128 Numpy jobs in Bangalore

• Assist in data collection, cleaning, and transformation processes.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Support the development and implementation of data models and machine learning algorithms.
• Create data visualizations and reports to communicate findings.
• Learn and apply statistical and mathematical concepts to data analysis.
• Collaborate with senior data scientists on various projects.
• Assist in the maintenance and improvement of data pipelines.
• Contribute to documentation of data processes and methodologies.
• Participate in team meetings and learning sessions.
• Develop basic proficiency in data analysis tools and programming languages.

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• Strong interest and passion for data science and analytics.
• Basic understanding of statistics, mathematics, and programming concepts.
• Familiarity with Python or R is a plus.
• Analytical mindset and problem-solving abilities.
• Excellent communication and teamwork skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work effectively in a hybrid work environment.

You will be responsible for design and engineering aspects of the Machine Learning ecosystem developing life cycle frameworks and delivering state-of-the-art solutions for ML pipelining, deployment and integration with the back-end product. Ensure efficient architecture and low-level design of deep learning-based solutions and high-quality deliverables with focus on innovation, scientific research, experimentation and optimal design.

As a subject matter expert, you will be combining your professional experience and an intrinsic desire for problem solving.

• Development and implementation of ML models for product brand extraction based on product name, description and other attributes
• Development and implementation of ML-based product matching solutions
• Development of text-based product classification tools
• Analyze big amount of data from online retailers using statistical techniques to identify patterns
• Build ML, statistical and analytical models, forecasting models
• Create MLDL solution and infrastructure
• Responsible for statistical analysis and model research to develop an advanced analytical approach to generate the required insights
• Design and implement efficient, fault-tolerant Machine Learning flows for processing high-velocity, heterogeneous data, including optimization of Machine Learning workflows for building automated decision systems that provide future predictions
• Provide statistical analysis of large and complex datasets and ensure accuracy in analysis
• Develop innovative and effective approaches to solve analytics problems

You will fit right in if you have –

• 8 years of relevant experience in the domain
• Bachelor’s degree in Computer Science or equivalent
• 4+ years’ experience researching and developing ML models for big data analysis
• Experience of deep learning in NLP (LSTM, BERT, etc.)
• Proficiency with any deep learning framework, Tensorflow + Keras is preferred
• 3+ years’ experience and deep understanding of text processing techniques and best practices (classification, NER, text ranking)
• Python (Pandas, NumPy , scipy, scikit-learn)
• Textual data processing libraries (NLTK, GenSim)
• 2+ years’ experience of training and productionalization of deep learning models
• 3+ years’ experience of software development in Python
• Excellent knowledge of the data science problems, including large scale data and data pipeline management
• Excellent presentation skills, communication skills, verbal and written
• Expert in using data analytical and modeling tools
• Excellent knowledge in using visualization tools
• Strong interpersonal skills and a combination of analytical skills, intellectual curiosity, and accountability

Job Title: N8N Developer / Automation Engineer

Experience: 1–4 years (Immediate Joiners Preferred)

Location: (Your Location) / Remote

Job Summary:

We are looking for a skilled N8N Developer to design, develop, and maintain workflow automations and integrations across multiple systems. The ideal candidate should have strong experience with N8N , API integrations , and Node.js , and be able to create efficient automation solutions that improve operational efficiency.

Key Responsibilities:

• Design, develop, and deploy automated workflows using N8N .
• Integrate multiple systems and APIs (REST, GraphQL, etc.) to automate business processes.
• Build and maintain custom N8N nodes when required using Node.js and JavaScript .
• Monitor, troubleshoot, and optimize existing workflows for performance and reliability.
• Collaborate with cross-functional teams to identify automation opportunities.
• Implement error-handling, logging, and version control for workflows.
• Document workflows, processes, and integration logic for internal teams.

Required Skills & Experience:

• Hands-on experience with N8N workflow automation.
• Strong knowledge of Node.js , JavaScript , and RESTful APIs .
• Familiarity with webhooks , OAuth , and JSON data structures .
• Experience working with databases (MongoDB, MySQL, PostgreSQL, etc.).
• Understanding of cloud platforms (AWS, GCP, or similar) is a plus.
• Ability to debug and optimize API calls and workflow logic.
• Excellent problem-solving and analytical skills.

Preferred Skills (Good to Have):

• Experience with Zapier , Make (Integromat) , or other automation tools.
• Exposure to Docker and CI/CD pipelines .
• Basic understanding of DevOps and API security .
• Knowledge of Express.js or other backend frameworks.

Qualification:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

Please send me your resume on /

About the Role

We are looking for a hands-on leader with expertise in Generative AI and enterprise AI chat technologies who can serve as an L25 support layer bridging the gap between frontline support L2 and deep technical experts L3. This person will act as the first point of escalation for AI related technical questions, ensure quality in responses, and coordinate with global colleagues to resolve complex queries. This role is part technical support, part advisory, ensuring internal teams have the right AI tools, workflows, and knowledge to work effectively.

