Shubham Vishwakarma
Full Stack Developer - Averlon
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Strong Product, UI/UX Designer Profile, with a focus on B2B SaaS/ Enterprise Products
Mandatory (Experience 1) – Must have 2+ years of hands-on experience in Product design, with a strong track record in B2B SaaS
Mandatory (Experience 2) – Must have experience in designing for complex domains such as automation platforms, low-code platforms, data management tools etc
Mandatory (Tools) – Proficient in Figma and familiar with modern design tools such as Notion, Framer, Webflow, Builder.io, Zapier, Replit, Lovable.
Mandatory (Portfolio) – Strong portfolio showcasing case studies, user research and UX work for B2B Enterprise SaaS products
Mandatory (Background) - BDes / MDes from Good Design college (Diploma not considered) OR B2B SaaS Company
Mandatory (Skill) - Must have Good Communication Skills
PythonSenior Generative AI Engineer
Job Id: QX016
About Us:
The QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights; businesses will continue to face challenges to better understand their customers and even lose them.
Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.
Job Summary:
We seek a highly experienced Senior Generative AI Engineer who focus on the development, implementation, and engineering of Gen AI applications using the latest LLMs and frameworks. This role requires hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. The Senior Gen AI engineer will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions.
Responsibilities:
· Build GenAI solutions such as virtual assistant, data augmentation, automated insights and predictive analytics
· Design, develop, and fine-tune generative AI models (GANs, VAEs, Transformers).
· Handle data preprocessing, augmentation, and synthetic data generation.
· Work with NLP, text generation, and contextual comprehension tasks.
· Develop backend services using Python or .NET for LLM-powered applications.
· Build and deploy AI applications on cloud platforms (Azure, AWS, GCP).
· Optimize AI pipelines and ensure scalability.
· Stay updated with advancements in AI and ML.
Skills & Requirements:
- Strong knowledge of machine learning, deep learning, and NLP.
- Proficiency in Python, TensorFlow, PyTorch, and Keras.
- Experience with cloud services, containerization (Docker, Kubernetes), and AI model deployment.
- Understanding of LLMs, embeddings, and retrieval-augmented generation (RAG).
- Ability to work independently and as part of a team.
- Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related field.
- 6+ years of experience in Gen AI, or related roles.
- Experience with AI/ML model integration into data pipelines.
Core Competencies for Generative AI Engineers:
1. Programming & Software Development
a. Python – Proficiency in writing efficient and scalable code with strong knowledge with NumPy, Pandas, TensorFlow, PyTorch and Scikit-learn.
b. LLM Frameworks – Experience with Hugging Face Transformers, LangChain, OpenAI API, and similar tools for building and deploying large language models.
c. API integration such as FastAPI, Flask, RESTful API, WebSockets or Django.
d. Knowledge of Version Control, containerization, CI/CD Pipelines and Unit Testing.
2. Vector Database & Cloud AI Solutions
a. Pinecone, FAISS, ChromaDB, Neo4j
b. Azure Redis/ Cognitive Search
c. Azure OpenAI Service
d. Azure ML Studio Models
e. AWS (Relevant Services)
3. Data Engineering & Processing
- Handling large-scale structured & unstructured datasets.
- Proficiency in SQL, NoSQL (PostgreSQL, MongoDB), Spark, and Hadoop.
- Feature engineering and data augmentation techniques.
4. NLP & Computer Vision
- NLP: Tokenization, embeddings (Word2Vec, BERT, T5, LLaMA).
- CV: Image generation using GANs, VAEs, Stable Diffusion.
- Document Embedding – Experience with vector databases (FAISS, ChromaDB, Pinecone) and embedding models (BGE, OpenAI, SentenceTransformers).
- Text Summarization – Knowledge of extractive and abstractive summarization techniques using models like T5, BART, and Pegasus.
- Named Entity Recognition (NER) – Experience in fine-tuning NER models and using pre-trained models from SpaCy, NLTK, or Hugging Face.
- Document Parsing & Classification – Hands-on experience with OCR (Tesseract, Azure Form Recognizer), NLP-based document classifiers, and tools like LayoutLM, PDFMiner.
5. Model Deployment & Optimization
- Model compression (quantization, pruning, distillation).
- Deployment using Azure CI/CD, ONNX, TensorRT, OpenVINO on AWS, GCP.
- Model monitoring (MLflow, Weights & Biases) and automated workflows (Azure Pipeline).
- API integration with front-end applications.
6. AI Ethics & Responsible AI
- Bias detection, interpretability (SHAP, LIME), and security (adversarial attacks).
