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ai engineer

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 Salary range: Rs 600000 - Rs 800000 (ie INR 6-8 LPA)
 
 
 
 Min Experience: 0 years
 
 
 Location: Bangalore
 
 
 JobType: full-time
 
 
 We are looking for a passionate and motivated
 
 AI Engineer
 
 to join our growing team. This role is ideal for individuals who are eager to build a career in artificial intelligence and machine learning. You will work closely with data scientists, engineers, and product teams to design, develop, and deploy AI-driven solutions that power intelligent products and business applications.
 
 
 You will contribute to projects across various AI domains &mdash; including natural language processing (NLP), computer vision, recommendation systems, and predictive analytics &mdash; while continuously learning and applying state-of-the-art algorithms and tools.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 AI Model Development: Design, implement, and train machine learning and deep learning models to solve business problems across different use cases.
 </li>
 <li>
 Data Preparation &amp; Feature Engineering: Work with large and diverse datasets to collect, clean, preprocess, and transform data for model training and evaluation.
 </li>
 <li>
 Algorithm Optimization: Experiment with different algorithms, hyperparameters, and architectures to improve model performance and efficiency.
 </li>
 <li>
 Model Deployment &amp; Integration: Collaborate with backend and DevOps teams to deploy AI models into production using frameworks like TensorFlow Serving, PyTorch, ONNX, or Docker.
 </li>
 <li>
 Research &amp; Innovation: Stay up to date with advancements in AI research and tools. Apply innovative techniques from recent papers, open-source projects, or frameworks to improve business processes.
 </li>
 <li>
 Cross-Functional Collaboration: Work with product managers and software engineers to understand business requirements and translate them into technical solutions.
 </li>
 <li>
 Performance Monitoring: Evaluate models on real-world data, monitor drift, and continuously fine-tune and retrain models to maintain accuracy and reliability.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or related field.
 </li>
 <li>
 0-3 years of hands-on experience in machine learning, AI development, or data-driven software engineering.
 </li>
 <li>
 Proficiency in programming languages such as Python (preferred) or R, with experience using libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Strong understanding of machine learning algorithms, neural networks, data preprocessing, and statistical analysis.
 </li>
 <li>
 Experience with model evaluation metrics, data visualization tools (Matplotlib, Seaborn, Power BI), and version control systems like Git.
 </li>
 <li>
 Basic understanding of cloud platforms such as AWS, GCP, or Azure, especially their AI/ML services.
 </li>
 <li>
 Familiarity with APIs, REST frameworks, and data pipelines is a plus.
 </li>
 <li>
 Excellent problem-solving ability, curiosity, and eagerness to learn emerging AI technologies.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Exposure to NLP (transformers, text classification, embeddings) or Computer Vision (CNNs, object detection).
 </li>
 <li>
 Internship or project experience involving AI/ML model deployment or end-to-end data workflows.
 </li>
 <li>
 Knowledge of MLOps tools (e.g., MLflow, Kubeflow) or containerization using Docker
 </li>
 </ul>
</div>

AI Engineer

RingCentral

<div>
 
 
 Job Description:
 
 
 
 We are seeking an experienced AI Engineer with a strong background in Natural Language Understanding (NLU) who is passionate about pushing the boundaries of Conversational AI. In this role, you will design, develop, and deploy scalable AI solutions leveraging LLMs, Retrieval-Augmented Generation (RAG), and prompt engineering techniques to power intelligent products and services.
 
 
 As part of our ML/AI team, you&rsquo;ll own the full lifecycle of model development &mdash; from data preparation and fine-tuning to inference optimization and deployment in production environments.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design, fine-tune, and deploy LLM-based applications for Conversational AI use cases
 </li>
 <li>
 Build scalable retrieval-augmented generation (RAG) pipelines that combine LLMs with structured/unstructured data sources
 </li>
 <li>
 Develop prompt engineering strategies, templates, and evaluation frameworks for LLM-driven workflows
 </li>
 <li>
 Collaborate with cross-functional teams to identify and implement AI-driven solutions to business problems
 </li>
 <li>
 Optimize models for low-latency inference using quantization, distillation, and other model optimization techniques (e.g., ONNX, TensorRT)
 </li>
 <li>
 Build robust data processing, labeling, and augmentation pipelines to improve model performance
 </li>
 <li>
 Implement monitoring and evaluation systems for deployed LLMs, ensuring reliability, fairness, and safety
 </li>
 <li>
 Stay current with emerging trends in LLMs, retrieval systems, and generative AI frameworks
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 1-4 years of hands-on experience in NLP/LLM.
 </li>
 <li>
 Strong proficiency in Python and PyTorch and related frameworks (like Hugging Face Transformers, Sentence Transformers etc.)
 </li>
 <li>
 Proven experience developing and deploying NLP or LLM pipelines in production environments at scale
 </li>
 <li>
 Solid understanding of transformer architectures and attention mechanisms
 </li>
 <li>
 Proficiency in using LLM provider APIs such as OpenAI, Gemini etc.including prompt design, fine-tuning, and evaluation
 </li>
 <li>
 Experience with model optimization techniques such as quantization, pruning, ONNX, TensorRT, or model distillation
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field
 </li>
 </ul>
 
