Machine Learning Engineer - II

• Strong UX-focused Product Design Profile
• Mandatory (Experience 1) - Must have 5+ YOE in Product Design, with a focus on UX Research, Designs and Design Operations, primarily in the B2B domain
• Mandatory (Experience 2) - Must have strong experience with Large-scale B2B Enterprise products
• Mandatory (Designation) - Must be Lead or above designation in Current role
• Mandatory (Team Management) - Must have atleast recent 1+ YOE as a Team Lead
• Mandatory (Portfolio) - Must have strong B2B Products Case Studies for Complex B2B Enterprise level applications, with multiple connected modules (Dont want just simple UI screens in portfolio)
• Mandatory (Company) - Large-Scale B2B SaaS / Enterprise-level Products

Preferred

• Preferred (Experience) - Automotive, Retail or Dealerships domain experience

Job Description

We are looking for a senior resource with Analyst skills and knowledge of IT projects, to support delivery of risk mitigation activities and automation in Aviva’s Global Finance Data Office. The successful candidate will bring structure to this new role in a developing team, with excellent communication, organisational and analytical skills. The Candidate will play the primary role of supporting data governance project/change activities. Candidates should be comfortable with ambiguity in a fast-paced and ever-changing environment. Preferred skills include knowledge of Data Governance, Informatica Axon, SQL, AWS. In our team, success is measured by results and we encourage flexible working where possible.

Key Responsibilities

• Engage with stakeholders to drive delivery of the Finance Data Strategy
• Support data governance project/change activities in Aviva’s Finance function.
• Identify opportunities and implement Automations for enhanced performance of the Team

Required profile

• Relevant work experience in at least one of the following: business/project analyst, project/change management and data analytics.
• Proven track record of successful communication of analytical outcomes, including an ability to effectively communicate with both business and technical teams.
• Ability to manage multiple, competing priorities and hold the team and stakeholders to account on progress.
• Contribute, plan and execute end to end data governance framework.
• Basic knowledge of IT systems/projects and the development lifecycle.
• Experience gathering business requirements and reports.
• Advanced experience of MS Excel data processing (VBA Macros).
• Good communication

Additional Information

Degree in a quantitative or scientific field (e.g. Engineering, MBA Finance, Project Management) and/or experience in data governance/quality/privacy
Knowledge of Finance systems/processes
Experience in analysing large data sets using dedicated analytics tools

Designation – Assistant Manager TS

Location – Bangalore

We’re Hiring! Join our growing team at Oneforma.

📌 Role: Search Engine Evaluator.

📍 Location: Remote

🕒 Type: Part-time / Freelance / Internship

💼 Experience: Freshers welcome/Evaluation experience.

Main requirements:

• You are a native or fluent speaker of English
• You are fluent in English, as all Guidelines and certifications will be in English
• You are currently based in India, and you have been living here for at least 5 years. Our evaluators must be familiar with the local businesses, points of interest , colloquialisms, etc.
• You have access to a good internet connection and a computer.
• You are available for at least 20 hours per week – Schedule is totally flexible: you decide when to work!
• You are willing to take our entry certifications to ensure you qualify for this project.

Apply Here: https://go.oneforma.com/3W6H5Hd

About Us:

We’re a fast-growing branding and marketing agency that works with emerging businesses and established brands alike. Our work goes beyond ads - we shape identities, build recall, and create campaigns that are as strategic as they are creative. To scale smarter and drive measurable impact, we’re looking for a Performance Marketing Executive who knows their way around paid media like the back of their hand.

Role Overview:

As a Performance Marketing Executive, you will be responsible for planning, executing, optimising, and reporting on paid campaigns across digital platforms. You’ll work closely with creative teams, strategists, and account managers to translate campaign goals into high-performing ads — all while keeping performance data front and centre.

Key Responsibilities:

● Campaign Management: ○ Plan and execute performance marketing campaigns across Meta (Facebook/Instagram), Google Ads (Search, Display, YouTube), LinkedIn, and other relevant channels for various clients. ○ Ensure campaigns are aligned with broader brand and marketing goals for each client. ○ Manage budgets across platforms, maximising ROI and maintaining CPA/ROAS goals.

● Performance Analysis & Optimisation: ○ Track and analyse campaign performance using Google Analytics, platform dashboards, and internal tools. ○ Continuously test and optimize creatives, copies, targeting, and bid strategies. ○ Generate insightful performance reports with actionable next steps.

● Collaboration & Strategy: ○ Work closely with content, creative, and branding teams to develop compelling ad creatives and copies. ○ Collaborate with account managers and strategists to build full-funnel performance marketing plans tailored to client objectives.

● Keyword & Audience Research: ○ Conduct in-depth keyword research for SEM campaigns. ○ Define and refine target audience segments for better ad targeting and relevance.

● A/B Testing & Innovation: ○ Run structured A/B tests across platforms to improve CTR, conversion rates, and overall campaign performance. ○ Stay up-to-date with platform changes and emerging digital marketing trends.

Required Skills & Qualifications:

● 3 to 4 years of hands-on experience in performance marketing and paid media

● Proficiency in Meta Ads Manager, Google Ads, LinkedIn Ads, and Google Analytics (GA4 preferred).

● Solid understanding of conversion tracking, pixel setup, UTM parameters, and basic funnel tracking.

● Strong Excel/Google Sheets skills for budget planning and reporting. ● Working knowledge of SEO and organic content strategy.

