2,266 Numpy jobs in India

Scope:

You will work closely with customers, product teams, and engineering to:

Our Technical Environment:

What you’ll do :

What We’re Looking For:

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Company Overview – WhatJobs Ltd

WhatJobs is a global job search engine and career platform operating in over 50 countries. We leverage advanced technology and AI-driven tools to connect millions of job seekers with opportunities, helping businesses and individuals achieve their goals.

Position: Data Science Trainee/Intern

Location: Commercial Street

Duration: 3 Months

Type: Internship/Traineeship (with potential for full-time opportunities)

Role Overview

We are looking for enthusiastic Data Science trainees/interns eager to explore the world of data analytics, machine learning, and business insights. You will work on real-world datasets, apply statistical and computational techniques, and contribute to data-driven decision-making at WhatJobs.

Key Responsibilities

• Collect, clean, and analyze datasets to derive meaningful insights.
• Assist in building and evaluating machine learning models.
• Work with visualization tools to present analytical results.
• Support the team in developing data pipelines and automation scripts.
• Research new tools, techniques, and best practices in data science.

Requirements

• Basic knowledge of Python and data science libraries (Pandas, NumPy, Matplotlib, Scikit-learn).
• Understanding of statistics, probability, and data analysis techniques.
• Familiarity with machine learning concepts.
• Knowledge of Google Data Studio and BigQuery for reporting and data management.
• Strong analytical skills and eagerness to learn.
• Good communication and teamwork abilities.

What We Offer

• Hands-on experience with real-world data science projects.
• Guidance and mentorship from experienced data professionals.
• Opportunity to work with a global technology platform.
• Certificate of completion and potential for full-time role.

Data Science + Gen AI with below mandatory skills.

Must to Have : Agent Framework, RAG Framework, Chunking Strategies, LLMs, AI on cloud

Services, Open Source Frameworks like Langchain, Llama Index, Vector Database, Token

Management, Knowledge Graph, Vision

Exp Range - 4 to 6 years

Major Duties & Responsibilities

•  Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business

questions

•  Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment

and operationalization of projects

•  Influence machine learning strategy for Digital programs and projects

•  Make solution recommendations that appropriately balance speed to market and analytical soundness

•  Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor

•  Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R,

TensorFlow)

•  Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.

•  Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations,

scenarios, and stories.

•  Create algorithms to extract information from large, multiparametric data sets.

•  Deploy algorithms to production to identify actionable insights from large databases.

•  Compare results from various methodologies and recommend optimal techniques.

•  Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations,

scenarios, and stories.

•  Develop and embed automated processes for predictive model validation, deployment, and implementation

•  Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science

•  Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate

reusability, and reliability upon deployment

•  Lead discussions at peer review and use interpersonal skills to positively influence decision making

•  Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make

impactful contributions to internal discussions on emerging practices

•  Facilitate cross-geography sharing of new ideas, learnings, and best-practices

Required Qualifications

•  Bachelor of Science or Bachelor of Engineering at a minimum.

•  4-6 years of work experience as a Data Scientist

•  A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to

quickly cycle hypothesis through the discovery phase of a project

•  Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL,

Hadoop/Hive, Scala)

•  Good hands-on skills in both feature engineering and hyperparameter optimization

•  Experience producing high-quality code, tests, documentation

•  Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML,

Synapse, Databricks

•  Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine

learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies

•  Proficiency in statistical concepts and ML algorithms

•  Good knowledge of Agile principles and process

•  Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team

•  Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and

results

•  Self-motivated and a proactive problem solver who can work independently and in teams

Work with one of the Big 4's in India

Key Responsibilities:

• Design, implement, and maintain data science pipelines from data ingestion to model deployment. Collaborate with data scientists to operationalize ML models and algorithms in production environments.
• Develop robust APIs and services for ML model inference and integration. Build and optimize large-scale data processing systems using Spark, Pandas, or similar tools. Ensure data quality and pipeline reliability through rigorous testing, validation, and monitoring.
• Work with cloud infrastructure (AWS) for scalable ML deployment. Manage model versioning, feature engineering workflows, and experiment tracking. Optimize performance of models and pipelines for latency, cost, and throughput.

Required Qualifications:

• Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of experience in a data science, ML engineering, or software engineering role.
• Proficiency in Python (preferred) and SQL; knowledge of Java, Scala, or C++ is a plus. Experience with data science libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Familiarity with ML deployment tools such as ML flow, Sage Maker, or Vertex AI. Solid understanding of data structures, algorithms, and software engineering best practices.
• Experience working with databases (SQL, NoSQL) and data lakes (e.g., Delta Lake, Big Query).