 
 
 
 
 Nice to Have:
 
 
 <ul>
 <li>
 Hands-on experience with RAG and vector databases (e.g., FAISS, Qdrant, pgVector etc. )
 </li>
 <li>
 Prior work on LLM fine-tuning, alignment, or evaluation
 </li>
 <li>
 Experience with LLM orchestration frameworks such as LlamaIndex or similar tools
 </li>
 <li>
 Familiarity with multi-provider LLM orchestration, integrating APIs from OpenAI, Gemini etc. and others for fallbacks, routing, or ensemble strategies
 </li>
 <li>
 Knowledge of MLOps for LLMs, including model serving and monitoring
 </li>
 <li>
 Understanding of embedding models, context management, and token optimization for scalable LLM applications
 </li>
 </ul>
 
 
</div>

AI/ML Engineer

<div>
 
 We help the world run better
 
 
 
 At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
 
 
 
 What You&rsquo;ll Do
 
 
 
 As a Machine Learning Engineer, you&rsquo;ll be a technical leader helping architect, scale, and harden SAP&rsquo;s next generation of generative AI services. You&rsquo;ll drive both design and implementation of ML pipelines, orchestrators, and agentic workflows&mdash;turning foundational model research into secure, production-ready enterprise solutions.
 
 
 <ul>
 <li>
 Architect and optimize ML-driven workflows for multi-agent orchestration (LangGraph) across DRP, Experience Builder, and Visual Services.
 </li>
 <li>
 Lead technical design discussions, mentor junior engineers, and set engineering standards for reliability and scale.
 </li>
 <li>
 Evaluate, fine-tune, and integrate foundation models (text, multimodal, diffusion) through SAP&rsquo;s GenAI Hub and third-party providers (e.g., Amazon Bedrock).
 </li>
 <li>
 Design evaluation frameworks and dashboards for quality, safety, and enterprise trust in generative outputs.
 </li>
 <li>
 Partner with product teams to define roadmaps and deliver features that serve Sales, Marketing, Finance, HR, and beyond.
 </li>
 <li>
 Collaborate with cross-functional SAP AI teams on shared infrastructure, governance, and interoperability.
 </li>
 <li>
 Stay at the forefront of ML/AI trends and bring best practices into the team&rsquo;s architecture and execution.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 3+ years of professional experience in machine learning engineering, software engineering, or applied research roles.
 </li>
 <li>
 Deep proficiency in Python and familiarity with Go/TypeScript; experience with distributed systems and orchestration frameworks.
 </li>
 <li>
 Strong background in ML/AI, including large language models, embeddings, RAG, and/or multimodal generation.
 </li>
 <li>
 Hands-on experience with cloud-native infrastructure (Kubernetes, AWS/Azure) and modern data stores (Postgres, Cassandra, vector DBs).
 </li>
 <li>
 Proven track record of delivering production AI systems at scale.
 </li>
 <li>
 Strong problem-solving skills and ability to balance innovation with enterprise-grade reliability.
 </li>
 <li>
 Experience mentoring engineers and shaping engineering culture
 
 
 </li>
 </ul>
 
 Meet The Team
 
 
 
