Sales Freelancers

We are looking for a highly strategic and execution-focused Account-Based Marketing (ABM) Manager to drive targeted growth across high-value enterprise accounts. This role sits at the intersection of marketing and sales, owning personalised campaigns that directly impact pipeline and revenue. You will work closely with Sales, Product Marketing, and Demand Generation teams to design and execute tailored outreach strategies for key accounts globally.

Responsibilities:

• ABM Strategy and Execution: Design and execute account-based marketing programs for targeted enterprise accounts. Identify and prioritise high-value accounts in collaboration with sales teams.
• Campaign Management Plan and run multi-channel campaigns (email, LinkedIn, events, content syndication). Drive personalised messaging tailored to specific accounts, industries, and personas.
• Sales Alignment Partner closely with Account Executives and SDRs to align on account plans and outreach. Enable sales teams with insights, messaging, and campaign support.
• Data and Insights: Leverage intent data, CRM insights, and marketing automation tools to refine targeting. Track, measure, and optimise campaign performance and ROI.
• Content and Personalisation: Work with content and product marketing teams to create account-specific assets. Develop use-case driven narratives for enterprise buyers (CTOs, QA Heads, Engineering Leaders).
• Pipeline Contribution: Own ABM-driven pipeline generation and influence revenue outcomes. Continuously experiment and improve conversion across the funnel.

Requirements:

• 3-7 years of experience in B2B Marketing / Demand Generation / ABM.
• Strong understanding of SaaS, enterprise sales cycles, and the developer tools ecosystem.
• Proven experience in running targeted campaigns for enterprise accounts.
• Hands-on experience with tools like HubSpot, Salesforce, Marketo, Outreach, LinkedIn Campaign Manager, 6sense, and Demandbase.
• Strong analytical mindset with the ability to translate data into actionable insights.
• Excellent communication and stakeholder management skills.

Good to Have:

• Strategic thinker with a revenue-first mindset.
• High ownership and ability to operate in a fast-paced, high-growth environment.
• Strong collaboration skills across sales, marketing, and product teams.
• Creative approach to personalisation and engagement for LinkedIn messages/ Leads account-based messages + timeline post.

About the role:

We are looking for a skilled and driven Security Engineer to join our growing security team. This role requires a hands-on professional who can evaluate and strengthen the security posture of our

applications and infrastructure across Web, Android, iOS, APIs, and cloud-native environments.

The ideal candidate will also lead technical triage from our bug bounty program, integrate security into the DevOps lifecycle, and contribute to building a security-first engineering culture.

Required Skills & Experience:

● 3 to 6 years of solid hands-on experience in the VAPT domain

● Solid understanding of Web, Android, and iOS application security

● Experience with DevSecOps tools and integrating security into CI/CD

● Strong knowledge of cloud platforms (AWS/GCP/Azure) and their security models

● Familiarity with bug bounty programs and responsible disclosure practices

● Familiarity with tools like Burp Suite, MobSF, OWASP ZAP, Terraform, Checkov..etc

● Good knowledge of API security

● Scripting experience (Python, Bash, or similar) for automation tasks

Preferred Qualifications:

● OSCP, CEH, AWS Security Specialty, or similar certifications

● Experience working in a regulated environment (e.g., FinTech, InsurTech)

Responsibilities:

● Perform Security reviews, Vulnerability Assessments & Penetration Testing for Web,

Android, iOS, and API endpoints

● Perform Threat Modelling & anticipate potential attack vectors and improve security

architecture on complex or cross-functional components

● Identify and remediate OWASP Top 10 and mobile-specific vulnerabilities

● Conduct secure code reviews and red team assessments

● Integrate SAST, DAST, SCA, and secret scanning tools into CI/CD pipelines

● Automate security checks using tools like SonarQube, Snyk, Trivy, etc.

● Maintain and manage vulnerability scanning infrastructure

● Perform security assessments of AWS, Azure, and GCP environments, with an emphasis

on container security, particularly for Docker and Kubernetes.

