Data Scientist

Job Title : Senior AWS Data Engineer

Experience : 5+ Years

Location : Gurugram

Employment Type : Full-Time

Job Summary :

Seeking a Senior AWS Data Engineer with expertise in AWS to design, build, and optimize scalable data pipelines and data architectures. The ideal candidate will have experience in ETL/ELT, data warehousing, and big data technologies.

Key Responsibilities :

• Build and optimize data pipelines using AWS (Glue, EMR, Redshift, S3, etc.).
• Maintain data lakes & warehouses for analytics.
• Ensure data integrity through quality checks.
• Collaborate with data scientists & engineers to deliver solutions.

Qualifications :

• 7+ Years in Data Engineering.
• Expertise in AWS services, SQL, Python, Spark, Kafka.
• Experience with CI/CD, DevOps practices.
• Strong problem-solving skills.

Preferred Skills :

• Experience with Snowflake, Databricks.
• Knowledge of BI tools (Tableau, Power BI).
• Healthcare/Insurance domain experience is a plus.

Role: Data Scientist (Python + R Expertise)

Exp: 8 -12 Years

CTC: up to 30 LPA

Required Skills & Qualifications:

• 8–12 years of hands-on experience as a Data Scientist or in a similar analytical role.
• Strong expertise in Python and R for data analysis, modeling, and visualization.
• Proficiency in machine learning frameworks (scikit-learn, TensorFlow, PyTorch, caret, etc.).
• Strong understanding of statistical modeling, hypothesis testing, regression, and classification techniques.
• Experience with SQL and working with large-scale structured and unstructured data.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and deployment practices (Docker, MLflow).
• Excellent analytical, problem-solving, and communication skills.

Preferred Skills:

• Experience with NLP, time series forecasting, or deep learning projects.
• Exposure to data visualization tools (Tableau, Power BI, or R Shiny).
• Experience working in product or data-driven organizations.
• Knowledge of MLOps and model lifecycle management is a plus.

If interested kindly share your updated resume on 82008 31681

Job Title: Full Stack Developer

Location: Bengaluru, India

Experience: 5–8 Years

Employment Type: Full-time

Company Overview

iAI Solution Pvt Ltd (https://iaisolution.com/) operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insights across domains.

Position Summary

We are seeking an experienced Full Stack Developer (5–8 years) to design, build, and maintain scalable frontend and backend systems across multiple domains. You’ll work closely with product, DevOps, and other stakeholders to deliver mission-critical solutions that power our growth.

But beyond just technical chops, we want a go-getter who’s not afraid to jump in, figure things out, and make things happen. You’re scrappy, resourceful, and all about execution — solving problems with creativity, logic, and whatever tools you can get your hands on. You’ve got a solid work ethic, owning your projects end-to-end and stepping up when the heat is on. You’re a self-starter who doesn’t wait for all the answers — you research, learn, and just get it done. Feedback? You take it, grow from it, and come back stronger. Most importantly, you’re a team player with accountability — someone who backs up the crew, takes ownership.

Key Responsibilities

• Develop and maintain secure, scalable full stack applications using modern frameworks.
• Collaborate with frontend and backend teams to design APIs, services, and UI components.
• Write clean, efficient, and reusable code using React.js, Next.js, Node.js, Python (FastAPI).
• Implement CI/CD pipelines with GitHub Actions or Azure DevOps.
• Work with containerization (Docker) and orchestration (Kubernetes).
• Integrate applications with cloud platforms (Azure or AWS) and databases (PostgreSQL, MongoDB).
• Ensure application performance, responsiveness, and security across devices.
• Monitor and troubleshoot issues using observability tools (Prometheus, Grafana, ELK Stack).
• 
  

Qualifications

• 5–8 years of professional experience as a Full Stack Developer, delivering production-grade applications.
• Proficiency in JavaScript frameworks (React.js, Next.js) and backend technologies such as Python (FastAPI).
• Strong understanding of REST APIs, microservices architecture, and modern web application design.
• Hands-on experience with relational and non-relational databases (PostgreSQL, MongoDB).
• Exposure to containerization (Docker) and orchestration tools like Kubernetes.
• Experience working with cloud platforms, preferably Azure (AWS experience is also acceptable).
• Familiarity with Agile methodologies and version control systems (Git).
• Strong problem-solving, debugging, and communication skills.
• 
  

Must-Have Skills

• Frontend: Next.js ,React.js, 
• Backend: Python (FastAPI), Java, Node.js 
• Databases: PostgreSQL, MongoDB, Redis 
• DevOps/Cloud: Azure (preferred), AWS, Docker, Kubernetes, Terraform 
• CI/CD: GitHub Actions, Azure DevOps 
• Messaging: Kafka, RabbitMQ, Azure Service Bus(preferred)
• Monitoring: Prometheus, Grafana, ELK Stack

