
Achieving Branch targets(End to End Sales).
* Prospect generation through cold calling.
* Meeting & Counseling prospective students(mostly working executives in various Industries)
* Primary and Secondary research
* Verify trainers and business Identity on region bases.
* Analyse Software for trainers
*Connecting with trainers and learner’s over the phone or mail.
Job Responsibilities:
Generating revenues by achieving individual targets.
Presenting Company's offer to the potential client
Handle Objections.
Converting suspects into prospects and closing deals.
Daily monitoring of Individual as well as a team activity
Maintaining daily reports.

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Your Responsibilities
what you will wake up to solve.
- Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
- Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
- Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
- Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
- Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
- Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
- The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
- Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.
Functional Skills
Scaling Intelligent Workforce through Delivery Excellence
- Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
- Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
- Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
- Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
- Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.
Technical Oversight & Execution Charter
- Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
- Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
- End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
- Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.
Tech Superpowers
- Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
- Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
- Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
- Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.
Experience & Relevance
- A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
- Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
- Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
- Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
- Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.
Bonus Points (you will thrive if you have)
- Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
- Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
- AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
- Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
- Ethical Compass: Strong commitment to responsible AI practices.
- Engineer at Heart: Background in product development or engineering before moving into architecture.
Work Location: Bhyandar
Management Skills:
Team Management
Communication Skills
Presentation Skills
Project Management Skills
Domain Skills:
Strong technical expertise in networking, systems administration, and desktop support.
knowledge of networking, managing LAN, WAN Devices
with server administration (Windows Server, Linux).
with virtualization technologies viz. VMware, Hyper-V).
Strong project management and organizational skills.
Excellent communication, interpersonal, and problem-solving skills.
Ability to work independently and as part of a team.
Strong customer service orientation.
Company Description CorpCare is India’s first all-in-one corporate funds and assets management platform based in Mumbai. We offer a single window solution for corporates, family offices, and HNIs to formulate and manage treasury management policies. Our portfolio management system provide assistance in conducting reviews with investment committees and the board.
Role Description Role- Frontend Developer (Next JS) CTC- Upto 12 LPA
The ideal candidate will be responsible for designing, developing, testing, and debugging responsive web and mobile applications for the company. Using JavaScript, HTML, and CSS, this candidate will be able to translate user and business needs into functional frontend design.
Responsibilities Designing, developing, and testing UI for mobile and web applications. Build reusable code and libraries for future use. Accurately translate user and business needs into functional frontend code
Qualifications Bachelor's degree or equivalent in Computer Science. 2+ years' experience in frontend development. React and Next JS experience is must. Familiarity using Scrum/Agile development methodologies. Experience building object-oriented web applications in JavaScript, HTML5, and CSS3
Java Developer Requirements
· Minimum 7 to 15years of experience in Java/J2EE
· Outstanding skills in Java Struts, JSP, Hibernate
· Capability to understand DB design, SQL queries
· Experience in JavaScript, JQuery, JSON and AJAX
· Strong Object Oriented Analysis and Design skills
· Knowledge in source version control such as GIT
· Understanding on Agile methodologies
No of Opening: 7
Location: Chennai/Madurai (WFO)
· Degree in Computer Science or related field.
· Experience with user interface design, database structures, and statistical analyses.
· Analytical mind-set and good problem-solving skills.
· Excellent written and verbal communication.
· Good organizational skills.
· Ability to work as part of a team.
· Attention to detail.
Key Responsibilities
- Market intelligence—be the expert on our buyers, who are they, how they buy and their key buying criteria.
- Understand the competitive landscape—be an expert on our competition and how they are positioned.
- Collaborate with product management and marketing communications to develop product positioning and messaging that resonate with our target buyer personas.
- Understand and document our buyer’s process, including where they get information, and the who, what, when and why behind the decisions they make. Then drive changes to our sales and marketing processes based on what you learn.
- Develop a marketing plan for the products you support in conjunction with our marketing team, including key activities and budgets to support the retention of existing customers and the acquisition of new customers.
