Management Trainee (B2B Sales)

Geotrackers, are pioneers in the Fleet Telematics industry, providing top-notch GPS devices & solutions to Logistic firms. We're  hiring self motivated, result oriented professionals, with a flair for technology and loads of self-confidence, for the role of Business Development Manager .

Job description

KRAs :

• Own , manage & drive corporate sales activities for the entire region, focusing on B2B sales, business development and solution selling.
• Develop and execute strategies to increase revenue growth through fleet management solutions.
• Collaborate with cross-functional teams to identify new business opportunities and expand existing relationships.
• Provide exceptional customer service by understanding client needs and delivering tailored solutions.
• Analyze market trends and competitor activity to stay ahead in the competitive IT landscape.
• Customer consultation for requirement gathering and product feature mapping
• To deliver product presentation
• Persuasion & Influencing customer decisions
• Negotiation and Sales Closure.
• Customer Relationship Management
• To provide technical consultation, training & ongoing Support
• Ideas and strategies to drive consistent sales performance
• Set up strong customer engagement programs that lead to deeper customer satisfaction, strengthening of customer ties, and effective farming of customer referrals

CANDIDATE PROFILE

Key Skills

• B. Tech + MBA
• Tech Savvy
• Experience in Corporate Sales, B2B Sales, Lead Generation

Soft Skills

• Passion for Sales
• Good communicator
• Sharp thinker
• A keen observer of market conditions
• Positive can-do attitude
• Self-confident
• Resourceful and independent worker, result oriented
• Intelligent, enthusiastic, and self-motivated

AuxoAI is seeking a Senior Applied Scientist to design and deploy structured knowledge systems that enable reliable, schema-grounded AI and agent reasoning.

This role sits at the intersection of large language models, knowledge graphs, semantic architectures, and hybrid retrieval systems. The ideal candidate will build systems that transform unstructured data into structured knowledge representations, enforce semantic constraints, and enable hybrid symbolic–neural reasoning in production environments.

You will play a key role in designing scalable semantic infrastructures that support advanced AI use cases such as GraphRAG pipelines, structured extraction, and agent reasoning workflows.

You will work on problems where existing architectures may not be sufficient and will experiment with new approaches that combine machine learning, knowledge graphs, semantic constraints, and classical AI techniques to build reliable, production-grade systems.

Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)

Responsibilities:

• Design schema-guided information extraction systems using zero-shot and few-shot structured prompting, constrained decoding approaches such as JSON schema enforcement or grammar-based decoding, and function-calling or tool-driven extraction techniques.
• Develop recursive or multi-stage extraction pipelines capable of handling nested entities, hierarchical structures, and cross-document relationships.
• Build ontology-driven systems using frameworks such as LinkML, OWL, SHACL, or similar schema modeling tools, and implement knowledge representations using RDF triples or labeled property graphs.
• Design and optimize entity resolution algorithms using techniques such as blocking strategies, embedding similarity, and rule-based matching.
• Develop ontology alignment techniques and graph embedding models such as Node2Vec or TransE-style approaches where appropriate.
• Design hybrid retrieval architectures combining dense vector retrieval, sparse retrieval techniques, and graph traversal algorithms such as BFS, DFS, path ranking, and neighborhood expansion.
• Build validation systems that enforce schema conformance, detect semantic inconsistencies, and reduce hallucinated or invalid structured outputs.
• Integrate structured knowledge systems into GraphRAG pipelines, agent planning frameworks, and tool-selection workflows.
• Deliver production-grade semantic systems with clear targets for latency, scalability, reliability, and data integrity.

Requirements

• 5+ years of experience building production AI or machine learning systems.
• Strong experience designing and implementing knowledge graphs or ontology-driven architectures.
• Hands-on experience implementing structured extraction techniques, including grammar-constrained decoding, JSON schema enforcement, or AST-style parsing approaches.
• Experience building entity resolution systems beyond simple embedding similarity methods.
• Experience working with graph query languages such as SPARQL or Cypher and optimizing graph query performance.
• Familiarity with RDF, OWL, or property graph data models and semantic data architectures.
• Strong Python engineering skills, with emphasis on data validation, schema integrity, and system reliability.
• Experience designing hybrid symbolic and neural AI systems.