Responsibilities

• Serve as the primary point of contact for escalated technical queries related to Generative AI (GenAI), the internal enterprise AI chat solution, and AI assisted workflows.
• Provide direct technical assistance and guidance to users; escalate to and collaborate with L3 subject matter experts when necessary.
• Ensure accuracy, consistency, and quality in responses provided to internal teams.
• Document solutions, best practices, and repeatable workflows for common queries.
• Monitor and analyze support requests to identify training opportunities, system improvements, or process optimizations.
• Stay updated on emerging AI tools, prompt engineering techniques, and integration capabilities.

Required Skills

• Proven experience in Generative AI technologies, including enterprise AI chat solutions (e.g., Azure OpenAI, Anthropic Claude, Google Gemini, or custom internal AI chat platforms).
• Strong technical troubleshooting and problem-solving skills, especially in complex AI workflows.
• Excellent communication skills with the ability to explain technical concepts clearly to non-technical audiences.
• Experience acting in an L25 role or similar, owning escalations and bridging between support and engineering teams.
• Proactive, resourceful, and comfortable working across time zones.
• Strong documentation and knowledge management skills.

Preferred Skills

• Experience working in a technology support or AI advisory role.
• Familiarity with AI integration platforms (e.g., n8n, Zapier, Workato, or workflow automation tools).
• Exposure to prompt engineering best practices.

Work Location: Hyderabad

Work Hours: US Time Zone Active until 300 PM PST

Equal Opportunity Statement

We are committed to diversity and inclusivity.

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Research Manager – Machine Learning (RESEARCH SCIENCES)

About Data Sciences Group at Flipkart:

The Data Sciences team at Flipkart is on a mission to build systemic intelligence across Flipkart products and the overarching ecosystem. Being India’s largest online marketplace and the most used e-commerce app in India, places Flipkart in a unique vantage position and gives this team a distinctive opportunity — to decipher the richest possible data about Indian consumers. Add the dimension of a vast product selection and a proliferating seller base to that and what you get is a multitude of disruptive possibilities.

In a nutshell, the terabytes of daily data compounded in Flipkart’s data centers offer a dynamic mix of numerical, structured, unstructured, image- and audio-based statistics, all set to define shopping in the future.

What this job entails:

As a leader in the space of Data Science, you will lead a team of highly qualified professionals, within the context of a functional unit, with expertise in areas of Machine Learning & Artificial Intelligence. Your team will comprise of Data Scientists. Your primary responsibility will be to strategize and guide the application of data sciences, and leverage data capabilities to drive Flipkart’s Business Value Proposition. In simpler terms, you will help build intelligence across Flipkart products. In this role, you will:

• Closely work with the Data Science team to formulate data-led solutions and models
• Use advanced Machine Learning techniques to enable key business goals
• Be a strong proponent of the customer and the business, with the capability to drive efficiency and productivity, and enable automation across the spectrum
• Should have thorough understanding of key AI and ML techniques — If not all — spanning Predictive Modelling, NLP, Text Mining, Classification, Regression, Deep Learning, etc.

Key Roles & Responsibilities:

The Flipkart Data Science team applies capabilities across numerous business problem statements within the e-commerce ecosystem. The application extends across Customer Experience, Supply-Chain, Engineering, Cataloguing and other critical scenarios, with solutions designed around discovery, personalization, intent modelling, demand shaping and planning, insights, sentiment prediction, response matching, fulfilment automation, last-mile optimization, fraud modelling and search—all of which just form the tip of the iceberg. In this role, you will be responsible to:

• Help the Data Science team of the functional unit to formulate and architect future AI / ML models for Flipkart Products
• Guide teams through decisions around applying Data Science and Data Modelling techniques to drive innovation, efficiency productivity and automation within Flipkart’s ecosystem
• Ensure timely deployment of models in a high-pace business, large-scale production environment
• Coach the Data Science team on various challenges and trade-offs in developing models that can accurately employ real data
• Build deep partnerships with business, product management, and technology leaders
• Lead, hire, manage and mentor a team of highly qualified Data Scientist, Data Engineers, Software Engineers ML and Research Scientists
• Help develop systems-driven framework for tracking the quality, consistency, applicability and performance of data inputs and outcomes
• Build and leverage tools that allow for democratization and easy consumption and analysis of data across the organization.

Our Associations & Collaborations:

Associations and collaborations: The Flipkart Data Science team is also leveraging partnerships with Indian and foreign universities — like CMU, IIT's, IISc and IIIT’s — for developing class-leading solutions in the e-commerce sector.

At Flipkart, the work of a Data Scientist involves collaboration with the engineering and product teams to ensure a holistic outcome at the product delivery. The flat functional structure within Flipkart engineering enables data scientists to focus on excellence and create a deep sense of ownership at every stage of work.

Basic Qualification:

Education Qualification: B.Tech / M.Tech in CS/ML/AI Statistics with demonstrable experience through publications / deployed solutions / projects.

