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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

Perfios

<div>
 
 
 Primary Function:-
 
 
 
 As a Senior Data Scientist, you will:
 
 
 ● Work collaboratively with the engineering and product teams.
 
 
 ● Communicate and articulate complex issues &amp; technologies easily to stakeholders at different levels.
 
 
 ● Think through problems and drive solutions from inception to shipment.
 
 
 ● Keeping abreast of research trends in the field of Deep Learning/vision/NLP.
 
 
 
 
 
 
 Qualification &amp; Competency:-
 
 
 
 ● Bachelors or above in Data Science, Mathematics, Statistics, Econometrics, Computer Science or a related field.
 
 
 ● 3-5 years of experience in building complete ML products; from the problem analysis and data selection to their production deployment
 
 
 and monitoring for progressive enhancements and drifts from business impact.
 
 
 ● Theoretical knowledge and hands-on experience in deep learning/computer vision/NLP
 
 
 ● Ability to rapidly prototype and evaluate algorithms.
 
 
 ● Experience on working with text only and multimodel SLMs will be a big plus. This involves finetuning and building robust eval pipelines
 
 
 specific to use cases.
 
 
 ● Experience with deep learning frameworks such as Keras, PyTorch and TensorFlow.
 
 
 ● Good programming skills is a must, especially skills relevant to building robust ML models.
 
 
 ● Domain experience in Fintech is preferred, but not mandatory.
 
 
 ● Experience of publishing in top-tier conferences and journals will be considered a plus.
 
 
 
</div>

Senior Data Scientist

<div>
 
 Role Description
 
 
 
 Data Scientist
 
 
 
 Job Summary
 
 
 
 We are looking for a results-oriented Data Scientist with expertise in Statistics, Economics, Machine Learning, Deep Learning, Computer Vision, and Generative AI. The ideal candidate will have a proven track record of building and deploying predictive models, conducting statistical analysis, and applying cutting-edge AI techniques to solve real-world business challenges.
 
 
 ________________________________________
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop models for regression, classification, clustering, and time series forecasting.
 </li>
 <li>
 Perform hypothesis testing and statistical validation to support data-driven decisions.
 </li>
 <li>
 Build and optimize deep learning models (ANN, CNN, RNN including LSTM, BERT).
 </li>
 <li>
 Implement computer vision solutions using YOLOv3, SSD, U-Net, R-CNN, etc.
 </li>
 <li>
 Apply Generative AI and LLMs (GPT-4, LLaMA2, Bard) for NLP and content generation.
 </li>
 <li>
 Create interactive dashboards and applications using Streamlit or Flask.
 </li>
 <li>
 Deploy models using AWS SageMaker, Azure, Docker, Kubernetes, and Jenkins.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate models into production.
 </li>
 <li>
 Handle large datasets using SQL/NoSQL and PySpark.
 </li>
 <li>
 Stay updated with the latest AI/ML research and contribute to innovation.
 
 
 </li>
 </ul>
 ________________________________________
 
 
 
 Technical Skills
 
 
 
 Programming &amp; Frameworks:
 
 
 <ul>
 <li>
 Languages: Python
 </li>
 <li>
 Libraries/Frameworks: TensorFlow, PyTorch, Keras, Flask, Transformers, Langchain, PySpark, Caffe
 </li>
 <li>
 Visualization &amp; Data Tools: Pandas, NumPy, Seaborn, Matplotlib, Scikit-learn, Scipy, NLTK, Streamlit, OpenCV, Scikit-Image, Dlib, MXNet, Fasta
 
 
 </li>
 </ul>
 
 ML &amp; Statistical Techniques
 
 
 
 <ul>
 <li>
 Regression (Linear/Logistic), Decision Trees, Random Forest, KNN, Na&iuml;ve Bayes
 </li>
 <li>
 Clustering (KMeans, Hierarchical), Time Series Forecasting
 </li>
 <li>
 Hypothesis Testing, Statistical Inference
 
