
Prospect for potential new clients and turn this into increased business.
Cold call as appropriate within your market or geographic area to ensure a robust pipeline of opportunities. Meet potential clients by growing, maintaining, and leveraging your network.
Identify potential clients, and the decision makers within the client organization.
Research and build relationships with new clients.
Set up meetings between client decision makers and company’s practice leaders/Principles.
Plan approaches and pitches. Work with team to develop proposals that speaks to the client’s needs, concerns, and objectives.
Participate in pricing the solution/service.
Handle objections by clarifying, emphasizing agreements and working through differences to a positive conclusion. Use a variety of styles to persuade or negotiate
Skills required:
Excellent verbal and written communication skills.
Energy, passion and a real drive to get ahead
Capable, quick, determined
Immaculate attention to detail
Team player
Startup mentality, high willingness to learn, and hardworking.

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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
equired Qualifications:
• Microsoft Dynamics NAV/D365 Business Central: Deep understanding and hands-on experience with Microsoft Dynamics NAV and/or D365 Business Central.
• Implementation Experience: Proven experience in implementing Microsoft Dynamics 365 Business Central.
• MS Dynamics NAV Background: Strong background in MS Dynamics NAV environments.
• C/SIDE and C/AL Proficiency: Expertise in C/SIDE and C/AL programming, particularly in pipeline configuration.
• SQL Knowledge (Desirable): Familiarity with SQL for database interactions and data-related tasks within Dynamics NAV/BC is beneficial but not mandatory.
• Project Management Skills: Ability to manage multiple projects and tasks simultaneously with strong organizational and multitasking abilities.
Greetings of the day !
ONLY FEMALE CANDIDATES NEEDED
Role = Customer care Executive
Location = Andheri(E), Mumbai
6 day working Rotational off
Good communication skills
Experience range = Fresher to 4 years
ABOUT THE ROLE
Position = CUSTOMER CARE EXECUTIVE
Answering calls
Resolving queries and issues over the phone
Assisting the customer
Merito is a curated talent platform where we identify, assess, and connect candidates for matching job opportunities. We are working with the mission to change the way hiring is done. The company is founded by a team of alumni from IIM Ahmedabad, McKinsey with more than 2 decades of experience in recruitment, training, and coaching.
About our Client :-
Our client is part of the global media agency with mission is to make advertising more valuable to the world. They do this by employing the world’s very best talent to solve some of the toughest challenges of today’s digital marketing landscape. They hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. They promise you a workplace that invests in your career, cares for you and is fun and engaging.
About the role :-
The Media Activation team is responsible for providing thoughtful and exciting recommendations for Search, Social, Display, and Video, owning supplier relationships, and then executing those recommendations expertly. The Media Activation team leverages their mastery of each channel to make sure its recommendations are consistently excellent and innovative, and that in-channel performance and data integrity is maximized.
Some of the things we'd like you to do :-
• Utilise excellent English communication skills, both verbal and written, to liaise with both the client and the team within Essence
• Translating client requirements into Biddable campaign delivery briefs
• Effectively manage client deliverables to deliver on time and on target
• Develop strong relationships with your client, acting as key channel expert
• Be able to communicate with clients on subjects outside your remit, and provide them with useful insight
• Ownership and monitoring of campaign performance to ensure that SEM team provides proactive, strategic and tactical optimization recommendations
• Lead end of month/quarter campaign wrap ups for SEM channels
• Regularly contribute to media best practices and campaign processes
• Develop and execute rigorous testing plans
• Craft actionable insights for weekly and quarterly reports
• Manage the successful task delegation of work for 1-2 junior team members
A bit about yourself :-
• Excellent English communication skills, both verbal and written
• Approximately 3-5 years experience in a digital media agency
• Specialization in SEM (Google Adwords, Bing, Yahoo, Baidu, Naver, etc)
• Experience with planning and running larger-scale PPC campaigns across multiple markets. Experience with DS3 (bid management platforms e.g. Marin, Kenshoo) would be plus
• Doubleclick or Adwords certification
• Proficiency in Excel (Pivot Tables, VLookups, etc)
• A passion for everything digital, with an active interest and understanding of online advertising industry trends
• Strong understanding of optimization levers & testing approaches
• Great analysis skills (including quantitative analysis) and proven critical thinking capability
• Proven experience managing people/teams
About Thriving Springs:
Have you ever wondered, what does it take to succeed at the workplace ? Is it only technical skills or do behavior skills also play a role ?
