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

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

Senior Full Stack Gen AI Engineer

We are hiring a Senior Full Stack Gen AI Engineer! Supporting: Large Financial S...

Location

United States , McLean

Salary:

80.00 - 102.51 USD / Hour

Apex Systems

Expiration Date

Until further notice

Requirements

Advanced expertise with Angular (UI development)
Strong Python development experience in microservices architectures
Hands-on experience with AWS and Kubernetes (EKS)
10+ years of full stack engineering experience
3+ years of applied AI/ML or Gen AI experience
Proven experience designing and deploying enterprise-grade applications
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field

Job Responsibility

Architect, design, and implement scalable Full Stack Gen AI applications, including AI Agents and Agentic Workflows
Build and maintain performant, user-friendly Angular front ends
Design and develop Python microservices that orchestrate AI workflows and model integrations
Deploy and operate services on AWS (EKS/Kubernetes) using cloud-native practices
Integrate ML models such as LLMs, RAG pipelines, and multimodal AI into production systems
Develop and maintain RESTful APIs to support seamless application communication
Apply modern design patterns, secure coding standards, and best practices for microservices and UI development
Partner with cross-functional teams (Gen AI scientists, UX, data, product) to deliver end-to-end Gen AI experiences
Implement evaluation frameworks, validation strategies, bias mitigation, safety controls, and guardrails for production-ready AI deployments

What we offer

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
ESPP (employee stock purchase program)
401K program with company match
HSA (Health Savings Account)
SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions
Corporate discount savings program

Fulltime