Senior Product Designer ( FROM B2B PRODUCT BASED ONLY!)

Forward-deployed engineers (FDEs) are Mactores' services layer. You embed with the customer's team, own outcomes from discovery through the production cutover, and personally carry the delivery commitment.

The agent platform we deploy absorbs 60–70% of engagement work, discovery, assessment, design, and testing. You absorb the judgment: target architecture, refactoring trade-offs, model selection, cutover strategy, and the decisions an agent platform cannot make. The agent absorbs scale. You absorb judgment. 

This is not a staff-augmentation seat and not an advisory role. You ship.

What you will do?

• Deliver production agentic AI systems and AWS modernization engagements on committed dates across three pillars: Data Platform Modernization, Application & Database Modernization, and AI Agents for Apps.
• Build and productionize AI agents, orchestration, retrieval pipelines, evaluation harnesses, observability running against real customer data, not demo data.
• Convert existing products into agents: expose product functionality as callable tools for agent-to-agent composition, or replace form-and-click UX with agent-native, intent-driven interfaces.
• Convert existing Business processes into agents: expose process functionality as callable tools for agent-to-agent composition, or replace form-and-click UX with agent-native, intent-driven interfaces.
• Embed directly with customer engineering teams. Run architecture sessions, defend design decisions, and align stakeholders from VP Engineering to CTO.
• Make agent decisions traceable and defensible, validation runs in parallel with live workloads, and outputs hold up to internal audit and regulators (HIPAA, PCI-DSS, FSI-grade governance where the vertical demands it).
• Feed field experience back into the platform and practice: your deployment patterns, integration playbooks, and edge cases shape how we deliver.

What are we looking for?

• Excellent communication skills (English) — verbal and written. Non-negotiable. You will present architecture to customer CTOs, write documents that hold up in audit, and defend judgment calls in the room. If you can build but not explain, this role is not a fit.
• You have shipped production agentic AI systems on AWS. Not POCs, not notebooks — systems running in production for real users. This is the primary qualification. Be prepared to walk through what you shipped, the decisions you made, and what broke.
• Deep understanding of agentic architecture — you can design an agent system from first principles and explain why each component exists:
• Agent design patterns: single-agent vs. multi-agent systems, supervisor/orchestrator patterns, hierarchical agent topologies, planner–executor separation, and when each applies.
• Orchestration: building and operating orchestrator agents that decompose tasks, route work to specialist agents or tools, and manage state across multi-step workflows (LangGraph, Strands Agents, CrewAI, or equivalent).
• Memory: short-term/working memory (context management, conversation state) and long-term memory (episodic and semantic stores, vector- and graph-backed retrieval), and the production trade-offs of each.
• Reflection and self-correction: critique loops, self-evaluation, retry-with-feedback patterns, and evaluation harnesses that catch agent failures before customers do.
• Tool use and function calling: schema design, tool-selection reliability, error handling, and agent-to-agent composition.
• RAG and retrieval pipelines: chunking, embedding, hybrid retrieval, reranking, and grounding agent decisions in customer data.
• Strong AWS production experience: Amazon Bedrock and AWS AI services, plus core platform services (Lambda, API Gateway, DynamoDB, RDS/Aurora, Glue, EMR, Redshift, Kinesis, or similar depending on specialization).
• Solid software engineering fundamentals Python, TypeScript, CI/CD, infrastructure-as-code, testing-driven development discipline.
• Experience with data or application modernization (database migration, legacy refactoring, data platform builds) is a strong plus, since agents run against these workloads.
• Indicative experience: roughly 3–10 years in engineering roles, with agentic AI / GenAI as your current day job. We have demonstrated agent-native expertise over tenure — an engineer with 3–4 years of hands-on agentic AI work typically outperforms a 12-year generalist on this work.

