspace with great opportunities and scalable future growth.
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Reltio Developer
Job ID: INFIT001
Hiring / Immediate joiners
Reltio Developer
Work timing: 11AM-8PM
Work Mode: Hybrid
Work Location
5 Years: Preferred- Bangalore location(Hyd/Chennai/Pune)
Lead Level: Preferred- Bangalore location.
Rounds of interview: 2 Rounds
Mode of interview: Virtual
Send Resume: recruiter@inforizonhr.com/7306892755
Job Description
Must to Have Skill
- Reltio - 5 Years of experience, Developers worked on MDM role, Data Modelling, Need hands on experience on Reltio
JD Pointers:-
- Should have Reltio Hands-on experience configuring business models, match/merge strategies, survivorship and trust frameworks, hierarchies, relationships, and reference data to support global master data standards.
- Lead level role- 8 years, Need Hands on experience on Reltio
JD Pointers:-
- Should have Reltio Hands-on experience configuring business models, match/merge strategies, survivorship and trust frameworks, hierarchies, relationships, and reference data to support global master data standards.
- Should have experience in establishing data quality controls (profiling, scorecards, rules, monitoring) and remediation workflows in partnership with business and stewardship teams.
- Should have led development and operate MDM work for complex, multi-domain MDM programs
Good to Have
- Good Communication skills, as it’s a client facing role
Apply Now
Databricks Engineer
Job ID: INFIT002
Hiring / Immediate joiners
Databricks Engineer
Send Resume: recruiter@inforizonhr.com/7306892755
Job Description
Parameter Databricks Engineer (5+ Years) Databricks Engineer (3–4 Years) Data QA Engineer (Modern Data Platform) Experience 5+ Years 3–4 Years 3–7 Years Location Pune / Hyderabad Pune / Hyderabad Pune / Hyderabad Work Model Hybrid (3 Days WFO, 2 Days WFH) Hybrid (3 Days WFO, 2 Days WFH) Hybrid (3 Days WFO, 2 Days WFH) Deployment Immediate Immediate Immediate Job Summary Design, develop, and optimize scalable data engineering solutions using Databricks and Apache Spark. Develop and maintain ETL/ELT pipelines and support enterprise data engineering initiatives using Databricks. Validate Modern Data Platform implementations with a focus on Databricks and Snowflake through end-to-end data testing. Key Responsibilities • Design and develop ETL/ELT pipelines
• Build Spark applications (PySpark/Scala)
• Optimize Spark jobs
• Work with Delta Lake & Unity Catalog
• Integrate cloud data sources
• Ensure data quality and governance• Develop ETL/ELT pipelines
• Build PySpark applications
• Write and optimize SQL queries
• Work with Delta Lake
• Monitor production pipelines
• Support data migration and transformations• Validate ETL/ELT pipelines
• Perform source-to-target data validation
• Test business rules and transformations
• Validate Snowflake implementations
• Execute SQL-based testing
• Perform regression/integration testing
• Track defects using JiraMandatory Skills • 5+ years Data Engineering experience
• Databricks
• Apache Spark (PySpark/Scala)
• Advanced SQL
• Delta Lake
• Azure/AWS Databricks
• Git & CI/CD
• Airflow/ADF• 3–4 years Data Engineering experience
• Databricks
• PySpark
• SQL
• Delta Lake
• Azure/AWS Cloud
• Git & CI/CD• 3–7 years Data QA/ETL Testing experience
• SQL
• Databricks Testing
• Snowflake Validation
• ETL/ELT Testing
• Data Reconciliation
• JiraPreferred Skills Snowflake, Azure Data Factory, AWS Glue, DevOps, Agile Snowflake, Azure Data Factory, Airflow, Data Lake Concepts PySpark, Azure Data Factory, Airflow, Test Automation, Agile Apply Now
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AI/ML Engineer 5+ years
Job Title: AI/ML Engineer
Experience: 5+ years
Work Mode: RemoteKey Responsibilities
AI/ML Solution Architecture
- Design and implement scalable AI/ML architectures for enterprise-grade applications.
- Lead end-to-end AI solution development including data pipelines, model development, deployment, monitoring, and optimization.
- Build reusable AI platforms, frameworks, and accelerators for organization-wide adoption.
Generative AI & Agentic AI
- Architect and develop Generative AI applications using Large Language Models (LLMs).
- Design Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search.
- Build AI agent workflows with tool calling, multi-agent orchestration, and MCP-based integrations.
- Develop conversational assistants, coding assistants, automation agents, and enterprise copilots.
Machine Learning Engineering
- Develop and optimize ML models for:
- Recommendation systems
- Demand forecasting
- Price prediction
- Customer segmentation
- Fraud detection
- Predictive analytics
- Search ranking and relevance
- Behavioral analytics
- Optimization systems
Cloud & Platform Engineering
- Lead AI/ML implementations on cloud platforms, preferably Google Cloud Platform (GCP).