● Implement guardrails for IAM, network segmentation, encryption, and cloud monitoring

● Contribute to infrastructure hardening for containers, Kubernetes, and virtual machines

● Triage bug bounty reports and coordinate remediation with engineering teams

● Act as the primary responder for external security disclosures

● Maintain documentation and metrics related to bug bounty and penetration testing

activities

● Collaborate with developers and architects to ensure secure design decisions

● Lead security design reviews for new features and products

● Provide actionable risk assessments and mitigation plans to stakeholders

Strong Partner Sales Profile (Cloud / Enterprise Ecosystem)

Mandatory (Total Experience): Must have 1+years of B2B sales experience in Cloud / IT Services OR partner / enterprise solution sales exposure within BFSI, Manufacturing, or Pharmaceutical sectors

Mandatory (Experience 1 – Partner / Channel Sales): Must have experience working with channel partners, system integrators, resellers, or strategic alliances

Mandatory (Experience 2 – Partner-Led Deal Execution): Must have supported or driven partner-led sales cycles, including requirement alignment, proposal coordination, and deal closure

Mandatory (Communication & Stakeholder Management): Must be able to coordinate across partners, internal teams, and end customers effectively

Mandatory (Education Background): Must have a technical or IT-oriented education background —BE / BSc IT / MSc IT is mandatory

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

Key Responsibilities

🖥️ Frontend (Angular)

• Develop responsive, accessible web UI for assessment tools, educator dashboards, and parent reports.
• Implement dynamic form builders and scoring interfaces for multiple domains (reading, writing, math).
• Build PDF report previews, filtering tools, and real-time updates.

🔙 Backend (Python/FastAPI)

• Design and implement APIs for user management, assessments, intervention logs, and reports.
• Integrate scoring logic and data aggregation for AI insights.
• Implement secure role-based access (admin, educator, parent).

🛠️ DevOps / Systems

• Maintain scalable architecture with PostgreSQL / MongoDB, Docker, and deployment pipelines.
• Work with AI engineer to connect ML models to backend for prediction and recommendation layers.
• Optimize performance and ensure data security (GDPR-aligned).

• Represent our company, with a comprehensive understanding of our offerings
• Research consumer needs and identify how our solutions meet them
• Hire, train, motivate, and advise a team of sales representatives
• Achieve company objectives through effective planning, setting sales goals, analyzing performance data, and projecting future performance.
• Continuously develop personal leadership, hiring, and training skills while ensuring the team is using  effective sales tactics to meet revenue objectives.
• Generate leads, and build and nurture client relationships

• Create and execute a strategic sales plan that expands customer base and extends global reach
• Meet with potential clients and grow long-lasting relationships by understanding their needs
• Track, analyze, and communicate key quantitative metrics and business trends as they relate to partner relationships
• Recruit salespeople, set objectives, train and coach, and monitor performance ensuring assigned tasks and responsibilities are fulfilled
• Identify knowledge gaps within the team and develop a plan to fulfill them
• Oversee the sales team to ensure company quotas and standards are met by holding daily check-ins with team to set objectives for the day and monitor progress regularly
• Manage month-end and year-end close processes

Responsibilities

• The successful candidate must have hands-on testing experience on any web application (Any Architecture) and should have in-depth knowledge on the architecture of current/previous projects.
• The successful candidate must have hands-on testing experience on testing UI / Front End on different configurations of browsers.
• The successful candidate must have excellent knowledge on Testing Methodologies & defect Management systems
• The successful candidate must have Good knowledge on CRM domain
• The successful candidate will need to work closely with other teams in IT including Business Solution Analyst, Engineering & Release Management,
• The successful candidate will be responsible for collaborating with other engineers and project stakeholders on the test case Sign off, test case execution and test reporting of solutions and integrations.
• The successful candidate will be responsible for functional, integration and system testing the integrations using the appropriate technology/tools. They will work closely with the Engineering team to validate their integration, and with Operations to investigate, troubleshoot, and address production issues.

