MDM architect

• 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

Preferred

• Preferred (Products) – Experience with or understanding of platforms like Atlan, Retool, Perplexity, Claude, Zapier, or similar.
• Preferred (Domain Expertise) – Deep understanding of at least one vertical: automation, low code, or data engineering, AI agents able to handle backend integration and schema workflows.

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets. 

We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Work you’ll do

As a data scientist, you will lead data-driven projects, design and develop advanced analytical frameworks and AI/ML solutions to address business problems. You will collaborate with product managers, engineers and domain experts to deliver intelligent solutions and products.

You’ll analyze new opportunities and ideas, evaluate new AI/ ML models/ frameworks/ platforms, conduct experiments, develop PoCs and prototypes.

As a Data Scientist, you will provide your advanced expertise on statistical and mathematical concepts and guide the team in AI/ML algorithms and model development. You will stay up-to-date with the latest advancements in data science, machine learning, and AI.

The ideal candidate will have a strong background in statistics, machine learning, and programming, as well as excellent business understanding and product design thinking skills. If you are passionate about data and have a proven track record of delivering impactful data solutions, we would love to hear from you.

Responsibilities

• Frame problems before you model them. You will define the problem structure, identify the right success metric, and map failure modes — data drift, integration cost, adoption friction — before a single model is trained. Post-mortems are not your primary output; pre-mortems are.
• Own delivery end-to-end, including deployment. You will take models from scoping through production. If your best work is a notebook that never shipped, this role is not for you. You will own the last mile: deployment, monitoring, iteration in production.
• Sit embedded in client teams and hold the room. You will join client standups, present modelling choices to client leadership, and defend or revise your approach on the spot. You will be the technical voice accountable for outcomes — not a back-office supplier of models.
• Build accelerators and reusable frameworks, not one-offs. You will identify repeatable patterns across engagements and convert them into tools, templates, and internal infrastructure that make the next delivery faster and more defensible.
• Write and communicate with precision across audiences. You will produce decision memos, model cards, and post-mortems that are specific enough for an engineer and clear enough for a CFO. You will cover trade-offs, assumptions, and risks — in the same meeting, for both rooms, without dumbing either one down.
• Drive ML lifecycle discipline. You will establish and enforce best practices across model development, versioning, evaluation, and monitoring — and raise the bar for how the team thinks about model quality and production readiness.

Who you are

You are a data scientist who is passionate about using AI/ML to improve processes, products and delight customers. You have experience working with less than clean data, developing ML models, and orchestrating the deployment of them to production. You thrive on taking initiatives, are very comfortable with ambiguity and can passionately defend your decisions.

Requirements and skills

• 2+ years of hands-on data science with shipped production models. Evidence of models that moved from development to deployment with measurable business impact. "Worked on" does not qualify — you must have owned the outcome.
• Consumer-scale domain depth in a regulated or operationally sensitive business. Direct experience with one or more of: credit risk and portfolio modelling (PD/LGD/EAD, scorecards, alternative-data underwriting, collections or behavioural scoring) or retail and commerce modelling (demand forecasting with seasonality and promo effects, assortment and markdown optimisation, customer segmentation and LTV, returns prediction, pricing elasticity). You can read a delinquency curve, or a sell-through curve, or a cohort retention plot and know what it implies for the next model decision and the next business decision
• Production GenAI and agentic system experience beyond prompt engineering. Hands-on with retrieval design, eval harnesses, guardrails, and fine-tuning vs. prompting trade-offs. You understand the observability and cost discipline required to run these systems in production. Prompt engineering alone does not qualify.
• Cloud and MLOps fluency. Proficient across at least one major cloud (AWS, Azure, or GCP) and experienced with MLOps tooling — MLflow, model registries, CI/CD for ML, and drift monitoring in production.
• Client-facing delivery experience. Has worked directly with external clients or business stakeholders — not just internal teams. Comfortable presenting technical choices, fielding pushback, and adjusting in real time without losing the thread.
• Structural problem framing, not just modelling skill. Demonstrates the ability to define what problem is actually worth solving, choose the right analytical approach for the business context, and articulate why alternative approaches were rejected.

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply here. We encourage you to apply even if you believe you do not meet all the requirements listed above.

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to be present in the city.

🚀 We’re Hiring: Performance Marketing Manager

📍Experience: 3–7 Years

📢 Location: Andheri, Marol

🔗 Join a fast-growing team that thrives on creativity, innovation, and results.

Are you a data-driven marketer with proven expertise in Google Ads, Meta Ads & Facebook Ads? If you’re fluent in communication, performance-focused, and seeking a meaningful growth opportunity, this could be the role for you.

✅ Key Responsibilities:

• Plan, execute & optimize paid campaigns across YouTube, Amazon, Programmatic, Affiliate Networks, etc.

• Manage complete campaign lifecycle: planning, A/B testing, execution & optimization

• Conduct keyword research and refine targeting for improved ROI

• Collaborate with creative, tech & content teams to align campaigns with business goals

• Monitor performance metrics like CAC, LTV, ROAS, and implement data-backed strategies for continuous growth

🛠 Technical Skills Required:

• 3–7 years of hands-on experience in performance marketing

• Solid understanding of CPC, CPA, CPL, ROI

• Familiarity with tools like DV360, HubSpot/Agile CRM, affiliate marketing platforms

• Experience in lead generation and purchase-driven campaigns

• WordPress/Shopify knowledge is a bonus

🌟 What We’re Looking For:

• Proactive, accountable, and results-driven mindset

• Excellent verbal & written communication

• Ability to manage multiple projects in a fast-paced environment

• Previous experience with app installs, conversion campaigns, and Brand Lift Studies is a plus

• A collaborative attitude with the ability to work independently

About Us : Signal Expert Global LLP is a Multi-National Company - involved in the business of providing Technical Analysis and Research services in the Forex & Comex Global Market Since 2016. We provide learning and trading assistance about Forex and Comex segments. Also, Educate in Technical Analysis,identification of market Lots, pricing, possible entry points, barriers to entry, and the prevailing trendsofthe Forex and Comex market. Signal Expert Global LLP is a Member of the International Trade Council and Follows Foreign Inward Remittance Certificate (FIRC) Norms as per Foreign Exchange Management Act (FEMA) Guidelines.