Good-to-Have Skills

• Experience with animation libraries (GSAP, Framer Motion)
• Exposure to SaaS platform development
• Knowledge of testing frameworks (Jest, Cypress, React Testing Library)
• Understanding of CI/CD pipelines and DevOps practices
• Exposure to AI/ML integrations or MLOps workflows
• 
  

Preferred Qualifications

• Hands-on experience with Kafka, RabbitMQ, or Azure Service Bus (preferred).
• Working knowledge of Terraform for infrastructure automation.
• Prior experience with real-time audio/video applications.
• 
  

Perks & Benefits

• Competitive salary with performance-based bonuses.
• Opportunity to work on cutting-edge real-time audio/video applications.
• Flexible working hours.
• Access to the latest development tools and technologies.

Job Description

Job Purpose 

We work in the latest technology, and our foundations are data structures, algorithms, strong logical reasoning, and mathematics. We are looking for very strong engineers who love coding, optimizing, and making sure their code is the most efficient possible.

You will be involved with hardcore development. If you are an assembler of code or packages from different places to build something, you may not find our team to be the right fit.

You must be someone who can build anything from the ground up. Programming language should not be any barrier for you, as you should be able to pick up any programming language or underlying technology within a week.

Key Areas of Responsibility

Core development. Ready to participate in designing, brainstorming, and development process. You must give sleepless nights to meet deadlines whenever required.

Desired Candidate Profile

Essential Skills 

• Reliable, Accountable and Trustworthy
• Ability to understand software requirements based on a wireframe/program specification
• Familiarity with GoLang / PHP / Python / Java / C / C++ / Linux Shell and Scripting / HTML / CSS / JS / Node.js is a plus
• Effective communication skills to ensure smooth coordination of tasks with Team Leader
• Knowledge of MongoDB, MySQL, and PL/SQL is a plus
• Familiarity with ML, TensorFlow, and Keras is a plus
• Knowledge of web servers such as Apache, NGNIX, and the HTTP protocol is plus
• Knowledge of multi-process, threads, memory, and filesystem on Linux is desirable

• Collaborate with the business teams to understand the data environment in the organization; develop and lead the Data Scientists team to test and scale new algorithms through pilots and subsequent scaling up of the solutions
• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service
• Act as the single point source for all data related queries; strong understanding of internal and external data sources; provide inputs in deciding data-schemas
• Design, develop and maintain the framework for the analytics solutions pipeline
• Provide inputs to the organization’s initiatives on data quality and help implement frameworks and tools for the various related initiatives
• Work in cross-functional teams of software/machine learning engineers, data scientists, product managers, and others to build the AI ecosystem
• Collaborate with the external organizations including vendors, where required, in respect of all data-related queries as well as implementation initiatives

Job Responsibilities:

• Apply your knowledge of ML and statistics to conceptualise, experiment, develop & deploy machine learning & deep learning systems.
• Understanding the business objectives & defining the right target metrics to track performance & progress.
• Defining & building datasets with the appropriate representation techniques for learning.
• Training & tuning models. Running evaluation & test experiments on the models.
• Build ML pipelines end to end. (Everything MLOps.)
• Building pipelines for the various stages.
• Deploying models.
• Troubleshooting issues with models in production.
• Reporting results of model performance in production.
• Retraining, performance logging & maintenance.
• Help the business with insights for better decision-making. You will build many predictive models for internal business operations
  you will derive insights from the trained models & data to help the product & business teams make better decisions.

Requirements:

• 2+ years of work experience as an ML engineer or Data Scientist with a Bachelors Degree in Computer science or related field
• Theoretical & practical knowledge of Machine Learning, Deep Learning and Statistical methods. (NLP Tasks, Recommender Systems, Predictive Modelling etc)
• Since Pepper is a content company, you will work on many interesting text based problems. Solid understanding of Natural Language Processing techniques with Deep Learning is a must for this role.
• Familiarity with the popular NLP applications and text representation architectures & techniques: text classification, machine translation, named entity recognition, summarisation, question answering, zero-shot learning etc.  Bag of Words, TF-IDF, Word2vec, GloVe, BERT, ELMo, GPT etc.
• Experience with ML frameworks (like Tensorflow, Keras, PyTorch) & libraries like Sklearn.
• Experience with ML infrastructure & shipping models.
• Excellent programming & algorithmic skills. Good understanding of Data Structures and algorithms (fluent in at least one object oriented programming language). Proficiency in Python is a must.
• Strong understanding of database systems & schema design. Proficient in SQL

Please let us know if you are interested in the above opening and if interested please let us know your

Current CTC :

Expected CTC :

Notice Period :

Relevant experience in  Machine Learning :

Relevant experience in Deep Learning:

Relevant experience in NLP Applications:

Regards

Ashwini