software engineer

ai/ml engineer

applications engineer

associate engineer

full stack engineer with gen ai Jobs in Mangaluru

full stack engineer with gen ai

nlp 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

Scoutit

<div>
 Hiring
 
 Software Engineers
 
 who bring deep expertise in Databricks, AWS Services, Cloud Platforms, and AI-driven automation. You are someone who thrives in building scalable, high-performance data platforms to improve efficiency, insights, and user experience.
 
 
 
 Salary
 
 : INR 19,00,000 - 28,00,000 / year
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop end-to-end ML pipelines with focus on production reliability.
 </li>
 <li>
 Implement robust testing and validation frameworks for ML models.
 </li>
 <li>
 Establish best practices for model versioning and reproducibility.
 </li>
 <li>
 Build and optimize production-grade ML models .
 </li>
 <li>
 Develop custom NLP solutions for text analysis and processing.
 </li>
 <li>
 Create automated model evaluation and optimization pipelines.
 </li>
 <li>
 Manage ML infrastructure on Databricks cloud platform.
 </li>
 <li>
 Ensure scalability and cost optimization of ML deployments.
 </li>
 <li>
 Maintain data quality and pipeline efficiency.
 </li>
 <li>
 Maintain security and compliance implementations for ML systems.
 
 
 </li>
 </ul>
 
 Eligibility
 
 
 
 <ul>
 <li>
 2 years of production experience in AI/ML model development, deployment, and maintenance
 </li>
 <li>
 Proven expertise with Large Language Models (LLMs) and NLP tasks
 </li>
 <li>
 Strong background in data science and cloud-based AI/ML services (Databricks preferred)
 </li>
 <li>
 Expertise in MLOps/LLMOps for scalable model deployment and management
 </li>
 <li>
 Advanced programming skills in Python, SQL, and automation frameworks
 </li>
 <li>
 Worked in Cloud Platforms: Databricks(AI-ML)
 </li>
 <li>
 MLOps/LLMOps and MLFlow
 
 
 </li>
 </ul>
 (*Note: This is a requirement for one of Scout's clients)
 
 
 Skills: llms,ml,nlp
</div>

Software Engineer

Fractal

<div>
 It's fun to work in a company where people truly BELIEVE in what they are doing!
 
 
 
 We're committed to bringing passion and customer focus to the business.
 
 
 
 
 Job Summary
 
 
 
 As an AI/ML Data Scientist specializing in Generative AI, You will design, develop &amp; deploy advanced machine learning models &amp; natural language processing solutions focused on cutting-edge generative technologies. You will be responsible for building scalable AI systems that analyze &amp; generate human-like text, collaborating with cross-functional teams to deliver impactful enterprise AI products. Your expertise in Python, state-of-the-art deep learning frameworks &amp; recent generative AI training will enable you to innovate in the development of AI solutions that solve complex business problems &amp; push the boundaries of AI research by implementing them in real world use cases driving innovation across industries/domains.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build NLP and AI/ML solutions extracting insights from user comments, chat transcripts, and unstructured text using latest NLP and generative AI techniques.
 </li>
 <li>
 Design and develop solutions using state-of-the-art deep learning and language models.
 </li>
 <li>
 Identify and prepare annotated datasets for supervised learning.
 </li>
 <li>
 Train, fine-tune, and evaluate generative AI and NLP models.
 </li>
 <li>
 Analyze model performance statistically and iteratively improve models.
 </li>
 <li>
 Implement logical algorithms, write clean, reproducible code, and support AI research efforts.
 </li>
 <li>
 Collaborate across teams to deploy large-scale AI platforms and applications.
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 2-4 years of experience in AI/ML or NLP projects with solid proficiency in Python.
 </li>
 <li>
 Recent training or certification in Generative AI.
 </li>
 <li>
 Hands-on experience with NLP libraries and deep learning frameworks (e.g., Huggingface Transformers, RAGs, TensorFlow, PyTorch).
 </li>
 <li>
 Familiarity with SQL and text representation techniques.
 </li>
 <li>
 Experience in building and deploying AI solutions is preferred.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with Cloud AI deployments &amp; integrating LLMs via Azure OpenAI, Google Vertex AI or AWS Bedrock
 </li>
 <li>
 Experience with data visualization tools like Tableau or Qlik.
 </li>
 <li>
 Exposure to agentic AI platforms or large reasoning models.
 </li>
 <li>
 Understanding of LLMs, Gen Ai frameworks &amp; tools.
 
 
 
 </li>
 </ul>
 
 Education
 
 
 
 B.E/B.Tech/M.Tech in Computer Science or related technical field, or equivalent experience.
 
 
 
 Location
 
 :
 
 
 All Fractal Locations - Bengaluru, Mumbai, Gurugram, Pune, Noida, Chennai, Coimbatore, Hyderabad
 
 
 *Joining Preference: We are looking for candidates who join us by 15th Nov 2025, so we prefer candidates who can join immediately or within 30 days.*
 
 
 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
 
 
 Not the right fit? Let us know you're interested in a future opportunity by clicking
 
 Introduce Yourself
 
 in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
</div>

Data Scientist - AI/ML Generative AI Specialist

<div>
 It's fun to work in a company where people truly BELIEVE in what they are doing!
 