Job Profile – Digital Marketing Executive (International Market - Paid Advertising )

Location – Indore, Work from Office Only

Package – 25000 to 35000 ( depending on the interview)

Roles and Responsibilities :

• Develop and execute paid marketing campaigns across various digital advertising platforms, such as Google Ads, Facebook Ads,Instagram etc.
• Conduct thorough keyword research and competitor analysis to identify opportunities for campaign optimization and improved ROI.
• Create compelling ad copy and engaging visual content to attract and convert target audience.
• Monitor campaign performance, analyze data, and provide regular reports on key metrics, such as click-through rates, conversion rates, and cost per acquisition.
• Collaborate with the marketing team to align paid marketing strategies with overall marketing objectives and brand messaging.
• Stay up-to-date with industry trends and best practices in paid marketing to ensure the company remains at the forefront of digital advertising innovation.
• Stay informed about regulatory requirements and ensures compliance with advertising guidelines and policies.
• Manage budgets and report on key performance indicators (KPIs).

Requirements :

• Minimum Graduate or Post Graduate.
• English Communication & Marketing Skills required.
• Proven working experience of minimum 1 year in Digital Marketing.
• Certifications in Google Ads, Google Analysis or others equivalent to them.
• Proven work experience as a Paid Marketing Expert or similar role, preferably in the Forex or Comex/ Finance industry.
• Ability to work independently and collaboratively in a fast-paced environment.

Roles and Responsibilities:

• Proven experience in Java 8, Spring Boot, Microservices and API
• Strong experience with Kafka, Kubernetes
• strong experience in using RDBMS (Mysql) and NoSQL.
• Experience working in Eclipse or Maven environments
• Hands-on experience in Unix and Shell scripting
• hands-on experience in fine-tuning application response and performance testing.
• experience in Web Services.
• Strong analysis and problem-solving skills
• Strong communication skills, both verbal and written
• Ability to work independently with limited supervision
• Proven ability to use own initiative to resolve issues
• Full ownership of projects and tasks
• Ability and willingness to work under pressure, on multiple concurrent tasks, and to deliver to agreed deadlines
• Eagerness to learn
• Strong team-working skills

We are looking for a Sr. Engineer DevOps and SysOps, who is responsible for managing AWS and Azure cloud computing.  Your primary focus would be to help multiple projects with various cloud service implementation, create and manage CI/CD pipelines for deployment, explore new services on cloud and help projects to implement them.

Technical Requirements & Responsibilities

1. Have 4+ years’ experience as a DevOps and SysOps Engineer.
2. Apply cloud computing skills to deploy upgrades and fixes on AWS and Azure (GCP is optional / Good to have).
3. Design, develop, and implement software integrations based on user feedback.
4. Troubleshoot production issues and coordinate with the development team to streamline code deployment.
5. Implement automation tools and frameworks (CI/CD pipelines).
6. Analyze code and communicate detailed reviews to development teams to ensure a marked improvement in applications and the timely completion of projects.
7. Collaborate with team members to improve the company’s engineering tools, systems and procedures, and data security.
8. Optimize the company’s computing architecture.
9. Conduct systems tests for security, performance, and availability.
10. Develop and maintain design and troubleshooting documentation.
11. Expert in code deployment tools (Puppet, Ansible, and Chef).
12. Can maintain Java / PHP / Ruby on Rail / DotNet web applications.
13. Experience in network, server, and application-status monitoring.
14. Possess a strong command of software-automation production systems (Jenkins and Selenium).
15. Expertise in software development methodologies.
16. You have working knowledge of known DevOps tools like Git and GitHub.
17. Possess a problem-solving attitude.
18. Can work independently and as part of a team.

Soft Skills Requirements

1. Strong communication skills
2. Agility and quick learner
3. Attention to detail
4. Organizational skills
5. Understanding of the Software development life cycle
6. Good Analytical and problem-solving skills
7. Self-motivated with the ability to prioritize, meet deadlines, and manage changing priorities
8. Should have a high level of energy working as an individual contributor and as a part of team.
9. Good command over verbal and written English communication

- Must have good hands-on experience on WordPress

- Should able to edit WordPress plugins

- Well versed with HTML, CSS, Java script, PHP

- experience in phpMyAdmin, MySQL, MariaDB

- SSO, oauth2 website integration will be added advantage

- Good communication skills, should able to demonstrate website features

- Good work ethics, professionalism, team player

Responsibilities::

• Based on the wireframes and project concept, create UI of screens to be used in mobile and web.

• Understand the UX and implement or enhance the screens accordingly.

• Work closely with the team in an agile mode to properly draft the requirements in the screen or mock-ups generated.

• Create newsletters, templates and graphics as and when required.

Skills::

• Proficient in Adobe Photoshop, Illustrator and other graphics tools

• Relevant experience in terms of designing screens for mobile and web apps

Website - https://praxinfo.com/">https://praxinfo.com/