 The Experience Generation team at SAP accelerates the path from idea to outcome with three generative-AI services: Deep Research &amp; Planning (strategic plans from enterprise + market data), Experience Builder (AI-forged dashboards and micro-apps), and Visual Services (commerce imagery via diffusion). Together they deliver business value across all SAP lines of business, grounded in governed enterprise data and brand standards.Our platform blends a React/Next.js frontend, a Python + FastAPI backend orchestrating LangGraph sub-agents, and a Gardener-managed Kubernetes runtime. With Postgres, Cassandra, HANA Cloud vector engines, and SAP&rsquo;s Generative AI Hub for model governance, we provide an enterprise-grade substrate for controllable, scalable AI workflows
 
 
 At SAP, senior engineers have the chance to define architecture and strategy for some of the world&rsquo;s most impactful enterprise AI services. You&rsquo;ll shape how businesses plan, build, and visualize with AI&mdash;while working with a collaborative team, trusted cloud platforms, and the latest foundation models. Your leadership will ensure SAP&rsquo;s AI innovations scale securely, reliably, and responsibly
 
 
 #sapaiapp
 
 
 
 Bring out your best
 
 
 
 SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
 
 We win with inclusion
 
 
 
 SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
 
 
 SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
 
 
 For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
 
 
 Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
 
 
 Successful candidates might be required to undergo a background verification with an external vendor.
 
 
 
 AI Usage in the Recruitment Process
 
 
 
 For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
 
 
 Please note that any violation of these guidelines may result in disqualification from the hiring process.
 
 
 Requisition ID: 434895 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
 
 
</div>

Machine Learning Engineer

PwC Acceleration Center India

<div>
 
 PwC AC is hiring for Data scientist
 
 
 Apply and get a chance to work with one of the Big4 companies #PwC AC.
 
 
 
 
 
 
 Job Tit
 
 le
 
 :
 
 Data scientist
 
 
 
 Years of Experienc
 
 e: 3-7 years
 
 
 
 Shift Timin
 
 gs: 11AM-8PM
 
 
 
 Qualificati
 
 on: Graduate and above(Full time)
 
 
 
 
 
 
 About PwC CTIO &ndash; AI Engineering
 
 
 
 PwC&rsquo;s
 
 Commercial Technology and Innovation Office (CTIO)
 
 is at the forefront of emerging technology, focused on building transformative AI-powered products and driving enterprise innovation. The
 
 AI Engineering
 
 team within CTIO is dedicated to researching, developing, and operationalizing cutting-edge technologies such as Generative AI, Large Language Models (LLMs), AI Agents, and more. Our mission is to continuously explore what's next&mdash;enabling business transformation through scalable AI/ML solutions while remaining grounded in research, experimentation, and engineering excellence.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a
 
 Senior Associate &ndash; Data Science/ML/DL/GenAI
 
 to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team&rsquo;s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases.
 </li>
 <li>
 Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments.
 </li>
 <li>
 Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes.
 </li>
 <li>
 Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs.
 </li>
 <li>
 Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives.
 </li>
 <li>
 Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions.
 </li>
 <li>
 Conduct R&amp;D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics.
 </li>
 <li>
 Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team&rsquo;s work.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 
 3 to 7 years
 
 of experience in Data Science/ML/AI roles.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA).
 </li>
 <li>
 Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc.
 </li>
 <li>
 Hands-on experience with
 
 Generative AI
 
 , including prompt engineering, LLM fine-tuning, and deployment.
 </li>
 <li>
 Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows.
 </li>
 <li>
 Strong knowledge of NLP techniques, transformer architectures, and text analysis.
 </li>
 <li>
 Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered).
 </li>
 <li>
 Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch)
 </li>
 <li>
 Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc.
 </li>
 <li>
 Exposure to deploying AI models via APIs and integration into larger data ecosystems.
 </li>
 <li>
 Strong understanding of model operationalization and lifecycle management.
 </li>
 </ul>
 
 
 
 
 
 Good to Have
 
 
 <ul>
 <li>
 Experience with Docker, Kubernetes, and containerized deployments for ML workloads.
 </li>
 <li>
 Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.).
 </li>
 <li>
 Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js).
 </li>
 <li>
 Demonstrated track record of delivering AI-driven solutions as part of large-scale systems.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills &amp; Team Expectations
 
 
 <ul>
 <li>
 Strong written and verbal communication; able to explain complex models to business stakeholders.
 </li>
 <li>
 Ability to independently document work, manage requirements, and self-drive technical discovery.
 </li>
 <li>
 Desire to innovate, improve, and automate existing processes and solutions.
 </li>
 <li>
 Active contributor to team knowledge sharing, technical forums, and innovation drives.
 </li>
 <li>
 Strong interpersonal skills to build relationships across cross-functional teams.
 </li>
 <li>
 A mindset of continuous learning and technical curiosity.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 (at least two are preferred)
 
 
 
 <ul>
 <li>
 Certifications in Machine Learning, Deep Learning, or Natural Language Processing.
 </li>
 <li>
 Python programming certifications (e.g., PCEP/PCAP).
 </li>
 <li>
 Cloud certifications (Azure/AWS/GCP) such as Azure AI Engineer, AWS ML Specialty, etc.
 </li>
 </ul>
 
 
 
 
 
 Why Join PwC CTIO?
 
