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YASH Technologies

<div>
 
 
 Job Overview:
 
 
 
 
 Locations- Indore/Pune/Hyderabad/Bangalore
 
 
 
 
 
 
 We are looking for a
 
 AI/ML Developer
 
 to join our team of researchers, data scientists, and developers. You will work on cutting-edge AI solutions across industries such as commerce, agriculture, insurance, financial markets, and procurement. Your role involves developing and optimizing
 
 machine learning and generative AI models
 
 to solve real-world challenges.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Develop and optimize
 
 ML, NLP, Deep Learning, and Generative AI
 
 models.
 
 
 &bull; Research and implement
 
 state-of-the-art algorithms
 
 for supervised and unsupervised learning.
 
 
 &bull; Work with
 
 large-scale datasets
 
 in distributed environments.
 
 
 &bull; Understand business processes to select and apply the best ML approaches.
 
 
 &bull; Ensure
 
 scalability and performance
 
 of ML solutions.
 
 
 &bull; Collaborate with cross-functional teams, including product owners, designers, and developers.
 
 
 &bull; Solve complex
 
 data integration
 
 and deployment challenges.
 
 
 &bull; Communicate results effectively using data visualization.
 
 
 &bull; Work in
 
 global teams
 
 across different time zones.
 
 
 
 
 
 
 Required Skills &amp; Experience:
 
 
 
 &bull; Strong experience in
 
 Machine Learning, Deep Learning, NLP, and Generative AI
 
 .
 
 
 &bull; Hands-on expertise in frameworks like
 
 TensorFlow, PyTorch, or Hugging Face Transformers
 
 .
 
 
 &bull; Experience with
 
 LLMs (Large Language Models), model fine-tuning, and prompt engineering
 
 .
 
 
 &bull; Proficiency in
 
 Python, R, or Scala
 
 for ML development.
 
 
 &bull; Knowledge of
 
 cloud-based ML platforms
 
 (AWS, Azure, GCP).
 
 
 &bull; Experience with
 
 big data processing
 
 (Spark, Hadoop, or Dask).
 
 
 &bull; Ability to scale ML models from
 
 prototypes to production
 
 .
 
 
 &bull; Strong analytical and problem-solving skills.
 
 
 
 
 
 If you&rsquo;re passionate about pushing the boundaries of
 
 ML and GenAI
 
 , we&rsquo;d love to hear from you!
 
</div>

Lead Data Scientist-Gen AI

Experian

<div>
 
 Company Description
 
 
 
 Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.
 
 
 We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
 
 
 We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
 
 
 
 Job Description
 
 
 
 
 Job description
 
 
 
 We are looking for a
 
 Senior Software Developer
 
 with strong expertise in
 
 AWS cloud services
 
 ,
 
 batch processing
 
 , and
 
 data-related workflows
 
 . The ideal candidate should be proficient in one or more programming languages and have a strong Willingness to participate in professional development activities to stay current on industry knowledge as needed.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain data processing applications and batch workflows on AWS.
 </li>
 <li>
 Implement best practices for cloud architecture, security, and performance optimization.
 </li>
 <li>
 Collaborate with engineering managers, architects, and cross-functional teams to deliver high-quality solutions.
 </li>
 <li>
 Write clean, maintainable, and efficient code in one or more programming languages.
 </li>
 <li>
 Troubleshoot and resolve technical issues in production and development environments.
 </li>
 <li>
 Participate in code reviews and contribute to continuous improvement initiatives.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Education:
 </li>
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field (mandatory).
 </li>
 <li>
 Master's degree in Computer Science or related discipline (preferred).
 </li>
 </ul>
 <li>
 5+ years of experience in software development with a focus on data processing and cloud-based solutions.
 </li>
 <li>
 Strong knowledge of AWS services such as:
 </li>
 <ul>
 <li>
 S3, EC2, Lambda, Batch, Step Functions, Glue, EMR, and related data services.
 </li>
 </ul>
 <li>
 Hands-on experience with batch processing frameworks and ETL pipelines.
 </li>
 <li>
 Proficiency in one or more programming languages, such as:
 </li>
 <ul>
 <li>
 Java, Python, Scala, Go, C#, Node.js, or similar.
 </li>
 </ul>
 <li>
 Stay informed about relevant technology trends and developments new languages and technologies as required.
 </li>
 <li>
 Solid understanding of data architecture, distributed systems, and API development.
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with CI/CD pipelines, DevOps practices, and Infrastructure as Code (e.g., Terraform, CloudFormation).
 </li>
 <li>
 Familiarity with big data technologies (e.g., Spark, Hadoop).
 </li>
 <li>
 Knowledge of data security and compliance standards.
 </li>
 <li>
 AWS certifications (e.g., AWS Certified Developer, AWS Solutions Architect).
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces&trade; 2024 (Fortune Top 25), Great Place To Work&trade; in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
 