Requirements

• Minimum 3 to 5 + years Experience in Web Application Testing on multiple configurations of browsers
• Knowledge of Database (any) and ability to write SELECT queries with ease.
• Experience on testing web services is an advantage.
• Proven track record of designing test plans and test cases and executing the integration projects on the Force.com platform
• Adhere to STLC standards.
• Excellent in communication skills & a good team player.
• Quality Certifications would be advantage.
• Knowledge of validating, and troubleshooting XML schemas.
• Knowledge on Performance / Security tools is an advantage.
• Experience with Test management tools (i.e JIRA), test automation (i.e QTP , Selenium) and defect tracking tools (JIRA)

Desirable Skills

• Prior experience with any marketing automation tool, such has Hubspot, Eloqua, Exact target, Adobe Campaign, Adobe MArketo will be a advantage.
• Hands on experience on OOB solution testing, Cloud Based testing
• Adobe Marketing cloud product knowledge
• Hands-on experience on testing workflow based applications with keen attention to integration between various systems.
• Hands on Experience on Automating web applications will be an advantage.
• Knowledge on any automation tool that can be used on CRM Applications is a desirable;

Desired Candidate Profile

• Good Command on English
• CEFR C1 proficiency or GETS Scale of English Level 7
• Bike/ Car
• Ability to be flexible and creative in developing the business
• Sr. Executive – 2+ years in field sales
• Executive – Fresher or experienced in sales but not more than 2 year

Job Description-

We are looking for an iOS developer who possesses a passion for pushing mobile

technologies to the limits and will work with our team of talented engineers to design and

build the next generation of our mobile applications.

Responsibilities

• Developing and maintaining iPhone and iPad application
• Estimate the work efforts at varied levels and entail in design evaluation,

determining the architectures, lay-out and style controls

• Connect client application with various back-end technologies
• Work in coordination with developers in designing architecture and implement

designing strategy

• Collaborate with people in other disciplines for the production and delivery of

project deliverable

Experience and Skills required

• Must have 1-3 year of experience in developing apps for iOS
• Working experience in Swift
• Working experience Objective C
• Understanding of web development concepts such as REST and SOAP web

services, and how to access them from iOS Objective C Code is a prerequisite

• Possess experience in developing social and location aware applications
• Experience of developing apps for varied platforms like Blackberry,

Android,Symbian is an added advantage

• Hands on experience on use of the latest iPhone SDK 5

Key Skills:

Objective C, Swift, React Native

Mentor To Go is an android and web based platform to help students improve their work readiness through self-learning sessions, personalised mentorship provided by mentor professionals from a range of careers, and work experience opportunities.

The technology platform implements  functionalities such as: screening surveys of mentors and mentees, training content for mentors, matching through an algorithm, and mentorship through the delivery of structured activities. 

The application technology architecture comprises of the following:

o   a Python Django web application with NGinx and Gunicorn

o   PostgreSQL database

o   A React Android and Web app

o   Rest APIs which interact between the Android app and the Django webserver

Our vision at Mentor To Go is to provide career mentorship to young people anywhere, anytime across the length and breadth of India.

We are looking for a backend software developer who is passionate about using web technologies to solve social problems and creating experiences that are elegant and effective. You will own the back end development of features of the Mentor To Go platform from conceptualisation through design and testing, working closely with other developers, the technical project manager, and the program operations team. You are user-centric, continuously demonstrate strategic & analytical abilities, and are laser focused on executing at speed. You must have the ability to succeed in a fast paced environment, where success is dependent on your ability to collaborate with cross-functional team members in a positive, productive, and transparent way.

Minimum requirements 

• Bachelor’s degree in engineering preferably  CS  or related discipline  
• 3+ years experience working in Unix/Linux environments building web and mobile applications
• Proficiency in developing and deploying cloud based Python/Postgresql applications preferably using frameworks such as Django
• Experience with design and development of moderately complex software projects
• Strong written and oral communication skills
• Familiarity with version control software such as Git

Desired  requirements 

• 5+ years of overall relevant work experience
• Experience building apps using React/React-Native
• Basic understanding of AWS cloud
• Ability to participate in technical discussions and help make technical trade-offs

About Mentor Together

https://mentortogether.org/">Mentor Together is India’s first and largest youth mentoring  non-profit organization with a mission to facilitate empowering mentoring relationships and networks that help young people break the inequalities of opportunity and actualise their potential.

http://bit.ly/mentortogo">Mentor To Go is the world’s first mobile mentoring platform created by Mentor Together with the support of Cisco India, LinkedIn Social Impact, British Telecom and Sterlite Technologies.