786 Trainee Intern Data Science jobs in Bangalore
Trainee Intern Data Science
Posted 11 days ago
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Job Description
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.
Company Details
AVP - Data Science
Posted today
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Job Description
+ The TTS Analytics team provides analytical insights to the Product, Pricing, Client Experience and Sales functions within the global Treasury & Trade Services business. The team works on business problems focused on driving acquisitions, cross-sell, revenue growth & improvements in client experience.
+ The team extracts relevant insights, identifies business opportunities, converts business problems into analytical frameworks, uses big data tools and machine learning algorithms to build predictive models & other solutions, and designs go-to-market strategies for a huge variety of business problems.
ROLE DESCRIPTION
+ The role will be Asst. Vice President (C12) in the TTS Analytics team
+ The role will report to the VP or SVP leading the team
+ The role will involve leading a team of data scientists and analysts
+ The role will involve leading a team of data scientists and analysts responsible for the full lifecycle of machine learning model development and deployment.
+ The role will involve working on multiple data science projects throughout the year on business problems across the client life cycle - acquisition, engagement, client experience and retention - for the TTS business.
+ This includes understanding business needs, designing, developing, and deploying machine learning models, and communicating insights and recommendations to stakeholders.
+ The candidate should demonstrate a strong understanding of machine learning principles, model development methodologies, and deployment strategies.
+ This will involve leveraging multiple analytical approaches, tools and techniques, working on multiple data sources (client profile & engagement data, transactions & revenue data, digital data, unstructured data like call transcripts etc.) to provide data driven insights and machine learning solutions to business and functional stakeholders.
QUALIFICATIONS
**Experience:**
+ Bachelor's Degree with 7-10 years of experience in data analytics, or Master's Degree with 6-10 years of experience in data analytics, or PhD.
+ Must have:
+ Marketing analytics experience
+ Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention
+ Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
+ Strong hands-on knowledge of Data Science and Machine Learning, including supervised learning algorithms (both Classification and Regression) such as Linear Regression, Random Forest, XGBoost, Support Vector Machines, etc., as well as unsupervised learning techniques (e.g., clustering, dimensionality reduction).
+ Experience building and deploying time series models for forecasting and anomaly detection.
+ Experience with unstructured data analysis, e.g., call transcripts, using Natural Language Processing (NLP)/Text Mining techniques.
+ Experience building end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
+ Experience on business problems around sales/marketing strategy optimization, pricing optimization, client experience, cross-sell and retention
+ Experience across different analytical methods like hypothesis testing, segmentation, time series forecasting, test vs. control comparison etc.
+ Good to have:
+ Experience in financial services
+ Deep learning experience; able to work with Neural Networks using TensorFlow and/or PyTorch.
+ Knowledge on working with GenAI and LLM
**Skills:**
**Analytical Skills:**
+ Ability to understand complex business problems, break them down into simpler solvable parts and develop analytical approaches to tackle them
+ Strong logical reasoning and problem-solving ability
+ Proficient in converting business problems into analytical tasks, and analytical findings into business insights
+ Proficient in identifying trends and patterns with data
**Tools and Platforms:**
+ Proficient in Python/R, PySpark, SQL
+ Proficient with ML libraries such as Scikit-learn, TensorFlow and PyTorch
+ Proficient in MS Excel, PowerPoint
+ Good to have:
+ Experience with Tableau
+ Experience in Hive
**Soft Skills:**
+ Ability to drive clear and comprehensive communication flow between business stakeholders and the team and vice versa, translating analytical findings into key insights and actionable recommendations
+ Building and managing high performance teams
+ Ability to coach and mentor team members on an ongoing basis
+ Ability to drive ideation on analytical projects to tackle strategic business priorities
+ Comfort on working with ambiguity and open-ended questions
+ Strong process/project management skills
+ Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.
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**Job Family Group:**
Decision Management
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**Job Family:**
Specialized Analytics (Data Science/Computational Statistics)
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**Time Type:**
Full time
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**Most Relevant Skills**
Please see the requirements listed above.
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**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
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_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.
Data Science Manager
Posted 3 days ago
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Job Description
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.
