associate, ml data operations, go-ai operations Jobs in Hyderabad

associate, ml data operations, go-ai operations

business analyst

data analyst

data analytics analyst [t500-21705] Jobs in Hyderabad

data analytics analyst [t500-21705]

data science scientist

data scientist

alliantgroup

<div>
 
 Role: Data Scientist
 
 
 Location: Hyderabad (Work from Office)
 
 
 Experience: 4 -6 years
 
 
 
 
 
 
 about alliantgroup
 
 
 
 alliantgroup is a professional services firm that provides tax consulting and compliance services to businesses in the United States. The company was founded in 2002 and is headquartered in Houston, Texas. alliantgroup services are focused on helping businesses claim tax credits and incentives that they are entitled to under various federal and state programs. These credits and incentives are designed to encourage businesses to invest in certain types of activities, such as research and development, energy efficiency, and hiring employees from certain disadvantaged groups. alliantgroup services include helping businesses identify and claim these credits and incentives, as well as providing guidance on compliance with the relevant regulations.
 
 
 alliantgroup is headquartered in Houston, Texas with additional offices located in Austin, Boston, Chicago, Indianapolis, New York, Irvine, Sacramento, Washington, D.C.; and Bristol and London in the U.K.
 
 
 More about our culture and why we love
 
 alliantgroup
 
 
 
 https://youtu.be/nM_9fXXwyrg
 
 
 https://youtu.be/erJobvthqRw
 
 
 
 
 
 
 alliantgroup India Talent Pvt. Ltd:
 
 
 
 
 
 alliantgroupstarted its operations in India in the year 2019 with a world-class office in Hyderabad to provide Tax, Advisory, Audit and Accounting services. alliantgroup India Talent comprises a team of skilled professionals who address the most pressing needs of U.S CPA Firms. We work with the best talent and ensure our clients get top quality services they need. We are currently a family of 1000+ employees.
 
 
 Our people and culture set us apart as a firm, and our team includes professionals from a diverse array of fields, including business, engineering, software development, law, and accounting.
 
 
 
 
 
 
 What you&rsquo;ll be doing:
 
 
 
 We are seeking a highly skilled and motivated Data Scientist to join our team. As a Data Scientist, your primary responsibility will be to design and develop predictive models to derive actionable insights from complex data sets. You will work closely with cross-functional teams to understand business requirements and leverage your expertise in data analysis and modeling techniques to provide valuable solutions.
 
 
 urgency. Additional requirements for this role are dependability and willingness to go above and beyond the call of duty in assisting end-users and following technical issues through to resolution.
 
 
 
 
 
 
 
 
 
 What will be your responsibilities:
 
 
 <ul>
 <li>
 Collaborate with domain experts, stakeholders, and data engineers to identify and gather relevant data for analysis.
 </li>
 <li>
 Clean, transform, and preprocess data to ensure data quality and compatibility for modeling purposes.
 </li>
 <li>
 Develop and implement advanced statistical models and algorithms to analyze large and complex datasets.
 </li>
 <li>
 Utilize machine learning techniques to extract meaningful patterns, trends, and insights from structured and unstructured data.
 </li>
 <li>
 Perform feature engineering, variable selection, and model validation to improve the accuracy and effectiveness of predictive models.
 </li>
 <li>
 Implement MLOps practices, including model deployment, monitoring, and version control.
 </li>
 <li>
 Collaborate with stakeholders to understand business requirementsand produce developed models for deployment in real-world systems.
 </li>
 <li>
 Communicate findings and insights through clear and compelling data visualizations, reports, and presentations to both technical and non-technical stakeholders.
 </li>
 <li>
 Stay up to date with the latest advancements in data science, machine learning, computer vision, NLP, and MLOps techniques.
 </li>
 <li>
 Conduct experiments, A/B testing, and analysis to optimize model performance and drive business outcomes.
 </li>
 <li>
 Coordination with ISMS core team to support ISMS activities and implantation strategies at the company.
 </li>
 </ul>
 
 
 
 
 
 What are we looking for:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Statistics, Mathematics, or a related field. A Master's degree is preferred.
 </li>
 <li>
 Proven experience as a Data Scientist or similar role, preferably in a business or industry setting.
 </li>
 <li>
 Strong analytical thinking and a passion for data-driven decision-making.
 </li>
 <li>
 Ability to work independently and collaboratively in a fast-paced and dynamic environment.
 </li>
 <li>
 
 Key Skills:
 
 </li>
 <li>
 Python, Machine Learning, Deep Learning, NLP, Computer Vision, OCR, Microsoft Azure, MLOps, Plotly, SQL, Spark SQL, conversational AI, Abacus, Databricks, Git, Shell commands.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What we offer:
 
 
 
 With us, there are always opportunities to break new ground. We empower you to take the organization to the next level with the versatile experience that you bring in. We trust you with responsibility early on and support you in all ways to make this organization as trusted partner to the customers and a great place to work for the employees.
 
