UI/UX Designer

Job Description – Pre Sales Executive 

Location: Kumaraswamy Layout, Bengaluru 

Industry: IT Services & Digital Solutions 

Salary Package: ₹2.5 LPA – ₹5 LPA (incentive) 

About the Company 

We are a fast-growing IT services company specializing in Website Development, Software & Mobile App Development, ERP, CRM & Billing Software, along with Digital Marketing Services such as SEO, Google Ads, Meta Ads, and Social Media Marketing. We work with schools, colleges, SMEs, startups, and enterprises to deliver scalable digital solutions. 

Role Overview 

We are looking for a Pre Sales Executive – Inside Pre-Sales to support client acquisition and business growth for our Website Development, Mobile App Development, Software Solutions, ERP, CRM, and Digital Marketing services. This is an inside sales role focused on lead generation, cold calling, client qualification, follow-ups, and scheduling meetings for the field/closing sales team. 

Key Responsibilities 

● Generate leads through cold calling, database calling, LinkedIn, and inbound inquiries 

● Make outbound calls to potential clients and explain company IT services 

● Understand client requirements and qualify prospects 

● Schedule meetings or product demos for the sales team 

● Follow up consistently to nurture leads 

● Maintain accurate records of calls, leads, and follow-ups in CRM 

● Achieve daily, weekly, and monthly calling and lead generation targets 

● Coordinate with sales and technical teams for smooth handover of qualified leads 

● Maintain professional communication with prospects 

Required Skills & Qualifications 

● Bachelor’s degree in Business, Marketing, IT, or related to sales 

● 1–5 years of experience in sales / IT sales / B2C sales 

● Strong communication, negotiation, and presentation skills 

● Basic understanding of IT services, software, website, application development, ERP/CRM, and digital marketing 

● Self-driven, target-oriented 

● Ability to handle objections and close deals effectively 

Preferred Candidate Profile 

● Experience in IT services, software sales, ERP/CRM, or digital marketing sales 

What We Offer 

● Competitive salary ₹2.5 LPA – ₹5 LPA (incentive) 

● Attractive performance-based incentives & commissions 

● Career growth opportunities in a fast-growing IT company 

● Hands-on exposure to multiple IT and digital products 

● Supportive team and learning-oriented work environment 

Job Type: Full-time 

Pay: ₹20,000.00 - ₹25,000.00 per month 

Benefits: 

Provident Fund 

Work Location: In person

Must have experience in Java

Must have experience in Spark

Must have experience in ETL coding

Strong expertise in coding

POSITION OVERVIEW

We are seeking an experienced Senior Data Scientist & Generative AI Specialist on a contractual basis to support a premier Germany-based chemical manufacturing enterprise. In this role, you will lead the end-to-end design, development, and deployment of production-grade GenAI applications, multi-modal LLM workflows, and advanced retrieval platforms tailored to complex industrial and enterprise data ecosystems.

Working closely with cross-functional global teams, you will build robust backend microservices, implement state- of-the-art RAG/GraphRAG architectures, and leverage cloud-native AI infrastructure (Azure, Vector DBs, Knowledge Graphs) to drive operational efficiency and data-driven innovation.

KEY RESPONSIBILITIES

• GenAI & LLM System Engineering: Design, build, and deploy production-grade multi-modal GenAI applications processing text, structured technical documentation, images, and telemetry data.
• Advanced RAG & Graph Architecture: Implement cutting-edge Retrieval-Augmented Generation (RAG) and GraphRAG pipelines using document parsing frameworks, custom embeddings, vector databases, and knowledge graphs to capture complex domain relationships.
• Scalable Backend Development: Architect high-throughput, low-latency microservice APIs using Python, FastAPI, and Flask, leveraging asynchronous programming (asyncio) and strict type validation (Pydantic) for long-running LLM processes.
• Agentic Systems & Azure Ecosystem: Build autonomous agent systems using modern frameworks (MCP, A2A) and orchestrate enterprise workflows across the Microsoft Azure AI ecosystem (Azure AI Foundry, AI Search, Document Intelligence, Databricks).
• Model Optimization & Evaluation: Execute systematic LLM fine-tuning, prompt optimization, and rigorous evaluation frameworks to assess AI output accuracy, reliability, and business impact against industrial requirements.
• Data Layer Management: Architect and maintain enterprise database layers combining SQL (PostgreSQL) for structured transactional data with specialized vector search engines and graph stores.
• Rapid Prototyping: Utilize AI-assisted development tools (Copilot, Claude Code) to accelerate delivery timelines and rapidly build functional UI prototypes for client feedback.