 
 </li>
 </ul>
 
 Deep Learning &amp; Computer Vision
 
 
 
 <ul>
 <li>
 ANN, CNN, RNN (LSTM, BERT), VGGs, YOLOv3, SSD, HOGs, DCGAN, U-Net, R-CNN, NEAT, Inpainting
 
 
 </li>
 </ul>
 
 Gen-AI / LLMs
 
 
 
 <ul>
 <li>
 HuggingFace, GPT-4, Bard, LLaMA2, Pinecone, Palm, GenAI Studio, OpenAI fine-tuning
 
 
 </li>
 </ul>
 
 Deployment &amp; DevOps
 
 
 
 <ul>
 <li>
 AWS (SageMaker), Azure, Docker, Kubernetes, Jenkins, Git, GitHub, API integration
 
 
 </li>
 </ul>
 
 Databases &amp; Tools
 
 
 
 <ul>
 <li>
 MySQL, NoSQL
 </li>
 <li>
 Jupyter Notebook, Google Colab, Visual Studio, Power BI
 
 
 </li>
 </ul>
 ________________________________________
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Statistics, Economics, Computer Science, Data Science, or related field.
 </li>
 <li>
 Demonstrated experience in developing and deploying models in production.
 </li>
 <li>
 Strong analytical and statistical skills.
 </li>
 <li>
 Excellent communication and collaboration abilities.
 </li>
 </ul>
</div>

Rakuten Symphony

<div>
 
 
 Job Title: AI/ML Engineer (Generative AI &amp; ML Ops)
 
 
 
 Minimum 5 to 8+ years of experience in AI/ML development.
 
 
 
 Location: Bangalore (Hybrid)
 
 
 
 
 
 
 
 Why should you choose us?
 
 
 
 Rakuten Symphony is a Rakuten Group company, that provides global B2B services for the mobile telco industry and enables next-generation, cloud-based, international mobile services. Building on the technology Rakuten used to launch Japan&rsquo;s newest mobile network, we are taking our mobile offering global. To support our ambitions to provide an innovative cloud-native telco platform for our customers, Rakuten Symphony is looking to recruit and develop top talent from around the globe. We are looking for individuals to join our team across all functional areas of our business &ndash; from sales to engineering, support functions to product development. Let&rsquo;s build the future of mobile telecommunications together!
 
 
 
 
 
 
 Required Skills and Expertise:
 
 
 
 
 AI/ML Strategy and Leadership
 
 :
 
 <ul>
 <li>
 Define the AI/ML strategy and roadmap aligned with the product vision.
 </li>
 <li>
 Identify and prioritize AI/ML use cases, including classical ML, Generative AI, and Agentic AI, relevant to our product offerings.
 </li>
 <li>
 Build and lead a high-performing AI/ML team by mentoring and upskilling existing non-AI/ML team members.
 </li>
 <li>
 Stay updated with the latest advancements in AI/ML, generative AI, Agentic AI and ML Ops, and apply them to solve business problems.
 </li>
 </ul>
 
 
 
 
 
 AI/ML Development
 
 :
 
 <ul>
 <li>
 Proficient in Python programming and libraries like NumPy, Pandas, Scikit-learn, and Matplotlib.
 </li>
 <li>
 Strong understanding of machine learning algorithms, deep learning architectures, and generative AI models.
 </li>
 <li>
 Design, develop, and deploy classical machine learning models, including supervised, unsupervised, and reinforcement learningtechniques.
 </li>
 <li>
 Hands on Experience in AI/ML Framework like: Scikit-learn, XG Boost, TensorFlow, Py Torch, Keras, Hugging Face, OpenAI APIs (e.g., GPT models).
 </li>
 <li>
 Experience with feature engineering, model evaluation, and hyperparameter tuning.
 </li>
 <li>
 Experience with Lang Chain modules, including Chains, Memory, Tools, and Agents.
 </li>
 <li>
 Build and fine-tune generative AI models (e.g., GPT, DALL-E, Stable Diffusion) for specific use cases.
 </li>
 <li>
 Must Have Exp. in any Agentic AI framework. Leverage LLMs (e.g., GPT, Claude, LLaMA) and multi-modal models to build intelligent agents that can interact with users and systems.
 </li>
 <li>
 Design and develop autonomous AI agents capable of reasoning, planning, and executing tasks in dynamic environments.
 </li>
 <li>
 Implement prompt engineering and fine-tuning of LLMs to optimize agent behaviour for specific tasks.
 </li>
 <li>
 Optimize models for performance, scalability, and cost-efficiency.
 </li>
 </ul>
 