 
 
 Join us and bring your curiosity to life!
 
 
 
 #LI-BP1
 
</div>

Data Scientist

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
 
 
 
 We are looking for an experienced and driven
 
 Data Scientist
 
 to join our team and lead the development of AI-powered solutions. As a
 
 Data Scientist
 
 , you will work closely with cross-functional teams to design, implement, and deploy data-driven solutions that drive business value. You will play a key role in shaping our data science strategy, mentoring junior team members, and ensuring the robustness and scalability of our models in production environments.
 
 
 
 What you'll need to bring to the role &amp; Experian
 
 
 
 <ul>
 <li>
 A Bachelor's/Master's/Ph.D. degree in computer science, Statistics, Mathematics, Data Science, or a related field.
 </li>
 <li>
 2+ years of experience in data science or machine learning, with a strong track record of delivering impactful solutions.
 </li>
 <li>
 Proficiency in Python and ML frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar.
 </li>
 <li>
 Strong understanding of statistical modeling, time series forecasting, supervised and unsupervised learning, and optimization techniques.
 </li>
 <li>
 Good understanding of generative AI concepts and principles.
 </li>
 <li>
 Intermediate to fluent English proficiency &ndash; technical concepts clearly in English is essential.
 </li>
 <li>
 Experience working with financial datasets (e.g., credit scoring, fraud detection, risk modeling, pricing, or forecasting).
 </li>
 <li>
 Proficiency in SQL and experience with relational and non-relational databases (e.g., PostgreSQL, CosmosDB, MongoDB).
 </li>
 <li>
 Experience deploying models into production using Databricks and cloud platforms (AWS, GCP, or Azure).
 </li>
 <li>
 Familiarity with MLOps practices, CI/CD pipelines, and model monitoring tools.
 </li>
 <li>
 Experience with data visualization tools (e.g., Plotly, Tableau) to communicate insights effectively.
 
 
 </li>
 </ul>
 
 Work That Matters - What You'll Be Doing
 
 
 
 <ul>
 <li>
 Lead the design, development, and deployment of machine learning models to solve high-impact financial problems.
 </li>
 <li>
 Collaborate with product managers, engineers, and business stakeholders to define data science use cases and translate them into actionable solutions.
 </li>
 <li>
 Analyse large-scale structured and unstructured datasets to extract insights and build predictive models.
 </li>
 <li>
 Develop and maintain robust model training workflows.
 </li>
 <li>
 Ensure model interpretability, fairness, and compliance with regulatory standards.
 </li>
 <li>
 Communicate findings and recommendations clearly to both technical and non-technical audiences.
 
 
 </li>
 </ul>
 
 More About You
 
 
 
 <ul>
 <li>
 Passion for using data to drive decisions.
 </li>
 <li>
 A mindset for continuous learning and innovation.
 </li>
 <li>
 Ethical awareness of bias, fairness, and transparency in AI models.
 
 
 </li>
 </ul>
 
 Why this role is important to us
 
 
 
 This role is critical to our mission of leveraging data and AI to drive innovation across our services. As a Data Scientist, your expertise will directly influence strategic decisions, improve customer outcomes, and enhance operational efficiency. You will collaborate closely with professionals from diverse backgrounds - including product, engineering, operations, and business strategy - to solve real-world challenges across multiple domains. Your insights will help shape our data science roadmap and deliver measurable value to the organization.
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 A Bachelor's/Master's/Ph.D. degree in computer science, Statistics, Mathematics, Data Science, or a related field.
 </li>
 <li>
 2+ years of experience in data science or machine learning, with a strong track record of delivering impactful solutions.
 
 
 </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>

Electronic Arts (EA)

<div>
 
 Description &amp; Requirements
 
 
 
 Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
 
 
 We&rsquo;re EA&mdash;the world&rsquo;s largest video game publisher. You&rsquo;re probably familiar with many of our titles&mdash;Madden, FC, Apex Legends, The Sims, Need for Speed, Dead Space, Battlefield and Star Wars, to name a few. But maybe you don&rsquo;t know how we&rsquo;re committed to creating games for every platform&mdash;from social to mobile to console &mdash;to give our players that anytime, anywhere access they demand. What does that mean for you? It means more opportunities to unleash your computing genius.
 
