725 Data Scientist jobs in Delhi
Data Scientist

Posted 8 days ago
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Job Description
We are seeking a highly skilled Data Scientist with 6 to 12 years of experience to join our team. The ideal candidate will have expertise in Statistics Azure Open AI Service EDA Airflow Knowledge Graph ML Ops Machine Learning Cloud AutoML Dialogflow OpenCV Artificial Intelligence Natural Language Processing Deep Learning PyTorch AI enabled chatbot Tensorflow R Statistical Package Python and Search Engine Optimization.
**Responsibilities**
+ Lead the development and implementation of machine learning models to solve complex business problems
+ Oversee the application of statistical techniques to analyze large datasets and extract meaningful insights
+ Provide expertise in Azure Open AI Service to enhance AI capabilities within the organization
+ Conduct exploratory data analysis (EDA) to identify trends patterns and anomalies in data
+ Utilize Airflow to manage and automate data workflows and pipelines
+ Implement knowledge graphs to improve data relationships and insights
+ Apply ML Ops practices to streamline the deployment and monitoring of machine learning models
+ Develop and optimize machine learning algorithms using Cloud AutoML and other tools
+ Integrate Dialogflow to create and manage AI-enabled chatbots for customer interaction
+ Utilize OpenCV for computer vision tasks and image processing
+ Apply artificial intelligence and natural language processing techniques to enhance data analysis
+ Implement deep learning models using PyTorch and Tensorflow for advanced data analysis
+ Use R Statistical Package and Python for data manipulation analysis and visualization
+ Optimize search engine performance through effective SEO strategies
+ Collaborate with cross-functional teams to ensure alignment of data science projects with business objectives
+ Communicate findings and recommendations to stakeholders in a clear and concise manner
+ Stay updated with the latest advancements in data science and machine learning technologies
**Qualifications**
+ Must have strong experience in Statistics and Azure Open AI Service
+ Must be proficient in EDA Airflow and Knowledge Graph
+ Must have expertise in ML Ops Machine Learning and Cloud AutoML
+ Must be skilled in Dialogflow OpenCV and Artificial Intelligence
+ Must have experience in Natural Language Processing and Deep Learning
+ Must be proficient in PyTorch AI enabled chatbot and Tensorflow
+ Must have strong knowledge of R Statistical Package and Python
+ Must have experience in Search Engine Optimization
+ Nice to have experience in other data science and machine learning tools and technologies
+ Must have excellent communication and collaboration skills
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Data Scientist
Posted today
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*Need Financial Domain Exp
Position: Data Scientist
Location: Noida
Work Mode: Onsite Setup
As an Applied/ Data scientist, you will contribute to the design, development, and improvement of AI/ML models and systems. You will be expected to:
- Work with applied scientists, data scientist, software engineers and product partners to design and deliver AI/ML solutions in production at scale.
- Design and develop AI/ML models, workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML models and systems.
- Deliver customer-facing and/or underlying AI/ML solutions that empower our platform to provide the best experience for our customers.
Data Scientist
Posted 1 day ago
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Job Description
Position:
Senior Data Scientist
Job Description
Key Responsibilities:
- Design, develop, and deploy speech-to-text and text-to-speech models for various applications.
- Work with large language models (LLMs) and implement them in real-world projects.
- Analyze and interpret contact center calling data to generate meaningful business insights.
- Apply advanced statistical and machine learning techniques to solve complex business problems.
- Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
- Develop and maintain scalable data pipelines and workflows.
- Ensure data quality and integrity by implementing best practices in data management.
- Communicate findings and recommendations to stakeholders through detailed reports and presentations.
- Mentor and provide guidance to junior data scientists and data analysts.
Required Skills and Qualifications:
- Extensive experience with speech-to-text and text-to-speech technologies.
- Proficiency in working with large language models (LLMs) and deploying them in production environments.
- Strong analytical skills with the ability to derive business insights from large datasets, particularly contact center calling data.
- Expertise in statistical analysis, machine learning, and data mining techniques.
- Proficiency in programming languages such as Python and SQL.