7. Mathematics & Statistics
- Linear Algebra, Probability, and Optimization (Gradient Descent, Regularization, etc.).
8. Machine Learning & Deep Learning
a. Expertise in supervised, unsupervised, and reinforcement learning.
a. Proficiency in TensorFlow, PyTorch, and JAX.
b. Experience with Transformers, GANs, VAEs, Diffusion Models, and LLMs (GPT, BERT, T5).
Personal Attributes:
- Strong problem-solving skills with a passion for data architecture.
- Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.
- Highly collaborative, capable of working with cross-functional teams.
- Ability to thrive in a fast-paced, agile environment while managing multiple priorities effectively.
Why Join Us?
- Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
- Work on impactful projects that make a difference across industries.
- Opportunities for professional growth and continuous learning.
- Competitive salary and benefits package.
Ready to make an impact? Apply today and become part of the QX impact team!
Who we are :
Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.
What You Will Do :
As a Data Governance Developer at Kanerika, you will be responsible for building and managing metadata, lineage, and compliance frameworks across the organizations data ecosystem.
Required Qualifications :
- 4 to 6 years of experience in data governance or data management.
- Strong experience in Microsoft Purview and Informatica governance tools.
- Proficient in tracking and visualizing data lineage across systems.
- Familiar with Azure Data Factory, Talend, dbt, and other integration tools.
- Understanding of data regulations : GDPR, CCPA, SOX, HIPAA.
- Ability to translate technical data governance concepts for business stakeholders.
Tools & Technologies :
- Microsoft Purview, Collibra, Atlan, Informatica Axon, IBM IG Catalog
- Experience in Microsoft Purview areas :
1. Label creation and policy management
2. Publish/Auto-labeling
3. Data Loss Prevention & Compliance handling
4. Compliance Manager, Communication Compliance, Insider Risk Management
5. Records Management, Unified Catalog, Information Barriers
6. eDiscovery, Data Map, Lifecycle Management, Compliance Alerts, Audit
7. DSPM, Data Policy
Key Responsibilities :
- Set up and manage Microsoft Purview accounts, collections, and access controls (RBAC).
- Integrate Purview with data sources : Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake.
- Schedule and monitor metadata scanning and classification jobs.
- Implement and maintain collection hierarchies aligned with data ownership.
- Design metadata ingestion workflows for technical, business, and operational metadata.
- Enrich data assets with business context : descriptions, glossary terms, tags.
- Synchronize metadata across tools using REST APIs, PowerShell, or ADF.
- Validate end-to-end lineage for datasets and reports (ADF ? Synapse ? Power BI).
- Resolve lineage gaps or failures using mapping corrections or scripts.
- Perform impact analysis to support downstream data consumers.
- Create custom classification rules for sensitive data (PII, PCI, PHI).
- Apply and manage Microsoft Purview sensitivity labels and policies.
- Integrate with Microsoft Information Protection (MIP) for DLP.
- Manage business glossary in collaboration with domain owners and stewards.
- Implement approval workflows and term governance.
- Conduct audits for glossary and metadata quality and consistency.
- Automate Purview operations using :
- PowerShell, Azure Functions, Logic Apps, REST APIs
- Build pipelines for dynamic source registration and scanning.
- Automate tagging, lineage, and glossary term mapping.
- Enable operational insights using Power BI, Synapse Link, Azure Monitor, and governance APIs.
Machine Learning (ML)Request for Proposal (RFP): AI Receptionist for Helvetica Incoming Broker Calls
Company Overview
Helvetica Group is a direct commercial real estate lender and investment bank, specializing in providing alternative financing solutions for complex real estate transactions. We focus on fast, innovative, and common-sense underwriting to serve brokers, investors, and borrowers nationwide.
Website: helveticagroup.com
Project Overview
We are seeking an experienced AI Engineer to design and implement an AI Receptionist using Retell AI and Make (formerly Integromat). This AI Receptionist will handle incoming broker calls, collect loan request details, integrate with Salesforce, and automate follow-up communications.
Scope of Work
The solution should:
- Receive Incoming Calls
- Integrate with our phone system and Retell AI to answer broker calls professionally.
- Detect caller intent and initiate a structured loan intake conversation.
- Prompt Loan Request Details
- Use natural language conversation to gather key loan scenario data:
- Borrower and broker information
- Property type, location, value
- Loan amount requested, purpose, and timeline
- Any special circumstances (e.g., foreclosure bailout, BK buyout, etc.)
- Data Handling & Automation
- Send collected call details to Salesforce as a new Lead.
- Email a summary of the loan request to our broker group.
- Send an automated confirmation email to the caller.
- Send an SMS confirmation text to the caller with a thank-you and next steps.
- Integration Requirements
- Use Retell AI for call handling and voice interactions.
- Use Make for workflow automation (Salesforce, email, SMS).
- Ensure all data flows securely and complies with applicable regulations.
Deliverables
- Fully functional AI Receptionist integrated with our systems
- Retell AI call flow design and scripts tailored to Helvetica's lending guidelines
- Make (Integromat) scenarios for:
- Salesforce lead creation
- Email notifications (internal and external)
- SMS confirmation to caller
- Documentation for setup, maintenance, and future scaling
- Optional: Dashboard for call analytics and performance monitoring
Skills Required
- Experience with Retell AI (or similar conversational AI voice platforms)
- Expertise in Make (Integromat) or similar workflow automation tools
- Strong knowledge of Salesforce API integrations
- Experience with Twilio or other SMS/email APIs is a plus
- Understanding of secure data handling and compliance (preferred)
Proposal Requirements
Please include in your proposal:
- Relevant experience with Retell AI, Make, and Salesforce integrations
- Portfolio of similar AI automation projects (voice + CRM)
- Estimated timeline for project completion
- Proposed budget and pricing structure
- Any additional recommendations to enhance this solution
Timeline
- Proposal Submission Deadline: [Insert Date]
- Project Kickoff: [Insert Date]
- Expected Completion: Within 4-6 weeks from kickoff
Budget
We are open to proposals with fixed price or hourly rates. Please provide a clear breakdown of your pricing.
How to Apply
Submit your proposal directly through Upwork, including all requested details.
Would you also like me to include:
- Sample call flow conversation script (to attract engineers who understand the flow)?
- Technical architecture diagram (for clarity on integrations)?
- I can draft both to include in your posting. Shall I proceed?
- 5+ Years of experience in performance testing
- Must have proven experience in JMeter.
- Willing to join in a short notice period (20-25 days)
- Excellent proficiency in architecting and designing performance tests at an enterprise/application level on a variety of technical stacks based on the understanding of the architecture
- Excellent analytical skills and proficiency to dig down and pinpoint performance issues and recommend probable tuning solutions
Kubernetes
Docker
Amazon Web Services (AWS)Karkinos Healthcare Pvt. Ltd.
The fundamental principle of Karkinos healthcare is democratization of cancer care in a participatory fashion with existing health providers, researchers and technologists. Our vision is to provide millions of cancer patients with affordable and effective treatments and have India become a leader in oncology research. Karkinos will be with the patient every step of the way, to advise them, connect them to the best specialists, and to coordinate their care.
Karkinos has an eclectic founding team with strong technology, healthcare and finance experience, and a panel of eminent clinical advisors in India and abroad.
Roles and Responsibilities:
- Critical role that involves in setting up and owning the dev, staging, and production infrastructure for the platform that uses micro services, data warehouses and a datalake.
- Demonstrate technical leadership with incident handling and troubleshooting.
- Provide software delivery operations and application release management support, including scripting, automated build and deployment processing and process reengineering.
- Build automated deployments for consistent software releases with zero downtime
- Deploy new modules, upgrades and fixes to the production environment.
- Participate in the development of contingency plans including reliable backup and restore procedures.
- Participate in the development of the end to end CI / CD process and follow through with other team members to ensure high quality and predictable delivery
- Participate in development of CI / CD processes
- Work on implementing DevSecOps and GitOps practices
- Work with the Engineering team to integrate more complex testing into a containerized pipeline to ensure minimal regressions
- Build platform tools that rest of the engineering teams can use.
Apply only if you have:
- 2+ years of software development/technical support experience.
- 1+ years of software development, operations experience deploying and maintaining multi-tiered infrastructure and applications at scale.
- 2+ years of experience in public cloud services: AWS (VPC, EC2, ECS, Lambda, Redshift, S3, API Gateway) or GCP (Kubernetes Engine, Cloud SQL, Cloud Storage, BIG Query, API Gateway, Container Registry) - preferably in GCP.
- Experience managing infra for distributed NoSQL system (Kafka/MongoDB), Containers, Micro services, deployment and service orchestration using Kubernetes.
- Experience and a god understanding of Kubernetes, Service Mesh (Istio preferred), API Gateways, Network proxies, etc.