Nice to Have:

• Experience implementing graph algorithms such as PageRank, community detection, or shortest-path algorithms for reasoning chains.
• Experience building graph-enhanced retrieval systems such as GraphRAG.
• Experience designing compositional semantic extraction pipelines.
• Experience implementing reasoning engines or rule-based inference systems.
• Experience benchmarking and evaluating structural extraction accuracy and consistency.

Brief:

We are pursuing a complex set of problems that involve building for an international audience and for an industry that has largely been service-centric. As an SDE at GradRight, you’ll bring an unmatched customer-centricity to your work, with a focus on building for the long term and large scale.

You’ll be part of the Innovation Projects team at GradRight. This team works on third party integrations and adopting new tools/technologies to help build a cutting edge platform for the higher education space.

Responsibilities:

• Contribute to design discussions and decisions around building scalable and modular frontend.
• Participate in sprint ceremonies and actively contribute to scaling the engineering organization from a process perspective
• Stay on top of the software engineering ecosystem and propose new technologies/methodologies that can be adopted
• Contribute to engineering hiring by conducting interviews
• Champion infrastructure as code mindset and encourage automation

Requirements:

• At least 3 years experience as an SDE
• Strong experience with at least one frontend framework, preferably vue.js
• Strong understanding of software design principles and patterns
• Passion for solving complex problems
• Really quick learner and able to dive deep into new ideas/experiments at breakneck speed
• Passion for trying out new technologies and focusing on iterative development
• Experience with team management
• Excellent written and verbal communication skills

Good to have:

• Worked in a full-stack capacity at high growth startups
• Worked on products that addressed an international audience
• Exposure to emerging/latest technologies like blockchain, bots, AR/VR

Required Skills:

· 6+ years of being a practitioner in data engineering or a related field.

· Proficiency in programming skills in Python

· Experience with data processing frameworks like Apache Spark or Hadoop.

· Experience working on Snowflake and Databricks.

· Familiarity with cloud platforms (AWS, Azure) and their data services.

· Experience with data warehousing concepts and technologies.

· Experience with message queues and streaming platforms (e.g., Kafka).

· Excellent communication and collaboration skills.

· Ability to work independently and as part of a geographically distributed team.

About Company

Our client is a community-based marketplace for global wellness entrepreneurs (both in services and products) and consumers. They provide platform and technology to enable sustainable & holistic wellness professionals to be successful. For the consumers, they create health awareness through our enriching content and help them reach their health goals through our world-class Experts, tools, programs and products.

Key Responsibilities:

• Develop engagement strategies and content calendars for official online communities/groups on platforms like Instagram, Facebook, Twitter & more
• Drive partnerships & collaboration with relevant online communities, superusers & social media influencers
• Work with product, creative, content & brand partnerships teams to develop member messaging for new campaigns, features, and product launches
• Create a social engagement playbook/guidelines for community moderators
• Track & report trending topics and sentiment & feedback among the member community across all channels (social media, reviews, support, etc.) 

• Responsible for developing a sense of community amongst the Client creator base
• Ensure all Client creators are benefiting from the community
• Formulate customer delight moments
• Develop non-product solutions that will enable retention and increase customer satisfaction
• Develop partnerships that will help in creator retention

Requirements:

• Graduate with 1-3 years experience in social media & community management
• Active and engaged participant in social media
• Strong verbal, written and presentation skills to communicate effectively
• Strong interpersonal skills and ability to build relationships with cross-functional stakeholders
• Highly organized, detail-oriented and able to manage/execute multiple ongoing projects
• Ability to identify and track relevant community KPIs

• Good network among influencers

Key Responsibilities

• There are two main responsibilities of the role:
  • to increase the overall top line by increasing the application rate(optimizing the funnel) 
  • ensuring more users are retained post the first consumption cycle. 
• Create and refine effective programs that leverage tenure and customer behaviour data, and include a mix of triggered and targeted campaigns.
• Identify key, measurable metrics for Customer lifecycle programs with a focus to test and scale rapidly.
• Create, implement and optimize daily/weekly/monthly campaigns and user journeys (retention and reactivation - both automated and not automated)
• Generate deep insights about customers that increase their retention, root-cause & predict churn and lead to inventing new ways to delight and retain customers. Will include conducting primary & secondary customer research through surveys and talking directly with customers. 
• Experiment across the whole retention & re-activation funnel constantly looking for maximum impact on DAU (daily active users)
• Brainstorm new ways of segmenting potential customers and means of communication, leading to quick-test pilots with clear measurable outcomes