Preferred Qualifications:

• Experience with containerization and orchestration (Docker, Kubernetes). Experience working in Agile or cross-functional teams. Familiarity with streaming data platforms (Kafka, Spark Streaming, Flink).

Soft Skills:

• Strong communication skills to bridge technical and business teams. Excellent problem-solving and analytical thinking. Self-motivated and capable of working independently or within a team. Passion for data and a curiosity-driven mindset.

*Mandatory Competencies *

• Data Science and Machine Learning - Data Science and Machine Learning - AI/ML
• Beh - Communication
• Data Science and Machine Learning - Data Science and Machine Learning - Python
• Data Science and Machine Learning - Data Science and Machine Learning - Pytorch
• Programming Language - Python - Panda

Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at

Job Title: ML Engineer

Position: Lead Analyst

Experience: Years

Category: Software Development/ Engineering

Shift: General (5 Days work from Office)

Main location: India, Tamil Nadu, Chennai

Position ID: J

Employment Type: Full Time

Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 6 years of relevant experience.

Position Description: We are seeking a highly experienced and innovative Senior AI Engineer to join our rapidly expanding AI/ML team. With 7+ years of hands-on experience, you will be instrumental in the end-to-end lifecycle of AI/ML solutions – from research and prototyping to developing, deploying, and maintaining production-grade intelligent systems. You will work on challenging problems, collaborate closely with data scientists, product managers, and software engineers, and drive the adoption of cutting-edge AI technologies across our platforms.

Your future duties and responsibilities

• Model Development & Implementation: Design, develop, train, and optimize robust and scalable machine learning models (e.g., deep learning, classical ML algorithms) for various applications.
• Production Deployment (MLOps): Build and maintain end-to-end MLOps pipelines for model deployment, monitoring, versioning, and retraining, ensuring reliability and performance in production environments.
• Data Engineering for AI: Work with large, complex datasets, performing data cleaning, feature engineering, and data pipeline development to prepare data for model training and inference.
• Research & Prototyping: Explore and evaluate new AI/ML technologies, algorithms, and research papers to identify opportunities for innovation and competitive advantage. Rapidly prototype and test new ideas.
• Performance Optimization: Optimize AI/ML models and inference systems for speed, efficiency, and resource utilization.
• Collaboration & Communication: Partner closely with Data Scientists to transition research prototypes into production-ready solutions. Collaborate with Software Engineers to integrate AI models into existing products and platforms. Communicate complex AI concepts to both technical and non-technical stakeholders.
• Code Quality & Best Practices: Write clean, maintainable, and well-documented code. Advocate for and implement software engineering best practices within the AI/ML lifecycle.
• Monitoring & Maintenance: Implement robust monitoring for model performance, data drift, and system health in production, and troubleshoot issues as they arise.

Required qualifications to be successful in this role

Must-Have Skills:

• 7+ years of hands-on experience as an AI Engineer, Machine Learning Engineer, or a similar role focused on building and deploying AI/ML solutions.
• Strong proficiency in Python and its relevant ML/data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Extensive experience with at least one major deep learning framework such as TensorFlow, PyTorch, or Keras.
• Solid understanding of machine learning principles, algorithms (e.g., regression, classification, clustering, ensemble methods), and statistical modeling.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI).
• Proven experience with MLOps concepts and tools for model lifecycle management (e.g., MLflow, Kubeflow, Sagemaker MLOps, Azure ML Pipelines).
• Strong SQL skills for data manipulation, analysis, and feature extraction from relational databases.
• Experience with data preprocessing, feature engineering, and handling large datasets.

Good-to-Have Skills:

• Familiarity with software development best practices including version control (Git), code reviews, and CI/CD.

CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.

Together, as owners, let's turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.

Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our team—one of the largest IT and business consulting services firms in the world.

Be a part of India's largest and most admired news network

Network18 is India's most diversified Media Company in the fast growing Media market. The Company has a strong Heritage and we possess a strong presence in Magazines, Television and Internet domains. Our brands like CNBC, Forbes and Moneycontrol are market leaders in their respective segments. The Company has over 7,000 employees across all major cities in India and has been consistently managed to stay ahead of the growth curve of the industry.

Network 18 brings together employees from varied backgrounds under one roof united by the hunger to create immersive content and ideas. We take pride in our people, who we believe are the key to realizing the organization's potential. We continually strive to enable our employees to realize their own goals, by providing opportunities to learn, share and grow.