Research suggests that 85% of job success depends on soft and behavioral skills and this is where Thriving Springs plays a critical role by helping organisations, teams and individuals build these skills and unlock their highest potential and achieve an all round success. It does this by assessing current levels of soft and behavioral skills and then helping in growing them through Thriving Springs’s innovative smart platform that combines the power of emotional intelligence (EI) with artificial intelligence (AI) and machine learning (ML).
Why join Thriving Springs ?
While there are many companies however , companies that are built with a clear purpose and mission to take humanity forward are rare. Thriving Springs - An Edtech startup is one of the pioneers in driving human productivity, fulfilment and success forward through empowering millions of working professionals globally with soft and behavioral skills and assisting them in the flow of work. Thriving Springs is leading a world wide and purpose led movement to drive success at the workplace and we invite you to join this fun and adventurous journey with us.
Culture, Rewards and Benefits:
A great culture is created when everybody in the company has great opportunities, creates meaningful impact and contributes to good of society - Larry Page - Founder - Google
The founders of Thriving Springs come from Google and have built a Google like culture within Thriving Springs where each and every team member experiences freedom and autonomy to pursue their ideas that have deep impact and will shape the future of workplace learning. The culture at Thriving Springs is deeply rooted in emotional intelligence where there is emphasis on collaboration, empathy and winning together as one team.
The members will receive an attractive total compensation package including a competitive fixed salary, performance bonuses and ESOPs translating into non-incremental gains as the company grows into a potential unicorn. In addition, every member will receive medical and health insurance plus a special allowance to use gym and yoga services. In addition every member will get a sponsored subscription of audible to pursue their own learning journey.
Qualifications:
- BTech/BE in computer science, electrical, electronics or related fields
- 2+ years of front end development experience
- High emotional intelligence, empathy and collaborative approach.
- Experience in Angular/React Javascript frameworks, CSS, HTML5, Bulma etc
- Experience with developing rich dynamic front end applications using Angular and CSS frameworks like BulmaCSS, Angular Material, Bootstrap, etc.
- Should be a quick learner to keep up with the pace of the ever changing world of technology as the candidate will get excellent exposure to the latest and trending Cloud based SaaS technologies and best practices while working with varied customers based across the globe.
Responsibilities:
- Develop web applications covering end to end software development life cycle right from writing UI code using Angular, AngularJS
- Good eye for detail to develop UI interfaces
Contact me at seven three three seven four eight five zero nine six.
● Proficient in Python and using packages like NLTK, Numpy, Pandas
● Should have worked on deep learning frameworks (like Tensorflow, Keras, PyTorch, etc)
● Hands-on experience in Natural Language Processing, Sequence, and RNN Based models
● Mathematical intuition of ML and DL algorithms
● Should be able to perform thorough model evaluation by creating hypotheses on the basis of statistical
analyses
● Should be comfortable in going through open-source code and reading research papers.
● Write clean, maintainable and efficient code
● Design robust, scalable and secure features
● Contribute in all phases of the development lifecycle
● Follow best practices (test-driven development, continuous integration, SCRUM, refactoring and code standards)
● Drive continuous adoption and integration of relevant new technologies into design
Requirements
● 2 to 5 years of experience in developing applications using Ruby on Rails
● Experience in Rails gems like rspec, devise, cancan, active-admin
● Proven work experience in software development
● Experience in writing ReSTful APIs
● Demonstrable knowledge of front-end technologies such as JavaScript, HTML, CSS and JQuery
● Experience developing highly interactive applications
● A firm grasp of Object Oriented analysis and design
● Passion for writing great, simple, clean, efficient code
● Good knowledge of relational databases
● Working knowledge of NoSQL database
● Experience in using AWS services is a plus.
