Sales Team Leader

We are looking for a visionary and hands-on Head of Data Science and AI with at least 6 years of experience to lead our data strategy and analytics initiatives. In this pivotal role, you will take full ownership of the end-to-end technology stack, driving a data-analytics-driven business roadmap that delivers tangible ROI. You will not only guide high-level strategy but also remain hands-on in model design and deployment, ensuring our data capabilities directly empower executive decision-making.

If you are passionate about leveraging AI and Data to transform financial services, we invite you to lead our data transformation journey.

Key Responsibilities

Strategic Leadership & Roadmap

• End-to-End Tech Stack Ownership: Define, own, and evolve the complete data science and analytics technology stack to ensure scalability and performance.
• Business Roadmap & ROI: Develop and execute a data analytics-driven business roadmap, ensuring every initiative is aligned with organizational goals and delivers measurable Return on Investment (ROI).
• Executive Decision Support: Create and present high-impact executive decision packs, providing actionable insights that drive key business strategies.

Model Design & Deployment (Hands-on)

• Hands-on Development: Lead by example with hands-on involvement in AI modeling, machine learning model design, and algorithm development using Python.
• Deployment & Ops: Oversee and execute the deployment of models into production environments, ensuring reliability, scalability, and seamless integration with existing systems.
• Leverage expert-level knowledge of Google Cloud Agentic AI, Vertex AI and BigQuery to build advanced predictive models and data pipelines.
• Develop business dashboards for various sales channels and drive data driven decision making to improve sales and reduce costs. 

Governance & Quality

• Data Governance: Establish and enforce robust data governance frameworks, ensuring data accuracy, security, consistency, and compliance across the organization.
• Best Practices: Champion best practices in coding, testing, and documentation to build a world-class data engineering culture.

Collaboration & Innovation

• Work closely with Product, Engineering, and Business leadership to identify opportunities for AI/ML intervention.
• Stay ahead of industry trends in AI, Generative AI, and financial modeling to keep Bajaj Capital at the forefront of innovation.

Must-Have Skills & Experience

Experience:

• At least 7 years of industry experience in Data Science, Machine Learning, or a related field.
• Proven track record of applying AI and leading data science teams or initiatives that resulted in significant business impact.

Technical Proficiency:

• Core Languages: Proficiency in Python is mandatory, with strong capabilities in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
• Cloud Data Stack: Expert-level command of Google Cloud Platform (GCP), specifically Agentic AI, Vertex AI and BigQuery.
• AI & Analytics Stack: Deep understanding of the modern AI and Data Analytics stack, including data warehousing, ETL/ELT pipelines, and MLOps.
• Visualization: PowerBI in combination with custom web/mobile applications.

Leadership & Soft Skills:

• Ability to translate complex technical concepts into clear business value for stakeholders.
• Strong ownership mindset with the ability to manage end-to-end project lifecycles.
• Experience in creating governance structures and executive-level reporting.

Good-to-Have / Plus

• Domain Expertise: Prior experience in the BFSI domain (Wealth Management, Insurance, Mutual Funds, or Fintech).
• Certifications: Google Professional Data Engineer or Google Professional Machine Learning Engineer certifications.
• Advanced AI: Experience with Generative AI (LLMs), RAG architectures, and real-time analytics.

Key Responsibilities:

• Source potential candidates through LinkedIn, job portals, social media platforms, and other recruitment channels.
• Screen resumes and conduct initial telephonic or virtual interviews to assess suitability.
• Coordinate and manage the complete interview process with hiring managers.
• Negotiate salary offers and support candidates throughout the onboarding process.
• Maintain accurate and updated records in the Applicant Tracking System (ATS).

Qualifications & Skills:

• Minimum 2+ years of hands-on experience in recruitment or talent acquisition.
• Strong working knowledge of multiple job portals and sourcing techniques.
• Excellent communication, interpersonal, and negotiation skills.
• Ability to manage multiple positions and meet hiring deadlines effectively.

Position Overview-

This role would be a part of our B2B sales function for our growing India business. He/She

would drive the new client acquisition and client relationship management.

