5,003 AI jobs in India

About the company:

Making Trade Happen

Coface ( ) is a leading global player in credit insurance and risk management helping companies to secure their trade activities worldwide. Coface is also a recognized expert in corporate information, bonding, political risk, debt collection and factoring.

Coface is a team of 4,500 people of 78 nationalities across nearly 60 countries, all sharing a corporate culture across the world. Together, we work towards one objective: facilitating trade by helping our 50,000 corporate clients develop their businesses.

With 75 years of experience, Coface is a leader in the credit insurance and risk management market. We have also developed a range of other value-added services, including factoring, debt collection, Single Risk insurance, bonding, and information services.

As a close-knit, international organization at the core of the global economy, Coface offers an enriching work experience on several levels: relational, professional, and cultural.

Every day, our teams are making trade happen. Join us!

Ideal Candidate Profile:

• Must have a background in Computer Science
• Hands-on experience in Machine Learning and Natural Language Processing (NLP)
• Strong Python development skills , with a focus on writing high-quality, maintainable code.
• Familiar with code reviews and continuous integration (CI) best practices.
• Experience with Docker and Kubernetes for containerization and orchestration.
• Exposure to cloud-based applications and deployment workflows.
• Proficient in SQL and NoSQL databases , including document and graph-based systems.
• Comfortable working in Linux environments and using Git for version control.
• Demonstrates autonomy , curiosity , and rigor in problem-solving and development.

Mission:

• You join Coface's Data Lab team and work mostly in pairs or in small teams on innovative projects.
• You design and fully develop solutions that can implement AI technologies.
• You contribute to technology watch

The Job description:

• The Data Lab brings together Data Science and Software engineering skills to develop and deploy solutions that improve the company's processes, products and services.
• The team seeks to make use of AI and data science techniques and to implement development best practices to deploy applications and APIs on Docker/Kubernetes infrastructures, in Apache Airflow and in the Cloud.
• Sharing knowledge through presentations between team members, training and technology watch on dedicated time are all part of the Data Lab's culture.

About role:

The use cases for data science are varied and lead to concrete implementations. Here are some examples:

• Score the risk of corporate failure in every country
• Extract information from images, documents and web scrapping
• Build knowledge graphs from corporates linkages
• Specialize search engine and language models in identifying companies
• Generate visual and textual explanations for AI model predictions

Key Qualifications & Experience:

• Bachelor’s or master’s degree in computer science ,academic background in Data Science: supervised and unsupervised machine learning, natural language processing…
• Min 2 to 5 years' experience in Python application development with high quality standards and implementation of code reviews and continuous integration best practices.
• Experience of Docker/Kubernetes deployment and cloud applications desirable
• Use of Linux and Git
• Practice of SQL and experience with NoSQL databases (document, graph)
• Autonomy, curiosity, rigor

What can we offer you?

• Flexible working model: up to 3days of home office per week after the 1st month
• Opportunities to learn: 450Euro budget every year for training, languages platform, e-learning platform, dedicated development program…
• Career opportunities: Opportunity to build your career (both locally and internationally) in a large global company, one of the world leaders in its field

Diversity, Equity & Inclusion :

Coface aims to be a leader in Diversity, Equity, and Inclusion within the Trade Credit-Insurance industry. We are committed to creating an environment where every employee can thrive, fostering a culture of belonging and fairness. By attracting top talent from diverse backgrounds, we strive to be a model for an inclusive employee experience.

As an equal opportunity employer, Coface welcomes all qualified applicants without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability, or any other legally protected characteristics.

About the company:

Making Trade Happen

Coface ( ) is a leading global player in credit insurance and risk management helping companies to secure their trade activities worldwide. Coface is also a recognized expert in corporate information, bonding, political risk, debt collection and factoring.

Coface is a team of 4,500 people of 78 nationalities across nearly 60 countries, all sharing a corporate culture across the world. Together, we work towards one objective: facilitating trade by helping our 50,000 corporate clients develop their businesses.

With 75 years of experience, Coface is a leader in the credit insurance and risk management market. We have also developed a range of other value-added services, including factoring, debt collection, Single Risk insurance, bonding, and information services.

As a close-knit, international organization at the core of the global economy, Coface offers an enriching work experience on several levels: relational, professional, and cultural.

Every day, our teams are making trade happen. Join us!

Ideal Candidate Profile:

• Must have a background in Computer Science
• Hands-on experience in Machine Learning and Natural Language Processing (NLP)
• Strong Python development skills , with a focus on writing high-quality, maintainable code.
• Familiar with code reviews and continuous integration (CI) best practices.
• Experience with Docker and Kubernetes for containerization and orchestration.
• Exposure to cloud-based applications and deployment workflows.
• Proficient in SQL and NoSQL databases , including document and graph-based systems.
• Comfortable working in Linux environments and using Git for version control.
• Demonstrates autonomy , curiosity , and rigor in problem-solving and development.

Mission:

• You join Coface's Data Lab team and work mostly in pairs or in small teams on innovative projects.
• You design and fully develop solutions that can implement AI technologies.
• You contribute to technology watch

The Job description:

• The Data Lab brings together Data Science and Software engineering skills to develop and deploy solutions that improve the company's processes, products and services.
• The team seeks to make use of AI and data science techniques and to implement development best practices to deploy applications and APIs on Docker/Kubernetes infrastructures, in Apache Airflow and in the Cloud.
• Sharing knowledge through presentations between team members, training and technology watch on dedicated time are all part of the Data Lab's culture.

About role:

The use cases for data science are varied and lead to concrete implementations. Here are some examples:

• Score the risk of corporate failure in every country
• Extract information from images, documents and web scrapping
• Build knowledge graphs from corporates linkages
• Specialize search engine and language models in identifying companies
• Generate visual and textual explanations for AI model predictions

Key Qualifications & Experience:

• Bachelor’s or master’s degree in computer science ,academic background in Data Science: supervised and unsupervised machine learning, natural language processing…
• Min 2 to 5 years' experience in Python application development with high quality standards and implementation of code reviews and continuous integration best practices.
• Experience of Docker/Kubernetes deployment and cloud applications desirable
• Use of Linux and Git
• Practice of SQL and experience with NoSQL databases (document, graph)
• Autonomy, curiosity, rigor

What can we offer you?

• Flexible working model: up to 3days of home office per week after the 1st month
• Opportunities to learn: 450Euro budget every year for training, languages platform, e-learning platform, dedicated development program…
• Career opportunities: Opportunity to build your career (both locally and internationally) in a large global company, one of the world leaders in its field

Diversity, Equity & Inclusion :

Coface aims to be a leader in Diversity, Equity, and Inclusion within the Trade Credit-Insurance industry. We are committed to creating an environment where every employee can thrive, fostering a culture of belonging and fairness. By attracting top talent from diverse backgrounds, we strive to be a model for an inclusive employee experience.

As an equal opportunity employer, Coface welcomes all qualified applicants without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability, or any other legally protected characteristics.

Dear Connection!

find the below mention JD for the skill

Job Description

1Role - Senior Product Engineer (Designer)

2Required Technical Skill Set - Data Science AI/ML , Java, Python, Generative AI, Computer vision, NLP

3Desired Experience Range - 8-10 Years Hands On Experience in Data Science AI/ML , Java, Python, Generative AI, Computer vision, NLP

4Location of Requirement - India - Bhubaneswar

Competencies Required (Technical/Behavioral Competency)

Essentials

• Data Science AI/ML ,
• Java
• Python
• Generative AI
• Computer vision
• NLP

Desirable

• Exposure to Product Development

Sl. No.

Responsibility of / Expectations from the Role

1 Design, and deploy large-scale AI/ML models(Classification, Regression and Time Series models), Simulation, Optimization and Generative AI related solutions

2 Design Generative AI, LLMs, and deep learning technologies

Type

Details of The Role (For Candidate Briefing)

Reporting To Which Role

Product Engineering Lead

Size of the Team, if any Reporting to this Role

5

On-site Opportunity

N/A

Career Path & Unique Selling Proposition (USP) of The Role

• Develop as a Product Architect
• Hands On exposure to global customers in next generational digital transformation
• Work with a global team of industry experts and thought leaders

Details of The Project (A short Briefing on the Project may be attached with this document for candidate- briefing). It may be shared with external stakeholders like job-agencies etc.

The Digital Software and Solutions Group in TCS is partnering with customers in leading Digital Transformation initiatives across the domains of Customer Intelligence, Digital Commerce and Intelligent Infrastructure (IoT) . The group is focused on bringing industry focused pre-integrated software that brings together the disruptive technologies of Big Data Analytics, Mobility, Social and Cloud in order to accelerate Digital Transformation Initiatives in order to increase organizational efficiencies and more importantly how companies will be engaging with their customers.

This role is for Product Engineering team within the DS&S unit.

Greetings from Colan Infotech!

Role - Data Scientist

Experience - 6+ Years

Job Location - Chennai/Bangalore

Notice Period - Immediate to 30 Days

Primary Skills Needed : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM

Secondary Skills Needed : Keras, OpenCV, Azure or AWS

Job Description:-

• Practical knowledge and working experience on Statistics and Operation Research methods.
• Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.
• Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.
• Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.
• Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.
• Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS
• Comprehend business issues and propose valuable business solutions.
• Design Factual or AI/profound learning models to address business issues.
• Design Statistical Models/ML/DL models and deploy them for production.
• Formulate what information is accessible from where and how to augment it.
• Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j

Interested candidates send updated resume to

We are seeking a talented and innovative Data Scientist to join our dynamic team in Pune, India. As a Data Scientist, you will play a crucial role in extracting valuable insights from complex datasets, developing advanced analytical models, and driving data-driven decision-making across our organization.

• Job Description

  Experience: 8 - 14 years

  Primary Skills: Data Science

  Secondary Skills: Data Engineering/Data Analytics

  Overview:

  The role requires a skilled and versatile Data Scientist with strong experience in Natural Language Processing (NLP), Time Series Forecasting, and a working knowledge of Computer Vision (CV) techniques. The candidate will be working on cutting-edge AI applications with tangible business impact and collaborate with a diverse team of engineers, analysts, and domain experts and help us build holistic, multi-modal solutions.

  Required Skills:

• Minimum 5 years in a Data Science or ML role with direct experience in NLP and forecasting.
• Proficient in Python and libraries like Pandas, NumPy, Scikit-learn, HuggingFace Transformers, and Prophet/ARIMA.
• Strong understanding of model development lifecycle: from data ingestion to deployment.
• Hands-on experience with SQL and data visualization (e.g., Seaborn, Matplotlib, Tableau).
• Experience handling retail-specific data (ideally Apparel/Footwear) with seasonality, inventory, and sales nuances.
• Familiarity with cloud platforms like AWS, GCP, or Azure for scalable model training and deployment.

• Good to have:

• Experience or interest in Computer Vision: object detection, OCR, or visual product search.
• Familiarity with OpenCV, YOLO, CNNs, or OCR tools like Tesseract, EasyOCR.
• Exposure to multi-modal ML systems (combining text, image, and tabular data).
• Knowledge of API development (FastAPI, Flask) to expose ML models for product use.
• Understanding of MLOps practices (e.g., CI/CD for ML, model monitoring).
• Previous experience in fine-tuning LLMs or applying transfer learning in domain-specific NLP tasks.
• Data Engineering:
  • Experience in building and managing data pipelines using Azure Data Factory.
  • Familiarity with Azure Synapse Analytics for data warehousing and analytics.
  • Working knowledge of Azure Data Lake, Databricks on Azure, or Azure SQL for handling large-scale data.
  • Good understanding of ETL/ELT processes, data transformation, and integration workflows in Azure ecosystem.
  • Experience with scheduling, monitoring, and optimizing pipelines for ML data readiness.

• Key Responsibilities:

  Natural Language Processing:

• Apply NLP techniques to extract insights from text data such as product descriptions, reviews, internal documents, and reports.
• Fine-tune transformer-based models (e.g., BERT, RoBERTa, LLaMA) for classification, summarization, and named entity recognition.
• Work with domain experts to create and maintain retail-specific taxonomies and knowledge structures.
• Ensure model outcomes are explainable, ethical, and aligned with business needs.

• Time Series Forecasting:

• Analyze historical demand, inventory, and sales data to uncover trends and seasonality.
• Utilize pre-trained models (e.g., ARIMA, Prophet, DeepAR) to generate accurate demand forecasts.
• Fine-tune and adapt existing models using domain-specific data from the apparel/footwear industry.
• Translate forecasts into actionable insights for supply chain, merchandising, and planning teams.

• Good to have - Computer Vision:

• Assist or contribute to CV projects involving product imagery, shelf monitoring, visual search, or quality control.
• Apply basic CV techniques like image classification, object detection (e.g., using YOLO, OpenCV, or CNNs).
• Support integration of image-based data into larger multi-modal ML systems.

• Collaboration & Integration:

• Work closely with cross-functional teams (e.g., Data Engineering, DevOps, Product, and Business Stakeholders).
• Develop scalable, reusable ML components that can be deployed in production environments.
• Participate in designing evaluation frameworks and A/B tests for forecasting and NLP model effectiveness.

• Master's degree in Computer Science, Data Science, Statistics, or a related field
• Proven experience in data science, machine learning, or a similar role
• Strong proficiency in Python and SQL for data manipulation and analysis
• Experience with cloud technologies, preferably Azure Databricks and MLflow
• In-depth knowledge of machine learning algorithms, including regression, classification, clustering, and deep learning
• Expertise in feature engineering, feature selection, and model evaluation techniques
• Strong skills in exploratory data analysis (EDA) and data visualization
• Experience building end-to-end AI systems and pipelines
• Familiarity with big data technologies such as Hadoop and Spark
• Solid understanding of statistical analysis and probability theory
• Experience with version control systems, preferably Git
• Excellent problem-solving skills and ability to translate complex business problems into technical solutions
• Strong communication skills to effectively present findings to both technical and non-technical audiences
• Ability to work independently and collaboratively in a fast-paced, dynamic environment
• Knowledge of distributed systems is a plus

Beware of scams

Our recruiting team may communicate with candidates via our @hitachisolutions.com domain email address and/or via our SmartRecruiters (Applicant Tracking System) domain email address regarding your application and interview requests.  

All offers will originate from our @hitachisolutions.com domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.