 
 <ul>
 <li>
 Be part of a mission-driven AI innovation team tackling industry-wide transformation challenges.
 </li>
 <li>
 Gain exposure to bleeding-edge GenAI research, rapid prototyping, and product development.
 </li>
 <li>
 Contribute to a diverse portfolio of AI solutions spanning pharma, finance, and core business domains.
 </li>
 <li>
 Operate in a startup-like environment within the safety and structure of a global enterprise.
 </li>
 <li>
 Accelerate your career as a deep tech leader in an AI-first future.
 </li>
 </ul>
</div>

Data Scientist

Sony India

<div>
 We are looking for an experienced AI/ML Engineer, who can execute projects end to end and take then to production pipeline. The candidate is expected to lead the AI/ML work across multiple projects, working along with other ML Engineers , ensuring clear understanding and translation of requirements for the team and proposing optimized solutions. He / She would also need to work on Ad hoc timebound POC&rsquo;s.
 
 
 Capability building and team upskill would also be expected from him / her. We would want him / her to share the knowledge with other team members and bring them up to the same level , which includes conducting learning sessions across teams and monitoring the progress of the team members.
 
 
 <ul>
 <li>
 Design and develop various machine learning and deep learning models and systems for high impact consumer applications ranging from predictive safety, content personalization&rsquo;s, search, virtual assistant, time series forecasting and more.
 </li>
 <li>
 Work with a broad spectrum of state-of-the-art machine learning and deep learning technologies, in the areas of various machine learning problems such as multilingual text classification, language modelling and multi-modal learning.
 </li>
 <li>
 Create metrics and configure A/B testing to evaluate model performance offline and online to inform and convey our impacts to diverse groups of stakeholders.
 </li>
 <li>
 Analyse and produce insights from a large amount of dynamic structured and unstructured data using modern big data and streaming technologies
 </li>
 <li>
 Produce reusable code according to standard methodologies in Python, Scala or Java
 </li>
 <li>
 Collaborate with cross-functional teams of technical members and non-technical members in architecture, design, and code reviews.
 
 
 </li>
 </ul>
 Strong Python programming skills
 
 
 
 [Good to have Skills]:
 
 
 
 <ul>
 <li>
 SQL, Data Analysis , Gaming Industry knowledge
 </li>
 </ul>
</div>

ML Engineer

Publicis Sapient

<div>
 
 
 Role:
 
 Senior Associate &ndash; Data Science &amp; Machine Learning
 
 
 
 Experience:
 
 5 to 8 Years
 
 
 
 Work Mode:
 
 Hybrid (3 days office per week)
 
 
 
 Location:
 
 Gurugram (GGN)/Bengaluru (BEN)
 
 
 
 Notice Period:
 
 
 Immediate to 2 weeks ONLY
 
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 
 
 
 About the Role
 
 
 
 We are seeking an experienced
 
 Data Science &amp; Machine Learning Engineer
 
 who can design, build, and deploy advanced ML and AI-driven solutions. This role demands deep technical expertise in ML algorithms, deep learning architectures, LLMs, and model operationalization on cloud platforms.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build predictive models using classification, regression, clustering, and time-series techniques.
 </li>
 <li>
 Perform feature engineering, algorithm selection, hyperparameter tuning, and model evaluation.
 </li>
 <li>
 Build
 
 deep learning models
 
 using PyTorch or TensorFlow (CNNs, RNNs, transformers).
 </li>
 <li>
 Develop
 
 GenAI applications
 
 using embeddings, LLMs, prompt engineering, RAG pipelines, LangChain, LlamaIndex, HuggingFace models.
 </li>
 <li>
 Design and implement
 
 end-to-end ML pipelines
 
 from ingestion to deployment.
 </li>
 <li>
 Build scalable data pipelines and work with cloud-based ML platforms (AWS/GCP/Azure ML).
 </li>
 <li>
 Deploy, monitor, and maintain ML models using
 