You will dive deep into the heart of our business, understanding its objectives and requirements - viewing them through the lens of business acumen, and converting this knowledge into a data problem. You'll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention - models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models - you're deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset - ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
Who You Are
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
Required Skills and Experience
-12+ years in IT , Knowledge of modeling tools and programming languages, e.g., Azure ML, Vortex AI AutoML, SageMaker, or Python
-Excellent problem-solving, analytical, and critical thinking skills
-Communication and presentation skills, with the ability to convey complex data insights to both technical and non-technical audiences
-Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail
Preferred Skills and Experience
-Degree in a quantitative discipline, such as mathematics, statistics, computer science, or mechanical engineering
-Professional certification, e.g., Open Certified Data Scientist
-Cloud platform certification, e.g., AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, or Microsoft Certified: Azure Data Scientist Associate
-Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio
-Experience in at least one domain, e.g., cybersecurity, IT service management, financial services, or health care
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Consultant, Data Science
Posted 3 days ago
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Job Description
Dell Content Engineering and Translation (CET) teams exist within a very complex ecosystem of departments and business units around the world that together enable Dell's commitment to excellence. As Dell expands its offerings and updates its infrastructure, CET is increasingly at the center of many fast-paced, exciting projects which require vision and technical acumen to achieve, as well as expertise at navigating administrative and political complexity.
Join us as a **Senior Data Scientist** on our **DevOps** team in **Bangalore** to do the best work of your career and make a profound social impact.
**What you'll achieve**
The Senior Data Scientist will join Dell's Content Engineering & Translation (CET) organization, driving innovation at the intersection of knowledge graphs and Generative AI. This role focuses on graph-based modelling and reasoning as well as GenAI, LLMs, and agentic workflows, delivering intelligent, explainable, and scalable solutions for Dell's global content ecosystem. You will combine strong theoretical foundations in data science and machine learning with hands-on expertise in graph technologies, LLM integration, and multi-modal workflows.
**You will:**
+ Collect and analyze linguistic data; implement core NLP techniques like tokenization, NER, and sentiment analysis for MT/NLG pipelines.
+ Design reproducible experiments, establish annotation protocols, and evaluate models using metrics like BLEU, COMET, and ROUGE.
+ Build and enrich knowledge graphs; design ontologies and schemas; optimize queries using SPARQL and Cypher.
+ Develop GraphRAG pipelines, train graph/text embeddings, and integrate agentic frameworks (e.g., LangGraph) for multi-hop reasoning and query translation.
+ Work with MLOps teams to deploy models with CI/CD; monitor GenAI solutions for quality and performance; communicate results to stakeholders.
**Take the first step towards your dream career**
Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:
**Essential Requirements**
+ Strong Python skills with hands-on experience in ML frameworks (PyTorch, TensorFlow) and data processing libraries.
+ Deep understanding of NLP techniques (e.g., summarization, paraphrasing, NER, sentiment analysis) and evaluation metrics (BLEU, COMET, ROUGE, METEOR).
+ Familiarity with LLM frameworks (LangGraph, LlamaIndex), RAG design patterns, and multi-agent orchestration with human-in-the-loop processes.
+ Skilled in graph ML, embeddings, and semantic modeling; experienced in building GraphRAG pipelines and applying graph algorithms.
+ Excellent communication and presentation skills; ability to document and explain complex solutions clearly.
**Desirable Requirements**
+ Experience with Agile development methodology (e.g., Scrum)
+ Experience - 12 to 15 yrs
**Who we are**
We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
**Application closing date: 30 October 2025**
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here ( .
**Job ID:** R
Data Science Specialist
Posted 1 day ago
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Job Description
You will be responsible for design and engineering aspects of the Machine Learning ecosystem developing life cycle frameworks and delivering state-of-the-art solutions for ML pipelining, deployment and integration with the back-end product. Ensure efficient architecture and low-level design of deep learning-based solutions and high-quality deliverables with focus on innovation, scientific research, experimentation and optimal design.
As a subject matter expert, you will be combining your professional experience and an intrinsic desire for problem solving.
- Development and implementation of ML models for product brand extraction based on product name, description and other attributes
- Development and implementation of ML-based product matching solutions
- Development of text-based product classification tools
- Analyze big amount of data from online retailers using statistical techniques to identify patterns
- Build ML, statistical and analytical models, forecasting models
- Create MLDL solution and infrastructure
- Responsible for statistical analysis and model research to develop an advanced analytical approach to generate the required insights
- Design and implement efficient, fault-tolerant Machine Learning flows for processing high-velocity, heterogeneous data, including optimization of Machine Learning workflows for building automated decision systems that provide future predictions
- Provide statistical analysis of large and complex datasets and ensure accuracy in analysis
- Develop innovative and effective approaches to solve analytics problems
You will fit right in if you have –
- 8 years of relevant experience in the domain
- Bachelor’s degree in Computer Science or equivalent
- 4+ years’ experience researching and developing ML models for big data analysis
- Experience of deep learning in NLP (LSTM, BERT, etc.)
- Proficiency with any deep learning framework, Tensorflow + Keras is preferred
- 3+ years’ experience and deep understanding of text processing techniques and best practices (classification, NER, text ranking)
- Python (Pandas, NumPy , scipy, scikit-learn)
- Textual data processing libraries (NLTK, GenSim)
- 2+ years’ experience of training and productionalization of deep learning models
- 3+ years’ experience of software development in Python
- Excellent knowledge of the data science problems, including large scale data and data pipeline management
- Excellent presentation skills, communication skills, verbal and written
- Expert in using data analytical and modeling tools
- Excellent knowledge in using visualization tools
- Strong interpersonal skills and a combination of analytical skills, intellectual curiosity, and accountability
Data Science Specialist
Posted 2 days ago
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Job Description
About the Role
We are looking for a hands-on leader with expertise in Generative AI and enterprise AI chat technologies who can serve as an L25 support layer bridging the gap between frontline support L2 and deep technical experts L3. This person will act as the first point of escalation for AI related technical questions, ensure quality in responses, and coordinate with global colleagues to resolve complex queries. This role is part technical support, part advisory, ensuring internal teams have the right AI tools, workflows, and knowledge to work effectively.
Responsibilities
- Serve as the primary point of contact for escalated technical queries related to Generative AI (GenAI), the internal enterprise AI chat solution, and AI assisted workflows.
- Provide direct technical assistance and guidance to users; escalate to and collaborate with L3 subject matter experts when necessary.
- Ensure accuracy, consistency, and quality in responses provided to internal teams.
- Document solutions, best practices, and repeatable workflows for common queries.
- Monitor and analyze support requests to identify training opportunities, system improvements, or process optimizations.
- Stay updated on emerging AI tools, prompt engineering techniques, and integration capabilities.
Required Skills
- Proven experience in Generative AI technologies, including enterprise AI chat solutions (e.g., Azure OpenAI, Anthropic Claude, Google Gemini, or custom internal AI chat platforms).
- Strong technical troubleshooting and problem-solving skills, especially in complex AI workflows.
- Excellent communication skills with the ability to explain technical concepts clearly to non-technical audiences.
- Experience acting in an L25 role or similar, owning escalations and bridging between support and engineering teams.
- Proactive, resourceful, and comfortable working across time zones.
- Strong documentation and knowledge management skills.
Preferred Skills
- Experience working in a technology support or AI advisory role.
- Familiarity with AI integration platforms (e.g., n8n, Zapier, Workato, or workflow automation tools).
- Exposure to prompt engineering best practices.
Work Location: Hyderabad
Work Hours: US Time Zone Active until 300 PM PST
Equal Opportunity Statement
We are committed to diversity and inclusivity.
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Data Science Manager
Posted 2 days ago
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Job Description
Research Manager – Machine Learning (RESEARCH SCIENCES)
About Data Sciences Group at Flipkart:
The Data Sciences team at Flipkart is on a mission to build systemic intelligence across Flipkart products and the overarching ecosystem. Being India’s largest online marketplace and the most used e-commerce app in India, places Flipkart in a unique vantage position and gives this team a distinctive opportunity — to decipher the richest possible data about Indian consumers. Add the dimension of a vast product selection and a proliferating seller base to that and what you get is a multitude of disruptive possibilities.
In a nutshell, the terabytes of daily data compounded in Flipkart’s data centers offer a dynamic mix of numerical, structured, unstructured, image- and audio-based statistics, all set to define shopping in the future.
What this job entails:
As a leader in the space of Data Science, you will lead a team of highly qualified professionals, within the context of a functional unit, with expertise in areas of Machine Learning & Artificial Intelligence. Your team will comprise of Data Scientists. Your primary responsibility will be to strategize and guide the application of data sciences, and leverage data capabilities to drive Flipkart’s Business Value Proposition. In simpler terms, you will help build intelligence across Flipkart products. In this role, you will:
- Closely work with the Data Science team to formulate data-led solutions and models
- Use advanced Machine Learning techniques to enable key business goals
- Be a strong proponent of the customer and the business, with the capability to drive efficiency and productivity, and enable automation across the spectrum
- Should have thorough understanding of key AI and ML techniques — If not all — spanning Predictive Modelling, NLP, Text Mining, Classification, Regression, Deep Learning, etc.
Key Roles & Responsibilities:
The Flipkart Data Science team applies capabilities across numerous business problem statements within the e-commerce ecosystem. The application extends across Customer Experience, Supply-Chain, Engineering, Cataloguing and other critical scenarios, with solutions designed around discovery, personalization, intent modelling, demand shaping and planning, insights, sentiment prediction, response matching, fulfilment automation, last-mile optimization, fraud modelling and search—all of which just form the tip of the iceberg. In this role, you will be responsible to:
- Help the Data Science team of the functional unit to formulate and architect future AI / ML models for Flipkart Products
- Guide teams through decisions around applying Data Science and Data Modelling techniques to drive innovation, efficiency productivity and automation within Flipkart’s ecosystem
- Ensure timely deployment of models in a high-pace business, large-scale production environment
- Coach the Data Science team on various challenges and trade-offs in developing models that can accurately employ real data
- Build deep partnerships with business, product management, and technology leaders
- Lead, hire, manage and mentor a team of highly qualified Data Scientist, Data Engineers, Software Engineers ML and Research Scientists
- Help develop systems-driven framework for tracking the quality, consistency, applicability and performance of data inputs and outcomes
- Build and leverage tools that allow for democratization and easy consumption and analysis of data across the organization.
Our Associations & Collaborations:
Associations and collaborations: The Flipkart Data Science team is also leveraging partnerships with Indian and foreign universities — like CMU, IIT's, IISc and IIIT’s — for developing class-leading solutions in the e-commerce sector.
At Flipkart, the work of a Data Scientist involves collaboration with the engineering and product teams to ensure a holistic outcome at the product delivery. The flat functional structure within Flipkart engineering enables data scientists to focus on excellence and create a deep sense of ownership at every stage of work.
Basic Qualification:
Education Qualification: B.Tech / M.Tech in CS/ML/AI Statistics with demonstrable experience through publications / deployed solutions / projects.
Should have formally managed small/large teams of DS, data Engineers with DS capabilities for at least 2-4 Yrs.
Strong technical skills in machine learning/AI, including optimization, simulation, regression techniques, neural networks, decision trees, cluster analysis, pattern recognition, probability theory, stochastic systems, Bayesian inference, and statistical techniques.
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Data Science Apprentice
Posted 10 days ago
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Key Responsibilities:
- Assist in data collection, cleaning, and transformation processes.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Support the development and implementation of data models and machine learning algorithms.
- Create data visualizations and reports to communicate findings.
- Learn and apply statistical and mathematical concepts to data analysis.
- Collaborate with senior data scientists on various projects.
- Assist in the maintenance and improvement of data pipelines.
- Contribute to documentation of data processes and methodologies.
- Participate in team meetings and learning sessions.
- Develop basic proficiency in data analysis tools and programming languages.
Qualifications:
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong interest and passion for data science and analytics.
- Basic understanding of statistics, mathematics, and programming concepts.
- Familiarity with Python or R is a plus.
- Analytical mindset and problem-solving abilities.
- Excellent communication and teamwork skills.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work effectively in a hybrid work environment.
Data Science Intern
Posted 10 days ago
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Job Description
NLP Data Science Intern
Did you notice a shortage of food at supermarkets during covid? Have you heard about the recent issues in the global shipping industry? or perhaps you've heard about the shortages of microchips? These problems are called supply chain disruptions. They have been increasing in frequency and severity. Supply chain disruptions are threatening our very way of life.
Our vision is to advance society's capacity to withstand shocks and stresses. Kavida.ai believes the only way to ensure security is through supply chain resiliency. We are on a mission to help companies proactively manage disruption supply chain disruption risks using integrated data.
Our Story
In March 2020 over 35 academics, data scientists, students, and software engineering volunteers came together to address the food shortage issues caused by the pandemic - A core team of 9 was formed and spun off into a startup and the rest is history.
Our investors include one of the world's largest supply chain quality & compliance monitoring companies, a £1.25bn apparel manufacturer, and some very impressive angel investors.
Social Impact:
Social impact is in our DNA. We believe private sector innovation is the only way to address social problems at scale. If we achieve our mission, humanity will always have access to its essential goods for sustenance. No more shortages of food, PPE, medicine, etc.
Our Culture :
Idea Meritocracy:
The best ideas win. We only care about what is right, not who is right. We know arriving at the best answer requires constructive tension. Sometimes it can get heated but it's never personal. Everyone contributes to better ideas knowing they will be heard but also challenged.
Drivers Not Passengers:
We think as owners who drive the bus, not as passengers. We are self-starters and never wait for instructions. We are hungry for autonomy, trust, and responsibility. Everyone is a leader because we know leadership is a trait, not a title. Leaders drive growth and navigate the chaos.
We Figure Out The Answers:
We trust our ability to figure stuff out. We do not need all the information to start answering the question. We can connect the dots and answer difficult questions with logic.
Customer & Mission Obsessed:
Our customers are our heroes and we are obsessed with helping them. We are obsessed with; understanding their supply chains better, resolving their biggest headaches, and advancing their competitiveness.
Learning and growth
We all take personal responsibility for becoming smarter, wiser, more skilled, happier. We are obsessed with learning about our industry and improving our own skills. We are obsessed with our personal growth; to become more.
Job Description:
As a member of our Research team, you will be responsible for researching, developing, and coding Agents using state-of-the-art LLM's with automated pipelines.
- Write code for the development of our ML engines and micro-services pipelines.
- use, optimize, train, and evaluate state-of-the-art GPT models.
- research and Develop Agentic pipelines using LLM's.
- research and develop RAG based pipeline using vector DB's .
Essential Requirements:
- prompt engineering and Agentic LLm frameworks like langchain/llama index
- good enough undersanding of vectors/tensors and RAG pipelines
- Knowledge of building NLP systems using transfer learning or building custom NLP systems from scratch using TensorFlow or PyTorch.
- In-depth knowledge of DSA, async, python, and containers.
- Knowledge of transformers and NLP techniques is essential, and deployment experience is a significant advantage.
Salary Range: 15000 - 25000
We are offering a full-time internship position to final-year students. The internship will last for an initial period of 6-12 months before converting to a full-time job, depending on suitability for both parties. If the applicant is a student who needs to return to university, they can continue with the program on a part-time basis.
Data Science Specialist
Posted today
Job Viewed
Job Description
We are looking for a hands-on leader with expertise in Generative AI and enterprise AI chat technologies who can serve as an L25 support layer bridging the gap between frontline support L2 and deep technical experts L3. This person will act as the first point of escalation for AI related technical questions, ensure quality in responses, and coordinate with global colleagues to resolve complex queries. This role is part technical support, part advisory, ensuring internal teams have the right AI tools, workflows, and knowledge to work effectively.
Responsibilities
Serve as the primary point of contact for escalated technical queries related to Generative AI (GenAI), the internal enterprise AI chat solution, and AI assisted workflows.
Provide direct technical assistance and guidance to users; escalate to and collaborate with L3 subject matter experts when necessary.
Ensure accuracy, consistency, and quality in responses provided to internal teams.
Document solutions, best practices, and repeatable workflows for common queries.
Monitor and analyze support requests to identify training opportunities, system improvements, or process optimizations.
Stay updated on emerging AI tools, prompt engineering techniques, and integration capabilities.
Required Skills
Proven experience in Generative AI technologies, including enterprise AI chat solutions (e.g., Azure OpenAI, Anthropic Claude, Google Gemini, or custom internal AI chat platforms).
Strong technical troubleshooting and problem-solving skills, especially in complex AI workflows.
Excellent communication skills with the ability to explain technical concepts clearly to non-technical audiences.
Experience acting in an L25 role or similar, owning escalations and bridging between support and engineering teams.
Proactive, resourceful, and comfortable working across time zones.
Strong documentation and knowledge management skills.
Preferred Skills
Experience working in a technology support or AI advisory role.
Familiarity with AI integration platforms (e.g., n8n, Zapier, Workato, or workflow automation tools).
Exposure to prompt engineering best practices.
Work Location: Hyderabad
Work Hours: US Time Zone Active until 300 PM PST
Equal Opportunity Statement
We are committed to diversity and inclusivity.
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