 
 
 
 
 ML Ops and DevOps for AI/ML:
 
 
 <ul>
 <li>
 Establish and maintain an end-to-end MLOps pipeline for model development, deployment, monitoring, and retraining.
 </li>
 <li>
 Automate model training, testing, and deployment workflows using CI/CD pipelines.
 </li>
 <li>
 Implement robust version control for datasets, models, and code.
 </li>
 <li>
 Monitor model performance in production and implement feedback loops for continuous improvement.
 </li>
 <li>
 Proficiency in MLOps tools and platforms such as MLflow, Kubeflow, TFX, SageMaker.
 </li>
 <li>
 Familiarity with CI/CD tools like Jenkins, GitHub Actions, or GitLab CI for AI/ML workflows.
 </li>
 <li>
 Expertise in deploying models on cloud platforms (AWS, Azure, GCP)
 </li>
 </ul>
 
 
 
 
 
 RAKUTEN SHUGI PRINCIPLES
 
 :
 
 
 Our worldwide practices describe specific behaviours that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.
 
 
 
 Always improve, always advance
 
 . Only be satisfied with complete success - Kaizen.
 
 
 
 Be passionately professional
 
 . Take an uncompromising approach to your work and be determined to be the best.
 
 
 
 Hypothesize - Practice - Validate - Shikumika
 
 . Use the Rakuten Cycle to success in unknown territory.
 
 
 
 Maximize Customer Satisfaction
 
 . The greatest satisfaction for workers in a service industry is to see their customers smile.
 
 
 
 Speed!! Speed!! Speed!!
 
 Always be conscious of time. Take charge, set clear goals, and engage your team.
 
</div>

Tessolve

<div>
 
 About Tessolve
 
 
 
 Tessolve offers a unique combination of
 
 design, test, and product engineering
 
 services, enabling our customers to bring products from concept to high-volume production. With a strong presence in semiconductor engineering, we provide a robust environment for growth, learning, and career development.
 
 
 
 Job Description
 
 
 
 We are looking for a skilled and motivated
 
 Analog Layout Engineer
 
 with 1&ndash;3 years of experience in deep sub-micron analog/mixed-signal layout design. The ideal candidate will be responsible for implementing transistor-level layout of analog and mixed-signal blocks while ensuring best practices in layout techniques for matching, parasitic reduction, and reliability.
 
 
 
 Job Title:
 
 Analog Layout Engineer
 
 
 
 Experience:
 
 1 to 3 Years
 
 
 
 Location:
 
