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It's regarding a permanent opening with Data Semantics

Data Semantics 

We are Product base company and Microsoft Gold Partner

Data Semantics is an award-winning Data Science company with a vision to empower every organization to harness the full potential of its data assets. In order to achieve this, we provide Artificial Intelligence, Big Data and Data Warehousing solutions to enterprises across the globe. Data Semantics was listed as one of the top 20 Analytics companies by Silicon India 2018 & CIO Review India 2014 as one of the Top 20 BI companies.  We are headquartered in Bangalore, India with our offices in 6 global locations including USA United Kingdom, Canada, United Arab Emirates (Dubai Abu Dhabi), and Mumbai. Our mission is to enable our people to learn the art of data management and visualization to help our customers make quick and smart decisions. 

Our Services include: 

Business Intelligence & Visualization

App and Data Modernization

Low Code Application Development

Artificial Intelligence

Internet of Things

Data Warehouse Modernization

Robotic Process Automation

Advanced Analytics

Our Products:

Sirius – World’s most agile conversational AI platform

Serina

Conversational Analytics

Contactless Attendance Management System

Company URL:   https://datasemantics.co 

JD:

MSBI

SSAS

SSRS

SSIS

Datawarehousing

SQL

Roles & Responsibilities:

• Design creative visuals for social media, websites, email campaigns, banners, brochures, and marketing materials.
• Create engaging graphics aligned with brand guidelines and company standards.
• Assist in developing branding elements such as logos, templates, and presentations.
• Collaborate with the marketing and content team to understand project requirements and deliver creative concepts.
• Edit images, retouch photos, and enhance visual content as needed.
• Work on multiple projects simultaneously while meeting deadlines.
• Revise designs based on feedback from internal stakeholders.
• Stay updated with the latest design trends, tools, and industry best practices.
• Ensure consistency in designs across all digital and print platforms.

Required Skills (Must & Should Have):

• Proficiency in design tools such as Adobe Photoshop, Illustrator, InDesign, Canva, Figma (any relevant tools).
• Basic understanding of typography, color theory, layout, and composition principles.
• Knowledge of social media design formats and digital marketing creatives.
• Basic video editing skills (Premiere Pro / After Effects) – added advantage.
• Strong attention to detail and creativity.
• Ability to manage time effectively and handle multiple tasks.

Communication Skills (Mandatory):

• Must have strong verbal and written communication skills.
• Ability to clearly understand design briefs and explain creative ideas confidently.
• Good coordination skills to work effectively with cross-functional teams.
• Open to feedback and able to communicate revisions professionally.

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

About the Role You will be responsible supporting customers in their car buying journey with Spinny at the retail hub. You will play a critical role in customer engagement and must understand customer requirements to recommend products according to their needs, pitching products and negotiating when necessary. 

Key Responsibilities Include: ● Building a relationship with the customer at the retail hub, understanding their needs and negotiating as needed ● Managing the hub inventory ● Meeting and engaging with customers, showing them cars, and conducting test drives ● Ensuring that any issues are resolved Requirements: ● Relevant experience in sales ● Graduate degree ● Good verbal communication skills – English, Hindi, and regional language (will be an added advantage) ● A 4-Wheeler Driving License and Knowing how to drive is Mandatory. 

The AI Data Engineer will be responsible for designing, building, and operating scalable data pipelines and curated data assets that power machine learning, generative AI, and intelligent automation solutions in an SLA-driven managed services environment. This role focuses on data ingestion, transformation, governance, and operational reliability across cloud and hybrid environments enabling use cases such as knowledge retrieval (RAG), conversational AI, predictive analytics, and AI-assisted service management. The ideal candidate combines strong data engineering fundamentals with an understanding of AI workload requirements, including quality, lineage, privacy, and performance. 