 
 
 We're committed to bringing passion and customer focus to the business.
 
 
 
 
 Job Title:
 
 Data Scientist/Senior Data Scientist
 
 
 
 Location:
 
 Bangalore/Mumbai/Gurgaon/Chennai/Pune/Noida/Hyderabad
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement advanced solutions utilizing Large Language Models (LLMs).
 </li>
 <li>
 Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
 </li>
 <li>
 Conduct research and stay informed about the latest developments in generative AI and LLMs.
 </li>
 <li>
 Develop and maintain code libraries, tools, and frameworks to support generative AI development.
 </li>
 <li>
 Participate in code reviews and contribute to maintaining high code quality standards.
 </li>
 <li>
 Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
 </li>
 <li>
 Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
 </li>
 <li>
 Possess strong analytical and problem-solving skills.
 </li>
 <li>
 Demonstrate excellent communication skills and the ability to work effectively in a team environment.
 
 
 
 </li>
 </ul>
 
 Primary Skills
 
 
 
 <ul>
 <li>
 Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&amp;A and chatbots, search, Document AI, summarization, and content generation.
 
 
 
 </li>
 </ul>
 AND/OR
 
 
 <ul>
 <li>
 Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.
 </li>
 <li>
 Generative AI:
 </li>
 <ul>
 <li>
 Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
 </li>
 <li>
 Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
 </li>
 </ul>
 <li>
 Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
 </li>
 <li>
 Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.
 
 
 </li>
 </ul>
 If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
 
 
 Not the right fit? Let us know you're interested in a future opportunity by clicking
 
 Introduce Yourself
 
 in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
</div>

Data Scientist/Senior Data Scientist - Gen AI (3 to 5 Years)

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:
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 Self &amp; Family Health Insurance
 </li>
 <li>
 Term &amp; Life Insurance
 </li>
 <li>
 OPD Benefits
 </li>
 <li>
 Mental wellbeing through Plumm
 </li>
 <li>
 Learning &amp; Development Budget
 </li>
 <li>
 WFH Setup allowance
 </li>
 <li>
 15 days of Privilege leaves
 </li>
 <li>
 12 days of Casual leaves
 </li>
 <li>
 12 days of Sick leaves
 </li>
 <li>
 3 paid days off for volunteering or L&amp;D activities
 </li>
 <li>
 Stock Options
 
 
 </li>
 </ul>
 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
 
 
 <ul>
 <li>
 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.
 </li>
 <li>
 Communication from Tide will only come from an official @tide.co email address.
 </li>
 <li>
 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.
 
 
 </li>
 </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)

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

Sonata Software

<div>
 
 
 About Sonata Software
 
 
 
 In today's market, we observe a distinct duality in technology adoption. On one front, clients are keenly focused on cost containment, while on the other, there is a strong drive to modernize their digital storefronts, aiming to appeal to both consumers and B2B customers alike.
 
 
 As a leading Modernization Engineering company, we aim to deliver modernization-driven hypergrowth for our clients based on the deep differentiation we have created in Modernization Engineering, powered by our Lightening suite and 16-step Platformation playbook. In addition, we bring agility and systems thinking to accelerate time to market for our clients.
 
 
 Headquartered in Bengaluru, India, Sonata Software has a strong global presence, with strategic operations spanning across key regions such as the US, UK, Europe, APAC, and ANZ. We are a trusted partner of world-leading companies in TMT (Telecom, Media, and Technology), Retail &amp; CPG, Manufacturing, BFSI (Banking, Financial Services and Insurance), and HLS (Healthcare and Lifesciences). Our bouquet of Modernization Engineering services cuts across Cloud, Data, Dynamics, Contact Centers, and around newer technologies like Generative AI, MS Fabric, and other modernization platforms.
 
 
 To know more, visit: www.sonata-software.com
 
 
 
 
 
 
 Job Title: Data Science Engineer
 
 
 
 
 Experience: 3&ndash;8 years
 
 
 
 
 
 
 Role Overview:
 
 
 
 The
 
 Data Science Engineer
 
 will be responsible for building scalable data science solutions that drive actionable insights and automation across business functions. The role bridges
 
 data engineering
 
 ,
 
 machine learning
 
 , and
 
 software engineering
 
 , ensuring models are efficiently trained, deployed, and maintained in production. The ideal candidate combines strong data science fundamentals with practical implementation skills in
 
 MLOps
 
 and
 
 cloud environments
 
 .
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 1. Data Preparation &amp; Feature Engineering
 