Role Overview:

We are seeking a passionate and skilled Data Scientist with over a year of experience to join our dynamic team. You will be instrumental in developing and deploying machine learning models, building robust data pipelines, and translating complex data into actionable insights. This role offers the opportunity to work on cutting-edge projects involving NLP, Generative AI, data automation, and cloud technologies to drive business value.

Key Responsibilities:

• Design, develop, and deploy machine learning models, with a strong focus on NLP (including advanced techniques and Generative AI) and other AI applications.
• Build, maintain, and optimize ETL pipelines for automated data ingestion, transformation, and standardization from various sources
• Work extensively with SQL for data extraction, manipulation, and analysis in environments like BigQuery.
• Develop solutions using Python and relevant data science/ML libraries (Pandas, NumPy, Hugging Face Transformers, etc.).
• Utilize Google Cloud Platform (GCP) services for data storage, processing, and model deployment.
• Create and maintain interactive dashboards and reporting tools (e.g., Power BI) to present insights to stakeholders.
• Apply basic Docker concepts for containerization and deployment of applications.
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Stay abreast of the latest advancements in AI/ML and NLP best practices.

Required Qualifications & Skills:

• 1 to 4 years of hands-on experience as a Data Scientist or in a similar role.
• Solid understanding of machine learning fundamentals, algorithms, and best practices.
• Proficiency in Python and relevant data science libraries.
• Good SQL skills for complex querying and data manipulation.
• Demonstrable experience with Natural Language Processing (NLP) techniques, including advanced models (e.g., transformers) and familiarity with Generative AI concepts and applications.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

Preferred Qualifications & Skills:

• Familiarity and hands-on experience with Google Cloud Platform (GCP) services, especially BigQuery, Cloud Functions, and Vertex AI.
• Basic understanding of Docker and containerization for deploying applications.
• Experience with dashboarding tools like Power BI and building web applications with Streamlit.
• Experience with web scraping tools and techniques (e.g., BeautifulSoup, Scrapy, Selenium).
• Knowledge of data warehousing concepts and schema design.
• Experience in designing and building ETL pipelines.

Disclaimer: Please note Network18 and related group companies do not use the services of vendors or agents for recruitment. Please beware of such agents or vendors providing assistance. Network18 will not be responsible for any losses incurred.

"We correspond only from our official email address"

Job description:

Silicon Interfaces is looking for Mumbai-based Data Science Engineers Years) for its Artificial Intelligence and Machine Learning group in the Software Department.

Experienced as Team Members and Years) Experienced as Team Leads.

Outstation candidates without accommodation in Mumbai need not apply.

The ideal candidate will be responsible for developing high-quality Small Language Models (SML), Large Language Models (LLM), Shared Memory API, Vertex DB for specific domains in Semiconductors. You will be required to work on Agents, Agenitfied AI Agents, as well as Roving Agents using standardized open models for deployment on industry and educational websites. They will also be responsible for designing and implementing testable and scalable code.

Roles and Responsibilities

• Develop quality software and models
• Analyze and maintain existing models
• Design highly scalable, testable code
• Discover and fix programming bugs
• Desired Candidate Profile

Bachelor's degree or equivalent experience in AI, AI/ML, Computer Science/Computer Engineering, or related field

• Development experience with programming languages
• SQL database or relational database skills

Skills Required: We are looking for intelligent, talented, hard-working Data Scientists who are willing to work in different technologies, and languages C#, Java, Python, and PHP.

Software Fundamentals

· Data Structure:

· Software Design Methodologies (Waterfall/Agile):

Languages

· C#:-

· Python:-

AI/ML

· Data Analysis

· Colab

· TensorFlow

· Keras

· Hyperparameters

· Activation Functions

· Optimizers

· SML/LLM Models

· Agents

· Agentified AI

You don't have to know all of them, but at least two of the skills, and the ability and interest to adapt and learn. It may seem to be a lot of stuff to know, but the good news you don't need to implement them at the same time.

Silicon Interfaces' services global footprint. Software Services centers in North America, Europe, and Asia Pacific by VPN-based logins, in-person Customer site deployment (North America, Europe, and Asia Pacific (including India) and also Offshore projects from our state-of-the-art Software Development Centers based out of Mumbai.

We are a small specialized IT Services company catering to online services as well as Customer Projects from USA. (Please check , and also , and ).

The Job is based in Mumbai, India, and the company is currently doing (Work from Office) WfO

If you like to apply, please send an email as an application with your Resume to

The Email should have Subject as Data Science - AI ML Engineer positions at Silicon Interfaces

The Body of the mail should explain in brief your skills and experience.