Key Responsibilities 

•Design, build, and operate production-grade data pipelines that support AI/ML and generative AI workloads in managed services environments 

•Develop curated, analytics-ready datasets and data products to enable model training, grounding, feature generation, and AI search/retrieval 

•Implement data ingestion patterns for structured and unstructured sources (APIs, databases, files, event streams, documents) 

•Build and maintain transformation workflows with strong testing and validation 

•Enable Retrieval-Augmented Generation (RAG) by preparing document corpora, chunking strategies, metadata enrichment, and vector indexing patterns 

•Integrate data pipelines with application services 

•Support ITSM and enterprise workflow data needs, including ServiceNow data integration, CMDB/incident data quality improvements, and automation enablement 

•Implement observability for data pipelines (monitoring, alerting, SLAs/SLOs) and perform root cause analysis for pipeline failures or data quality incidents 

•Apply data governance and security best practices 

•Collaborate with ML Engineers, DevOps/SRE, and solution architects to operationalize end-to-end AI solutions 

•Contribute to reusable patterns, templates, and standards within the Bell Techlogix AI Center of Excellence 

Required Qualifications 

•Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience 

•5+ years of experience in data engineering, analytics engineering, or platform data operations 

•Strong proficiency in SQL and Python; experience with data modeling and dimensional concepts 

•Hands-on experience with Azure data services (e.g., Data Factory, Synapse, Databricks, Storage, Key Vault) or equivalent cloud tooling 

•Experience building reliable pipelines with scheduling, dependency management, and automated testing/validation 

•Experience supporting production data platforms with incident management, troubleshooting, and root cause analysis 

•Understanding of data security, privacy, and governance principles in enterprise environments 

Preferred Qualifications 

•Experience enabling AI/ML workloads: feature engineering, training data preparation, and integration with Azure Machine Learning 

•Experience with unstructured data processing for generative AI 

•Familiarity with vector databases or vector search and RAG patterns 

•Experience with event streaming and messaging 

•Familiarity with ServiceNow data model and integration patterns (Table API, export, CMDB/ITSM reporting) 

•Relevant certifications (Microsoft Azure Data Engineer, Azure AI Engineer, Databricks) 

Job Description - Senior AI Engineer

We are seeking an experienced Senior AI Engineer to join our dynamic team, driving

innovation in AI-driven solutions with a global impact. This role is specifically tailored for

a highly motivated professional with a strong technical background in Python and Java,

hands-on expertise in developing Retrieval-Augmented Generation (RAG)-based

chatbots, Machine Learning, Deep Learning, and solid cloud deployment experience,

preferably on AWS. As our Senior AI Engineer, you will spearhead the end-to-end

development lifecycle, including solution architecture, design, implementation,

deployment, and scaling of cutting-edge AI applications. Your leadership will ensure the

delivery of high-performance, reliable, and impactful solutions.

What You Will Do:

• Lead the design and development of AI-driven applications, particularly focusing on

RAG based chatbot solutions.

• Architect robust solutions leveraging Python and Java to ensure scalability, reliability,

and maintainability.

• Deploy, manage, and scale AI applications using AWS cloud infrastructure, optimizing

performance and resource utilization.

• Collaborate closely with cross-functional teams to understand requirements, define

project scopes, and deliver solutions effectively.

• Mentor team members, providing guidance on best practices in software

development, AI methodologies, and cloud deployments.

• Ensure solutions meet quality standards, including thorough testing, debugging,

performance tuning, and documentation.

• Continuously research emerging AI technologies and methodologies to incorporate

best practices and innovation into our products

Requirements

Required Skills & Qualifications

• Bachelor's or master's degree in computer science, Engineering, Data Science,

Mathematics, Statistics or related fields.

• At least 3 years of professional experience in AI/Machine Learning engineering.

• Strong programming skills in Python and Java.

• Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)-

based chatbots or similar generative AI applications.

• Proficiency in cloud platforms, particularly AWS, including experience with EC2,

Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway.

• Solid understanding of AI methodologies, including natural language processing (NLP),

vector databases, embedding models, and large language model integrations.

• Experience with leading projects or teams, managing technical deliverables, and

ensuring high-quality outcomes.

Preferred Qualifications:

• AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty).