 
 <ul>
 <li>
 Design and implement data pipelines for data extraction, transformation, and loading (ETL/ELT).
 </li>
 <li>
 Collaborate with data engineers to ensure high-quality, well-structured, and accessible datasets.
 </li>
 <li>
 Build reusable
 
 feature engineering
 
 components and integrate them into ML workflows.
 </li>
 </ul>
 
 
 2. Model Development &amp; Evaluation
 
 
 <ul>
 <li>
 Develop, train, and validate
 
 machine learning
 
 and
 
 statistical models
 
 using Python and modern ML frameworks (scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Perform
 
 exploratory data analysis (EDA)
 
 to identify trends, correlations, and patterns.
 </li>
 <li>
 Apply techniques in
 
 classification, regression, clustering, forecasting, NLP
 
 , or
 
 Generative AI
 
 , depending on the use case.
 </li>
 <li>
 Evaluate models using appropriate metrics and optimize performance for production-readiness.
 </li>
 </ul>
 
 
 3. Model Deployment &amp; MLOps
 
 
 <ul>
 <li>
 Package and deploy ML models to production environments using
 
 Docker
 
 ,
 
 Kubernetes
 
 , or
 
 cloud-native services
 
 (AWS Sagemaker, Azure ML, GCP Vertex AI).
 </li>
 <li>
 Implement
 
 CI/CD pipelines
 
 for model retraining and deployment.
 </li>
 <li>
 Collaborate with MLOps teams to ensure scalable, secure, and reliable ML operations.
 </li>
 </ul>
 
 
 4. Data Science Platform Integration
 
 
 <ul>
 <li>
 Work with
 
 data engineers
 
 and
 
 BI teams
 
 to integrate ML insights into business dashboards and decision systems.
 </li>
 <li>
 Leverage
 
 APIs
 
 and
 
 microservices
 
 to expose model outputs to applications.
 </li>
 <li>
 Develop and maintain
 
 model monitoring and drift detection
 
 systems.
 </li>
 </ul>
 
 
 5. Collaboration &amp; Innovation
 
 
 <ul>
 <li>
 Partner with
 
 data analysts
 
 ,
 
 domain experts
 
 , and
 
 product teams
 
 to translate business problems into data science solutions.
 </li>
 <li>
 Contribute to the
 
 AI/ML Center of Excellence (CoE)
 
 by documenting reusable assets, best practices, and frameworks.
 </li>
 <li>
 Explore and prototype emerging AI/ML techniques, including
 
 LLM
 
 ,
 
 RAG
 
 , and
 
 GenAI use cases
 
 .
 </li>
 </ul>
 
 
 
 
 Required Skills &amp; Experience:
 
 
 <ul>
 <li>
 3&ndash;8 years of experience in
 
 data science
 
 ,
 
 machine learning
 
 , or
 
 AI engineering
 
 roles.
 </li>
 <li>
 Proficiency in
 
 Python
 
 (pandas, numpy, scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Strong SQL skills and experience with
 
 data warehouses
 
 (Snowflake, BigQuery, Synapse, Redshift).
 </li>
 <li>
 Familiarity with
 
 data pipelines
 
 using
 
 Airflow
 
 ,
 
 Databricks
 
 , or
 
 Azure Data Factory
 
 .
 </li>
 <li>
 Practical knowledge of
 
 MLOps
 
 tools such as
 
 MLflow
 
 ,
 
 Kubeflow
 
 , or
 
 Vertex AI
 
 .
 </li>
 <li>
 Hands-on experience with
 
 cloud platforms
 
 (AWS, Azure, or GCP).
 </li>
 <li>
 Understanding of
 
 model evaluation, tuning, and versioning
 
 practices.
 </li>
 <li>
 Experience in
 
 data visualization and storytelling
 
 using Power BI, Tableau, or Plotly.
 </li>
 </ul>
 
 
 
 
 Good-to-Have Skills:
 
 
 <ul>
 <li>
 Exposure to
 
 Generative AI
 
 ,
 
 LLM fine-tuning
 
 , or
 
 prompt engineering
 
 .
 </li>
 <li>
 Experience in
 
 RAG architecture
 
 ,
 
 vector databases
 
 (Pinecone, FAISS, Chroma).
 </li>
 <li>
 Knowledge of
 
 big data technologies
 
 (Spark, Hadoop).
 </li>
 <li>
 Experience with
 
 API development
 
 (FastAPI, Flask).
 </li>
 <li>
 Familiarity with
 
 DevOps / GitOps
 
 practices and infrastructure-as-code tools (Terraform).
 </li>
 <li>
 Certification:
 
 Microsoft Certified: Data Scientist Associate
 
 ,
 
 AWS Certified Machine Learning &ndash; Specialty
 
 , or equivalent.
 </li>
 </ul>
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, Statistics, Mathematics, or related discipline.
 </li>
 </ul>
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Strong analytical and problem-solving mindset.
 </li>
 <li>
 Ability to communicate complex concepts to non-technical audiences.
 </li>
 <li>
 Team-oriented, with a focus on innovation and continuous learning.
 </li>
 <li>
 Attention to detail and data quality.
 </li>
 </ul>
</div>

Data science

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