 Bangalore
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Ownership of full-custom analog layout blocks from schematics to verified layout.
 </li>
 <li>
 Work closely with circuit design engineers to understand requirements and deliver robust layouts.
 </li>
 <li>
 Perform layout verification using DRC, LVS, ERC, and PEX tools.
 </li>
 <li>
 Support block-level and top-level integration.
 </li>
 <li>
 Optimize layout for performance, area, power, and reliability across different PDKs (90nm, 65nm, 28nm, etc.).
 </li>
 <li>
 Deliver high-quality GDSII on schedule.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 1 to 3 years of hands-on experience in analog layout design.
 </li>
 <li>
 Strong understanding of analog design fundamentals and layout techniques (matching, shielding, symmetry, etc.).
 </li>
 <li>
 Experience in Cadence Virtuoso layout tools and verification tools like Calibre or Assura.
 </li>
 <li>
 Good knowledge of CMOS process and parasitic effects.
 </li>
 <li>
 Exposure to layout of blocks such as op-amps, bandgap references, data converters, PLLs, LDOs, etc., is a plus.
 </li>
 <li>
 Strong communication skills and ability to work collaboratively in a team environment.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Electronics, ECE, VLSI, or related discipline.
 </li>
 <li>
 Understanding of ESD/Latch-up rules and reliability best practices.
 </li>
 <li>
 Experience in scripting (SKILL, Python) is a plus.
 </li>
 </ul>
</div>

Design Engineer 1

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
 
 
 
 Job Description
 
 
 
 We are looking for an Staff Machine Learning Engineer to play a pivotal role as a technical leader within the LSS AI team. This role goes beyond building models- you will set the technical direction, own the AI roadmap, and lead initiatives that push the boundaries of what's possible in enterprise AI. You will combine deep research expertise with the ability to build production-grade ML systems at scale, partnering across engineering, product, and research to deliver transformative AI solutions.
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead the design, development, and deployment of state-of-the-art ML systems across search, recommendations, generative AI, reinforcement learning, and LLMs for Sales Navigator.
 </li>
 <li>
 Define and drive the technical roadmap and architecture for end-to-end AI systems within LSS, ensuring scalability, reliability, and innovation.
 </li>
 <li>
 Research, fine-tune, and adapt large language models (LLMs) and build agentic AI systems that enable reasoning, planning, and decision-making for sales professionals.
 </li>
 <li>
 Partner with product, design, and other engineering teams to align AI solutions with business strategy and maximize impact.
 </li>
 <li>
 Drive cross-functional collaborations with horizontal AI and platform teams to leverage foundational tools and scale adoption of innovations across LinkedIn.
 </li>
 <li>
 Mentor and guide engineers, fostering a culture of craftsmanship, innovation, and technical excellence.
 </li>
 <li>
 Represent LinkedIn in external venues (papers, conferences, workshops) by showcasing advances in applied AI research and engineering.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 MS/PhD degree in Computer Science or related technical discipline, or equivalent practical experience.
 </li>
 <li>
 8+ years of experience in machine learning, artificial intelligence, or related fields.
 </li>
 <li>
 5+ years in an architect or technical leadership role driving large-scale AI initiatives.
 </li>
 <li>
 Hands-on experience with end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and optimization.
 </li>
 <li>
 Expertise in at least one of: LLMs, generative AI, search/recommendations, reinforcement learning, or large-scale deep learning.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 10+ years of experience building and scaling machine learning systems in production.
 </li>
 <li>
 Proven experience in pre-training and fine-tuning LLMs, including domain-specific adaptations.
 </li>
 <li>
 Strong software engineering skills (Python, Java, C++, or similar), with the ability to design robust, scalable systems.
 </li>
 <li>
 Track record of influencing product and technical strategy through AI/ML innovation.
 </li>
 <li>
 Publications, patents, or open-source contributions in machine learning, NLP, or related areas.
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Machine Learning
 </li>
 <li>
 Large Language Models
 </li>
 <li>
 Generative AI
 </li>
 <li>
 Search &amp; Recommendations
 </li>
 <li>
 Reinforcement Learning
 </li>
 <li>
 Technical Leadership
 </li>
 <li>
 Cross-Functional Collaboration
 
 
 
 </li>
 </ul>
 You Will Benefit from Our Culture
 
 
 We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
 
 
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Staff Software Engineer, Machine Learning

Explore 323+ Deep learning engineer in Mangaluru this September. Find roles across top companies and apply now to boost your career.

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Data Scientist

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Design Engineer 1

Staff Software Engineer, Machine Learning