• Familiarity with popular AI/ML frameworks and libraries such as Hugging Face

Transformers, TensorFlow, PyTorch, LangChain, or similar.

• Experience in Agile development methodologies.

• Excellent communication skills, capable of conveying complex technical concepts

clearly and effectively.

• Strong analytical and problem-solving capabilities, with the ability to navigate

ambiguous technical challenge

MERN Stack Developer(Hyderabad Location)

BeyondScale is a technology company on a mission to democratise AI for small and medium-sized businesses (SMBs). We're building Sitara, an AI-powered ERP suite of micro-apps designed specifically for the service sector. Imagine a pocket CRM, a pocket POS, and a suite of essential tools—all streamlined for simplicity and powered by intelligent automation.

Responsibilities:

• Develop and maintain robust and scalable web applications using the MERN stack (MongoDB, Express.js, React, Node.js).
• Design and implement efficient RESTful APIs to power the frontend.
• Build reusable, testable, and efficient code.
• Collaborate with cross-functional teams to deliver high-quality products.

Required Skills:

• 1+ years of hands-on experience with JavaScript development.
• Strong proficiency in Node.js for backend development.
• Solid understanding of MongoDB or other NoSQL databases.
• Experience with React or similar frontend frameworks is a plus.
• Ability to write clean, maintainable, and well-documented code.
• Strong problem-solving and debugging skills.
• Passion for learning new technologies and best practices.

Dynamic technical leader who can lead a cutting-edge product development team that is tasked with building world class business applications. This role reports to the CTO and will be responsible for engineering one of the key products lines of SmartDocs. 

Key Responsibilities: 

• Manage the end-to-end engineering process to ensure the product releases are released successfully as per the published product roadmap  
• Coordinate requirements prioritization and product managers 
• Release products with proper quality  
• Coordinate code reviews and ensure proper development guidelines are adhered to 
• Coordinate QA testing with QA teams 
• Coordinate proper documentation is released 
• Coordinate with DevOps engineers to maintain proper development landscape 
• Nurture and expand the dynamic development team that is nimble and can meet the requirements of the product managers 
  
  

Key experience and required skills: 

• At least 2 years' experience managing successful development teams building modern web applications in the role of “Developer Manager” or Engineering Manager” or higher 
• Experience as a senior Java developer for at least 2 years with full hands-on development experience 
• Excellent understanding of modern web application architectures and architecture patterns 
• Expertise in Agile and agile-type processes 
• Experience being part of SaaS product development is a definite plus 
• Significant experience in management reporting and communication to executive leadership teams 
  
  

Success Factors 

The ideal candidate would have been part of one or more startups that delivered modern web applications, preferably SaaS products in enterprise space. The ideal candidate will be a proper mix of management skills and technical prowess.  

What we offer 

SmartDocs is a modern progressive product company with the mission of delivering awesome Procure to Pay platform to medium and large enterprises to optimize and streamline business processes. We offer: 

• Awesome workplace  
• Cool benefits 
• Cutting tech stack 
• Socially Impactful products 
• Multiple learning opportunities 
  
  

What we expect 

We are looking for a dynamic leader with the following key traits 

• Responsibility 
• Accountability 
• Flexibility 
• Team player 
• Awesome communication skills 

We are looking for a Tele Sales Executive who is proficiency in customer-oriented tele sales executive to utilize outbound telephone calls to achieve sales targets.

Roles and Responsibilities:

• Candidate need to do outbound calls and explain about banking products like (Personal Loans, Credit Cards, Insurance plans, FD's, Investment Plans etc.,)
• Need to reach the monthly targets
• Need to resolve customer Queries
• Calling existing and potential customers to persuade them to purchase company products and services.

Requirements and Skills:

• Good interpersonal and communication skills
• Good Convincing skills

Qualification:

• Graduation (Any Stream)

Experience:

• 0-5 years

Location: Hyderabad

               Transportation Facility

Contact Details:

Name: Deepa

Responsibilities for Staff Engineer role:

• Having experience in Java along with Springboot, Micorservices, RDBMS
• Experience required: 6yrs to 8 yrs.