Product Marketing Manager

Data Scientist

Job Id: QX003

About Us:

QX impact was launched with a mission to make AI accessible and affordable and deliver AI Products/Solutions at scale for enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights, businesses will continue to face challenges to better understand their customers and even lose them; Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

Position Overview:

We are seeking a collaborative and analytical Data Scientist who can bridge the gap between business needs and data science capabilities. In this role, you will lead and support projects that apply machine learning, AI, and statistical modeling to generate actionable insights and drive business value.

Key Responsibilities:

• Collaborate with stakeholders to define and translate business challenges into data science solutions.
• Conduct in-depth data analysis on structured and unstructured datasets.
• Build, validate, and deploy machine learning models to solve real-world problems.
• Develop clear visualizations and presentations to communicate insights.
• Drive end-to-end project delivery, from exploration to production.
• Contribute to team knowledge sharing and mentorship activities.

Must-Have Skills:

• 3+ years of progressive experience in data science, applied analytics, or a related quantitative role, demonstrating a proven track record of delivering impactful data-driven solutions.
• Exceptional programming proficiency in Python, including extensive experience with core libraries such as Pandas, NumPy, Scikit-learn, NLTK and XGBoost. 
• Expert-level SQL skills for complex data extraction, transformation, and analysis from various relational databases.
• Deep understanding and practical application of statistical modeling and machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and dimensionality reduction.
• Proven expertise in end-to-end machine learning model development lifecycle, including robust feature engineering, rigorous model validation and evaluation (e.g., A/B testing), and model deployment strategies.
• Demonstrated ability to translate complex business problems into actionable analytical frameworks and data science solutions, driving measurable business outcomes.
• Proficiency in advanced data analysis techniques, including Exploratory Data Analysis (EDA), customer segmentation (e.g., RFM analysis), and cohort analysis, to uncover actionable insights.
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).
• Experience in designing and implementing data models, including logical and physical data modeling, and developing source-to-target mappings for robust data pipelines.
• Exceptional communication skills, with the ability to clearly articulate complex technical findings, methodologies, and recommendations to diverse business stakeholders (both technical and non-technical audiences).

Good-to-Have Skills:

• Experience with cloud platforms (Azure, AWS, GCP) and specific services like Azure ML, Synapse, Azure Kubernetes and Databricks.
• Familiarity with big data processing tools like Apache Spark or Hadoop.
• Exposure to MLOps tools and practices (e.g., MLflow, Docker, Kubeflow) for model lifecycle management.
• Knowledge of deep learning libraries (TensorFlow, PyTorch) or experience with Generative AI (GenAI) and Large Language Models (LLMs).
• Proficiency with business intelligence and data visualization tools such as Tableau, Power BI, or Plotly.
• Experience working within Agile project delivery methodologies.

Competencies:

·        Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.

·        Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.

·        Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.

·        Customer Focus - Building strong customer relationships and delivering customer-centric solutions.

·        Optimizes Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

Job Title: Sr. Node.js Developer

Location: Ahmedabad, Gujarat

Job Type: Full Time

Department: MEAN Stack

About Simform:

Simform is a premier digital engineering company specializing in Cloud, Data, AI/ML, and Experience Engineering to create seamless digital experiences and scalable products. Simform is a strong partner for Microsoft, AWS, Google Cloud, and Databricks. With a presence in 5+ countries, Simform primarily serves North America, the UK, and the Northern European market.

Simform takes pride in being one of the most reputed employers in the region, having created a thriving work culture with a high work-life balance that gives a sense of freedom and opportunity to grow.

Role Overview: 

We are looking for a Sr. Node Developer who not only possesses extensive backend expertise but also demonstrates proficiency in system design, cloud services, microservices architecture, and containerization. (Additionally, a good understanding of frontend tech stack to give support to frontend developers is highly valued) We're currently seeking a seasoned Senior Node.js Engineer who not only possesses extensive backend expertise but also demonstrates proficiency in system design, cloud services, microservices architecture, and containerization. (Additionally, a good understanding of frontend tech stack to give support to frontend developers is highly valued) 

Key Responsibilities:

• Develop reusable, testable, maintainable, and scalable code with a focus on unit testing.
• Implement robust security measures and data protection mechanisms across projects.
• Champion the implementation of design patterns such as Test-Driven Development (TDD) and Behavior-Driven Development (BDD).
• Actively participate in architecture design sessions and sprint planning meetings, contributing valuable insights.
• Lead code reviews, providing insightful comments and guidance to team members.
• Mentor team members, assisting in debugging complex issues and providing optimal solutions.

Required Skills & Qualifications:

• Excellent written and verbal communication skills.
• Experience: 4+yrs
• Advanced knowledge of JavaScript and TypeScript, including core concepts and best practices.
• Extensive experience in developing highly scalable services and APIs using various protocols.
• Proficiency in data modeling and optimizing database performance in both SQL and NoSQL databases.
• Hands-on experience with PostgreSQL and MongoDB, leveraging technologies like TypeORM, Sequelize, or Knex.
• Proficient in working with frameworks like NestJS, LoopBack, Express, and other TypeScript-based frameworks.
• Strong familiarity with unit testing libraries such as Jest, Mocha, and Chai.
• Expertise in code versioning using Git or Bitbucket.
• Practical experience with Docker for building and deploying microservices.
• Strong command of Linux, including familiarity with server configurations.
• Familiarity with queuing protocols and asynchronous messaging systems.

Preferred Qualification:

• Experience with frontend JavaScript concepts and frameworks such as ReactJS.
• Proficiency in designing and implementing cloud architectures, particularly on AWS services.
• Knowledge of GraphQL and its associated libraries like Apollo and Prisma.
• Hands-on experience with deployment pipelines and CI/CD processes.
• Experience with document, key/value, or other non-relational database systems like Elasticsearch, Redis, and DynamoDB.
• Ability to build AI-centric applications and work with machine learning models, Langchain, vector databases, embeddings, etc.

Why Join Us:

• Young Team, Thriving Culture
• Flat-hierarchical, friendly, engineering-oriented, and growth-focused culture.
• Well-balanced learning and growth opportunities
• Free health insurance.
• Office facilities with a game zone, in-office kitchen with affordable lunch service, and free snacks.
• Sponsorship for certifications/events and library service.
• Flexible work timing, leaves for life events, WFH, and hybrid options

At Intain, we fuse blockchain, analytics, and AI to power next-gen platforms for structured finance.

Join us to build on the cutting edge—smart-contract rails, real-time analytics, and AI-assisted workflows—all in one product stack.

What You’ll Do

• Own features end-to-end: design → code → test → deploy → iterate.
• Build modern web apps (React.js / Node.js, REST/GraphQL) that move real money.
• Automate quality with tests, CI/CD, and cloud (Azure).
• Use AI dev assistants to hit our “1 dev = 4 devs” productivity bar.

Our Stack

React.js · Node.js · Go · Snowflake · Azure · Kubernetes · Git Workflows · Postgres/MongoDB · Solidity

You Bring

• Proven full-stack delivery in JS/TS (React + Node).
• Habit of shipping clean, production-ready code—fast.
• Comfort treating AI coding tools as teammates, not toys.
• Ownership mindset: measured by what you deliver, not tenure.
• Blockchain dev experience = bonus (not required).

Why Intain?

• Openings for Tech Lead and Senior Engineer — core seats on a small, high-output team.
• Compensation & ESOPs tied directly to shipped value.
• Chance to redefine capital markets with tech that actually ships.

📍 About Us

Intain is transforming structured finance using AI, blockchain, and real-time analytics to streamline transactions, improve transparency, and scale impact.

Position: MEAN / MERN Stack Developer

Location: Pune, India

Experience Required: 0+ Years

We are looking for a DevSecOps engineer to contribute to product development, mentor team members, and devise creative solutions for customer needs. We value effective communication in person, in documentation, and in code. Ideal candidates thrive in small, collaborative teams, love making an impact, and take pride in their work with a product-focused, self-driven approach. If you're passionate about integrating security and deployment seamlessly into the development process, we want you on our team.

About FlytBase

FlytBase is a global leader in enterprise drone software automation. FlytBase platform is enabling drone-in-a-box deployments all across the globe and has the largest network of partners in 50+ countries.

The team comprises young engineers and designers from top-tier universities such as IIT-B, IIT-KGP, University of Maryland, Georgia Tech, COEP, SRM, KIIT and with deep expertise in drone technology, computer science, electronics, aerospace, and robotics.

The company is headquartered in Silicon Valley, California, USA, and has R&D offices in Pune, India. Widely recognized as a pioneer in the commercial drone ecosystem, FlytBase continues to win awards globally - FlytBase was the Global Grand Champion at the ‘NTT Data Open Innovation Contest’ held in Tokyo, Japan, and was the recipient of ‘ TiE50 Award’ at TiE Silicon Valley.

Role and Responsibilities:

• Collaborate with Designers, Product Managers for carving out the right front-end architecture.
• Develop web applications that are secure, reusable, modular, and scalable.
• Develop robust, modular, and testable code
• Optimize frontend load times, debug rendering issues, and overall provide a smooth experience to the user.
• Work directly with UI/UX, Product, and Customer Success to help create impacting customer features as the product face of FlytBase.

Experience/Skills:

• Experience in building scalable and component-based UI architecture for the enterprise using Angular and/or any modern front-end framework.
• Strong coding experience in TypeScript, JavaScript, HTML, and CSS
• Implementing micro-frontends patterns using technology like NgRX, NgXS, and Web Components.
• Experience working in a complete Software Development life cycle involving analysis, technical design, development, testing, troubleshooting, maintenance, documentation and Agile Methodology
• Good understanding of REST APIs and Microservices. 
• Should have an understanding of how resources are organized and how applications should align based on the same.

Good to have:

• Hands-on experience working with server-side JavaScript frameworks like Express, etc. (based on Node.js) for building APIs.
• Building Micro-Frontend component-based architecture for standardized UI elements across a suite of products will be a plus.
• Experience in CI/CD, Testing, Security, and Code Quality processes for UI applications.

Compensation:

This role comes with an annual CTC that is market competitive and depends on the quality of your work experience, degree of professionalism, culture fit, and alignment with FlytBase’s long-term business strategy.

Perks:

• Fast-paced Startup culture
• Enthusiastic and approachable team
• Professional autonomy
• Company-wide sense of purpose
• Flexible work hours

Position: Business Development Manager

Shift Timing: 10 AM to 7 PM - Monday to Saturday (Remote)

Company: JNJ Technologies & Services LLP - http://jnjservices.co.in/ Location: Vijayawada, Andra Pradesh

Language: English

Salary: 5 LPA to 7.20 LPA

We are looking for a motivated and ambitious Business Development Manager to expand our clientele. You will be responsible for applying different sales strategies and work with dedication to increase sales. Your ultimate goal will be to drive sustainable financial growth by boosting sales and maintaining strong client relationships.

Requirements:

• Bachelor’s degree in business, marketing or related field.

• 4 - 8 Years of Experience in sales, marketing or related field.

• Strong communication skills and IT fluency.

• Ability to manage complex projects and multi-task.

• Excellent organizational skills.

• Ability to flourish with minimal guidance, be proactive, and handle uncertainty.

• Proficient in Word, Excel, Outlook, and PowerPoint.

• Comfortable using a computer for various tasks.

Responsibilities:

• Develop a growth strategy focused both on financial gain and customer satisfaction

• The responsibilities of a Sales Manager Own recruiting, objectives setting, coaching and performance monitoring of sales representatives. • Prepare sales contracts ensuring adherence to law-established rules and guidelines • Keep records of sales, revenue, invoices etc.

• Provide trustworthy feedback and after-sales support.

Role Overview:

As our Clinical Quality Analyst, you will play a pivotal role in enhancing clinical processes and maintaining regulatory compliance. You will spearhead quality improvement initiatives and ensure adherence to established clinical standards. The role demands a meticulous approach and a commitment to clinical excellence.

Responsibilities:

• Clinical Process Enhancement: Evaluate clinical procedures and documentation to identify areas for improvement, ensuring adherence to industry standards.
• Audits and Assessments: Conduct compliance audits and assessments to provide continuous improvement feedback and maintain industry compliance.
• Team Collaboration: Collaborate with clinical teams, guiding them on best practices and fostering a culture of clinical excellence.
• Data Analysis: Collect, analyze, and interpret clinical quality data and metrics for performance evaluation and decision-making.
• Client Audit Preparedness: Prepare and engage in client audits, including regular mock audits, ensuring preparedness and compliance.
• Reporting and Recommendations: Create comprehensive reports and presentations on quality findings, suggesting enhancement strategies.
• Quality Initiative Support: Assist in developing and implementing initiatives focused on enhancing quality standards.
• Regulatory Adherence: Stay updated on industry regulations, clinical guidelines, and best practices to ensure compliance and innovation.
• Effective Communication: Communicate quality-related issues and recommendations to stakeholders efficiently.
• Training Participation: Engage in quality-focused training and educational programs for continuous professional development.

Qualifications:

• BAMS, BHMS, BDS
• 1–5 years of clinical or healthcare setting experience.
• Profound knowledge of medical terminology and clinical processes.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
• Excellent English communication, written and verbal.
• Strong attention to detail and analytical skills for complex data handling.
• Willing to work in both day and night shifts from our office at Elippode, Trivandrum.

• Setting up Advertising Campaigns across different platforms such as social media platforms (Facebook, Twitter, LinkedIn, etc.), Google Marketing Stack, DCM, Programmatic platforms like Xandr. 
• Troubleshooting campaigns setup on platform 
• Talk to partners to setup programmatic deals 
• Clearly and regularly communicate progress to the Account Management
• Work with both Advertiser teams to ensure campaign setup is done within deadline
• Work with Creative Tags (esp. DCM and other ad server tags), troubleshooting the creative tags, 
• Ability to implement and troubleshoot website pixels.

• 2-3 years of experience in Demand Side Ad Operations
• Strong understanding online advertising and its operational flow
• Strong understanding of basic ad-servicing and its mechanism
• Knowledge of a programmatic platform like Xandr
• Hands-on experience on Microsoft excel

• Work closely with your business to identify issues and use data to propose solutions for effective decision making
• Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation.
• Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
• Querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Visualizing/presenting data through various Dashboards for Data Analysis, Using Python Dash, Flask etc.
• Test data mining models to select the most appropriate ones for use on a project
• Work in a POSIX/UNIX environment to run/deploy applications
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• Horizon scan to stay up to date with the latest technology, techniques and methods
• Coordinate with different functional teams to implement models and monitor outcomes.
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

• Able to create algorithms to extract information from large data sets
• Strong knowledge of Python, R, Java or another scripting/statistical languages to automate data retrieval, manipulation and analysis.
• Experience with extracting and aggregating data from large data sets using SQL or other tools
• Strong understanding of various NLP, and NLU techniques like Named Entity Recognition, Summarization, Topic Modeling, Text Classification, Lemmatization and Stemming.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, etc.
• Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
• Experience with Jupyter / Pandas / Numpy to manipulate and analyse data
• Knowledge of Machine Learning techniques and their respective pros and cons
• Strong Knowledge of various Data Science Visualization Tools like Tableau, PowerBI, D3, Plotly, etc.
• Experience using web services: Redshift, AWS, S3, Spark, DigitalOcean, etc.
• Proficiency in using query languages, such as SQL, Spark DataFrame API, etc.
• Hands-on experience in HTML, CSS, Bootstrap, JavaScript, AJAX, jQuery and Prototyping.
• Hands-on experience on C#, Javascript, .Net
• Experience in understanding and analyzing data using statistical software (e.g., Python, R, KDB+ and other relevant libraries)
• Experienced in building applications that meet enterprise needs – secure, scalable, loosely coupled design
• Strong knowledge of computer science, algorithms, and design patterns
• Strong oral and written communication, and other soft skills critical to collaborating and engage with teams