TECHNICAL QUALIFICATIONS

Core Development & Backend:

• Python Mastery: Deep expertise in writing clean, production-ready Python using asynchronous programming (asyncio), strict type-hinting (Pydantic), and automated testing patterns.

• Backend Microservices: Hands-on experience building microservices with FastAPI and Flask structured to handle asynchronous, long-running AI background tasks.

• Database Engineering: Strong command of PostgreSQL, relational schema design, vector indexing, and knowledge graph paradigms.

Machine Learning & AI Infrastructure:

• Model Expertise: Hands-on experience with leading multi-modal LLM architectures (OpenAI, Anthropic, Google) and domain-specific AI workflows.

• Retrieval & Parsing: Proven track record with document extraction frameworks, embedding models, vector search engines, and GraphRAG architectures.

• Cloud Infrastructure: Strong proficiency with Azure AI infrastructure (Foundry, Databricks, AI Search, Document Intelligence).

• Agentic Frameworks: Practical experience with open-source agent protocols (MCP, A2A), parameter-efficient fine-tuning (PEFT/LoRA), and model evaluation methodology.

CONTRACT & REMOTE REQUIREMENTS

• Contract Engagement: Contractual structure tailored to project milestones and deliverables.

• 100% Remote Setup: Fully equipped home office with high-speed, secure internet infrastructure.

• Timezone Overlap: Guaranteed 4-hour daily overlap with Central European Time (CET/CEST - Germany) to ensure smooth collaboration with enterprise stakeholders.

• Communication: Fluent professional English communication skills (written and spoken) for asynchronous and real-time technical coordination. 

Role Overview:

Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs).

You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale.

Key Responsibilities:

● Design and implement scalable ML systems, from experimentation to deployment.

● Build and maintain end-to-end data pipelines for data ingestion, preprocessing, feature engineering, and monitoring.

● Lead the development and deployment of ML models across a variety of use cases — including classical ML and LLM-based applications like summarization, classification, document understanding, and more.

● Define model training and evaluation pipelines, ensuring reproducibility and performance tracking.

● Apply statistical methods to interpret data, validate assumptions, and inform modeling decisions.

● Collaborate cross-functionally with engineers, data analysts, and product managers to solve high-impact business problems using ML.

● Ensure proper MLOps practices are in place for model versioning, monitoring, retraining, and performance management.

● Keep up-to-date with the latest advancements in AI/ML, and actively evaluate and incorporate LLM capabilities and frameworks into solutions.

● Mentor junior ML engineers and data scientists, and help scale the ML function across the organization.

Required Qualifications:

● 7+ years of hands-on experience in ML/AI, building real-world ML systems at scale.

● Proven experience with classical ML algorithms (e.g., regression, classification,

clustering, ensemble models).

● Deep expertise in modern LLM frameworks (e.g., OpenAI, HuggingFace, LangChain)

and their integration into production workflows.

● Strong experience with Python, and frameworks such as Scikit-learn, TensorFlow,

PyTorch, or equivalent.

● Solid background in statistics and the ability to apply statistical thinking to real-world

problems.

● Experience with data engineering tools and platforms (e.g., Spark, Airflow, SQL,

Pandas, AWS Glue, etc.).

● Familiarity with cloud services (AWS preferred) and containerization tools (Docker,

Kubernetes) is a plus.

● Strong communication and leadership skills, with experience mentoring and guiding

junior team members.

● Self-starter attitude with a bias for action and ability to thrive in fast-paced environments.

● Master’s degree in Machine Learning, Artificial Intelligence, Statistics, or a related

field is preferred.

Preferred Qualifications:

● Experience deploying ML systems in microservices or event-driven architectures.