Should have formally managed small/large teams of DS, data Engineers with DS capabilities for at least 2-4 Yrs.

Strong technical skills in machine learning/AI, including optimization, simulation, regression techniques, neural networks, decision trees, cluster analysis, pattern recognition, probability theory, stochastic systems, Bayesian inference, and statistical techniques.

Job description

Designation - Instructor/ Teaching Assistant, Offline Learning Centers

Location - Coimbatore

What We Are Looking for - The Instructor/ Teaching Assistant role is unique in the sense that it provides an opportunity to learn new topics quickly, work on case studies, interact and build networks with top industry professionals and faculty members in the respective domains, and do work that directly impacts the lives and careers of our learners.

Role & responsibilities

• Develop world-class content in Data Science, Machine Learning, Deep Learning, Data Engineering and other similar domains.
• Understand the subject and deliver courses to help learners meet high standards through physical delivery.
• Work closely with Centre Manager Partner to get the positive outcome for the learners.

Skills Required

• Graduates/Post-Graduates with:
• Teaching/Training experience of 2+ years in Data science & machine learning roles
• Strong in Python Programming
• Machine Learning Concepts Linear Regression, Logistic Regression, Decision Trees, Random Forests, Bagging and Boosting, Linear and Nonlinear models, Recommendation systems, etc.
• NLP, NN
• Knowledge of SQL, Excel
• Advanced programming skills using Python and Tensorflow/Keras in the context of teaching and building ML/DL Models
• Knowhow in the development of ML models at scale and understanding of its application across sectors
• Smart, curious people who enjoy learning and upskilling in the latest fields of technology
• Ability to quickly learn various concepts, techniques & tools
• Comfort level in speaking in front of a camera

Interested candidates kindly share your resume on

Regards,

Anju Salunke

Smart Source

NLP Data Science Intern

Did you notice a shortage of food at supermarkets during covid? Have you heard about the recent issues in the global shipping industry? or perhaps you’ve heard about the shortages of microchips? These problems are called supply chain disruptions. They have been increasing in frequency and severity. Supply chain disruptions are threatening our very way of life.

Our vision is to advance society’s capacity to withstand shocks and stresses. Kavida.ai believes the only way to ensure security is through supply chain resiliency. We are on a mission to help companies proactively manage disruption supply chain disruption risks using integrated data.

Our Story

In March 2020 over 35 academics, data scientists, students, and software engineering volunteers came together to address the food shortage issues caused by the pandemic - Covid19foodsupply.com. A core team of 9 was formed and spun off into a startup and the rest is history.

Our investors include one of the world's largest supply chain quality & compliance monitoring companies, a £1.25bn apparel manufacturer, and some very impressive angel investors.

Social Impact:

Social impact is in our DNA. We believe private sector innovation is the only way to address social problems at scale. If we achieve our mission, humanity will always have access to its essential goods for sustenance. No more shortages of food, PPE, medicine, etc.

Our Culture :

Idea Meritocracy:

The best ideas win. We only care about what is right, not who is right. We know arriving at the best answer requires constructive tension. Sometimes it can get heated but it's never personal. Everyone contributes to better ideas knowing they will be heard but also challenged.

Drivers Not Passengers:

We think as owners who drive the bus, not as passengers. We are self-starters and never wait for instructions. We are hungry for autonomy, trust, and responsibility. Everyone is a leader because we know leadership is a trait, not a title. Leaders drive growth and navigate the chaos.

We Figure Out The Answers:

We trust our ability to figure stuff out. We do not need all the information to start answering the question. We can connect the dots and answer difficult questions with logic.

Customer & Mission Obsessed:

Our customers are our heroes and we are obsessed with helping them. We are obsessed with; understanding their supply chains better, resolving their biggest headaches, and advancing their competitiveness.

Learning and growth

We all take personal responsibility for becoming smarter, wiser, more skilled, happier. We are obsessed with learning about our industry and improving our own skills. We are obsessed with our personal growth; to become more.

Job Description:

As a member of our Research team, you will be responsible for researching, developing, and coding Agents using state-of-the-art LLM's with automated pipelines.

• Write code for the development of our ML engines and micro-services pipelines.
• use, optimize, train, and evaluate state-of-the-art GPT models.
• research and Develop Agentic pipelines using LLM's.
• research and develop RAG based pipeline using vector DB's .

Essential Requirements:

• prompt engineering and Agentic LLm frameworks like langchain/llama index
• good enough undersanding of vectors/tensors and RAG pipelines
• Knowledge of building NLP systems using transfer learning or building custom NLP systems from scratch using TensorFlow or PyTorch.
• In-depth knowledge of DSA, async, python, and containers.
• Knowledge of transformers and NLP techniques is essential, and deployment experience is a significant advantage.

Salary Range: ₹15000 - ₹25000

We are offering a full-time internship position to final-year students. The internship will last for an initial period of 6-12 months before converting to a full-time job, depending on suitability for both parties. If the applicant is a student who needs to return to university, they can continue with the program on a part-time basis.