- Experience in setting up infra for central monitoring of infrastructure, ability to debug, trace
- Experience and deep understanding of Cloud Networking and Security
- Experience in Continuous Integration and Delivery (Jenkins / Maven Github/Gitlab).
- Strong scripting language knowledge, such as Python, Shell.
- Experience in Agile development methodologies and release management techniques.
- Excellent analytical and troubleshooting.
- Ability to continuously learn and make decisions with minimal supervision. You understand that making mistakes means that you are learning.
Interested Applicants can share their resume at sajal.somani[AT]karkinos[DOT]in with subject as "DevOps Engineer".
Angular (2+)
AngularJS (1.x)Title :- Frontend Angular Developer
**Candidate should be fine with deployment at client location- CHANDIGARH
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4 to 7 years of experience in Frontend technologies
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Deep knowledge of Angular 7/8/9/10 practices and commonly used modules based on extensive work experience
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Proven experience implementing front-end and back-end JavaScript applications.
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Hands-on Experience in designing, coding, and delivery of UI Solutions based on Angular, jQuery, JSON, JSONP
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Proficient in CSS, HTML, and writing cross-browser compatible code
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Creating self-contained, reusable, and testable modules and components
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Must have experience of working with .NET API integration.
-
Must have good communication skills
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Job Title: |
Senior Cloud Infrastructure Engineer (Azure) |
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Department & Team |
Technology |
Location: |
India |
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Reporting To: |
Enterprise Solutions Architect |
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Role Purpose: |
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The purpose of the role is to ensure high systems availability across a multi-cloud environment, enabling the business to continue meeting its objectives.
This role will be mostly Azure / Windows / Active Directory / Azure AD focused but will include a requirement to understand comparative solutions in AWS.
Desire to maintain full hands-on status but to add Team Lead responsibilities in future
Client’s cloud strategy is based around a dual vendor solutioning model, utilising AWS and Azure services. This enables us to access more technologies and helps mitigate risks across our infrastructure.
The Infrastructure Services Team is responsible for the delivery and support of all infrastructure used by Client twenty-four hours a day, seven days a week. The team’s primary function is to install, maintain, and implement all infrastructure-based systems, both On Premise and Cloud Hosted. The Infrastructure Services group already consists of three teams:
1. Network Services Team – Responsible for IP Network and its associated components 2. Platform Services Team – Responsible for Server and Storage systems 3. Database Services Team – Responsible for all Databases
This role will report directly into the Enterprise Solutions Architect and will have responsibility for the day to day running of the Azure public cloud platform, as well as playing a key part in designing best practise solutions. It will enable the Client business to achieve its stated objectives by playing a key role in the Infrastructure Services Team to achieve world class benchmarks of customer service and support.
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Responsibilities: |
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Operations · Deliver end to end technical and user support across all cloud platforms (Primarily Azure) · Day to day, fully hands-on OS management responsibilities (Primarily Windows Server OS) · Contribute to continuous improvement efforts around cost optimisation, security enhancement, performance optimisation, operational efficiency and innovation. · Take an ownership role in delivering technical projects, ensuring best practise methods are followed. · Design and deliver solutions around the concept of “Planning for Failure”. Ensure all solutions are deployed to withstand system / AZ failure. · Work closely with Cloud Architects / Infrastructure Services Manager to identify and eliminate “waste” across cloud platforms. · Ensure robust tagging strategy followed in the organisation with accurate cost allocation of resources in Azure. · Ensure all Client data in all forms are backed up in a cost-efficient way. · Use the appropriate monitoring tools to ensure all cloud / on-premise services are continuously monitored. · Drive utilisation of most efficient methods of resource deployment. · Drive the adoption, across the business, of serverless / open source / cloud native technologies where applicable. · Ensure system documentation remains up to date and designed according to Azure best practise templates. · Participate in detailed architectural discussions, calling on internal/external subject matter experts as needed, to ensure solutions are designed for successful deployment. · Take part in regular discussions with business executives to translate their needs into technical and operational plans. · Engaging with vendors regularly in terms of verifying solutions and troubleshooting issues. · Designing and delivering technology workshops to other departments in the business. · Takes initiatives for improvement of service delivery. · Ensure that Client delivers a service that resonates with customer’s expectations, which sets Client apart from its competitors. · Help design necessary infrastructure and processes to support the recovery of critical technology and systems in line with contingency plans for the business. · Continually assess working practices and review these with a view to improving quality and reducing costs. · Champions the new technology case and ensure new technologies are investigated and proposals put forward regarding suitability and benefit. · Motivate and inspire the rest of the infrastructure team and undertake necessary steps to raise competence and capability as required. · Help develop a culture of ownership and quality throughout the Infrastructure Services team.