- Experience with data visualization tools (e.g., Tableau, Power BI) to present insights effectively.
- Strong understanding of data engineering concepts and experience with data pipeline tools (e.g., Apache Kafka, Apache Spark).
- Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.
Educational Background:
- Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field. A Master’s or Ph.D. degree is a plus.
Preferred Qualifications:
- Experience with cloud platforms (e.g., Azure, AWS, Google Cloud) for deploying data science models.
- Familiarity with natural language processing (NLP) techniques and tools.
Data Scientist
Posted 4 days ago
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Job Description
Shift Timings: UK Shift
Location: Noida office (Hybrid)
In this role, we are seeking a data engineer to design, implement, and optimize cloud-based data
pipelines using Microsoft Azure services including ADF, Synapse, and ADLS.
Responsibilities
● Collaborate with our business analytics and data science teams, gathering requirements and
delivering complete business intelligence solutions
● Mentor junior software developers and build a strong team
● Model data and metadata to support discovery, ad-hoc, and pre-built reporting
● Design and implement data pipelines using Hadoop, Spark, and Azure services such as Blob
Storage, SQL Database, Event Hubs, Data Factory, Synapse Analytics, and Databricks
● Should be able to write Programs & Scripting, Strong in SQL, Proficiency in Python or Scala.
Experience with PowerShell or Azure CLI for automation is a plus
● Partner with security, privacy, and legal teams to deliver solutions that comply with security and
privacy policies
● Own the design, development, and maintenance of datasets our business analytics teams will
use to drive key business decisions
● Develop and promote standard methodologies in data engineering, including scalability,
reusability, maintainability, and usability
● Tune and ensure compute performance by optimizing queries, databases, files, tables, and
processes
● Ensure data and report service level agreements are met
● Analyze and solve problems at their root, stepping back to understand the broader context
● Own continuous engineering operational excellence of the datasets that drive key business
decisions
● Learn and understand a broad range of data resources and know when, how, and which to use
and which not to use
● Keep up to date with advances in big data technologies and run pilots to design the data
architecture to scale with increased data volume using Azure
● Continually improve ongoing reporting and analysis processes, automating or simplifying
self-service support for datasets
● Triage many possible courses of action in a high-ambiguity environment, making use of both
quantitative analysis and business judgment
Qualifications we seek in you!
Minimum Qualifications / Skills
● Bachelor’s degree in computer science or related technical field
● 10+ years of experience in data architecture and business intelligence
● 5+ years of experience in developing solutions in distributed technologies such as Hadoop, Spark
● Experience in delivering end-to-end solutions using Azure services – Blob Storage, SQL Database,
Event Hubs, Data Factory, Synapse Analytics, and HDInsight
● Experience in programming using Python, Java, or Scala
● Expert in data modeling, metadata management, and data quality
● SQL performance tuning
● Strong interpersonal and multitasking skills with the ability to balance competing priorities
● Excellent communication (verbal and written) and interpersonal skills and an ability to effectively
communicate with both business and technical teams
● An ability to work in a fast-paced ambiguous environment where continuous innovation is
occurring
● Experience with a business intelligence reporting tool
Preferred Qualifications/ Skills
● Experience with Databricks for advanced analytics and data processing
● Understanding of well-architected data pipeline designs
● Expertise in monitoring and fault-tolerant pipeline designs
● Knowledge of cluster configuration for optimal performance
● Ability to create cost-optimal solutions
● Experience in exploratory data analysis (dashboarding, plotting) using machine learning
technologies and algorithms is desirable
● Good knowledge of standard machine learning techniques (like regression, classification,
anomaly detection, forecasting) by using standard machine learning libraries part of Spark,
Python is desirable
● Prior experience in gen AI and related tools and techniques (such as large language models,
prompt engineering) is desirable
● Having a relevant Azure certification (architecture/data/machine learning) is desirable
Data Scientist
Posted 6 days ago
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Job Description
JD- DATA SCIENTIST
Work experience - For Juniors- 0-2 years, For Associates- 2-4 years
Qualification - Master’s/Bachelor’s in Computer science/Data science/Mathematics/Statistics
or related disciplines.