Role and Responsibilities-

• Use a mixture of inside sales, and borderline contacts, to source a demo with the
• VP/Head of Sales of a lead.
• Contact potential prospects through cold calls and emails.
• Orchestrate discussions with senior execs (CXOs) around their business needs.
• Timely follow-up with clinical precision.
• Manage and maintain a list of interested prospects.
• Deep understanding of the product.
• Meet personal sales targets.
• Given the name of a mid to large company, identify the right PoC using LinkedIn and Primenumbers contacts databases.

Requirements-

• Minimum 2+ years of relevant experience.
• Fluency in English and Hindi communication is essential.
• Education - Graduation (Btech, BE, BSc electronics, BCA preferred)

Perks-

• Attractive incentives.
• 5 days working.
• Fixed shift timings. (10:00am - 7:00pm, Mon-Fri)

ROLES & RESPONSIBILITIES

·      Creative Logos

·      Banners for Websites & Social Medias

·      Flex Banners

·      Flyer Design

·      Brochure & Pamphlet Design

·      very good understanding of color theory and usage of colors.

·      Test graphics across various media

·      Schedule projects and define budget constraints for Graphic Designer JD

·      Motion Graphics & Video Editing.

Digital Marketing is a lot more than what it is usually portrayed as and we delve into “the lot more”for SMBs. we have grown well and what started as a small personal project a year ago has now grown into a family of 45+ clients and 8 smart people- all within a year! And guess what, we never spent a single penny on advertising! It was all referral and so you can imagine the quality of work that we have been doing.

Now, if you are someone who can fit in such a high performing environment, do read the job description very thoroughly and then apply!

What we are looking for

Who we are not looking for

You’re busy, we’re busy. If you don’t meet these requirements, please focus on the other fish in

the sea. These are indeed requirements

Minimum of 1.5 years as a hands-on graphic designing

Minimum of 1 year as someone who has been interacting with the clients. If you have worked

in B2B, it would be great!

Graphic design & Web Design Project experience

A focus on the details (really… pay close attention to the details if you’d like to get an interview

for this position)

• 3+ years of Experience majoring in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions.
• Programming skills in Python, knowledge in Statistics.
• Hands-on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, parameter tuning, etc.). Familiarity with reinforcement learning is highly desirable.
• Experience in the financial domain and familiarity with financial models are highly desirable.
• Experience in image processing and computer vision.
• Experience working with building data pipelines.
• Good understanding of Data preparation, Model planning, Model training, Model validation, Model deployment and performance tuning.
• Should have hands on experience with some of these methods: Regression, Decision Trees,CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Support Vector Machines, Ensemble Methods, Association Rules, Principal Component Analysis, Clustering, ArtificiAl Intelligence
• Should have experience in using larger data sets using Postgres Database. 

HireSure.ai is a blockchain registry for job offers & employment history. Companies get transparent, immutable, and cryptographically verifiable job offers and employment history record stored in a secured cloud blockchain. HireSure companies experience significantly higher join ratio, better retention, a better brand perception, and better control on the hiring process. We are looking for passionate developers, willing to work in cutting edge technologies, and having experience in Django/Python.

• Work with the Product/ Business teams to get a full understanding of the requirements and propose creative and efficient solutions
• Come up with innovative solutions to the hurdles that confront us on a day-to-day basis.
• Troubleshoot, test, and maintain the core product software and databases to ensure strong optimization and functionality.
• Contribute in all phases of the development lifecycle.

At Kyt, we are building an online-first, global academy focused on extracurricular learning for kids. Our mission is to ensure that every kid around the world gets access to holistic education while being able to learn using content, tools and technologies that teaches them concepts - some even better than offline. Bringing in technology as a differentiator to teach kids concepts and help them practice is key to our product development path.

• Experience of 6+ years across product based companies 

• Should have worked on building B2C products. Having experience in building edtech products would be a major plus.
• Should be an  avid programmer with great problem solving skills.
• Should have a great grasp over NodeJs/Typescript/ AWS microservices
• Should  have experience in building scalable server-side systems. Should have significant experience in cloud infrastructure and designing databases.
• Should have knowledge of software architecture, system thinking and design patterns.