 MLOps tools
 
 and CI/CD workflows.
 </li>
 <li>
 Work closely with product and engineering teams to integrate ML solutions.
 </li>
 </ul>
 
 
 
 
 
 Must-Have Skills
 
 
 <ul>
 <li>
 Strong fundamentals:
 
 Statistics, Probability, Linear Algebra, Optimization
 
 </li>
 <li>
 Machine Learning:
 </li>
 <li>
 Classification, Regression, Clustering
 </li>
 <li>
 Model evaluation (AUC, F1, Recall, ROC curves)
 </li>
 <li>
 Cross-validation, bias-variance trade-off
 </li>
 <li>
 Deep Learning:
 </li>
 <li>
 CNNs, RNNs, Transformers
 </li>
 <li>
 Hands-on PyTorch / TensorFlow
 </li>
 <li>
 GenAI &amp; NLP:
 </li>
 <li>
 LLMs (GPT, LLaMA, Claude, etc.)
 </li>
 <li>
 Embeddings, RAG, vector databases
 </li>
 <li>
 Prompt engineering, model fine-tuning
 </li>
 <li>
 Programming:
 </li>
 <li>
 
 Python (NumPy, Pandas, Scikit-learn)
 
 </li>
 <li>
 
 PyTorch/TensorFlow
 
 </li>
 <li>
 
 SQL
 
 </li>
 <li>
 MLOps:
 </li>
 <li>
 CI/CD
 </li>
 <li>
 Model deployment &amp; monitoring
 </li>
 <li>
 Lifecycle management
 </li>
 <li>
 Version control (Git) and cloud ML platforms (AWS/GCP/Azure)
 </li>
 </ul>
 
 
 
 
 
 Good to Have
 
 
 <ul>
 <li>
 Experience with Hugging Face models
 </li>
 <li>
 Knowledge of Docker/Kubernetes
 </li>
 <li>
 Exposure to reinforcement learning
 </li>
 <li>
 Experience with A/B testing or experimentation frameworks
 </li>
 </ul>
 
 
 
 
 
 Required Candidate Information
 
 
 
 (For screening &ndash; mandatory)
 
 <ul>
 <li>
 Total Experience
 </li>
 <li>
 Relevant DS/ML Experience
 </li>
 <li>
 Current CTC
 </li>
 <li>
 Expected CTC
 </li>
 <li>
 Notice Period (
 
 Immediate &ndash; 2 weeks only
 
 )
 </li>
 <li>
 Current Location
 </li>
 <li>
 Preferred Location
 </li>
 <li>
 LinkedIn Profile URL
 </li>
 </ul>
 
 
 
 
 
 How to Apply
 
 
 
 Send your updated CV to:
 
 
 📩
 
 Vijay.S@xebia.com
 
 
</div>

Senior Associate – Data Science & Machine Learning

Tide

<div>
 
 About Tide
 
 
 
 At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
 
 
 Tide is transforming the small business banking market with over 1.6 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to help SMEs save both time and money.
 
 
 
 Tide Facts
 
 
 
 <ul>
 <li>
 Tide is available for UK, Indian, German and French SMEs
 </li>
 <li>
 Over 1.6 million members: 800,000 UK and 800,000 in India and growing rapidly
 </li>
 <li>
 Over $200 million raised in funding
 </li>
 <li>
 Over 2500 Tideans globally - we&rsquo;re diversity champions!
 </li>
 <li>
 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, India
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 A talented Data Scientist (DS-3) with generative AI expertise to contribute to the development and implementation of advanced AI solutions. You'll work on generative AI projects, applying your skills in LangChain, LangGraph, SQL, Python, AWS Bedrock, and Databricks to solve business challenges as part of our innovative team.
 