 
 EA&rsquo;s Digital Platform (EADP) organization is responsible for driving critical technology decisions and investments for EA on a global scale, across all divisions and studio teams. Technology and engineering leadership at EA is critical to making the industry&rsquo;s best games &amp; services and the EADP team is leading the way to providing cross-platform services that will keep our consumers connected with our games anytime, anywhere with anyone.
 
 
 Join EA Hyderabad as a Data Scientist I and become a key player in our central engineering team. You'll have the exciting responsibility of developing custom machine learning models to tackle real-world challenges within EA's games. EA&rsquo;s network of games caters to tens of millions of monthly active users. You'll have the opportunity to build solutions that can scale at real time to handle several thousand requests per second and driving the player engagement of many of the industry&rsquo;s most popular titles. If you like solving complex computing problems, are a passionate team player and thrive in a fast paced, ever changing development environment this is a great opportunity for you.
 
 
 What Would You Do
 
 
 <ul>
 <li>
 Develop and implement custom machine learning models for text and image classification.
 </li>
 <li>
 Clean, preprocess, and analyze large datasets, ensuring data quality and integrity.
 </li>
 <li>
 Address and manage imbalanced datasets to optimize model performance.
 </li>
 <li>
 Deploy and host machine learning models, ensuring their scalability and reliability in production environments.
 </li>
 <li>
 Monitor and maintain models in production, implementing feedback loops for continuous improvement.
 </li>
 <li>
 Identify and mitigate biases in models to ensure fairness and accuracy.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.
 </li>
 <li>
 Document processes and model performance, providing insights and recommendations.
 
 
 </li>
 </ul>
 Must have Skills
 
 
 <ul>
 <li>
 Bachelor of Technology or Engineering from a reputed institute
 </li>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, Statistics, or a related field.
 </li>
 <li>
 1-2 years of experience in building and deploying machine learning models.
 </li>
 <li>
 Proficiency in Python or R, with experience in libraries such as TensorFlow, PyTorch, or Scikit-learn.
 </li>
 <li>
 Strong understanding of data preprocessing techniques and handling imbalanced datasets.
 </li>
 <li>
 Experience in deploying models using cloud platforms (AWS, GCP, or Azure).
 </li>
 <li>
 Knowledge of model evaluation metrics and techniques to identify and reduce bias.
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
 </li>
 <li>
 Good understanding of LLM architecture, fine-tuning, and training LLMs.
 </li>
 <li>
 Robust understanding of AI agents.
 </li>
 <li>
 Superb ability to take high level direction, work through ambiguity and drive to execution in an iterative model.
 </li>
 <li>
 Superb ability to translate business requirements into technical design &amp; architecture.
 </li>
 <li>
 Ability to communicate ideas clearly and effectively.
 
 
 </li>
 </ul>
 
 Highly Desired Skills
 
 
 
 <ul>
 <li>
 Practical experience with deep learning architectures (e.g., Transformers, CNNs, RNNs/LSTMs) and applying them effectively in NLP and computer vision projects.
 </li>
 <li>
 Strong understanding of data preprocessing techniques and handling imbalanced datasets.
 </li>
 <li>
 Familiarity with MLOps practices and tools.
 </li>
 <li>
 Experience with containerization (Docker) and orchestration (Kubernetes)....Less
 
 
 </li>
 </ul>
 
 About Electronic Arts
 
 
 
 We&rsquo;re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
 
 
 We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
 
 
 Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
</div>

Data Scientist I

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 In your role, you may be responsible for:
 
 
 <ul>
 <li>
 Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data &amp; incorporating machine learning. techniques in your projects
 </li>
 <li>
 Writing programs to cleanse and integrate data in an efficient and reusable manner
 </li>
 <li>
 Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours
 </li>
 <li>
 Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions.
 </li>
 <li>
 Evaluating modelling results and communicating the results to technical and non-technical audiences
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
 </li>
 <li>
 Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
 </li>
 <li>
 Document solution architectures, design decisions, implementation details, and lessons learned.
 </li>
 <li>
 Create technical documentation, white papers, and best practice guides
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.
 </li>
 <li>
 Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms
 </li>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Experience in python and pyspark will be added advantage
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

PepsiCo

<div>
 
 Overview
 
 
 
 The Data Science Scientist ( Data Scientist) will support the France DX team. This person is responsible for supporting the France commercial data strategy and ecosystem through developing and implementing advanced analytics solution and a comprehensive business intelligence roadmap. The team works closely with the marketing &amp; commercial ecosystem to ensure all commercial data is leveraged in the most optimal way.
 