- Work with services such as:
- Vertex AI
- BigQuery
- Cloud Run
- GKE
- Pub/Sub
- Dataflow
- Vertex AI Search
- Cloud Storage
- Vector Search
MLOps & Deployment
- Establish MLOps best practices including:
- Model versioning
- Experiment tracking
- Feature engineering pipelines
- Drift detection
- Monitoring and observability
- Automated retraining workflows
- Deploy scalable AI services using:
- FastAPI / Flask
- Docker
- Kubernetes
- REST APIs
- CI/CD pipelines
- Microservices
Leadership & Collaboration
- Lead and mentor AI/ML engineers, data scientists, and backend engineering teams.
- Collaborate with product, business, and leadership stakeholders to translate business problems into AI-driven solutions.
- Evaluate emerging AI technologies and recommend strategic adoption opportunities.
Required Skills & Qualifications
Experience
- 5+ years of experience in AI/ML, Data Science, AI Engineering, or related domains.
- Proven experience delivering production-grade AI/ML solutions.
Technical Skills
Programming & ML
- Strong proficiency in Python.
- Experience with:
- NumPy
- Pandas
- Polars
- Scikit-learn
- XGBoost
- TensorFlow
- PyTorch
Machine Learning
- Strong understanding of:
- Regression
- Classification
- Clustering
- Recommendation systems
- Forecasting models
- Anomaly detection
- Ranking systems
- Similarity search
- Optimization techniques
Generative AI
- Hands-on experience with:
- LLM applications
- RAG architecture
- Prompt engineering
- Embedding models
- Semantic search
- Hybrid search
- AI agents
- MCP integrations
- Tool calling workflows
AI Frameworks & Platforms
- Experience with:
- LangChain
- LangGraph
- LlamaIndex
- CrewAI
- AutoGen
Vector Databases & Search
- Experience with:
- Pinecone
- Weaviate
- FAISS
- Milvus
- Elasticsearch
- Vertex AI Vector Search
Cloud & Infrastructure
- Strong experience with GCP services and cloud-native architectures.
- Knowledge of:
- Docker
- Kubernetes
- GKE
- Serverless architectures
- Event-driven systems
MLOps
- Experience implementing:
- Model monitoring
- Experiment tracking
- Feature stores
- Model registry
- Logging and observability
- CI/CD for ML systems
Preferred Qualifications
- Experience in retail, e-commerce, finance, analytics, customer service, or enterprise automation domains.
- Experience with:
- Vertex AI Search
- Google Commerce Search
- Dialogflow CX / Google CX Agent
- OR-Tools
- Exposure to enterprise AI governance, scalability, and responsible AI practices.
Apply Now
Data Engineer(6+ years)
Job ID: INFIT06
Experience: 6+ years
Location: Remote
Budget: [Specify if needed]Job Summary:
We are looking for an experienced Data Engineer with expertise in Azure Data Factory (ADF), Databricks, and Data Modeling. The ideal candidate should have a strong technical background in data pipeline development, transformation, and optimization, along with excellent communication skills to collaborate with cross-functional teams.
Key Responsibilities:
- Design, develop, and optimize ETL pipelines using Azure Data Factory (ADF).
- Build and maintain scalable data processing solutions in Databricks.
- Implement and manage data models, ensuring efficiency and performance.
- Work with structured and unstructured data, applying best practices in data transformation and modeling.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
- Ensure data integrity, security, and compliance in alignment with organizational policies.
- Optimize data storage, retrieval, and performance tuning in cloud environments.
- Troubleshoot data pipeline issues and implement improvements.
Technical Skills Required:
- Azure Data Factory (ADF) – Strong experience in developing and managing data pipelines.
- Databricks – Hands-on expertise in building and optimizing Spark-based data transformations.
- Data Modeling – Experience in designing OLAP, OLTP, and dimensional models.
- SQL & NoSQL Databases – Proficiency in handling large datasets.
- Programming Languages – Proficiency in Python, SQL, or Scala for data processing.
- Azure Cloud – Strong understanding of Azure Synapse, Azure Storage, and other data services.
- Big Data Processing – Experience with distributed computing frameworks like Apache Spark.
- CI/CD & DevOps – Familiarity with Azure DevOps, Git, and automation tools for deploying data pipelines.
Soft Skills:
- Strong communication skills – Ability to clearly explain technical concepts to non-technical stakeholders.
- Problem-solving mindset – Analytical approach to troubleshooting and optimizing data workflows.
- Collaboration – Experience working with cross-functional teams.
Preferred (Good to Have) Skills:
- Experience with Power BI or other visualization tools.
- Knowledge of Kafka, Event Hub, or real-time data streaming technologies.
- Certifications in Azure Data Engineering (DP-203) or equivalent.
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Apply Now
Or email us recruiter@inforizonhr.com your Resume for the openings in future.
Benefits
Better Salary
W offer competitive salaries to keep our employees motivated and keep a sense of unity within our company.
Flexibility
Inforizon offer flexible work hours or remote work options, allowing employees to achieve a better work-life balance.
Career Growth
Inforizon invest in our employees' professional growth by providing training, education, and career opportunities.
Recognition
We offer Performance bonuses and extra financial rewards based on individual and teams achievements.
Technology
We help up-to-date tools and technology needed for the job. Equipment and software to facilitate remote work.
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