You'll be preferred if you've:

• US English verbal and written fluency 
• Delivery experience in one or more of our verticals: Financial Services, Healthcare & Life Sciences, Internet & Software, Manufacturing, or Telco/Media/Entertainment/Gaming/Sports.
• Model tuning and fine-tuning: systematic prompt engineering and optimization; parameter-efficient fine-tuning (LoRA/QLoRA or similar); instruction tuning; working knowledge of RLHF/DPO; sound judgment on when to fine-tune vs. prompt vs. RAG; and evaluation of tuned models against baselines. Fine-tuning experience on Amazon Bedrock or SageMaker is a plus.
• Experience with compliance-sensitive AI systems (HIPAA, PCI-DSS, SOC 2, data residency).
• Knowledge graph, code-analysis (AST), or CDC/streaming experience (Debezium, Kafka/MSK).
• Solid software engineering fundamentals — Java, C++, Go Lang, .Net, Rust
• Prior customer-facing consulting or forward-deployed experience.
• AWS certifications (Solutions Architect Professional, Machine Learning Specialty, or Data Analytics).

Why This Role?

• You own outcomes, not tickets. FDEs carry the delivery commitment personally — architecture, judgment, and cutover are yours.
• You work agent-native from day one. Our delivery model would not function without agents. You build with the platform, not around it.
• You ship. Engagements measured in weeks to production, legacy retired, outcomes named. No archived pilots.
• You compound. Field delivery informs the Aedeon platform roadmap; the platform's growth expands what you can deliver. Few engineering roles sit in that loop.

Job Title : IAM Architect (AI Security & Identity)

Experience : 10+ Years

Location : Mumbai (Goregaon East)

Work Mode : Hybrid – 3 Days Work From Office

Contract Duration : 12 Months

Background Verification (BGV) : Mandatory

Job Summary :

We are looking for an experienced IAM Architect to design and implement secure Identity & Access Management (IAM) architectures for enterprise applications, with a focus on AI-enabled solutions.

The ideal candidate should have deep expertise in authentication, authorization, privileged access management, identity lifecycle, and modern identity standards.

Mandatory Skills :

Architect-level IAM expertise, Identity Lifecycle Management (ILM), Access Provisioning, Privileged Access Management (PAM), OIDC, OAuth2, SAML, LDAP, Kerberos, REST APIs, Java/.NET, Microservices, React/Angular, Linux Shell & PowerShell scripting, AI/LLM security, Agentic AI, Secure Token/Credential Management, MCP (or similar) integration, Enterprise IAM Architecture.

Key Responsibilities :

• Design enterprise IAM architecture and reusable security patterns.
• Define secure authentication and authorization models for workforce, customer, and non-human identities.
• Integrate modern authentication protocols (OIDC, OAuth2, SAML) into enterprise applications.
• Develop architecture documents, threat models, security controls, and implementation guidelines.
• Build POCs and validate IAM solutions through APIs, middleware, and policy enforcement.
• Drive secure adoption of AI/Agentic solutions within IAM while ensuring governance and compliance.
• Collaborate with engineering, security, and business stakeholders to implement best practices.

Required Skills :

• Architect-level experience in Identity & Access Management (IAM).
• Strong expertise in Identity Lifecycle Management, Access Provisioning, and Privileged Access Management (PAM).
• Hands-on knowledge of OIDC, OAuth2, SAML, LDAP, Kerberos, REST APIs (SOAP is a plus).
• Experience with Java and/or .NET, microservices, and modern web technologies (React/Angular).
• Scripting experience with Linux Shell and PowerShell.
• Understanding of AI/LLM security, agent-based architectures, token/credential management, and secure tool integrations (MCP or similar).
• Excellent communication and documentation skills.

Preferred :

• Experience in Financial Services or other regulated industries.
• Experience defining enterprise IAM standards and reference architectures adopted across multiple teams. 

Conceptualize, design, and develop innovative soft home furnishing products such as decorative cushions, bedspreads, curtains, throws, and table linen for export markets.

Create detailed CADs and design presentations using Adobe Photoshop and other computer-aided design tools.

Research and forecast international color, fabric, print, and market trends to develop commercially viable product collections.

Understand buyer requirements, themes, and specifications to create customized product designs and samples accordingly.

Coordinate with tailors, artisans, and production teams for sample development and execution of new product ideas.

