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associate business analyst - ai/ml job

data engineer

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machine learning engineer

Golden Opportunities

<div>
 
 Job Description
 
 
 
 Define, build, and lead a team of Data Scientists and Data analysts Discover areas in operations that can be automated through machine learning Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions Work closely with internal stakeholders and align them with respect to your focus area Innovate by adapting new modeling techniques and procedures Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.
 
 
 
 Skills Required
 
 
 
 RoleData Scientist
 
 
 Industry TypeIT/ Computers - Software]
 
 
 Functional AreaIT-Software
 
 
 Required Education
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 MACHINE LEARNING
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1384/2025
 
 
 Recruiter NameRamya V
</div>

Data Scientist - GO/JC/1384/2025

Thomson Reuters

<div>
 Want to be part of the Marketing Data &amp; Analytics organization, whose strategic goal is to create a world-class Data &amp; Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters.
 
 
 We are looking for a highly motivated individual with strong organizational and technical skills for the position of Data Scientist. You will play a critical role working on cutting edge of analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives.
 
 
 
 About The Role
 
 
 
 In this opportunity as Data Scientist, you will:
 
 
 <ul>
 <li>
 Engage with stakeholders, business analysts and project team to understand the data requirements.
 </li>
 <li>
 Work closely with Marketing Business Intelligence group.
 </li>
 <li>
 Work in multiple Marketing domain areas including Demand Generation, Paid Media, Campaign Planning, Digital Activation, Marketing Automation.
 </li>
 <li>
 Design analytical frameworks to provide insights into a business problem.
 </li>
 <li>
 Explore and visualize multiple data sets to understand data available and prepare data for problem solving.
 </li>
 <li>
 Build machine learning models and/or statistical solutions.
 </li>
 <li>
 Build predictive models, generative AI solutions.
 </li>
 <li>
 Use Natural Language Processing to extract insight from text.
 </li>
 <li>
 Design database models (if a data mart or operational data store is required to aggregate data for modelling).
 </li>
 <li>
 Design visualizations and build dashboards in Tableau and/or PowerBI.
 </li>
 <li>
 Extract business insights from the data and models.
 </li>
 <li>
 Present results to stakeholders (and tell stories using data) using power point and/or dashboards.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 You're a fit for the role of Data Scientist if your background includes:
 
 
 <ul>
 <li>
 Experience- 6-10 Years in the field of Machine Learning &amp; AI
 </li>
 <li>
 Must have a minimum of 3 years of experience working in the data science domain
 </li>
 <li>
 Degree preferred in a quantitative field (Computer Science, Statistics, etc.)
 </li>
 <li>
 Both technical and business acumen is required
 </li>
 <li>
 Technical skills
 </li>
 <li>
 Proficient in machine learning, statistical modelling, data science and generative AI techniques
 </li>
 <li>
 Highly proficient in Python and SQL
 </li>
 <li>
 Experience with Tableau and/or PowerBI
 </li>
 <li>
 Has worked with Amazon Web Services and Sagemaker
 </li>
 <li>
 Ability to build data pipelines for data movement using tools such as Alteryx, GLUE
 </li>
 <li>
 Experience Predictive analytics for customer retention, upsell/cross sell products and new customer acquisition, Customer Segmentation, Recommendation engines (customer and AWS Personalize), POC&rsquo;s in building Generative AI solutions (GPT, Llama etc.,)
 </li>
 <li>
 Hands on with Prompt Engineering
 </li>
 <li>
 Experience in Marketing domains like Demand Generation, Paid Media, Campaign Planning, Digital Activation, Marketing Automation.
 </li>
 <li>
 Additional Technical skills include Familiarity with Natural Language Processing including Feature Extraction techniques, Word Embeddings, Topic Modelling, Sentiment Analysis, Classification, Sequence Models and Transfer Learning
 </li>
 <li>
 Knowledgeable of AWS APIs for Machine Learning
 </li>
 <li>
 Has worked with Snowflake extensively.
 </li>
 <li>
 Good presentation skills and the ability to tell stories using data and Powerpoint/Dashboard Visualizations.
 </li>
 <li>
 Ability to communicate complex results in a simple and concise manner at all levels within the organization.
 
 
 
 </li>
 </ul>
 
 What&rsquo;s in it For You?
 
 
 
 <ul>
 <li>
 Hybrid Work Model: We&rsquo;ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
 </li>
 <li>
 Flexibility &amp; Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
 </li>
 <li>
 Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow&rsquo;s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
 </li>
 <li>
 Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
 </li>
 <li>
 Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
 </li>
 <li>
 Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
 </li>
 <li>
 Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
 
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
 
 
 We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
 
 
 As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
 
 
 We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.
 
 
 Learn more on how to protect yourself from fraudulent job postings here.
 
 
 More information about Thomson Reuters can be found on thomsonreuters.com.
 
 
</div>

Data Scientist

BeGig

<div>
 
 Job Role-
 
 Data Scientist
 
 
 
 Job Type- Contract
 
 
 Duration- 3 months with possible extension as per the performance.
 
 
 Work mode- onsite(5.5 days in a week)
 
 
 Location - Hyderabad
 
 
 
 
 
 We&rsquo;re looking for a
 
 multi-skilled Data Scientist
 
 to support our client&rsquo;s digital transformation initiatives across
 
 sales, procurement, supply chain
 
 , and
 
 executive decision-making
 
 .
 