 
 Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
 
 
 Experian Careers - Creating a better tomorrow together
 
 
 Find out what its like to work for Experian by clicking here
</div>

Senior Software Engineer

<div>
 
 
 
 Data Science - JD
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Work with data from multiple internal/external data sources and APIs including Hadoop clusters
 </li>
 <li>
 Work with structured as well as unstructured data
 </li>
 <li>
 Data wrangling for cleanup, handle missing data, standardize/scale data
 </li>
 <li>
 Explore and analyze data using visualizations to uncover hidden patterns
 </li>
 <li>
 Use ML techniques including linear/logistic regression, decision trees, classification, clustering, ensembles, text mining, social networking analysis to build models
 </li>
 <li>
 Use these models to identify patterns and rules which help unearth business insights and aid in decision making
 </li>
 </ul>
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
 
 <ul>
 <li>
 Bachelor, Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field
 </li>
 <li>
 3+ years of hands-on experience with NLP, recommendation systems, or generative AI
 </li>
 </ul>
 
 
 
 
 
 Technical Skills
 
 
 
 
 
 <ul>
 <li>
 
 Programming
 
 : Expert-level Python; proficiency in SQL, or Scala
 </li>
 <li>
 
 ML Frameworks
 
 : PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers
 </li>
 <li>
 
 NLP Libraries
 
 : spaCy, NLTK, Gensim, transformers
 </li>
 <li>
 
 Big Data
 
 : Spark, Hadoop, or similar distributed computing frameworks
 </li>
 <li>
 
 Cloud Platforms
 
 : AWS/GCP/Azure ML services and infrastructure
 </li>
 <li>
 
 MLOps
 
 : Experience with model deployment, monitoring, and CI/CD pipelines
 </li>
 </ul>
 
 
 Databases
 
 : SQL and NoSQL databases, vector databases (Opensearch )
 
 
 
 
 <ul>
 <li>
 Deep understanding of transformer architectures and attention mechanisms
 </li>
 <li>
 Experience with recommendation system architectures (matrix factorization, deep learning approaches)
 </li>
 <li>
 Knowledge of information retrieval and search relevance
 </li>
 <li>
 Familiarity with A/B testing and statistical significance testing
 </li>
 <li>
 Understanding of ML interpretability and fairness considerations
 </li>
 </ul>
 
 
</div>

Data Scientist

PepsiCo

<div>
 
 Overview
 
 
 
 
 We are PepsiCo
 
 
 
 PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals.
 
 
 We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this
 
 Winning with Pep+ Positive
 
 . For more information on PepsiCo and the opportunities it holds, visit www.pepsico.com.
 
 
 
 PepsiCo Data Analytics &amp; AI Overview:
 
 
 
 With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&amp;AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo&rsquo;s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.
 
 
 The Data Science Pillar in DA&amp;AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&amp;AI Products. And will support &ldquo;pre-engagement&rdquo; activities as requested and validated by the prioritization framework of DA&amp;AI.
 