Job Brief:
In this role, you should be highly analytical with a knack for analysis, math and statistics.
Critical thinking and problem solving skills are essential for interpreting data. We also want
to see a passion for machine learning and research.
Must have Skills:
● Prior experience in working with Flask based APIs for backend development
● Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software
architecture
● Outstanding communication and organizational skills
● Strong project management skills
● High proficiency in using Python/Spark, Hadoop platforms,Tableau, SQL, NoSQL, SAS or R
● Experience in using services like Azure, Databricks, AWS, Snowflake
● Proficient with Numpy, Pandas, Matplotlib, Scipy, Web Scraping, Data Structures, Sklearn, NLP, Deep
Learning
● Strong mathematical and statistical skills
● Experience deploying scalable ML solutions on AWS or Azure.
● Knowledge of Pytorch/Tensorflow,Kubernetes, Docker.
● Experience with the LLM stack (Langchain, Langsmith, Uptrain, Llamaindex,
haystack) and vector databases (FAISS,Pinecone, opensearch)
● NLP and Image analysis solutions into production.
Good to have skills:
● Selecting features, building and optimizing classifiers using machine learning techniques
● Data mining using state-of-the-art methods
● Extending company’s data with third party sources of information when needed
● Enhancing data collection procedures to include information that is relevant for building analytic
systems
● Procession, cleansing, and verifying the integrity of data used for analysis
● Work on time bound projects
Data Scientist
Posted 6 days ago
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Job Description
Job title – Applied Scientist / Data Scientist
Who are we?
We are an Artificial Intelligence company bringing the speed and insight of Applied AI to
visual assessment. Trained on millions of data points, our AI-powered solutions connect
everyone involved in insurance, repairs, and sales of homes and cars – helping people work
faster and smarter, while reducing friction and waste.
Founded in 2014, We are now the AI tool of choice for world-leading insurance and
automotive companies. Our solutions unlock the potential of Applied AI to transform the
whole recovery ecosystem, from assessing damage and accelerating claims and repairs to
recycling parts. They help make response to recovery up to ten times faster – even after
full-scale disasters like floods and hurricanes.
it has a world-class culture, backed up by our team, making us a global employer of
choice!
We're a diverse team, uniting individuals of over 40 different nationalities and from varied
backgrounds, with machine learning researchers and motor engineers collaborating together
on a daily basis. We empower each team member to have tangible impact and grow their
own scope by intentionally building a culture centred around collaboration, transparency,
autonomy and continuous learning.
Our team shapes the technical foundations used across all products, currently
focused on auto insurance and natural disaster recovery. Our mission is to leverage the
latest ML research to solve hard science problems necessary to transform the insurance
industry (& more). We focus on creating mission-critical AI systems solving some of the
trickiest problems in computer vision, and our innovation has already improved the lives of
100,000s of people so far (really). We’re a fun and ambitious team, and looking for someone
to join us on our exciting journey!
Auto organization – Who we are & What we do
Our organization is responsible for building products for the automotive industry. We have
already built 2 products (Estimating, Review) sold globally to insurers.
Our long-term vision is to build a platform ecosystem that we can leverage to effortlessly
build new products and use cases. Our current mission is to create a reliable and safe
“virtual” motor appraiser/expert as a service, we can leverage to solve many use cases
across the automotive industry. We are doing so, by building high-quality input capture
mechanisms for our users, creating a state-of-the-art damage assessment stack for auto
damage, or delivering explainable and human-centric decision-making engines.
We are working hand-in-hand with engineering teams to turn our R&D prototypes into
mission-critical systems.
What will you be doing?
As an Applied scientist, you will contribute to the design, development, and improvement of
AI/ML models and systems. You will be expected to:
- Work with applied scientists, data scientist, software engineers and product partners to
design and deliver AI/ML solutions in production at scale.
- Design and develop AI/ML models, workflows and end-to-end pipelines for data
preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and
design of our ML models and systems.