● Certification in Google Ads / Meta Blueprint.

● A data-first mindset with creative instincts.

Who You Are:

● You think in click-through rates and live for campaign dashboards.

● You understand the delicate balance between creative storytelling and conversion-driven content.

● You're not afraid to ask questions, test wild ideas, and push for better performance.

● You have an ROI driven approach.

● You enjoy working in a fast-paced, creative environment where no two campaigns look the same.

if anyone interested then apply through link directly:- https://tiny.cc/NGtalent

A Delhi NCR based Applied AI & Consumer Tech company tackling one of the largest unsolved consumer internet problems of our time. We are a motley crew of smart, passionate and nice people who believe you can build a high performing company with a culture of respect aka a sports team with a heart aka a caring meritocracy.

Our illustrious angels include unicorn founders, serial entrepreneurs with exits, tech & consumer industry stalwarts and investment professionals/bankers.

We are hiring for our founding team (in Delhi NCR only, no remote) that will take the product from prototype to a landing! Opportunity for disproportionate non-linear impact, learning and wealth creation in a classic 0-1 with a Silicon Valley caliber founding team.

Key Responsibilities:

1.   Data Strategy and Vision:

·       Develop and drive the company's data analytics strategy, aligning it with overall business goals.

·       Define the vision for data analytics, outlining clear objectives and key results (OKRs) to measure success.

2.   Data Analysis and Interpretation:

·       Oversee the analysis of complex datasets to extract valuable insights, trends, and patterns.

·       Utilize statistical methods and data visualization techniques to present findings in a clear and compelling manner to both technical and non-technical stakeholders.

3.   Data Infrastructure and Tools:

·       Evaluate, select, and implement advanced analytics tools and platforms to enhance data processing and analysis capabilities.

·       Collaborate with IT teams to ensure a robust and scalable data infrastructure, including data storage, retrieval, and security protocols.

4.   Collaboration and Stakeholder Management:

·       Collaborate cross-functionally with teams such as marketing, sales, and product development to identify opportunities for data-driven optimizations.

·       Act as a liaison between technical and non-technical teams, ensuring effective communication of data insights and recommendations.

5.   Performance Measurement:

·       Establish key performance indicators (KPIs) and metrics to measure the impact of data analytics initiatives on business outcomes.

·       Continuously assess and improve the accuracy and relevance of analytical models and methodologies.

Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
• Proven experience (5+ years) in data analytics, with a focus on leading analytics teams and driving strategic initiatives.
• Proficiency in data analysis tools such as Python, R, SQL, and advanced knowledge of data visualization tools.
• Strong understanding of statistical methods, machine learning algorithms, and predictive modelling techniques.
• Excellent communication skills, both written and verbal, to effectively convey complex findings to diverse audie 

• Execute an ecosystem strategy for adding and growing key data partners to the Platform. Typical deal structure will include partner identification, outreach, negotiation of terms, and closing
  
• Maintain positive relationships with existing data partners, piloting new initiatives and evaluating the performance of these initiatives as part of the larger Platform strategy
  
• Research and develop innovative new business models and growth opportunities with partners; negotiate, structure, and execute relevant agreements
  
• Execute high-impact marketing programs around new data partner initiatives to enhance positioning
  
• Assist with high profile client and new business initiatives relating to specific client data acquisition requirements
  
• Operate as an expert in the data ecosystem, with deep knowledge of 3rd party data providers, publisher and supply direct relationships, and WPP companies
  
• Oversee quarterly reports on market, industry and adoption rates for management team measuring the business value of the program, present findings to senior management
  
• Find and understand new and emerging technologies; bring new ideas and perspectives back into R&D and the business

• Bachelor’s degree in Marketing, Advertising, Economics, Computer Science, Information Systems, Business Analytics, or related field.
• OR equivalent professional work experience
• Comprehensive knowledge of the media and advertising landscape along with the major players in the marketplace
• Deep understanding of addressable marketing, audience segmentation and targeting, and both traditional and programmatic media channels
• Excellent problem-solving, organizational and analytical skills, with the ability to evolve product strategy based on research, data and industry trends
• A passion for strategic omni-channel marketing and advertising
• Proven communication, leadership, and persuasion skills
• Outstanding writing, presentation, and overall communication skills
• Success managing a direct report

• 5+ years of experience building real-time and distributed system architecture, from whiteboard to production
• Strong programming skills in Python, Scala  and SQL.
• Versatility. Experience across the entire spectrum of data engineering, including:
• Data stores (e.g., AWS RDS, AWS Athena, AWS Aurora, AWS Redshift)
• Data pipeline and workflow orchestration tools (e.g., Azkaban, Airflow)
• Data processing technologies (e.g., Spark, Pentaho)
• Deployment and monitoring large database clusters in public cloud platforms (e.g., Docker, Terraform, Datadog)
• Creating ETL or ELT pipelines that transform and process petabytes of structured and unstructured data in real-time
• Industry experience building and productionizing innovative end-to-end Machine Learning systems is a plus.

Role & Responsibilities

• Strong proficiency in C++ with minimum 2 years of Development
• Knowledge of the STL, containers, algorithms and data
• Good understanding on Design patterns and memory
• Familiarity with debugging tools, such as Valgrind, winDBG, WireShark is an additional advantage.

Desired Experience

• (2-6 Years) of Experience as C++ Developer