 
 
 Data Scientist-Gurugram and Hyderabad
 
 
 
 The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Machine Learning Services and Pipelines.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
 </li>
 <li>
 Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
 </li>
 <li>
 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
 </li>
 <li>
 Use big data technologies to help process data and build scaled data pipelines (batch to real time)
 </li>
 <li>
 Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure/AWS/GCP Pipelines.
 </li>
 <li>
 Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
 </li>
 <li>
 Automate ML models deployments
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Minimum 3years of hands-on work experience in data science / Machine learning
 </li>
 <li>
 Minimum 3year of SQL experience
 </li>
 <li>
 Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers.
 </li>
 <li>
 BE/BS in Computer Science, Math, Physics, or other technical fields.
 </li>
 <li>
 Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models
 </li>
 <li>
 Programming Skills - Hands-on experience in statistical programming languages like Python and database query languages like SQL
 </li>
 <li>
 Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
 </li>
 <li>
 Any Cloud - Experience in Databricks and ADF is desirable
 </li>
 <li>
 Familiarity with Spark, Hive, Pig is an added advantage
 </li>
 <li>
 Model deployment experience will be a plus
 </li>
 <li>
 Experience with version control systems like GitHub and CI/CD tools
 </li>
 <li>
 Experience in Exploratory data Analysis
 </li>
 <li>
 Knowledge of ML Ops / DevOps and deploying ML models is required
 </li>
 <li>
 Experience using MLFlow, Kubeflow etc. will be preferred
 </li>
 <li>
 Experience executing and contributing to ML OPS automation infrastructure is good to have
 </li>
 <li>
 Exceptional analytical and problem-solving skills
 </li>
 </ul>
</div>

Tata Consultancy Services

<div>
 
 
 TCS Hiring for React JS with Node Developer Role!
 
 
 
 TCS presents an excellent opportunity for R
 
 React JS with Node Developer
 
 Role!!
 
 
 Job Title:
 
 React JS with Node Developer
 
 
 
 Work Location: Chn/Blr/Hyd/BBSR
 
 
 Experience Range: 6 to 10 yrs
 
 
 Mode of Interview : Virtual
 
 
 Date of Virtual interview : 19- 11-2025
 
 
 Desired Competencies (Technical/Behavioral Competency)
 
 
 
 <ul>
 <li>
 
 Strong Knowledge of Reactjs &amp; Node.js
 
 </li>
 <li>
 Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
 </li>
 <li>
 In-depth knowledge of React.js and its core principles.
 </li>
 <li>
 Experience with React Hooks, Redux, React Router.
 </li>
 <li>
 Familiarity with modern front-end build pipelines and tools such as Webpack, Babel, NPM/Yarn.
 </li>
 <li>
 Experience with TypeScript is a plus.
 </li>
 <li>
 Proficient in HTML5, CSS3, SASS/SCSS, and responsive design.
 </li>
 <li>
 Experience with version control systems like Git.
 </li>
 </ul>
 
 
</div>

Developer

EchorTech

<div>
 
 
 Hiring: Software Engineer &ndash; Hyderabad (On-site)
 
 
 
 
 
 
 EchorTech is a technology company delivering secure, scalable, and performance-driven digital
 
 
 solutions across healthcare, fintech, AI, blockchain, and IoT. Our team has built HIPAA-compliant
 
 
 healthcare platforms, real-time trading systems, AI-driven chatbots, and enterprise-grade software that
 
 
 has delivered measurable impact to clients.
 
 
 
 
 
 We are looking for Software Engineer (0&ndash;2 years experience) who want to work on real,
 
 
 user-facing products from day one. This role is suited for individuals with strong fundamentals, a
 
 
 learning mindset, and the ability to contribute in a modern engineering environment.
 
 
 
 
 
 
 Position Details
 
 
 
 &bull; Role: Junior Full-Stack Developer / Software Engineer
 
 
 &bull; Experience: 0&ndash;2 years
 
 
 &bull; Location: Hyderabad (On-site)
 
 
 
 
 
 
 Must-Have Skills
 
 
 
 &bull; Strong problem-solving abilities and understanding of Data Structures &amp; Algorithms (DSA)
 
 
 &bull; Proficiency in JavaScript or TypeScript
 
 
 &bull; Working knowledge of Python (data handling, scripting, backend logic)
 
 
 &bull; Hands-on experience with React.js (or Angular / Vue)
 