- Assess the effectiveness of the marketing programs that support your products on an ongoing basis, and report back to the business on required changes.
- Plan the launches of net-new products and releases of existing products, and manage the cross-functional implementation of the plan.
- Act as the primary thought leader for the products you support externally, including speaking engagements and written works.
- Understand and support our sales channels; train them on the problems we solve for our buyers and users; develop internal tools and external collateral and teach them how and when to use it.
Requirements
- 5+ years of product marketing experience with at least 2 years of experience in a market-facing role (e.g. delivering presentations to customers and prospects, conducting competitor analysis and market research)
- Proficient in productivity applications such as Microsoft Office, Project or Basecamp.
- Comfortable using collaboration and CRM tools such as Slack and Salesforce.
- Familiar with marketing automation tools such as Marketo, Pardot and Omniture, and Google Analytics.
- Power user of networking tools such as LinkedIn, Twitter, Facebook and Instagram.
- Exceptional ROI-tracking skills, able to prove what is –or isn’t—working
- Must be a strong public speaker, comfortable in front of large, senior groups, and a solid writer.
- Excellent people and management skills to interact with staff, colleagues, cross-functional teams and third parties. Team player!
- Must be a strong public speaker, comfortable in front of large, senior groups, and a solid writer.
- Bachelor’s degree in business or marketing; MBA preferred.
- Pragmatic Institute Certified (PMC) III or higher preferred.
Expertise in handling large amount of data through Python or PySpark
Conduct data assessment, perform data quality checks and transform data using SQL
and ETL tools
Experience of deploying ETL / data pipelines and workflows in cloud technologies and
architecture such as Azure and Amazon Web Services will be valued
Comfort with data modelling principles (e.g. database structure, entity relationships, UID
etc.) and software development principles (e.g. modularization, testing, refactoring, etc.)
A thoughtful and comfortable communicator (verbal and written) with the ability to
facilitate discussions and conduct training
Track record of strong problem-solving, requirement gathering, and leading by example
Ability to thrive in a flexible and collaborative environment
Track record of completing projects successfully on time, within budget and as per scope
Proactively fetches information from various sources and analyzes it for a better understanding of how the business performs, and to build AI tools that automate certain processes within the company.
Roles & Responsibilities
- Develop novel computer vision/NLP algorithms
- Build large datasets that will be used to train the models
- Empirically evaluate related research works
- Train and evaluate deep learning architectures on multiple large scale datasets
- Collaborate with the rest of the research team to produce high quality research
- Manage a team of 2+ interns
Must-have skills
- 2+years of experience in building deep learning models
- Strong basics around probability and statistics, linear algebra, data structure & algorithms
- Good knowledge of classic ML algorithms (regression, SVM, PCA etc.), deep learning
- Strong programming skills
Nice to have skills
- Familiarity with pytorch
- Knowledge of SOTA techniques in NLP and Vision
Benefits
- High level of responsibility and ownership for a product impacting billions of lives.
- Extremely high-quality talent to work with. Work with a global team between US / India.
- Work from anywhere anytime!
- Best of breed industry benefits packages.

- Establish and maintain a trusted advisor relationship within the company’s IT, Commercial Digital Solutions, Functions, and Businesses you interact with
- Establish and maintain close working relationships with teams responsible for delivering solutions to the company’s businesses and functions
- Perform key management and thought leadership in the areas of advanced data techniques, including data modeling, data access, data integration, data visualization, big data solutions, text mining, data discovery, statistical methods, and database design
- Work with business partners to define ways to leverage data to develop platforms and solutions to drive business growth
- Engage collaboratively with project teams to support project objectives through the application of sound data architectural principles; support a project with knowledge of existing data assets and provide guidance on reusable data structures
- Share knowledge of external and internal data capabilities and trends, provide leadership, and facilitate the evaluation of vendors and products
- Utilize advanced data analysis, including statistical analysis and data mining techniques
- Collaborate with others to set an enterprise data vision with solid recommendations, and work to gain business and IT consensus
Basic Qualifications
- Overall 10+ years of IT Environment Experience.
