Jr. HR Manager

Job Title: Marketing & Brand Strategy Manager

Location: Arjan Garh, Delhi

Job type: Full time, Onsite

About us: At Timble Glance, our motto, ‘More Data, More Opportunities’, epitomizes our unwavering commitment to equipping forward-thinking enterprises in their battle against fraud. We take pride in building cutting-edge AI solutions to help financial institutions mitigate risk and generate comprehensive data. This data leads to insightful solutions, ensuring effective fraud prevention and risk mitigation.

Key Responsibilities:-

·      Brand Building & Proposition Design: Craft compelling brand narratives and unique value propositions that differentiate Timble and DetoXyFi in competitive markets.

·      B2B SaaS Growth: Scale our SaaS platform through targeted lead generation, funnel optimization, and data-driven marketing strategies.

·      Customer Lifecycle Management: Map and optimize the end-to-end user journey to improve acquisition, retention, and lifetime value (LTV).

·      Omni-channel Marketing: Design and execute integrated campaigns across digital (SEO/SEM, Social, Email) and offline touchpoints.

·      Media Planning & Buying: Strategize and manage media budgets, ensuring optimal ROI through effective channel selection and negotiation.

Stakeholder Management: Act as the primary bridge between Product, Sales, and Leadership teams to align marketing efforts with business goals.

Required Skills & Expertise

• Platform Mastery: Hands-on experience with CRM tools (e.g., HubSpot, Salesforce) and marketing automation.
• Strategic Depth: Proven track record in Media Planning and Brand Architecture.
• Analytical Rigor: Ability to translate raw data into actionable growth insights.
• Communication: Elite storytelling and presentation skills for high-level stakeholder reporting.

Qualifications

·      Experience in Marketing/Brand Management, specifically within the B2B SaaS ecosystem.

·      MBA in Marketing or a related field is highly preferred.

We are seeking a Data Engineer ( Snowflake, Bigquery, Redshift) to join our team. In this role, you will be responsible for the development and maintenance of fault-tolerant pipelines, including multiple database systems.

Responsibilities:

• Collaborate with engineering teams to create REST API-based pipelines for large-scale MarTech systems, optimizing for performance and reliability.
• Develop comprehensive data quality testing procedures to ensure the integrity and accuracy of data across all pipelines.
• Build scalable dbt models and configuration files, leveraging best practices for efficient data transformation and analysis.
• Partner with lead data engineers in designing scalable data models.
• Conduct thorough debugging and root cause analysis for complex data pipeline issues, implementing effective solutions and optimizations.
• Follow and adhere to group's standards such as SLAs, code styles, and deployment processes.
• Anticipate breaking changes to implement backwards compatibility strategies regarding API schema changesAssist the team in monitoring pipeline health via observability tools and metrics.
• Participate in refactoring efforts as platform application needs evolve over time.

Requirements:

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field.
• 3+ years of professional experience with a cloud database such as Snowflake, Bigquery, Redshift.
• +1 years of professional experience with dbt (cloud or core).
• Exposure to various data processing technologies such as OLAP and OLTP and their applications in real-world scenarios.
• Exposure to work cross-functionally with other teams such as Product, Customer Success, Platform Engineering.
• Familiarity with orchestration tools such as Dagster/Airflow.
• Familiarity with ETL/ELT tools such as dltHub/Meltano/Airbyte/Fivetran and DBT.
• High intermediate to advanced SQL skills (comfort with CTEs, window functions).
• Proficiency with Python and related libraries (e.g., pandas, sqlalchemy, psycopg2) for data manipulation, analysis, and automation.

Benefits:

• Work Location: Remote
• 5 days working​

You can apply directly through the link:https://zrec.in/e9578?source=CareerSite

Explore our Career Page for more such jobs : careers.infraveo.com

We are a stealth startup focusing on AI in healthcare and are looking for software engineers to join our PoC (Proof of Concept) team. You will be a core member of the company with equity options. If you are ambitious, excited about next-generation tech and have a constant hunger to learn, we encourage you to apply.

Your responsibilities:

• Design and develop full-stack web applications for PoC.
• Implement computer vision and NLP based deep learning models.
• Participate in client meetings and refine product capabilities.

Essential requirements:

• Interested in working at startups.
• Ability to work independently.
• Experienced in developing full-stack web applications.
• Strong command over React and Python.
• Good experience with Data Science.
• Comfortable with ambiguity and frequent changes to project scope in innovation environment.

Responsibility :

• Create multi-platform apps for iOS and Android using the Flutter development framework.
• Experience developing with Dart, whether with Flutter or for the web.
• Experience contributing to and managing high-scale production mobile apps.
• Proficient in using version control and continuous integration, with tools such as Github.
• Experience with third-party libraries and APIs.
• Responsible for developing and designing front end mobile architecture in flutter, ensuring the responsiveness of mobile applications and working alongside graphic designers for full-stack developers, among other jobs.

Requirements :

• Able to self-manage and attention to detail.
• Have built At least two Android and/or iOS apps.
• Proven working experience in software development.
• Working experience in mobile development.
• Have published one or more mobile apps in Google Play or App Store.
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies.
• Understanding of the full mobile development life cycle, including automated testing and building.
• Experience working in an agile development
• Good communication skills in English.
• Excellent verbal communication skills.
• Good problem-solving skills.

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The candidates who are looking for new trajectories of growth and are determined to convert their vision into realities will find us a perfect team to work with.

We are looking for candidates who are experienced in Website Development preferably in the area of online marketplace/directory websites. The role is responsible for designing, coding, modifying, and maintenance of our website according to our business requirements.

Your day-to-day responsibilities include:

• Write well designed, testable, efficient code by using best website development practices
• Create website layout/user interface by using standard practices
• Integrate data from various back-end services and databases
• Gather and refine specifications and requirements based on business needs
• Create and maintain software documentation
• Be responsible for maintaining, expanding, and scaling our site
• Stay plugged into emerging technologies/industry trends and apply them into operations and activities
• Strong organizational skills to juggle multiple tasks within the constraints of timelines and budgets with business acumen
• Ready to take on additional responsibilities if and when required

Tech stack required:

• Frontend: HTML5, CSS3 (Bootstrap Framework) and JQuery
• Backend: PHP 7 and MySqli 8
• Server: Linux OS, Nginx Server
• DNS Management: CloudFlare
• Basic knowledge of the Search Engine Optimization process

Eligibility criteria:

• The candidate should have work experience in web programming with the above-mentioned tech stack
• The candidates with experience in the startup space will be given preference

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics