Influencer Marketing Manager

Must have skills:

1. GCP - GCS, PubSub, Dataflow or DataProc, Bigquery, Airflow/Composer, Python(preferred)/Java

2. ETL on GCP Cloud - Build pipelines (Python/Java) + Scripting, Best Practices, Challenges

3. Knowledge of Batch and Streaming data ingestion, build End to Data pipelines on GCP

4. Knowledge of Databases (SQL, NoSQL), On-Premise and On-Cloud, SQL vs No SQL, Types of No-SQL DB (At least 2 databases)

5. Data Warehouse concepts - Beginner to Intermediate level

Role & Responsibilities:

● Work with business users and other stakeholders to understand business processes.

● Ability to design and implement Dimensional and Fact tables

● Identify and implement data transformation/cleansing requirements

● Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data

from various systems to the Enterprise Data Warehouse

● Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical

data definitions

● Design, develop and maintain ETL workflows and mappings using the appropriate data load technique

● Provide research, high-level design, and estimates for data transformation and data integration from source

applications to end-user BI solutions.

● Provide production support of ETL processes to ensure timely completion and availability of data in the data

warehouse for reporting use.

● Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate,

design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and

data quality.

● Work collaboratively with key stakeholders to translate business information needs into well-defined data

requirements to implement the BI solutions.

● Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into

reporting & analytics.

● Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions.

● Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers,

quality issues, and continuously validate reports, dashboards and suggest improvements.

● Train business end-users, IT analysts, and developers.

About Us

We are a fast-growing startup based in Pune, India, specializing in cutting-edge Data Science and Data Engineering solutions. Our team of dedicated professionals is committed to solving complex data challenges for companies worldwide.

Our Culture We foster a vibrant startup culture that values: • Intellectual curiosity • Continuous learning • Positive work environment • Collaborative problem-solving

Role Overview

We are seeking a versatile and proactive Data Scientist to join our dynamic team. The ideal candidate will possess a blend of technical expertise in modern AI/ML technologies, strategic planning, and effective communication skills. This role demands critical thinking, applying data science and problem-solving skills to a wide variety of real-world problems, adaptability to rapidly evolving technologies, and a strong foundation in both traditional and generative AI principles.

Key Responsibilities • Deliver end-to-end data science projects by applying Machine Learning and Deep Learning fundamentals to solve complex problems • Derive actionable insights for a variety of problems, industries, and domains using statistical analysis and advanced data science techniques • Develop high-quality software solutions with Python and other programming languages. Collaborate with developers to understand and improve existing code or create new solutions • Build and deploy production-ready LLM applications using modern frameworks and best practices • Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and embedding models • Perform prompt engineering and optimization to maximize LLM performance for specific use cases • Implement agentic AI systems and multi-agent workflows for complex automation tasks • Evaluate and benchmark LLM outputs using appropriate metrics and testing frameworks • Build sophisticated data pipelines for large-scale data processing using modern orchestration tools • Optimize database performance and create efficient SQL queries • Deploy and monitor ML models in production using MLOps practices and containerization • Practice active listening to understand project requirements and team inputs • Collaborate with clients to translate business requirements into data science solutions • Communicate complex ideas and results clearly to stakeholders through both verbal and written formats • Apply responsible AI principles and ensure ethical considerations in model development • Demonstrate punctuality and a strong sense of ownership in all tasks • Plan strategically and multitask efficiently to meet project deadlines • Employ critical thinking to break down problems and debug effectively • Take initiative and be biased towards action to drive project progress Required Skills Core Programming & ML • Strong Python programming skills with hands-on project experience • Expertise in Machine Learning and Deep Learning algorithms (Random Forests, GBMs, Neural Networks, CNNs, RNNs, Transformers, Ensemble methods) • Proficiency in TensorFlow or PyTorch, along with scikit-learn and pandas • Familiarity with modern ML techniques: Transfer Learning, Few-shot Learning, Self-supervised Learning • Experience with NLP, Computer Vision, or Time Series Analysis Generative AI & LLMs • Hands-on experience with LLM providers (OpenAI, Anthropic Claude, Google Gemini, or open-source models) • Proficiency with GenAI orchestration frameworks (LangChain, LangGraph, LlamaIndex, or DSPy) • Experience building RAG applications with vector databases (Pinecone, Weaviate, Chroma, FAISS) • Strong prompt engineering skills and understanding of prompt optimization techniques • Knowledge of fine-tuning techniques (LoRA, QLoRA) and when to apply them • Understanding of LLM evaluation metrics and benchmarking methodologies • Familiarity with agentic AI architectures and multi-agent systems MLOps & Deployment • Experience with MLOps practices and tools (MLflow, Kubeflow, Weights & Biases) • Proficiency with containerization using Docker and orchestration with Kubernetes • Experience with cloud platforms (AWS, Azure, or GCP) for ML model deployment and monitoring • Understanding of CI/CD pipelines for ML applications • Knowledge of model serving frameworks and API development (FastAPI, Flask, or Django) Data Engineering & Databases • Solid understanding of SQL, including advanced concepts like windowing functions and query optimization • Experience with data pipeline orchestration tools (Airflow, Prefect, or similar) • Familiarity with both SQL and NoSQL databases Soft Skills & Professional Attributes • Strong critical thinking and problem-solving skills • Excellent written and verbal communication abilities • Demonstrated ability to work well in a team and independently • High degree of flexibility and adaptability to rapidly evolving technologies • Understanding of AI safety principles and responsible AI practices

Nice-to-Have • Experience with big data technologies (Spark, Hadoop, Databricks) • Familiarity with BI tools and dashboard creation (Tableau, Power BI, Looker) • Knowledge of graph databases and knowledge graph construction • Experience with real-time streaming data processing • Active participation in data science competitions (Kaggle, DrivenData) • Contributions to open-source AI/ML projects or technical blog • Experience with multimodal AI models (vision-language models, audio processing) • Published research papers or conference presentations

Qualifications • Data Scientist I: 0-2 years of hands-on experience in Data Science projects • Data Scientist II: 2-5 years of hands-on experience in Data Science projects • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related technical field • Demonstrated commitment to continuous learning through courses, certifications, or self-study (especially in GenAI and modern ML techniques)

What We Offer • Competitive salary commensurate with experience • Opportunity to work on diverse, cutting-edge AI/ML projects • Collaborative and innovation-driven work environment • Rapid growth and continuous learning opportunities • Exposure to latest AI technologies and industry best practices

Link for application -  https://forms.gle/9GENVfPeXdtgi7Zj7

We are looking for a candidate with good communication skills who is hard-working and eager to learn. The ideal candidate should be able to join the company as soon as possible and must be capable of working independently as well as being a strong team player. Knowledge of WordPress, Joomla, CakePHP, or any other open-source platform will be an added advantage. Key technical skills required for this role include Cake PHP, HTML, CSS, MySQL, JavaScript, jQuery, and AJAX.

Position: CakePHP Developer

Required Skills & Knowledge

• Strong understanding of OOP (Object-Oriented Programming) concepts
• Proficiency in PHP, MySQL, HTML, AJAX, JavaScript / jQuery
• Working knowledge of Magento or WordPress (any one)
• Familiarity with social media APIs (e.g., YouTube, Vimeo, Facebook, Twitter, Dailymotion) is preferred
• Ability to quickly learn and adapt to different development tools
• Experience with CakePHP (Framework / Open Source)
• 
  

Job Types: Full-time, Permanent, Internship



Benefits:

• Flexible schedule
• Leave encashment
• Provident Fund

Key Responsibilities:

• Develop and maintain both front-end and back-end components of web applications.
• Collaborate with product managers, designers, and other developers to build user-friendly features.
• Write clean, maintainable, and efficient code that adheres to coding standards and best practices.
• Build reusable code and libraries for future use.
• Optimize applications for maximum speed and scalability.
• Implement responsive design to ensure consistent user experience across all devices.
• Work with databases (SQL/NoSQL) and integrate with third-party services and APIs.
• Troubleshoot, debug, and optimize application performance.
• Participate in code reviews, ensuring code quality and consistency across the team.
• Stay updated on the latest industry trends and best practices in full-stack development.
• Contribute to an agile development process, attending sprints, standups, and retrospectives.

Required Skills and Qualifications:

• Proven experience as a Full Stack Developer or similar role.
• Proficiency in front-end technologies such as HTML, CSS, JavaScript, and modern frameworks (React.js, Next.js, Angular, or Vue.js).
• Strong experience in back-end technologies such as Node.js, Python, Ruby, Java, or PHP.
• Familiarity with database technologies (e.g., MySQL, PostgreSQL, MongoDB).
• Experience with version control systems, particularly Git.
• Knowledge of RESTful API design and integration.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud is a plus.
• Experience in microservices based architecture is a plus.
• Strong problem-solving skills and attention to detail.
• Ability to work independently as well as part of a team.
• Excellent communication skills, both verbal and written.

Responsibilities

• Work with stakeholders and fellow developers.
• Design and implement Python code using the Django framework.
• Identify and fix bottlenecks that may arise from inefficient code.
• Identify and fix software bugs.
• Create a wide variety of unit tests to verify the functionality of the software.
• Manage the security of the platform.
• Write detailed documentation around the code.
• Knowledge of front end languages.
• Create and maintain the application's architecture
• Write code that is reusable, testable, and efficient
• Create and implement applications that are low-latency, high-availability, and performant
• Integration of front-end developer-created user-facing components with server-side logic
• Security and data protection implementation
• Data storage solution integration

Skills

• Able to use Postman, JIRA or similar tools
• Python expert with an understanding of at least one Python web framework, such as Django, Flask, or others
• Working knowledge of several ORM (Object Relational Mapper) libraries
• Capable of combining many data sources and databases into a single system
• Knowledge of Python's threading constraints and multi-process architecture
• Solid knowledge of server-side templating languages such as Jinja 2, Mako, etc.
• Fundamental knowledge of front-end technologies such as JavaScript, HTML5, and CSS3
• Knowledge of accessibility and security regulations
• Managing and maintaining AWS
• Able to create RESTful APIs
• Able to integrate third-party APIs
• Familiarity with user authentication
• Authorisation across numerous systems, servers, and settings
• Knowledge of the core design ideas underlying a scalable application
• Experience with Python event-driven programming
• Understanding the distinctions between various delivery platforms, such as mobile vs desktop, and optimising output to meet the individual platform
• Capable of developing database schemas to represent and support business operations
• Excellent unit testing and debugging abilities
• Thorough knowledge of code versioning systems such as Git, Mercurial, or SVN
• Able to deploy the app on client cloud as well.

Requirements:

• Bachelor’s/Master in computer science
• 3-5 years of work experience
• Excellent problem-solving skills
• Able to work in a fast, unstructured environment
• Excellent communication and collaboration skills
• Must have access to FTTH internet connection

Role: SDET-2 (Backend API automation testing)

JD :-

Years of experience: 2 to 5

Automation experience: API Automation testing using Restassured, Karate, Jesry Client or HTTP Client (Minimum 2 Years relevant experience recently)

Programming language: Java.

Meesho. :- https://meesho.com">https://meesho.com

Meesho is India's largest social commerce platform, on a mission to enable anyone to start their businesses with zero investment. Our entrepreneurs largely comprise housewives (between 25-45) from middle income households and / or tier 2+ India. Our marketplace provides entrepreneurs with the right supply across 100+ categories, logistics, & payment capabilities to successfully run their business. Our social sharing integrations with Whatsapp, Facebook and Instagram enable our entrepreneurs to monetise their large social network such as friends, family and more.

Meesho's vision is to enable 100M Small Businesses in India to succeed online. We have 10M+ women entrepreneurs running biz online and we are just getting started.

Meesho has raised $190M+ from Naspers, Facebook, Sequoia, Elevation, Shunwei, Venture Highway, Y Combinator and others.
Awards and Recognition: Forbes 30 Under 30 (India and Asia list), Entrepreneur 35 Under 35, India's Most Innovative Company 2020 by Fast Company, Young Turk Startup of the Year 2020 by CNBC (awarded by Finance Minister Smt. Nirmala Sitharaman), First Startup Investment by Facebook in India, Linkedin Top Startup 2019 and 2020, Y Combinator Top Companies 2019.