Ensure timely completion of sampling, product development, and design approvals as per buyer deadlines.

Maintain high standards of creativity, quality, and attention to detail in all design and development activities.

Work closely with merchandising and production teams to ensure smooth communication and workflow.

Prepare design sheets, product specifications, and presentations for internal teams and buyers.

Use MS Office applications such as Excel, Word, and Outlook for documentation, reporting, and communication purposes.

Possess strong organizational, interpersonal, and communication skills with the ability to work proactively in a team environment.

Candidate should have a good command of written and spoken English and preferably be based in Gurgaon.

MLOps | Exp- 10 + yrs

Working Shift Hour - Anytime in between 11 am to 11pm. ( It can start from 11am, 12am , 1pm or 2 pm)

Location- Remote ( C2C Oppurtunity)

Required Skills:

• Expertise in deploying Tensorflow and PyTorch. Experience with both computer vision and language models strongly preferred.
• The ability to select and transform features at scale for BERT-based models.
• Setting up monitoring and evaluation metrics in Sagemaker.
• Creating A/B tests for ML models in Sagemaker.
• Expertise in model deployment and orchestration.

Experience:

• Deploying transformer-based models with Tensorflow or PyTorch in production workflows.
• Resource selection, evaluation and optimization for production model deployments.
• Familiarity and demonstrated experience with the following strongly preferred:
• Convolutional neural networks
• Feedforwards Neural networks
• Diffusion Models
• Ranking Algorithms
• Approximate Nearest Neighbors - HNSW.
• Bayesian Methods
• Regression Models
• Decision Trees
• Clustering (K-Means, DBScan).

Job Description:

As an Azure Data Engineer, your role will involve designing, developing, and maintaining data solutions on the Azure platform. You will be responsible for building and optimizing data pipelines, ensuring data quality and reliability, and implementing data processing and transformation logic. Your expertise in Azure Databricks, Python, SQL, Azure Data Factory (ADF), PySpark, and Scala will be essential for performing the following key responsibilities:

Designing and developing data pipelines: You will design and implement scalable and efficient data pipelines using Azure Databricks, PySpark, and Scala. This includes data ingestion, data transformation, and data loading processes.

Data modeling and database design: You will design and implement data models to support efficient data storage, retrieval, and analysis. This may involve working with relational databases, data lakes, or other storage solutions on the Azure platform.

Data integration and orchestration: You will leverage Azure Data Factory (ADF) to orchestrate data integration workflows and manage data movement across various data sources and targets. This includes scheduling and monitoring data pipelines.

Data quality and governance: You will implement data quality checks, validation rules, and data governance processes to ensure data accuracy, consistency, and compliance with relevant regulations and standards.

Performance optimization: You will optimize data pipelines and queries to improve overall system performance and reduce processing time. This may involve tuning SQL queries, optimizing data transformation logic, and leveraging caching techniques.

Monitoring and troubleshooting: You will monitor data pipelines, identify performance bottlenecks, and troubleshoot issues related to data ingestion, processing, and transformation. You will work closely with cross-functional teams to resolve data-related problems.

Documentation and collaboration: You will document data pipelines, data flows, and data transformation processes. You will collaborate with data scientists, analysts, and other stakeholders to understand their data requirements and provide data engineering support.

Skills and Qualifications:

Strong experience with Azure Databricks, Python, SQL, ADF, PySpark, and Scala.

Proficiency in designing and developing data pipelines and ETL processes.

Solid understanding of data modeling concepts and database design principles.

Familiarity with data integration and orchestration using Azure Data Factory.

Knowledge of data quality management and data governance practices.

Experience with performance tuning and optimization of data pipelines.

Strong problem-solving and troubleshooting skills related to data engineering.

Excellent collaboration and communication skills to work effectively in cross-functional teams.

Understanding of cloud computing principles and experience with Azure services.