Job Types: Full-time, Permanent, Fresher

Pay: ₹200, ₹300,000.00 per year

Benefits:

• Health insurance
• Paid sick time
• Paid time off
• Provident Fund

Work Location: In person

JD – Sr. Data Scientist - Media Analytics

Experience:
 7–8 years

Location:
 Bangalore (Onsite)

Candidates who can join within 15 days may only apply

Job Summary

We are looking for a Senior Data Scientist to Support Media Use Cases with strong expertise in 
Media Analytics
 and a proven track record in driving marketing measurement and optimisation. The role will be responsible for delivering actionable insights, evaluating marketing effectiveness, and driving data-backed recommendations to optimise media investments.

Required Skills & Experience

• 7–8 years of experience in Data Science/Analytics with a strong focus on 
  media measurement
  , 
  marketing effectiveness
  , and performance optimization.
• A minimum of a bachelor's degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Economics, or other related fields with emphasis on quantitative methods and solutions. An advanced degree in a similar field is preferred.
• Experience in developing and implementing advanced analytics models such as Customer Lifetime Value, NLP, Look-Alike models, and Anomaly Detection.
• Familiarity with large language models (LLMs) and generative AI is highly desirable.
• Ability to write (and refactor) robust code in Python, Spark, SQL, employing best practice coding standards and documentation.
• Proven experience with Databricks platform, Snowflake, and Azure cloud services.
• Experience in MLOps techniques, including CI/CD pipelines, automated testing, and model monitoring.
• Experience with BI tools such as Power BI, DOMO and Tableau.
• Strong understanding of machine learning algorithms, data structures, and software design principles.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Strong communication and interpersonal skills with the ability to collaborate and partner across diverse global multi-functional teams(GT1)
   
  (GT2)
   
  .

Desired Qualifications:

• Experience with classification models, time series forecasting, customer lifetime value model, large language models (LLMs) and generative AI.
• Preferably from the Retail, eCommerce or CPG industry

Key Responsibilities

• Develop and implement advanced analytics models for customer lifetime value, anomaly detection, and media mix modeling.
• Solve complex media optimisation problems and conduct A/B testing to evaluate proposed solutions.
• Partner with domain leads and business stakeholders to clearly understand business requirements; design and develop analytical and AI solutions to Drive recommendations that are clearly linked to the organization's strategy and OKRs and drive performance improvement.
• Support the domain leads and business teams to solve complex analytical challenges.
• Work closely with cross-functional teams of business partners, data scientists, data engineers, solutions, and data architects to quickly deliver scalable Artificial Intelligence (AI) solutions including DL, ML, NLP, optimization etc.
• Development, deployment, and maintenance of scalable AI solutions including the optimization of data queries, code refactoring, shared library usage and documentation of process and solution artifacts.
• Research and promote latest technologies, design patterns and best practice delivery models that drive optimal business value and ensure continuous improvement of team, processes, and platforms.
• Drive recommendations that are clearly linked to the organization's strategy and OKRs and drive performance improvement.
• Employ innovative thinking and always seeking the best ways of working for our teams and business partners.

(GT1)

(GT2)

Company Description

FACE Prep is one of India's largest placement-focused skill development companies, specializing in job preparation for the tech sector. Since its inception in 2008, FACE Prep has helped millions of students kickstart their careers. The company offers a variety of programs, including masterclasses, self-paced courses, and workshops to help students acquire the skills needed for top-paying jobs in tech. FACE Prep's alumni work at leading tech companies like Google, Microsoft, Meta, Adobe, PayPal, and many more.

Role Description

This is a full-time, on-site role for an AI & ML Mentor (Faculty) located in Bengaluru. The AI & ML Mentor will be responsible for delivering quality education through workshops, bootcamps, and mentoring sessions. Day-to-day tasks include preparing instructional materials, guiding students through complex AI and ML concepts, and providing individual mentorship. The role involves staying updated with the latest advancements in AI and ML to ensure the curriculum remains current and effective.

Qualifications

• In-depth knowledge and expertise in Artificial Intelligence (AI) and Machine Learning (ML)
• Experience in developing and delivering instructional content, including workshops and bootcamps
• Proficiency in Python and related libraries such as TensorFlow, PyTorch, and scikit-learn
• Excellent communication and presentation skills
• Ability to mentor and guide students at different stages of learning
• Experience in the education sector or similar role is a plus
• Bachelor's or Master's degree in Computer Science, Data Science, or related field