233 Data Scientists jobs in Delhi
Sn. Data Scientists- AI/ML- GEN AI- Work location : Across india | EXP: 4 - 12 years
Posted 3 days ago
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Job Description
Data Scientists- AI/ML- GEN AI- Across india | EXP: 4 - 10 years
data scientists with total of around 4-10 years of experience and atleast 4-10 years of relevant data science, analytics, and AI/ML Python; data science; AI/ML; GEN AI
Primary Skills :
- Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc.
- Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc).
- Proficient in coding in common data science language & tools such as R, Python.
- Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc.
- Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc.
- Exposure or knowledge in cloud (Azure/AWS).
- Experience on deployment of model in production.
Sn. Data Scientists- AI/ML- GEN AI- Work location : Across india | EXP: 4 - 12 years
Posted 3 days ago
Job Viewed
Job Description
Data Scientists- AI/ML- GEN AI- Across india | EXP: 4 - 10 years
data scientists with total of around 4-10 years of experience and atleast 4-10 years of relevant data science, analytics, and AI/ML Python; data science; AI/ML; GEN AI
Primary Skills :
- Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc.
- Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc).
- Proficient in coding in common data science language & tools such as R, Python.
- Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc.
- Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc.
- Exposure or knowledge in cloud (Azure/AWS).
- Experience on deployment of model in production.
Sn. Data Scientists- AI/ML- GEN AI- Work location : Across india | EXP: 4 - 12 years
Posted 3 days ago
Job Viewed
Job Description
Data Scientists- AI/ML- GEN AI- Across india | EXP: 4 - 10 years
data scientists with total of around 4-10 years of experience and atleast 4-10 years of relevant data science, analytics, and AI/ML Python; data science; AI/ML; GEN AI
Primary Skills :
- Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc.
- Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc).
- Proficient in coding in common data science language & tools such as R, Python.
- Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc.
- Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc.
- Exposure or knowledge in cloud (Azure/AWS).
- Experience on deployment of model in production.
National Researcher - Data Analysis and
Posted today
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Job Description
- Cleaning, curating and analyzing large datasets with tools like PowerBI, Excel, SPSS, SAS etc.;
- Creating, editing and presenting data through visualization including but not limited to maps, charts, and graphs;
- Transforming data sets, quantitative and qualitative analysis into compelling story maps/visuals;
- Providing visual, technical and editorial guidance to multi-disciplinary teams in building digital assets targeting policy makers and other relevant stakeholders;
- Working closely with the project team and IWMI communications staff help provide relevant content to related reports and briefs.
- Create detailed reports on data sources, methodology, analytical techniques, analytical results and insights for stakeholders.
- Develop visualizations and presentations for dissemination of analytical results and derivation of actionable insight.
- Help to enhance the utilization of water-related hazards data to improve climate resilient and disaster risk reduction outcomes.
- Create wireframes, prototypes and sitemaps to communicate design components.
- Develop water risks data analysis visualizations and support data linkages to those visualizations.
- Develop user stories and mockups for data visualization.
- Build visual interfaces, shared visualization components, and a custom visualization that display interactive visual insights to the users.
- Perform coding and testing of data visualizations using open source or visualization packages.
- Perform data modeling, database development, and management.
- Ensures that validated data is implemented through dashboards and various reporting methods.
- Research data management and mapping plans consulted with stakeholders.
- Serve as the focal point for data management and coordination across CGIAR ClimBeR initiatives.
- Lead the team in technical design and architecture solutions.
- System development as per data management plans along with verification and validation in line with the production of maps and related products.
- Support the development of training modules on various digital tools, and knowledge products to support stakeholders.
- Guide principles for data visualization for all interfaces and tools built.
- Other duties, as assigned by WRDR Research Group Leader and Country Representative India.
**Requirements**:
- Master’s or Bachelor’s in Data Science, Mathematics, Statistics, Economics, Engineering.
- 5+ years of analytics experience with specific focus on visualization tools, methodologies, and/or responsibilities.
- Experience in HTML5 and CSS, modern JavaScript frameworks like Bootstrap, Angular.js, D3.js
- Knowledge in Tableau server and/or PowerBI to develop meaningful visualization.
- Strong web UI programming skills.
- Experience with spatial data handling from satellite data and associated tools, such as GIS.
- Good understanding of the principles of user centered design, design thinking and any other methodologies relevant to UI/UX design.
- Familiarity with typography, color, interaction design and fluency with Adobe tools.
- Excellent user interface design skills, including demonstrable knowledge on Graphical User Interface (GUI) layouts.
- Strong cartography skills.
- Expertise with charting and other data visualization techniques.
- Fluency with Adobe Illustrator, Excel and Photoshop.
- Ability and willingness to travel, as required.
- Creative vision, a passion for learning and willingness to adopt and share new ideas.