● Hands-on experience with vector databases, embeddings, and retrieval-augmented

generation (RAG) systems.

● Understanding of Responsible AI principles and practices.

Why Join Us?

● Lead the ML charter in a mission-driven company solving real-world challenges.

● Work on cutting-edge LLM use cases and platformize ML capabilities for scale.

● Collaborate with a passionate and technically strong team in a high-impact environment.

● Competitive compensation, flexible working model, and ample growth opportunities.

Document Customer Interactions: Accurately record customer interactions, issues, and resolutions in our CRM system.

Escalate Complex Issues: Escalate complex or unresolved issues to the appropriate team or supervisor.

Provide Product/Service Information: Educate customers on our products and services, and guide them through using our platform.

Process Orders and Returns: Assist customers with placing orders, processing returns, and managing their accounts.

Gather Customer Feedback: Collect and analyze customer feedback to identify areas for improvement.

Maintain Product Knowledge: Stay up-to-date on product updates, company policies, and industry trends.

Meet Performance Metrics: Achieve and maintain established performance metrics, such as response time, resolution rate, and customer satisfaction scores.

Contribute to Team Goals: Collaborate with team members to achieve departmental goals and improve overall customer support processes.

Create Knowledge Base Articles/FAQ's: Depending on the role, you may be asked to create content to aid in customer self service.

Job description

• The BASE24 Developer at Concerto will independently own the responsibility of Development and Support
• A quick learner, proactive to changing requirements and an excellent team player is what we are looking for

Responsibilities

• Should have good understanding on BASE24 application architecture and design
• Excellent development and troubleshooting skills
• Good team player who should be able to drive internal teams and perform effective customer management
• Ensure the availability of the environment during ST,SIT, UAT
• Debug and fix system failure errors Run the Install Plans
• Review and test the install plan
• Rebuild of environments
• Ensure environment related issues are addressed on time

Essential Skills

• Expertise on ATM & POS functionality, Transaction Switching and EMV
• Understanding of Base24 source codes, change and release management, application debugging and problem resolution
• Excellent analytical and troubleshooting skills experience on Base24 ATM, POS, Schemes In-depth knowledge of Base24 Switch application
• Understanding of TAL, COBOL, S-COBOL
• Proficiency in written and spoken English Strong communication skills

Skills good-to-have:

Working experience on project Implementation in a bank or processor environment using Base24

Knowledge of transaction testing tools or simulators

Startup/shutdown maintenance of Tandem system

Deployment of code into ST, SIT and UAT environments.

Agile and scrum methodologies Knowledge of source code version control tool

Role: Software Development - Other

Industry Type: IT Services & Consulting

Department: Engineering - Software & QA

Employment Type: Full Time, Permanent

Role Category: Software Development

Xfinito is building a portfolio of  new product innovation, product contribution and infrastructure goals while providing individuals and teams the freedom to emphasize specific types of work.

Our work focuses on real –world problems that span the breadth of biomedical engineering, embedded systems, computer science, such as machine and deep learning, data mining, natural language processing, hardware and software performance analysis and much more.

Job Role: FULL STACK DEVELOPER-AWS

Roles And Responsibilities:

• Write well designed, testable, efficient code by using best software development practices.
• Work with agile teams as they perform feature level design, development, testing, performance analysis and document to ensure that software meets business needs
• Contribute to software architecture and design
• Develop the required technical pieces/ end-to-end solutions for multi layered applications on a variety of technology stacks
• Conduct code review to ensure code following the code best practices guidelines
• Support for deployment and maintenance applications
• Ability to lead a module development and take it to completion.

REQUIREMENTS:

• Knowledge of multiple front –end languages and libraries (e.g HTML/CSS, JavaScript, XML, jQuery)
• Familiarity with databases (e.g MySQL, MongoDB), web servers (e.g Apache) and UI/UX design and with common stacks
• Excellent communication, teamwork and organizational skills.
• Knowledge in OOP, design patterns, AWS containers, microservices, serverless implementation

EXPERIENCE:

We as a team are looking for freshers or young professionals with (0-4 years of experience) passion and eagerness to challenge themselves with complex technical projects and provide iterative solutions that provide value each step of the way.