- Translate designs and wireframes into high quality code for TV, tablets and mobile
- Design, build, and maintain high performance, reusable, and reliable Kotlin code
- Ensure the best possible performance, quality, and responsiveness of the application
- Identify and correct bottlenecks and fix bugs
- Help maintain code quality, organization, and automatization
Android Developer Requirements:
- Proven experience as an app developer (2 - 4 years).
- Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
- Familiarity with RESTful APIs to connect Android applications to back-end services
- Strong knowledge of Android UI design principles, patterns, and best practices
- Experience with offline storage, threading, and performance tuning
- Ability to design applications around natural user interfaces, such as “touch”
- Familiarity with the use of additional sensors, such as gyroscopes and accelerometers
- Knowledge of the open-source Android ecosystem and the libraries available for common tasks
- Ability to understand business requirements and translate them into technical requirements
- Familiarity with cloud message APIs and push notifications
- A knack for benchmarking and optimization
- Understanding of Google’s Android design principles and interface guidelines
- Proficient understanding of code versioning tools, such as Git
- Familiarity with continuous integration
Position: IT Auditor
Experience: 4-12 Years
Location: Pune
Key Skills Required:
CISA, CISSP, CISM, IT Audit, Technology Audit, IT Infrastructure Audit, Application Security Audit, Information Security Audit, Cyber Security Audit, Cloud Security, Ethical Hacker
Additional key words: Vulnerability assessment, Penetration Testing, ITGC testing, Cloud Computing,
IT AUDITOR is responsible to plan and perform the audit assignment starting from audit announcement, audit planning, field work, audit quality reviews, pre-closing / closing meetings with the respective Directors / Head of the Departments including writing of the audit report and its finalization as well as follow up of the audit actions. Additionally IT AUDITOR will also be responsible to:
• Evaluate IT systems, processes and projects in place;
• Determine risks to the Group’s information assets, and help identify methods to minimize those risks;
• Ensure information management processes are in compliance with IT-specific laws, policies and standards;
• Determine inefficiencies in IT systems, IT projects and associated management processes and
• Consult in IT projects, new initiatives and organizational frameworks.
Description
Audit Planning
1) Perform audits at Volkswagen Group entities. and other concerned Volkswagen Group Companies with focus on IT processes keeping the associated business risks in mind.
2) Participate in the preparation of audit objective & scope document along with audit schedule based on the audit objective and timeline specified by Head of IT Audit India Hub.
3) Participate in the preparation of work program
Audit Process
1) Prepare and conduct preparatory interviews with the Directors and Heads of the audited departments to identify the processes to be assessed during the audit.
2) Request and collect relevant audit data for analysis from respective business areas.
3) Prepare audit matrix on periodic basis to record the audit field work and update the progress of the audit to IT Audit Manager and the Head of IT Audit Hub India.
4) Define actions including relevant controls to mitigate the business risks identified based on the evidences provided during the audit.
5) Organize and conduct pre-closing meetings with business areas to agree upon audit observations and relevant actions.
6) Prepare and conduct closing meetings with the Directors / Heads of the Department for audited division to agree upon the audit observations, risks and proposed actions.
7) Prepare the draft audit report and submit the same to the IT Audit Manager and the Head of IT Audit India Hub for review.
8) Ensure that adequate documentation is prepared for the audit assignment. Peer review changes are done before release of the final audit report to the business area.
9) Contact business area to review the progress of the implementation of audit actions defined in the final audit report. Based on the review, write the status of the follow up and submit the same for upload in RIAS.
10) Obtain necessary certifications / qualifications to support the job requirements by attending relevant trainings
11) Support the conduction of unscheduled audits/special investigations and audits from the anti-corruption system.
12) Relevant knowledge is shared among the team members.
13) Consult in IT projects, new initiatives and organizational frameworks.
14) Ensure information management processes are in compliance with IT-specific laws, policies and standards.
15) Determine risks to the Group’s information assets, and help identify methods to minimize those risks.
16) Evaluate IT systems, processes and projects in place.
17) Determine inefficiencies in IT systems, IT projects and associated management processes.