- Demonstrated passion, ability, and willingness to learn quickly and a problem-solving mindset.
- Collaborate with internal customers to establish requirements and deliver innovative solutions.
- Experience in storytelling with data and knowledge in principles of dashboard design preferred.
- Knowledge of data intelligence & analytics strategies best practices.
- Knowledge of database, ETL and data API concepts.
- Architecture the business requirements and processes and build universes - should have work experience in Universe Design Tool and Information Design Tool.
- Driven to achieve outputs and goals within agreed deadlines in a fast-paced environment and multi-cultural environments.
**Benefits**
**What we are offering**:
- IWMI believes that diversity powers our innovation, contributes to our excellence, and is critical for our mission. We offer a multi-cultural, multi-color, multi-generational and multi-disciplinary working environment. We are consciously creating an inclusive organization that reflects our global character and our commitment to gender equity. We, therefore, encourage applicants from all cultures, races, ethnicities, religions, sexes, national or regional origins, ages, disability status, sexual orientations, and gender identities._
Machine Learning Engineer
Posted 6 days ago
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Job Description
We are looking for a skilled and driven Machine Learning Engineer with 3+ years of experience to join our core AI development team. The role involves building and optimising machine learning models, developing data pipelines, and contributing to AI-powered features used in financial crime detection, document intelligence, and compliance analytics. This is a high-impact role for someone passionate about applying machine learning in real-world applications and eager to grow in a fast-paced environment.
Responsibilities
- Build, test, and deploy machine learning models for various data-driven use cases
- Develop scalable data preprocessing and feature engineering pipelines
- Collaborate with product and engineering teams to integrate AI functionalities into production systems
- Analyze model performance, run experiments, and fine-tune algorithms for accuracy and speed
- Contribute to maintaining version-controlled ML workflows and reusable modules
- Assist in preparing training datasets from structured and unstructured sources
- Support model monitoring, feedback loop integration, and continuous improvements
Technical Skills Required
- Strong foundation in Python and applied machine learning
- Experience with one or more ML frameworks such as scikit-learn, TensorFlow, or PyTorch
- Understanding of supervised, unsupervised, and basic NLP techniques
- Familiarity with building data pipelines and working with large datasets (Pandas, NumPy, SQL)
- Exposure to model deployment concepts, APIs, and inference
- Basic knowledge of Git, Docker, and cloud environments (AWS/GCP/Azure)
Preferred (Nice to Have)
- Experience with document data (PDFs, scanned files) or OCR tools
- Exposure to transformer-based models or LLMs
- Familiarity with ML lifecycle tools (MLflow, DVC, Weights & Biases)
- Prior experience in fintech, risk analysis, or fraud detection systems
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field
- 3+ years of hands-on experience in ML/AI development roles
Compensation & Growth
- Competitive compensation aligned with industry benchmarks
- ESOPs and performance bonuses for high performers
- Exposure to real-world AI use cases with domain experts in fintech, compliance, and GenAI
- Opportunity to grow into senior research or MLOps roles based on performance and interest
Machine Learning Engineer
Posted today
Job Viewed
Job Description
Responsibilities
Build, test, and deploy machine learning models for various data-driven use cases
Develop scalable data preprocessing and feature engineering pipelines
Collaborate with product and engineering teams to integrate AI functionalities into production systems
Analyze model performance, run experiments, and fine-tune algorithms for accuracy and speed
Contribute to maintaining version-controlled ML workflows and reusable modules
Assist in preparing training datasets from structured and unstructured sources
Support model monitoring, feedback loop integration, and continuous improvements
Technical Skills Required
Strong foundation in Python and applied machine learning
Experience with one or more ML frameworks such as scikit-learn, TensorFlow, or PyTorch
Understanding of supervised, unsupervised, and basic NLP techniques
Familiarity with building data pipelines and working with large datasets (Pandas, NumPy, SQL)
Exposure to model deployment concepts, APIs, and inference
Basic knowledge of Git, Docker, and cloud environments (AWS/GCP/Azure)
Preferred (Nice to Have)
Experience with document data (PDFs, scanned files) or OCR tools
Exposure to transformer-based models or LLMs
Familiarity with ML lifecycle tools (MLflow, DVC, Weights & Biases)
Prior experience in fintech, risk analysis, or fraud detection systems
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field
3+ years of hands-on experience in ML/AI development roles
Compensation & Growth
Competitive compensation aligned with industry benchmarks
ESOPs and performance bonuses for high performers
Exposure to real-world AI use cases with domain experts in fintech, compliance, and GenAI
Opportunity to grow into senior research or MLOps roles based on performance and interest
Machine Learning Engineer
Posted 12 days ago
Job Viewed
Job Description
Experience - 3 to 5 years
Job Location - Pune / Remote
Immediate Joiner Only
Role Overview
The ML Ops Engineer plays a critical role in the development, automation, and deployment of Machine Learning (ML) and Generative AI (GenAI) pipelines across AWS cloud environments. This hands-on role emphasizes building reproducible workflows, integrating observability tools, and enabling efficient, scalable model delivery. The position supports AI systems deployed in banking environments, where resilience and reliability are paramount.
Key Experience:
3-5 years Strong programming skills in Python, with experience in pandas, SQL, and ML frameworks (e.g., scikit-learn).
Should have used Python in ML domain to build, train and maintain models.
Familiarity with AWS services such as Lambda, Glue, CloudWatch, and Bedrock.
Experience with container workflows (Docker) and model lifecycle management.
Foundational knowledge of observability practices and model deployment fundamentals.
Interest or experience in supporting AI systems used by developers or analysts.
Strong communication and documentation skills with a collaborative team mindset.
Ability to assume ownership of assignments and consistently meet deadlines.
Responsibilities :
Deploy and maintain ML and GenAI models using AWS services, including SageMaker, Fargate, and Bedrock.
Apply prompt engineering techniques to optimize GenAI model performance and reliability.
Experience with Retrieval-Augmented Generation (RAG) applications is a plus.
Assist in building and maintaining internal model-serving platforms to support development teams.
Implement containerized services using Docker and deploy them to AWS infrastructure.
Write Infrastructure-as-Code (IaC) using Terraform to automate cloud resource provisioning ( nice to have ).
Participate in unit and end-to-end testing of ML pipelines, services, and monitoring workflows.
Support model monitoring and health tracking using AWS CloudWatch and internal observability tools.
Document internal systems and operational processes to ensure maintainability and reproducibility.
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Machine Learning Engineer
Posted 16 days ago
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Job Description
Branch delivers world-class financial services to the mobile generation. With offices in the United States, Nigeria, Kenya, and India, Branch is a for-profit socially conscious company that uses the power of data science to reduce the cost of delivering financial services in emerging markets. We believe that everyone everywhere deserves fair financial access. The rapid spread of smartphones presents an opportunity for the world’s emerging middle class to access banking options and achieve financial flexibility.
Branch’s mission-driven team is led by the founder and former CEO of Kiva.org. The company presents a rich opportunity for our team members to drive meaningful growth in rapidly evolving and changing markets. In 2019, Branch announced our Series C and garnered more than $100M in funding with investments from leading Silicon Valley firms, including Andreessen Horowitz, Trinity Capital, Foundation Capital, Visa, and the International Finance Corporation (IFC).
As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As a product-driven org, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we create an environment where everyone feels empowered to propose solutions to the challenges we face.
We value diversity and are committed to providing an inclusive working environment where human beings of all backgrounds can thrive.
Job Overview
Branch launched in India in early 2019 and has seen rapid adoption and growth. We are expanding our product portfolio as well as our user base in all our markets including India. We are looking for talented Machine Learning Engineers to join us and be part of this journey. You will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems. We make extensive use of machine learning in our credit product, where it is used (among other things) for underwriting and loan servicing decisions. We are also actively exploring other applications of Machine Learning in some of our newer products, with the ultimate goal of improving the user experience.
Machine Learning sits at the intersection of a number of different disciplines: Computer Science, Statistics, Operations Research, Data Science, and others. At Branch, we fundamentally believe that in order for Machine Learning to be impactful, it needs to be closely embedded into the rest of the product development and software engineering process, which is why we emphasize the importance of software engineering skills and experience for this role.
As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making. We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.
Responsibilities
Credit Decisions: Core to our business is understanding and building signals from unstructured and structured data to identify good borrowers.
Customer Service: Using machine learning and LLM/NLP, automate customer service interactions and provide context to our customer service team.
Fraud Prevention: Identify patterns of fraudulent behavior and build models to detect and prevent these behaviors.
Team work: Bring your experience to bear on the technical direction and abilities of the team, and work cross-functionally with policy and product teams as we improve processes and break new ground.
Qualifications
2+ years of hands-on experience building software in a production environment. Startup or early-stage team experience is preferred.
Excellent software engineering and programming skills, especially Python and SQL.
A diverse range of data skills, including experimentation, statistics, and machine learning, and have used these skills to inform business decisions.
A deep understanding of using cloud computing infrastructure and data pipelines in production.
Self motivation: You teach yourself new skills. You take the initiative to solve problems before they arise. You roll up your sleeves and get stuff done.
Team motivation: You listen to others, speak your mind, and ask the right questions. You are a great collaborator and teacher.
The drive to make a positive impact on customers' lives.
Benefits of Joining
Mission-driven, fast-paced, and entrepreneurial environment
Competitive salary and equity package
A collaborative and flat company culture
Fully-paid Group Medical Insurance and Personal Accidental Insurance
Unlimited paid time off, including personal leave, bereavement leave, and sick leave
Fully paid parental leave — 6 months maternity leave and 3 months paternity leave
Monthly WFH stipend alongside a one-time home office set-up budget
$500 Annual professional development budget
Team meals and social events — Virtual and In-person
We’re looking for more than just qualifications -- if you’re unsure that you meet the criteria but identify with our vision of providing equal opportunity to everyone to access financial services, please do not hesitate to apply!
Branch International is an Equal Opportunity Employer. The company does not and will not discriminate in employment on any basis prohibited by applicable law.
Machine Learning Engineer
Posted today
Job Viewed
Job Description
We are looking for a skilled and driven Machine Learning Engineer with 3+ years of experience to join our core AI development team. The role involves building and optimising machine learning models, developing data pipelines, and contributing to AI-powered features used in financial crime detection, document intelligence, and compliance analytics. This is a high-impact role for someone passionate about applying machine learning in real-world applications and eager to grow in a fast-paced environment.
Responsibilities
- Build, test, and deploy machine learning models for various data-driven use cases
- Develop scalable data preprocessing and feature engineering pipelines
- Collaborate with product and engineering teams to integrate AI functionalities into production systems
- Analyze model performance, run experiments, and fine-tune algorithms for accuracy and speed
- Contribute to maintaining version-controlled ML workflows and reusable modules
- Assist in preparing training datasets from structured and unstructured sources
- Support model monitoring, feedback loop integration, and continuous improvements
Technical Skills Required
- Strong foundation in Python and applied machine learning
- Experience with one or more ML frameworks such as scikit-learn, TensorFlow, or PyTorch
- Understanding of supervised, unsupervised, and basic NLP techniques
- Familiarity with building data pipelines and working with large datasets (Pandas, NumPy, SQL)
- Exposure to model deployment concepts, APIs, and inference
- Basic knowledge of Git, Docker, and cloud environments (AWS/GCP/Azure)
Preferred (Nice to Have)
- Experience with document data (PDFs, scanned files) or OCR tools
- Exposure to transformer-based models or LLMs
- Familiarity with ML lifecycle tools (MLflow, DVC, Weights & Biases)
- Prior experience in fintech, risk analysis, or fraud detection systems
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field
- 3+ years of hands-on experience in ML/AI development roles
Compensation & Growth
- Competitive compensation aligned with industry benchmarks
- ESOPs and performance bonuses for high performers
- Exposure to real-world AI use cases with domain experts in fintech, compliance, and GenAI
- Opportunity to grow into senior research or MLOps roles based on performance and interest
Machine Learning Engineer
Posted today
Job Viewed
Job Description
Job Description Machine Learning Engineer
We seek a motivated and enthusiastic Machine Learning Engineer to join our team. As a fresher, you will work closely with senior engineers and data scientists to learn, grow, and contribute to various machine learning projects. You will help in building, training, and optimizing machine learning models and work with data to derive meaningful insights. This role is perfect for someone looking to start a career in machine learning, with opportunities for continuous learning and growth.
Key Responsibilities:
- Assist in developing machine learning models : Collaborate with senior engineers to design and build machine learning models for real-world applications.
- Data preprocessing : Work on cleaning, transforming, and organizing datasets to prepare them for model training.
- Model evaluation : Help evaluate models using different metrics and assist in tuning hyperparameters to optimize performance.
- Research and learning : Stay updated on the latest machine learning techniques and best practices through independent learning and team mentorship.
- Collaborate with teams : Work closely with data scientists, data engineers, and product teams to understand project requirements and assist in solution development.
- Documentation : Contribute to project documentation, including code comments, model descriptions, and reports.
- Support model deployment : Assist in integrating models into production systems and monitor their performance over time.
- Debugging and troubleshooting : Help identify and resolve issues in data processing pipelines and model performance.
Qualifications:
- Education : Bachelor’s /Master’s degree in Computer Science, Machine learning, Data Science, Mathematics, Statistics, or a related field (or equivalent experience).
- Skills :
- Basic understanding of machine learning algorithms (e.g., linear regression, decision trees, k-means clustering).
- Familiarity with programming languages such as Python or R.
- Knowledge of machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with data manipulation tools like Pandas and NumPy.
- Good problem-solving and analytical skills.
- Strong desire to learn and grow in the machine learning field.
- Effective communication and teamwork skills.
Preferred Qualifications:
- Internship or coursework in machine learning, artificial intelligence, or data science.
- Experience with projects involving machine learning (academic or personal).
- Familiarity with cloud platforms like AWS, Google Cloud, or Azure is a plus.
- Exposure to tools like Jupyter Notebooks, Git, and version control systems.
Benefits:
- Competitive entry-level salary.
- Learning and development opportunities, including mentorship from senior engineers.
- Flexible work environment with opportunities for remote work.
- Access to industry-leading tools and technologies.