 
 
 Responsibilities
 
 
 
 As the data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning as appropriate) for sDNA and cDNA for France e.g., prediction of store potential, store segmentation, assortment optimization, asset deployment, audience profiling, etc.
 
 
 Data Analysis and Modeling: Analyzing complex datasets to extract valuable insights and identify trends/patterns. Develop and implement predictive and prescriptive models to support business decision-making. Ensure data quality and integrity throughout the analysis process.
 
 
 <ul>
 <li>
 Working with huge and varied datasets to find sources of strategic advantage in go-to-market and execution, with a focus on Organised Trade, Traditional Trade and Away-From-Home
 </li>
 <li>
 Clean and prepare data for use in advanced analytics, artificial intelligence, and machine learning projects
 </li>
 <li>
 Build analysis in Python with accompanying documentation
 </li>
 <li>
 Designing and using algorithms and building predictive &amp; prescriptive models needed to automate execution and the generation of insights, to enable efficiencies that allow colleagues to focus on value added tasks.
 </li>
 <li>
 Provide responses to ad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data
 </li>
 <li>
 Developing our internal capability to derive insights from structured data, unstructured data through location intelligence, machine learning, collaborative filtering, etc. to unlock new sources of insight that can be used to drive competitive advantage.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or advanced degree in a quantitative field for instance a Master&rsquo;s degree or PhD in data science or math (e.g., Computer Science, Mathematics, Statistics, Data Science) or equivalent experience
 </li>
 <li>
 6 years + of relevant advanced analytics experience in Marketing or Commercial in either Retail, or CPG industries. Other B2C domains can be considered
 </li>
 </ul>
</div>

Data Science Scientist

<div>
 
 Overview
 
 
 
 The Data Science Senior Analyst (Lead Data Scientist) is part of the Data Impact Benelux team. This team is responsible for supporting the Benelux commercial data strategy and ecosystem through developing and implementing advanced analytics solution and a comprehensive business intelligence roadmap. The team works closely with the marketing &amp; commercial ecosystem to ensure all commercial data are leveraged in the most optimal way.
 
 
 
 Responsibilities
 
 
 
 As the lead data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning as appropriate) for sDNA and cDNA for BENLUX markets e.g., prediction of store potential, store segmentation, assortment optimization, asset deployment, audience profiling, etc.
 
 
 The position exists to unlock competitive advantage in go-to-market and execution through cutting edge data science, advanced analytics, and AI techniques, with a focus on OT, TT and AFH for BENLUX. The focus of this role is ensuring the successful implementation of data science solutions that deliver. The role holder will also leverage best practice to help to establish a reusable data science ecosystem.
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or advanced degree in a quantitative field for instance a Master&rsquo;s degree or PhD in data science or math (e.g., Computer Science, Mathematics, Statistics, Data Science) or equivalent experience
 </li>
 <li>
 7 years + of relevant advanced analytics experience in Marketing or Commercial in either Retail, or CPG industries. Other B2C domains can be considered
 </li>
 <li>
 Proven experience with medium to large size data science projects
 </li>
 <li>
 Advanced knowledge of key data science techniques:
 </li>
 <ul>
 <li>
 Combining data from multiple sources through APIs, Semantic Web, etc.
 </li>
 <li>
 Data preparation and feature engineering
 </li>
 <li>
 Supervised / Unsupervised learning
 </li>
 <li>
 Collaborative Filtering
 </li>
 <li>
 Location Analytics &amp; Intelligence
 </li>
 </ul>
 <li>
 Proficiency in programming languages such as Python, R, or SQL.
 </li>
 <li>
 Good to have experience with data processing frameworks (e.g., Hadoop, Spark)
 </li>
 <li>
 Good to have understanding of data engineering principles, data integration, and ETL processes.
 </li>
 <li>
 Excellent problem-solving skills and the ability to translate business needs into data-driven solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to effectively convey complex concepts to both technical and non-technical stakeholders.
 </li>
 </ul>
</div>

Sales Analyst

Hexaware Technologies

<div>
 
 
 Open &amp; Direct Walk-in Drive event | Hexaware technologies, Gen AI &ndash; Specialist, Lead &amp; Architect in Hyderabad, Telangana on 10th January [Saturday] 2026 &ndash; LLM, Python, ML, GEN AI, API Integration, Chat GPT
 
 
 
 
 
 
 Dear Candidate,
 
 
 I hope this email finds you well. We are thrilled to announce an exciting opportunity for talented professionals like yourself to join our team as a Data Scientist &ndash; AI/ML with GEN AI.
 