Responsibilities

• Ensuring that orders are executed smoothly and timely.
• Communicate and coordinate with foreign customers for artworks and documents approvals.
• Coordinate with Logistics, Production and purchase team to full file the orders timely.
• Provide support to customers with timely reply’s and provide required information/ Documents.
• Resolving customer complaints quickly and efficiently. 
• Dealing with people of different backgrounds and temperaments.
• Solving customer issues and complaints.
• Offering exceptional customer service to customers.
• Maintaining good relationships with customers.
• Taking feedback from customers to ensure they are satisfied with the service.

Requirements

• Bachelor’s degree in Business Administrator, Marketing or a relevant field.
• 3 years of experience working as a Customer Relationship Executive or a similar role in the Customer Service department.
• Demonstrate the ability to work in teams and independently.
• Excellent organizational and interpersonal skills.
• Outstanding in English oral and written communication skills.
• Good customer service skills.
• Proficiency in Microsoft Office Tools.
• Ability to maintain sensitive and confidential information.
• Ability to maintain a positive attitude.
• Exceptional people and problem-solving skills.
• Exceptional time and task management skills.

· Are you yearning for a challenge and to explore uncharted territory?

· Do you wish to leave the herd pack to create something unique to transform a sector?

· Do you love interacting with people sometimes convincing them, sometimes driving them?

If you answered YES to all of the above and love handling responsibility on end-to-end basis, you are most likely to be the right fit for an opportunity which will transform individual giving in India by assisting NGOs to reach out and engage with their donors.

At DanaMojo, we have developed India’s first payment solutions platform especially for NGOs, providing an easy and convenient way for donors to give and for NGOs manage these donations. Over the last 3 years we have onboarded 900+ NGOs and are currently growing at 20% m-o-m in terms of donations.

As the Inside Sales Manager of NGO Relationships you will basically lead our team on acquisition of NGOs – from lead generation to conversion and assist the team in onboarding.

Remember we are a startup, so we are in “always-on” mode. You need to have a high degree of enthusiasm, energy and an ability and willingness to put in whatever it takes to get the job done. You will need a high degree of execution focus and take ideas from concept to planning to execution in the shortest possible time.

Ideally you should have experience in inside sales roles to businesses/SMEs and team management.

What are we looking for?

1. Strong communication – both oral & written in English. Speaking fluency in multiple languages is an added advantage.

2. Experience in inside sales I.e. selling over the phone to businesses/SMEs.

3. Strong hands-on experience in lead generation through digital mediums.

4. Excellent analytical capabilities (fantastic in Excel) and an ability to grasp things fast

5. An ability to think both innovatively and creatively

6. Ability to communicate effectively both internally and externally

7. Most importantly - an almost crazy willingness to learn!!!

Permanent WFH

Skills:   

• Minimum 5 years of experience as a Front-end Developer
• Responsive/Mobile Design Skills
• Cross-Browser Development
• JavaScript frameworks like NodeJS, ReactJS etc.
• Front End Frameworks like Bootstrap
• Worked on markup languages like HTML, HTML5
• Worked on JavaScript, CSS and jQuery
• Excellent knowledge of browser troubleshooting and debugging practices and techniques
• Knowledge of some SEO principles
• Knowledge of graphics software such as Adobe Suite, Photoshop etc.
• Sense of ownership and pride in your performance and its impact on company’s success
• Critical thinker and problem-solving skills
• Team player
• Good time-management skills
• Good interpersonal and communication skills

To know more about Srijan Technologies, visit the following:

Website: http://www.srijan.net/">http://www.srijan.net/

Twitter: https://twitter.com/Srijan">https://twitter.com/Srijan 

LinkedIn: https://www.linkedin.com/company/srijan-technologies-pvt--ltd-">https://www.linkedin.com/company/srijan-technologies-pvt--ltd- 

Facebook: https://www.facebook.com/SrijanOne 

• 3+ years of work experience as a Python Developer. 
• Sound understanding and knowledge of Python and its ecosystem libraries like pandas and numpy. Also be able to write modular code and understand the python packaging system. 

• Experience on web crawling, scraping (Scrapy,BeautifulSoup, Selenium) and web application development using Django/Flask Framework. 
• Experience on Data-Science; exposure to Theanos, Tensorflow, Pytorch (preferable) 
• Exposure to data mining, Pyspark (preferable)