 
 
 As a Lead Data Scientist You&rsquo;ll Be
 
 
 
 <ul>
 <li>
 Implementation &amp; Development: Implement generative AI solutions leveraging AWS Bedrock and Databricks based on established architectural patterns
 </li>
 <li>
 Technical Execution: Apply your expertise in generative AI, LLMs, and related technologies to deliver high-quality solutions
 </li>
 <li>
 Cross-Functional Collaboration: Work with product, engineering, and business teams to understand requirements and implement effective AI solutions Statistical Analysis: Apply appropriate statistical methods to validate models and hypotheses
 </li>
 <li>
 Data Analysis: Conduct thorough exploratory data analysis and handle data quality issues effectively Feature Engineering: Implement feature engineering techniques for ML models, including dimensionality reduction and feature selection
 </li>
 <li>
 Model Development: Build and tune generative AI models using frameworks like LangChain and LangGraph with proper regularization techniques
 </li>
 <li>
 Intent Classification: Implement intent detection systems combining LLMs with data analysis techniques
 </li>
 <li>
 Response Generation: Develop components for generating structured responses by combining AI with business rules
 </li>
 <li>
 Continuous Learning: Stay current with generative AI techniques and apply new approaches to improve solutions
 </li>
 <li>
 Documentation &amp; Knowledge Sharing: Create clear documentation and share knowledge with team members
 </li>
 <li>
 Testing &amp; Validation: Thoroughly test generative AI applications to ensure they meet requirements and quality standards
 
 
 </li>
 </ul>
 
 What Are We Looking For
 
 
 
 <ul>
 <li>
 6+ years of experience in data science, machine learning, or related field 1+ years of hands-on experience with generative AI, large language models (LLMs), or natural language processing
 </li>
 <li>
 Experience with traditional NLP models and techniques Strong proficiency in Python and SQL for data retrieval and processing
 </li>
 <li>
 Solid understanding of statistics, hypothesis testing, and probability distributions
 </li>
 <li>
 Experience with LangChain, LangGraph for implementing AI workflows
 </li>
 <li>
 Understanding of prompt engineering, RAG (Retrieval Augmented Generation), and fine-tuning techniques for LLMs Experience implementing intent detection systems using generative AI Familiarity with rule-based systems to augment AI capabilities
 </li>
 <li>
 Experience with cloud platforms, particularly AWS services
 </li>
 <li>
 Familiarity with Knowledge Graphs for LLM use cases
 </li>
 <li>
 Knowledge of evaluation approaches for generative AI outputs
 </li>
 <li>
 Experience with Databricks or similar data processing platforms
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Advanced degree in Computer Science, Data Science, Machine Learning, or related field
 </li>
 <li>
 Experience in customer support AI applications Knowledge of vector databases and embedding techniques
 </li>
 <li>
 Familiarity with semantic search technologies
 </li>
 <li>
 Experience with data pipelines and ETL processes
 </li>
 <li>
 Knowledge of software development best practices including version control
 </li>
 <li>
 Contributions to data science or AI projects or communities
 
 
 </li>
 </ul>
 
 What You Will Get In Return
 
 
 
 Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you&rsquo;ll get:
 
 
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 Competitive salary
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 Self &amp; Family Health Insurance
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 Term &amp; Life Insurance
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 OPD Benefits
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 Mental wellbeing through Plumm
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 Learning &amp; Development Budget
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 WFH Setup allowance
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 15 days of Privilege leaves
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 12 days of Casual leaves
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 12 days of Sick leaves
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 3 paid days off for volunteering or L&amp;D activities
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 Stock Options
 
 
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 TIDEAN WAYS OF WORKING
 
 
 At Tide, we champion a
 
 flexible workplace
 
 model that supports both in-person and remote work to cater to the specific needs of our different teams.
 
 
 While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
 
 
 TIDE IS A PLACE FOR EVERYONE
 
 
 At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members&rsquo; diverse needs and lives.
 
 
 We are One Team and foster a transparent and inclusive environment, where everyone&rsquo;s voice is heard.
 
 
 
 At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone&rsquo;s voice is heard.
 
 
 
 
 Disclaimer
 
 
 
 It Has Come To Our Attention That Individuals Or Agencies Are Falsely Claiming To Represent Tide And Are Reaching Out To Candidates Regarding Job Opportunities. Please Be Aware That
 
 
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 Tide does not charge any fees at any stage of the recruitment process.
 </li>
 <li>
 All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
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 Communication from Tide will only come from an official @tide.co email address.
 </li>
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 Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
 
 
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 </ul>
 
 If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
 
 
 Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
 
 
 
 
 
 You personal data will be processed by Tide for recruitment purposes and in accordance with
 
 
 Tide's Recruitment Privacy Notice
 
 
 .
 
 
</div>

Lead Data Scientist(Gen AI)

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