Business Analyst

Job Title : AI/ML Engineer (Python)

Location : Gurgaon

Experience : 5+ Years and 10+ Years

Role Overview :

We are seeking highly skilled AI/ML Engineers with expertise in Python to join our team in Gurgaon. The ideal candidates will have 5+ Years or 10+ Years of experience in building and deploying AI/ML models, developing scalable solutions, and contributing to cutting-edge machine learning projects.

Key Responsibilities :

• Design, develop, and deploy robust AI/ML models and algorithms to solve real-world problems.
• Collaborate with cross-functional teams to integrate machine learning solutions into production environments.
• Implement data preprocessing, feature engineering, and model optimization techniques.
• Work with large datasets to derive insights and develop predictive models.
• Write clean, efficient, and well-documented Python code.
• Evaluate model performance and fine-tune algorithms for better accuracy and efficiency.
• Research and implement new machine learning methods and technologies.
• Develop and maintain automated pipelines for training, testing, and deploying models.
• Mentor junior engineers (for 10+ Years of experience candidates).

Key Requirements :

Educational Qualification : Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Experience :

• For 5+ Years : Proven expertise in AI/ML development with hands-on project experience.
• For 10+ Years : Advanced expertise in AI/ML with a track record of leading complex projects and mentoring teams.

Technical Skills :

• Strong programming skills in Python.
• Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Proficiency in data processing tools such as Pandas and NumPy.
• Experience with cloud platforms (AWS, Azure, or GCP) for deploying models.
• Knowledge of NLP, computer vision, or deep learning techniques is a plus.
• Familiarity with big data tools (e.g., Spark, Hadoop) is advantageous.

Soft Skills :

• Strong analytical and problem-solving abilities.
• Excellent communication and team collaboration skills.
• Ability to adapt to a fast-paced and dynamic environment.

Preferred Qualifications :

• Hands-on experience with MLOps tools and workflows.
• Familiarity with version control systems like Git.
• Exposure to end-to-end product lifecycle from ideation to deployment.

Benefits :

• Competitive salary and performance-based incentives.
• Opportunity to work on cutting-edge AI/ML projects.
• Collaborative and innovative work environment.
• Continuous learning and upskilling opportunities.

What You'll Bring

• Experience: 6+ years building production backend systems in Node.js for B2C products at meaningful scale.

• System Design: This one matters a lot to us. You can reason clearly about scalability, reliability, and trade-offs under real constraints.

• Fundamentals: Strong grasp of API design, service-oriented architecture, data structures, algorithms, and clean code.

• Databases: Depth in SQL and/or NoSQL, data modeling, query optimization, and performance tuning.

• AI-Native: You already use LLMs and agentic approaches to maximize your own efficiency as an engineer.

• Mindset: You enjoy the pace and breadth of a small team, and you are happy picking up whatever moves the product

1. Marketing Strategy & Positioning

• Develop and refine Technostacks’ B2B digital marketing strategy across priority industries: Healthcare, Life Sciences, Industrial, and Logistics.
• Translate technical capabilities and case studies into clear market-facing positioning.
• Identify target buyer personas, pain points, decision journeys, and messaging angles.
• Support industry-specific positioning for services such as AI, digital product engineering, IoT, cloud, data engineering, and bespoke software development.

2. Customer Journey & Campaign Planning

• Map buyer journeys across awareness, consideration, evaluation, and conversion stages.
• Design integrated campaigns that connect content, SEO, paid media, LinkedIn, email, website, retargeting, and sales outreach.
• Create campaign briefs with target audience, campaign thesis, messaging,assets, channels, CTAs, KPIs, and sales handoff logic.
• Build quarterly campaign calendars aligned with business development priorities.

3. Content & Messaging Direction

• Guide the development of website pages, solution pages, landing pages, case studies, blogs, email journeys, LinkedIn content, whitepapers, webinars, and
• sales enablement assets.
• Ensure content is technically grounded, industry-relevant, and aligned to buyer pain points.
• Work with writers, designers, developers, and leadership to convert business conversations into campaign-ready assets.
• Improve the quality and consistency of Technostacks’ digital messaging across channels.

4. Demand Generation & Channel Orchestration

• Coordinate SEO, SEM, LinkedIn, email marketing, retargeting, website conversion, and campaign execution.
• Work with internal teams, freelancers, agencies, and specialists to ensure campaigns are executed coherently.
• Use search, social, competitor, and customer signals to identify campaign opportunities.
• Support founder-led and company-led thought leadership campaigns.

5. Marketing-Sales Alignment

• Work closely with the sales and business development teams to align campaigns with prospecting priorities.
• Create sales-support assets such as outreach hooks, email sequences, LinkedIn messaging, case study recommendations, and vertical-specific pitchnarratives.
• Define lead qualification logic and campaign-to-sales handoff processes.
• Track feedback from sales to improve campaign relevance and lead quality.

6. Measurement & Optimization

• Define and monitor KPIs across channel performance and business outcomes.
• Track metrics such as qualified inquiries, campaign-influenced meetings, landing page conversion, sales-accepted leads, cost per qualified
• conversation, and content-assisted pipeline.
• Use tools such as GA4, Google Search Console, Google Ads, LinkedIn
• Campaign Manager, CRM dashboards, and SEO platforms to monitor performance.
• Build regular reporting systems that connect marketing activity to business impact.