- Deliver customer-facing and/or underlying AI/ML solutions that empower our platform to
provide the best experience for our customers.
What we’re looking for.
BASIC QUALIFICATIONS
- Master's in Computer Science, Machine Learning, or related quantitative field. A PhD in
Computer Science or related fields with a focus on Machine Learning is a strong plus.
- Extensive knowledge and practical experience in several of the following areas: machine
vision (classical methods and deep learning) and information retrieval. Natural language
processing is a plus.
- Demonstrated experience in building scalable AI/ML models and systems and delivering
end-to-end solutions in a production environment.
- Experience programming in Python, C++, or related languages
PREFERRED QUALIFICATIONS
- Publications at top-tier peer-reviewed conferences or journals or a proven track record of
industry innovation in creating novel solutions and advancing the state of the art.
- Experience with machine learning libraries and deep learning frameworks (TensorFlow,
PyTorch, etc.)
- Experience with end-to-end software development and life cycle of machine learning
solutions.
- Excellent verbal and written communication skills, with the ability to communicate complex
technical concepts and solutions to all levels of the organization
Data Scientist
Posted 6 days ago
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Job Description
Company Description
VOSMOS is a part of Kestone Integrated Marketing Services and promoted by CL Educate, the parent company of Career Launcher. We aim to build virtual worlds that are simplified, connected, and immersive. These worlds will be self-sufficient, unified, and constantly evolving to suit the mindset of the occupants of the Virtual Cosmos. VOSMOS has 3 distinct products under the brand – Metaverse, Virtual Events, and Customized technology solutions. From education to business to art, VOSMOS is making it easy for everyone to remain connected in the virtual world.
Role Description
As a Senior Data Scientist – AI & Gen AI, you will be a hands-on builder responsible for designing, developing, and deploying intelligent solutions across the marketing and customer experience stack. From writing production-ready ML code and training models to prompt engineering and fine-tuning LLMs, this role is for someone who enjoys working end-to-end — not just leading, but doing. You’ll work closely with our product, marketing, and engineering teams to embed intelligence across everything we do — from personalization engines to Gen AI content workflows.
What You’ll Do
- Build, train, and deploy machine learning and deep learning models for use cases like personalization, recommendation, segmentation, and content generation
- Fine-tune pre-trained LLMs (e.g., GPT, LLaMA, Claude) and build RAG-based systems
Design intelligent workflows using LangChain, vector databases, and prompt engineering
Write clean, scalable code in Python using ML/AI libraries like PyTorch, scikit-learn, Hugging Face, etc.
Work with APIs from OpenAI, Anthropic, Cohere, or open-source equivalents
Build prototypes quickly and iterate based on results and feedback
Work with structured and unstructured data (text, behavioral, campaign, content, customer data) Clean, preprocess, and build data pipelines that are ML-ready
Implement feedback loops and performance tracking mechanisms
Translate marketing and business requirements into actionable ML use cases
Work with product and design teams to bring AI-first features to life
Stay updated with the latest advancements in Gen AI, LLMs, and model optimization
What We’re Looking For
0+ years in technology, with at least 5+ years in data science / AI roles
Degree in Computer Science, Data Science, or related field (preferably from a premier tech institution – IITs, IISc, BITS, etc.)
eep hands-on experience in:
- Machine Learning (classification, regression, clustering, etc.)
- Deep Learning (CNNs, RNNs, Transformers)
- Gen AI (LLMs, prompt engineering, LangChain, RAG pipelines)
- Python, PyTorch/TensorFlow, scikit-learn, Hugging Face
- API integration, OpenAI, Anthropic, or similar platforms
- Cloud platforms (AWS/GCP/Azure) and basic DevOps for deployment
Strong problem-solving and debugging skills
Comfortable working in an agile, evolving startup-like environment
Nice to Have
Experience with marketing data, campaign optimization, content analytics
Exposure to MLOps, vector databases (e.g., Pinecone, FAISS), or streaming data
Understanding of personalization algorithms, recommender systems, or chat-based AI agents
What You Get
An opportunity to build AI solutions from scratch and own the outcomes
Work on real-world problems with real business impact
A collaborative team of technologists, marketers, and creatives
Freedom to experiment with the latest tools and models
Competitive compensation with performance-linked incentives
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Data Scientist
Posted 6 days ago
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TCS is Hiring Data Scientist For PAN India location
Experience : 10 - 16 years
Mode of interview : Virtual
Location : PAN India
JOB DESCRIPTION:
Must have:
- Excellent knowledge AI/ML including algorithm development
- Machine Learning Modelling, Data Analysis & Pre-processing, Synthetic Data Generation
- Python, Statistical Analysis, Domain Expertise
- Develops and refines analytical methods using traditional machine learning to extract insights and build predictive models. Trains and validates ML models to solve business problems, requiring a strong foundation in statistical analysis and data manipulation. Focuses on established ML techniques and model validation for reliable results.
Data Scientist
Posted today
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Job Description
Jubilant Bhartia Group
Jubilant Bhartia Group is a global conglomerate founded by Mr. Shyam S Bhartia and Mr. Hari S Bhartia with strong presence in diverse sectors like Pharmaceuticals, Contract Research and Development Services, Proprietary Novel Drugs, Life Science Ingredients, Agri Products, Performance Polymers, Food Service (QSR), Food, Auto, Consulting in Aerospace and Oilfield Services. Jubilant Bhartia Group has four flagships Companies- Jubilant Pharmova Limited, Jubilant Ingrevia Limited, Jubilant FoodWorks Limited and Jubilant Industries Limited. Currently the group has a global workforce of around 43,000 employees.
Jubilant Pharmova Limited
Jubilant Pharmova Limited (formerly Jubilant Life Sciences Limited) is a company with global presence that is involved in Radiopharma, Allergy Immunotherapy, CDMO Sterile Injectables, Contract Research Development and Manufacturing Organisation (CRDMO), Generics and Proprietary Novel Drugs businesses.
In the Radiopharma business, the Company is involved in manufacturing and supply of Radiopharmaceuticals with a network of 46 radio-pharmacies in the US. The Company's Allergy Immunotherapy business is involved in the manufacturing and supply of allergic extracts and venom products in the US and in some other markets such as Canada, Europe and Australia. Jubilant through its CDMO Sterile Injectables business offers manufacturing services including sterile fill and finish injectables (both liquid and lyophilization), full-service ophthalmic offer (liquids, ointments & creams) and ampoules.
The CRDMO business of the Company includes the Drug Discovery Services business that provides contract research and development services through two world-class research centres in Bangalore and Noida in India and the CDMO-API business that is involved in the manufacturing of Active Pharmaceutical Ingredients. Jubilant Therapeutics is involved in Proprietary Novel Drugs business and is an innovative biopharmaceutical company developing breakthrough therapies in the area of oncology and autoimmune disorders. The company operates six manufacturing facilities that cater to all the regulated market including USA, Europe and other geographies.
The Position
Organization-
Jubilant Pharmova Limited
Designation -
Data Scientist
Location-
Noida
Job Summary:
The role plays a Plays a crucial role in helping businesses make informed decisions by leveraging data & Advanced AI Solutions & will collaborate with stakeholders, design data models, create algorithms, and share
meaningful insights to drive business success
Key Responsibilities- Data & Analytics
- Work with supply chain, manufacturing manager, warehouse managers, customer account managers and quality function to produce manufacturing schedules, solutions to improve existing processes
- Gathering and interpreting data from various sources.
- Cleaning and verifying the accuracy of data sets to ensure data integrity.
- Build and maintain data pipelines for collecting, preprocessing, and integrating diverse data sources for comprehensive analysis and actionable insights.
- Developing and implementing data collection systems and strategies to optimize efficiency and accuracy.
- Applying statistical techniques to analyse and interpret complex data sets.
- Develop and implement statistical models for predictive analysis.
- Build and deploy machine learning models to solve business problems.
- Creating visual representations of data through charts, graphs, and dashboards to communicate findings effectively.
- Develop dashboards and reports for ongoing monitoring and analysis.
- Create, modify and improve complex manufacturing schedule.
- Create scenario planning model for manufacturing.
- Develop manufacturing schedule adherence probability model.
- Regularly monitoring and evaluating data quality, making recommendations for improvements as necessary.
- Staying up-to-date with industry trends and best practices in data analysis and reporting.
- Ensuring compliance with data privacy and security regulations.
Key Responsibilities- AI
End-to-End AI Solution Development
- Data Engineering: Independently develop data pipelines, perform data extraction, transformation,
and loading (ETL) for AI model consumption.
- Model Integration : Integrate foundational models and retrieval-augmented generation (RAG)
techniques
- Backend Development: Implement backend services and API endpoints to support AI solutions.
- Frontend Integration : Develop or adapt frontend interfaces for user interaction.
Innovation & Self-Development
- Continuous Learning: Stay current on foundational AI models, RAG techniques
- Ownership & Autonomy : Take full ownership of assigned use cases, handling all aspects of
development, testing, and deployment with minimal supervision
Person Profile.
Qualification-
B. Tech- CSE,ECE.
Experience
-
3-5 years of relevant experience in preferably Pharma/Chemical/Manufacturing Industry.
Technical Skills - Preferred
- P rogramming : Proficiency in Python for data handling and AI-related scripting.
- Data Engineering: Familiarity with data pipeline development, ETL processes, and data preprocessing techniques.
- Testing and QA : Knowledge of testing frameworks and tools to ensure model robustness, as well as
experience with automated testing for QA processes.
Other Skills- Preferred
- Experience with RAG : Familiarity with Retrieval-Augmented Generation techniques and their
applications.
- Prompt Engineering : Knowledge of prompt engineering techniques to optimize generative AI
models for specific tasks and enhance output relevance.
- Predictive Modelling : Experience in predictive modeling areas, such as traditional supervised and unsupervised learning,
- Advanced AI Concepts : Basic familiarity with foundational generative AI models and Natural Language Processing (NLP).
- Experience with big data technologies (e.g., Hadoop, Spark).
- Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud).
- Strong analytical and problem-solving skills with the ability to handle complex data sets.
- Excellent attention to detail and a high level of accuracy in data analysis.
- Solid knowledge of data visualization techniques and experience using visualization tools like Tableau or Power BI.
- Strong communication skills to present findings and insights to non-technical stakeholders effectively
- Ability to work collaboratively in a team environment and adapt to changing priorities.
Jubilant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, colour, gender identity or expression, genetic information, marital status, medical condition, national origin, political affiliation, race, ethnicity, religion or any other characteristic protected by applicable local laws, regulations and ordinances.
Data Scientist
Posted today
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Job Description
We are seeking a highly motivated and enthusiastic Data Scientist with over 2-5 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation.
Key Responsibilities:
- Develop and implement machine learning models and algorithms.
- Work closely with project stakeholders to understand requirements and translate them into deliverables.
- Utilize statistical and machine learning techniques to analyze and interpret complex data sets.
- Stay updated with the latest advancements in AI/ML technologies and methodologies.
- Collaborate with cross-functional teams to support various AI/ML initiatives.
Qualifications:
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- Strong understanding of machine learning , deep learning and Generative AI concepts.
Preferred Skills:
- Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack, NLP using python
- Strong knowledge and experience in Generative AI/ LLM based development.
- Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex).
- Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure.
- Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advance retrieval patterns.
- Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets.
- Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval.
- Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine
- knowledge bases with Generative AI models.
- Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs.
- Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight).
- Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch).
- Experience with version control systems (e.g., Git, CodeCommit).
Good to have Skills
- Knowledge and Experience in building knowledge graphs in production.
- Understanding of multi-agent systems and their applications in complex problem- solving scenarios.
Job Types: Full-time, Permanent
Pay: ₹1,500, ₹3,000,000.00 per year
Benefits:
- Health insurance
- Provident Fund
Experience:
- NLP: 2 years (Preferred)
- AWS: 2 years (Preferred)
- AI/ML: 2 years (Preferred)
Work Location: In person