 
 We are hosting an Open
 
 Walk-in Drive in Hyderabad, Telangana on 10th January [Saturday] 2026
 
 , and we believe your skills in Data Scientist &ndash; AI/ML with GEN AI align perfectly with what we are seeking.
 
 
 
 
 
 
 Details of the Walk-in Drive:
 
 
 <ul>
 <li>
 
 Date: 10th January [Saturday] 2026
 
 </li>
 <li>
 
 Experience: 5 years to 20 years
 
 </li>
 <li>
 
 Time: 9.30 AM to 4PM
 
 </li>
 </ul>
 
 
 
 
 
 Point of Contact: Revathi E - 91-6374298927, Rishal - 8667566298, Sundarkanth - 7397526151
 
 
 
 
 
 
 
 Venue: Marriott Executive Apartments Hyderabad Survey No 133, SLN Terminus, Level 10, beside Botanical Garden Road, Gachibowli, Hyderabad, Telangana 500032
 
 
 
 
 
 
 
 Work Location: Hyderabad &amp; Open to other locations
 
 
 
 
 
 
 Key Skills and Experience: As a Data Scientist &ndash; AI/ML with GEN AI, we are looking for candidates who possess expertise in the following:
 
 <ul>
 <li>
 ML, ML OPS
 </li>
 <li>
 NLP, Deep Learning
 </li>
 <li>
 GEN AI, LLM
 </li>
 <li>
 Vector databases, Lang Chain, Llama Index, Data pipelines, Data Analytics, PyTorch, Hugging Face
 </li>
 </ul>
 
 Roles and Responsibilities: As a part of our dynamic team, you will be responsible for:
 
 <ul>
 <li>
 5 -20 relevant years of experience on Python, NLP, Machine Learning and Deep learning
 </li>
 <li>
 Minimum 1 year of working experience on Gen AI (ChatGPT, LLAMA 2, etc), Vector databases, Lang Chain, Llama Index, Data pipelines, Data Analytics, PyTorch, Hugging Face, MLOps
 </li>
 <li>
 Experience in LLMs fine tuning and deployment
 </li>
 </ul>
 
 Nice to have:
 
 <ul>
 <li>
 Familiarity with server-side templating languages including Jinja 2 and Mako
 </li>
 <li>
 REST API, Flask API, Fast API, Django or Pyramid framework
 </li>
 <li>
 Knowledge of NER and graphs
 </li>
 </ul>
 
 What to Bring:
 
 <ol>
 <li>
 Updated resume
 </li>
 <li>
 Photo ID, Passport size photo
 </li>
 </ol>
 
 How to Register: To express your interest and confirm your participation, please reply to this email with your updated resume attached. Walk-ins are also welcome on the day of the event.
 
 
 This is an excellent opportunity to showcase your skills, network with industry professionals, and explore the exciting possibilities that await you at Hexaware Technologies.
 
 
 If you have any questions or require further information, please feel free to reach out to me at
 
 AzhaguK@hexaware.com - +91-9789518386
 
 
 
 
 
 
 We look forward to meeting you and exploring the potential of having you as a valuable member of our team.
 
</div>

Open Walk-in Drive event | Hexaware technologies, Gen AI – Specialist, Lead & Architect in Hyderabad, Telangana on 10th January [Saturday] 2026 – LLM, Python, ML, GEN AI, API Integration, Chat GPT

Explore 85+ Data scientist in Hyderabad this January. Find roles across top companies and apply now to boost your career.

85 data scientist jobs IN Hyderabad

Data Scientist

Data Scientist

Data Scientist I

Data Scientist-Artificial Intelligence

Data Science Scientist

Sales Analyst

Open Walk-in Drive event | Hexaware technologies, Gen AI – Specialist, Lead & Architect in Hyderabad, Telangana on 10th January [Saturday] 2026 – LLM, Python, ML, GEN AI, API Integration, Chat GPT