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Skills & Experience: |
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· Microsoft Azure Solutions Architect Expert AZ-303– REQUIRED · Microsoft Certified Professional ( MCP ) – REQUIRED · AWS Certified Cloud Practicioner - Preferred · Must be able to demonstrate working knowledge of designing, implementing and maintaining best practise Azure solutions. · Strong working knowledge of on-prem Active Directory, including GPO and Azure AD · Proven examples of ownership of large Azure project implementations in Enterprise settings. · Enterprise production experience of deploying infrastructure as code using Terraform · Experience managing the monitoring of infrastructure / applications using tools including Cloud native, Solarwinds, New Relic, etc. · Must have practical working knowledge of driving cost optimisation, security enhancement and performance optimisation. · Solid understanding and experience of transitioning IaaS solutions to serverless technology · Need to be able to demonstrate security best-practise when designing solutions in Azure. · Working experience of ‘On Premise to Cloud’ migrations · Good working knowledge around WAN connectivity and how this interacts with the various entry point options into Azure public cloud. · Production knowledge of Windows file servers / DFS · Strong experience in desktop virtualisation technologies in Azure · Good appreciation of ISO27001, ITIL and Project management · Good understanding of new and emerging technologies · Excellent presentation skills to both an internal and external audience · The ability to share your specific expertise to the rest of the Technology group · |
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Behavioural Fit: |
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· Professional appearance and manner · High personal drive; results oriented; makes things happen; “can do attitude” · Can work and adapt within a highly dynamic and growing environment · Team Player; effective at building close working relationships with others · Effectively manages diversity within the workplace · Strong focus on service delivery and the needs and satisfaction of internal clients · Able to see issues from a global, regional and corporate perspective · Able to effectively plan and manage large projects · Excellent communication skills and interpersonal skills at all levels · Strong analytical, presentation and training skills · Innovative and creative · Demonstrates technical leadership · Visionary and strategic view of technology enablers (creative and innovative) · High verbal and written communication ability, able to influence effectively at all levels · Possesses technical expertise and knowledge to lead by example and input into technical debates · Depth and breadth of experience in infrastructure technologies · Enterprise mentality and global mindset · Sense of humour
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Role Key Performance Indicators: |
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· Design and deliver repeatable, best in class, cloud solutions. · Pro-actively monitor service quality and take action to scale operational services, in line with business growth. · Generate operating efficiencies, to be agreed with Infrastructure Services Manager. · Establish a “best in sector” level of operational service delivery and insight. · Help create an effective team. |
Job description
Role Overview:The Telesales & Service Associate of Bharat Matrimony sells paid memberships over phone to clients who are looking for matrimony alliances. The job is to reach out to various customers over phone, explain them the product & features and deliver value to the customers.
Key Responsibilities
- Responsible for making outbound calls and regular follow up on leads assigned.
- Build a strong relationship / trust with customers by understanding the customer requirements and suggesting the right product to the Customers.
- Selling Membership over the phone and achieve the targeted sales numbers & value, set quality parameters
- Explaining the product features in detail and how to use the packages.
- Understand the Customer requirements, encourage them to upgrade / renew the matrimony packages.
- Address all the issues / grievances of customers and provide the right customer experience.
- Capture the insights from customer interactions and share it with the internal team.
- Strictly adhere to the process requirements.
Skill and Competencies required:
Functional
- Business Knowledge Process Knowledge
- Product Knowledge
- Customer Orientation
- Language skills English / Regional language
- Telemarketing / Selling Skills
- Basic computer skills MS Excel, Word
Behavioral
- Values Integrity / Honesty / Respect
- Communication Oral & Written skills / Listening
- Executive Presence
- Business / Telephone Etiquette
- Influencing Skills
- Empathy
- Self-driven / Initiative
- Ability to manage stress
- Willingness to learn
Education and Experience:Graduate in any stream / Awaiting final year result / Graduate with arrears can also apply Minimum of 6 Months 4 years experience in Telesales / Tele-calling / Telemarketing / Collections / Retention / Domestic BPO / Direct Sales / Telecom / Insurance / Customer Engagement process or domain
Salary and Benefits
- Fixed Salary Rs. 1.5 LPA to Rs 2.00 LPA per Annum plus
- Incentive Rs. 36000/- to Rs.60000/- per Annum
- Statutory Benefits viz. PF, ESI, Bonus, Gratuity, Leave all provided
- Opportunities to learn and grow with the Company
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon