Data Scientist & Gen AI Job at Vodafone (Pune)

Senior Data Scientist

Senior Data Scientist role in the Technology Enablement Office, playing a pivota...

Location

Greece , Athens

Salary:

Not provided

Metlen Group

Expiration Date

Until further notice

Requirements

5+ years of experience in data science with a strong focus on predictive modeling
Bachelor in Computer Science, Data Science, Statistics, or a related field
Master's or PhD degree is a plus
Proven expertise in designing, deploying, and evaluating machine learning models
Solid background in feature engineering, model selection, hyperparameter tuning, and performance evaluation
Strong programming skills in Python, R, or similar languages
Experience with ML frameworks and understanding of Gen-AI technologies
Hands-on experience with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch

Job Responsibility

Community Building: Establish and nurture a strong internal data science community across METLEN sectors
Model Evaluation: Assess and validate AI/ML models developed internally or by external vendors
Technology Scouting: Stay updated on the latest AI and Gen-AI advancements and recommend innovative technologies
Cross-functional Collaboration: Partner with business units, IT teams, and external stakeholders to translate complex data challenges into actionable insights
Governance & Best Practices: Contribute to data science standards, model governance frameworks, and responsible AI practices

What we offer

Competitive remuneration package
Ticket Restaurant Card
Group Health Insurance Plan
Preferential household electricity plan
Pension Plan

Fulltime

Data Scientist - Digital

Our Global Data & Analytics (D&A) team is the hub of harvesting and analyzing da...

Location

United States

Salary:

75000.00 - 85000.00 USD / Year

Abercrombie & Fitch Co.

Expiration Date

Until further notice

Requirements

Bachelor's Degree or related experience
Proficiency in SQL, Python, and R
Familiarity with big data platforms, cloud-based ML/AI services, and MLOps best practices
Experience using foundational text/vision/multimodal models, finetuning foundational models and familiarity with generative AI frameworks (e.g., Hugging Face, Google Vertex AI, Azure AI foundry, LangChain) is highly desirable
Strong communication skills, with the ability to explain complex technical concepts to both technical and business audiences
Highly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed
Commitment to continuous learning and professional growth in the rapidly evolving field of digital and Gen AI analytics
Must perform well in high pressure situations, balance competing priorities, and demonstrate the ability to work without direct supervision

Job Responsibility

Design and implement innovative machine learning and Gen AI solution for product and content discovery, personalization and customer engagement
Develop and deploy generative AI solutions (e.g., language and vision models, agentic AI) to enhance and automate digital experiences
Build predictive models (propensity, lifetime value, customer affinity, churn, etc.) and recommender systems tailored for e-commerce
Apply advanced modeling techniques, including classification, generalized linear models, decision trees, time series forecasting, clustering, survival analysis, deep learning, and transformer-based architectures
Integrate new data sources (internal and external) and modalities (clickstream, text, images, audio) into ML and Gen AI pipelines
Identify and capitalize on opportunities to increase conversion rates, reduce costs, and drive revenue through data-driven solutions
Serve as an advanced analytics subject matter expert (SME) for the broader analytics team
Identify cross-channel and cross-platform optimization opportunities for customer, product, market, promotions, and pricing strategies
Champion data-informed decision-making and proactively seek innovative ways to leverage data and analytics
Ensure data integrity and a single source of truth

What we offer

Incentive bonus program
401(K) savings plan with company match
Annual companywide review process
Flexible spending accounts
Medical, dental and vision insurance
Life and disability insurance
Associate assistance program
Paid parental and adoption leave
Access to fertility and adoption benefits through Carrot
Access to mental health and wellness app, Headspace

Fulltime

Data Scientist

The FX Data Analytics & AI Technology team, within Citi's FX Technology organiza...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

12 to 18 years experience
Master’s degree or above (or equivalent education) in a STEM discipline
Proven experience in software engineering and development, and a strong understanding of computer systems and how they operate
Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualization and API libraries (matplotlib, plotly, streamlit, Flask, etc)
Understanding of Gen AI models, Vector databases, Agents and follow the market trends
Experience developing and implementing quantitative models from data in a financial context
Proficiency working with version control systems such as Git, and familiarity with Linux computing environments
Experience working with different database and messaging technologies such as SQL, KDB, MongoDB, Kafka, etc
Familiarity with data visualization and ideally development of analytical dashboards using Python and BI tools
Excellent communication skills, both written and verbal, with the ability to convey complex information clearly and concisely to technical and non-technical audiences

Job Responsibility

Design, develop and implement quantitative models to derive insights from large and complex FX datasets, with a focus on understanding market trends and client behavior, identifying revenue opportunities, and optimizing the FX business
Engineer data and analytics pipelines using modern, cloud-native technologies and CI/CD workflows, focusing on consolidation, automation, and scalability
Collaborate with stakeholders across sales and trading to understand data needs, translate them into impactful data-driven solutions, and deliver these in partnership with technology
Develop and integrate functionality to ensure adherence with best-practices in terms of data management, need-to-know (NTK), and data governance
Contribute to shaping and executing the overall data strategy for FX in collaboration with the existing team and senior stakeholders

What we offer

Global Benefits
We bring the best to our people. We put our employees first and provide the best-in-class benefits they need to be well, live well and save well

Fulltime

Senior Gen AI Engineer

At Citi Innovation Labs, we’re building a variety of generative AI applications ...

Location

Israel , Tel Aviv

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Proven Track Record: Demonstrated success in designing and deploying high-impact applications
Experience of leading development efforts from inception to production
Strategic and Analytical Mindset: Ability to approach challenges from a holistic perspective, balancing technical requirements with business goals
Architecture and Design Expertise: Extensive experience in system design, architectural principles, and microservices architecture
Ability to design fault tolerant, high-availability systems
Expertise with LLMs: Hands-on experience with Large Language Models and a strong interest in AI
Multi-Language Mastery: Extensive experience in at least two server-side languages (Python, Kotlin, Java, or Go) and the ability to switch languages use the best tool for the job
Inquisitive Mindset: Eager to learn, experiment, and stay updated with emerging technologies
Cloud Native & Kubernetes: Proven experience in developing and deploying microservice architecture applications using cloud-native tools, such as Kubernetes
Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience

Job Responsibility

Lead and Design Robust Systems: Take ownership of architecture and design of applications, services and libraries, ensuring scalability, resilience, and performance at an Enterprise level
Set Technical Direction: Guide technical standards, best practices, and architectural frameworks to shape the development of generative AI solutions across teams
Mentor and Grow: Provide mentorship and coaching to less experienced developers, helping to build a high-performance team
Write Excellent Code: We care deeply about the craft of code—whether it’s enhancing user experience, optimizing performance, or enhancing an API design
Collaborate Globally: Work closely with global teammates to form a high-performing software development team
Drive Innovation: Identify and experiment with emerging technologies, driving the application of AI to solve challenging business problems
Engage with Stakeholders: Collaborate with data scientists, product owners, and project stakeholders to ensure effective delivery

Fulltime

Senior Machine Learning Engineering Manager, Gen AI

We're seeking a Senior Machine Learning Manager (M60) to lead a cross-functional...

Location

United States

Salary:

193500.00 - 303150.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years in ML, search, or backend engineering roles, with 3+ years leading teams
Strong track record of shipping ML-powered or LLM-integrated user-facing products
Experience with RAG systems (vector search, hybrid retrieval, LLM orchestration)
Deep experience in either modeling (e.g., LLMs, search, NLP) or engineering (e.g., backend infra, full-stack), with the ability to lead end-to-end
Deep understanding of LLM ecosystems (OpenAI, Claude, Mistral, OSS), orchestration frameworks (LangChain, LlamaIndex), and vector databases (Weaviate, Pinecone, FAISS, etc.)
Strong product intuition and ability to translate complex tech into valuable user features
Familiarity with GenAI evaluation methods: hallucination detection, groundedness scoring, and human-in-the-loop feedback loops
Master’s or PhD in Computer Science, Machine Learning, or related field preferred—or equivalent practical experience

Job Responsibility

Lead the vision, design, and execution of LLM-powered AI products, leveraging advance AI modeling (e.g. SLM post-training/fine-tuning), RAG architectures and hybrid ranking system
Define system architecture across retrievers, rankers, orchestration layers, prompt templates, and feedback mechanisms
Work closely with product and design teams to ensure delightful, fast, and grounded user experiences
Build and manage a cross-disciplinary team including ML engineers, backend/frontend engineers, and applied scientists
Foster a culture of E2E ownership — empowering the team to move from prototype to production quickly and iteratively
Mentor individuals to grow in both technical depth and product acumen
Shape the technical roadmap and long-term strategy for GenAI search across Atlassian’s product suite
Partner with platform and infra teams to scale inference, evaluate performance, and integrate usage signals for continuous improvement
Champion data quality, grounding, and responsible AI practices in all deployed features

What we offer

health and wellbeing resources
paid volunteer days

Fulltime

Machine Learning Intern

This is an internship opportunity at Hewlett Packard Enterprise, designed as an ...

Location

Singapore , Singapore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Enrolled in University
Able to commence in January 2026
Able to commit minimum 5 months
Knowledge about Machine Learning, Deep Leaning and Gen AI

Job Responsibility

Design, develop, and implement machine learning models and algorithms to solve complex business problems
Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate ML solutions into products
Preprocess and analyze large datasets to extract meaningful insights and prepare data for modelling
Optimize and fine-tune machine learning models to enhance performance, accuracy, and efficiency
Conduct experiments and evaluate various machine learning techniques to identify the best approaches for specific use cases
Develop and maintain scalable ML pipelines and infrastructure for deploying models in production environments
Stay updated with the latest advancements in machine learning, artificial intelligence, and related technologies
Write clear, maintainable code and create comprehensive documentation for ML models and processes
Monitor and troubleshoot deployed models, ensuring they perform as expected in real-world settings
Communicate findings, progress, and results to stakeholders through reports, presentations, and visualizations

What we offer

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Specific programs to help achieve career goals
Inclusive work environment valuing individuality and diverse backgrounds

Fulltime