- 3+ years of experience partnering with business managers to develop technical strategies and architectures to support their objectives
- 3+ years in Azure Data Factory.
- 2 +azure data bricks, azure cosmos DB, multi-factor authentication, event hub, azure active directory, logic apps.
- 2+ years of hands-on experience with analytics deployment in the cloud (prefer Azure)
- 5+ years of delivering analytics in modern data architecture (Hadoop, Massively Parallel Processing Database Platforms, and Semantic Modeling)
- Demonstrable knowledge of ETL and ELT patterns and when to use either one; experience selecting among different tools that could be leveraged to accomplish this (Talend, Informatica, Azure Data Factory, SSIS, SAP Data Services)
- Demonstrable knowledge of and experience with different scripting languages (python, JavaScript, PIG, or object-oriented programming like Java or . NET)
Preferred Qualifications
- Bachelor’s degree in Computer Science, MIS, related field, or equivalent experience
- Experience working with solutions delivery teams using Agile/Scrum or similar methodologies
- 2+ years of experience designing solutions leveraging Microsoft Cortana Intelligence Suite of Products [Azure SQL, Azure SQL DW, Cosmos DB, HDInsight, DataBricks]
- Experience with enterprise systems, like CRM, ERP, Field Services Management, Supply Chain solutions, HR systems
- Ability to work independently, establishing strategic objectives, project plans, and milestones
- Exceptional written, verbal & presentation skills
We are looking to hire multiple Technical Product Manager at different levels for our team in Bangalore. If you are excited about building products that will be used by millions of consumers worldwide, building products for brands that you can be proud to show to your family and friends - you need to join us! This position reports to: Director of Product and Program.
What you will be doing:
Building product strategy with a strong technology mindset.
Work closely with business team in their pitch and proposals through user research and evaluating emerging technologies to foster innovation in shaping product ideas.
Lead Product Definition phase by driving user research, story mapping, technical feasibility study to generate solutions for client's problems/user needs.
Define, develop and execute product roadmap through till delivery by ruthlessly prioritizing the backlog.
Leverage analytics and user research to envision and propose product improvements.
Define, analyze, and communicate product metrics to guide new features and enhancements.
Serve as the Scrum Product Owner for development teams, including all responsibilities like roadmap definition, feature prioritization, story writing with detailed acceptance criteria.
What You Will NOT Be Doing:
Project and people management.
Owning and driving engineering decisions.
Requirements.
A highly talented and driven technical product owner with 8+ years of overall experience and 5 years actively as technical product manager/owner.
Solid technical background with understanding and/or hands-on experience in mobile development and web technologies (CMS, Angular React).
Has excellent analytical and communication skills with proven ability to influence and negotiate with clients and internal stakeholders.
Experience defining product strategy from scratch with implementation success in previous roles is a must.
Proven experience one or more of mobile/healthcare/fintech domains or startup space.
Technical background in building mobile/cloud/ML/AI/SaaS products and bring own point of view in proposing the solutions to client requirements.
Act as product evangelist with deep curiosity on technology trends and being able to go deep into technology and relate technical enhancements to build product vision.
Experience with cloud ecosystem or related technologies.
Groom and prioritize the work in the backlog according to business value.
Nice to Have
Extensive experience working in an Agile Scrum methodology.
Multi-tasker with ability to support at least 2 products in parallel.
Experience with Rally/Jira/Azure Devops or similar Agile Project Management tools.
Proficiency with at-least in one language Python, Swift, Kotlin etc.
Ability to use story splitting techniques to break larger stories and deliver in small increments.
Experience using workshop techniques to foster story mapping and ideation sessions.