Required Skills & Experience:

• 6–10 years of experience in B2B digital marketing, demand generation,growth marketing, or marketing strategy.
• Experience in B2B technology, SaaS, IT services, consulting, enterprise solutions, or product engineering marketing is strongly preferred.
• Strong understanding of customer journey mapping and integrated campaign planning.
• Ability to convert complex technical capabilities into clear business messaging.
• Working knowledge of SEO, SEM, LinkedIn marketing, email marketing,content strategy, website conversion, and marketing analytics.
• Experience working with sales or business development teams.
• Ability to manage internal teams, agencies, freelancers, or channel specialists.
• Strong analytical mindset with comfort in performance reporting and campaign optimization.
• Excellent communication, briefing, planning, and coordination skills.

Nielsen, a global company specialising in audience measurement and analytics, is currently seeking a proficient leader in data engineering to join their team in Bangalore, Gurgaon, or Mumbai.

This is a manager of managers role that involves managing multiple scrum teams and overseeing an advanced data platform that analyses audience consumption patterns across various channels like OTT, TV, Radio, and Social Media worldwide. You will be responsible for building and supervising a top-performing data engineering team that delivers data for targeted campaigns. Moreover, you will work with AWS services (S3, Lambda, Kinesis) and other data engineering technologies such as Spark, Scala/Python, Kafka, etc. There may also be opportunities to establish deep integrations with OTT platforms like Netflix, Prime Video, and other.

Project Overview

Be part of developing "Fenrir Security" - a groundbreaking autonomous security testing platform. We're creating an AI-powered security testing solution that integrates with an Electron desktop application. This contract role offers the opportunity to build cutting-edge autonomous agent technology for security testing applications.

Contract Details

• Duration: Initial 4-month contract with possibility of extension
• Work Arrangement: Remote with regular online collaboration
• Compensation: Competitive rates based on experience (₹1,00,000-₹1,80,000 monthly)
• Hours: Flexible, approximately 40 hours weekly

Role & Responsibilities

• Develop the core autonomous agent architecture for security testing
• Design and implement the agent's planning and execution capabilities
• Create natural language interfaces for security test configuration
• Build knowledge representation systems for security testing methodologies
• Implement security vulnerability detection and analysis components
• Integrate autonomous capabilities with the Electron application
• Create learning mechanisms to improve testing efficacy over time
• Collaborate with security expert to encode testing approaches
• Deliver functional autonomous testing components at regular milestones
• Participate in technical planning and architecture decisions

Skills & Experience

• 3+ years of AI/ML development experience
• Strong background in autonomous agent systems or similar AI architectures
• Experience with LLM integration and prompt engineering
• Proficiency in Python and relevant AI/ML frameworks
• Knowledge of natural language processing techniques
• Understanding of machine learning approaches for security applications (preferred)
• Ability to work independently with minimal supervision
• Strong problem-solving abilities and communication skills

Why Join Us

• Work at the cutting edge of AI and cybersecurity technology
• Flexible working arrangements and competitive compensation
• Opportunity to solve novel technical challenges
• Potential for equity or profit-sharing in future funding rounds
• Build portfolio-worthy work in an innovative field

Selection Process

1. Initial screening call
2. Technical assessment (paid task)
3. Final interview with founder
4. Contract discussion and onboarding

Job Description:

Responsibilities –

Ensure effective Design, Development, Validation and support activities in line with client needs and architectural requirements.,- Ensure continual knowledge management.,- Adherence to the organizational guidelines and processes

Technical and Professional Requirements :

Minimum 3 years of experience required

Experience in developing React Native app for iOS and Android platform,

Knowledge of React Native available inbuilt UI components and the props those UI component accept,

Should have worked with major node modules such as react-native-maps, @react-native/community geolocation, offline database, etc,

Handle build for simulator and ipa/apk for UAT/Prod release with signing. (Release Management),

Should have worked and deployed iOS App

Should have worked on sqlite

Should have knowledge of database SQL ( Select and update queries)

Inside Sales Associate Responsibilities:

• Persuade prospective clients to engage in a phone conversation and/or meeting to discuss our insurance product.
• Connect with prospects over a call (min of 45 calls to be connected each day)
• Advise clients on the insurance policies that best suit their needs
• Customize insurance programs to suit individual clients
• Deliver approved policies to new clients and explain benefits of the policy
• Issue quotes, maintain client records and prepare reports
• Keep abreast of industry and market trends and best practices
• Scout and identify potential clients with need for insurance coverage
• Contact potential customers through calls, emails and arranged meetings
• Provide elaborate explanation of contract features, benefits, and possible downsides to an insurance coverage (as per market perspective).
• Ensure company policies and procedures are maintained when conducting the sales of insurance services
• Discuss with clients to obtain information in order to provide Quotation.
• Facilitate the payment and handover to post sales team.

Requirements:

• SME’s in corporate sales with minimum of 90% sales target achievement rate each month.
• Minimum of 4-5 hours of calling per day required.
• Corporate Sales experience with Tier 1 organisation contributing to the monthly targets
• Connect with prospects over a call (min of 45 calls to be connected each day)
• Previous working experience in Insurance.
• Excellent communication and presentation skills
• Resilient spirit and a persistent nature
• Impeccable interpersonal skills and friendly attitude
• Well organized with time, excellent time management abilities
• Should be a graduate.