 
 &bull; Backend experience with Node.js (preferred), Python, or Java
 
 
 &bull; Understanding of REST APIs, JSON, and Postman
 
 
 &bull; Basic Git and GitHub usage
 
 
 &bull; Familiarity with SQL or NoSQL databases
 
 
 &bull; Degree in CS/IT or equivalent practical knowledge
 
 
 
 
 
 
 Good-to-Have Skills (Not mandatory, but beneficial)
 
 
 
 &bull; 1&ndash;2 full-stack personal or academic projects
 
 
 &bull; Exposure to Next.js, Tailwind, Redux, or Zustand
 
 
 &bull; Basic understanding of Machine Learning / Deep Learning concepts&bull; Experience with ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch)
 
 
 &bull; Cloud fundamentals (AWS, Azure, or GCP)
 
 
 &bull; Basic testing knowledge (Jest, RTL, PyTest)
 
 
 &bull; Contribution to hackathons or open-source projects
 
 
 &bull; Understanding of CI/CD pipelines
 
 
 
 
 
 
 What We Offer
 
 
 
 &bull; Exposure to real-world production systems
 
 
 &bull; Opportunity to work closely with senior engineers and solution architects
 
 
 &bull; Mentorship and continuous learning
 
 
 &bull; Experience across full-stack development, cloud, and AI-driven workflows
 
 
 &bull; A disciplined, fast-paced engineering environment
 
</div>

Software Engineer

PwC India

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Not Applicable
 
 
 
 
 Specialism
 
 
 Data, Analytics &amp; AI
 
 
 
 
 Management Level
 
 
 Manager
 
 
 
 
 Job Description &amp; Summary
 
 
 At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
 
 
 In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
 
 
 
 
 Why PWC
 
 
 
 At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for&nbsp;our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for&nbsp;each other. Learn more about us.
 
 
 At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
 
 
 Job Description &amp; Summary: A career within&hellip;. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
 
 
 Responsibilities:
 
 
 &middot; Python, TensorFlow or PyTorch, Scikit-learn, and XGBoost, computer vision and NLP, MLOPs. &middot; Design, develop, and deploy advanced ML and generative AI models (e.g., LLMs, diffusion models, transformers) for various use cases such as automation, personalization, content generation, forecasting, and decision intelligence. &middot; Drive experimentation, evaluation, and integration of state-of-the-art generative AI techniques into products and processes. &middot; Oversee model governance, fairness, explainability, and responsible AI practices. &middot; Recommendation algorithms (collaborative filtering, content-based filtering). &middot; Experienced with MLOps tools and cloud platforms - any of GCP , Azure, Databricks, or AWS. &middot; VertexAI experience where working with model deployment, model training pipelines should be part of experience &middot; Experience with real-world ML applications in retail such as recommendation systems, demand forecasting, inventory optimization, or customer segmentation. &middot; Experience in Retail.
 
 
 Mandatory skill sets:
 
 
 &middot; Design and deploy advanced ML and generative AI models (e.g., LLMs, diffusion models, transformers) for various use cases such as automation, personalization, content generation, forecasting, and decision intelligence. &middot; RAG
 
 
 Preferred skill sets:
 
 
 &middot; Gen AI &middot; Agentic AI
 
 
 Years of experience required:
 
 
 7-11
 
 
 Education qualification:
 
 
 B.Tech / M.Tech / MBA / MCA
 
 
 
 
 
 
 
 Education
 
 
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology
 
 
 Degrees/Field of Study preferred:
 
 
 
 
 
 Certifications
 
 
 
 
 (if blank, certifications not specified)
 
 
 
 
 
 
 Required Skills
 
 
 Data Science, Generative AI
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 43 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 Not Specified
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 No
 
 
 
 
 Government Clearance Required?
 
 
 No
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

IN_Manager_Data Scientist, Gen AI_Data Analytics_Advisory_Hyderabad

Explore 124+ Big data developer in Hyderabad this December. Find roles across top companies and apply now to boost your career.

124 big data developer jobs IN Hyderabad

Lead Data Scientist-Gen AI

Senior Software Engineer

Data Scientist

Data Scientist

Developer

Software Engineer

IN_Manager_Data Scientist, Gen AI_Data Analytics_Advisory_Hyderabad