 
 This role involves developing data-driven solutions that improve forecasting, logistics efficiency, and business intelligence.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Forecasting &amp; Predictive Modelling:
 
 Build demand and price prediction models for dairy and agri-based products.
 </li>
 <li>
 
 Logistics Optimization:
 
 Develop algorithms for route planning and vehicle utilization using optimization techniques.
 </li>
 <li>
 
 Analytics &amp; Insights:
 
 Create dashboards and generate insights from CRM, ERP, GPS, and app data.
 </li>
 <li>
 
 Gamification &amp; App Analytics:
 
 Collaborate with mobile and marketing teams to enhance user engagement.
 </li>
 <li>
 
 Cloud &amp; Data Engineering:
 
 Automate data pipelines (Python + SQL) and deploy models on cloud platforms.
 </li>
 <li>
 
 Stakeholder Collaboration:
 
 Partner with business leaders to define problems, present analytical solutions, and promote adoption.
 </li>
 </ul>
 
 
 Skills &amp; Competencies
 
 
 
 
 Must Have:
 
 Python, SQL, Machine Learning, Time-Series Forecasting, Power BI, Optimization Models
 
 
 
 Preferred:
 
 Cloud platforms (AWS), Firebase/App Analytics Tools, Google OR-Tools/PuLP, Gamification Concepts
 
 
 
 Bonus:
 
 R, NLP/CV, Deep Learning, APIs for weather/inventory
 
 
 
 Qualification
 
 
 <ul>
 <li>
 B.Tech/M.Tech/M.Sc. in Data Science, Computer Science, Statistics, or related fields
 </li>
 <li>
 Certifications in Python, ML, or Cloud preferred
 </li>
 <li>
 MBA or business exposure is a plus
 </li>
 </ul>
 
 
 Ideal Candidate
 
 
 <ul>
 <li>
 3&ndash;6 years of experience in data science roles
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Hands-on experience in forecasting, optimization, app analytics, and dashboards
 </li>
 <li>
 Independent contributor with cross-functional collaboration skills
 </li>
 </ul>
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work directly on digital strategy initiatives with senior leadership
 </li>
 <li>
 Freedom to experiment with AI/ML in real-world business scenarios
 </li>
 <li>
 Cross-functional exposure across sales, procurement, IT, and supply chain
 </li>
 </ul>
 
 
</div>

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 Job Description: EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 
 Role Overview:
 
 We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
 </li>
 <li>
 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
 <li>
 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
 <li>
 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
 <li>
 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
 <li>
 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
 <li>
 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
 </li>
 <li>
 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
 </li>
 <li>
 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
 </li>
 <li>
 Implement monitoring and logging tools to ensure AI model performance and reliability.
 </li>
 <li>
 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
 </li>
 <li>
 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

EY - GDS Consulting - AI and DATA -Gen AI - Senior

Advance Auto Parts

<div>
 
 Job Description
 
 
 
 
 WHO WE ARE
 
 
 
 Come join our Technology Team and start reimagining the future of the automotive aftermarket. We are a highly motivated tech-focused organization, excited to be amid dynamic innovation and transformational change. Driven by Advance&rsquo;s top-down commitment to empowering our team members, we are focused on delighting our Customers with Care and Speed, through delivery of world class technology solutions and products.
 
 
 We value and cultivate our culture by seeking to always be collaborative, intellectually curious, fun, open, and diverse. You will be a key member of a growing and passionate group focused on collaborating across business and technology resources to drive forward key programs and projects building enterprise capabilities across Advance Auto Parts.
 
 
 
 Key Responsibilities
 
 
 
 
 Model Development &amp; Technical Expertise
 
 
 
 <ul>
 <li>
 Design and implement predictive and prescriptive models for regression, classification, and optimization problems.
 </li>
 <li>
 Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM).
 </li>
 <li>
 Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch.
 </li>
 <li>
 Write efficient, production-ready code and frameworks optimized for scalability and deployment.
 </li>
 <li>
 Familiarity of GenAI and agentic solutions, Retrieval-Augmented Generation (RAG) and model distillation is a plus.
 
 
 </li>
 </ul>
 
 Collaboration &amp; Communication
 
 
 
 <ul>
 <li>
 Work closely with stakeholders to understand business challenges and translate them into data science solutions and work in the end-to-end solutioning.
 </li>
 <li>
 Collaborate with cross-functional teams to ensure successful integration of models into business processes.
 
 
 </li>
 </ul>
 
 Monitoring &amp; Visualization
 
 
 
 <ul>
 <li>
 Rapidly prototype and test hypotheses to validate model approaches.
 </li>
 <li>
 Build automated workflows for model monitoring and performance evaluation.
 </li>
 <li>
 Create dashboards using tools like Databricks and Palantir to visualize key model metrics like model drift, shapley values etc.
 
 
 </li>
 </ul>
 
 Agile Execution
 
 
 
 <ul>
 <li>
 Operate effectively in Agile environments, contributing to iterative development cycles and sprint planning.
 </li>
 <li>
 Adapt quickly to changing priorities while maintaining high standards of quality and innovation.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or a related field.
 
 
 </li>
 </ul>
 
 California Residents Click Below For Privacy Notice
 
 
 
 https://jobs.advanceautoparts.com/us/en/disclosures
 
 
 We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class.
</div>

ValGenesis

<div>
 
 About ValGenesis
 
 
 ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle.
 
 
 Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ
 
 
 About the Role:
 
 
 
 🚀 We're Hiring Engineers Across All Levels! 🚀
 
 
 Are you ready to build the future with us? At
 
 ValGenesis
 
 , we're scaling rapidly and expanding our engineering teams across multiple functions. Whether you're a seasoned expert or an emerging talent, we have exciting opportunities for you to grow, innovate, and make an impact.
 
 
 
 Location:
 
 
 Our Offices are in the following locations:
 
 
 Chennai: Taramani, Chennai
 
 
 Bengaluru: Bengaluru, Karnataka
 
 
 Hyderabad: Ranga Reddy, Telangana
 
 
 🔧 What We&rsquo;re Hiring For 🔧:
 
 
 We&rsquo;re looking for engineers with
 
 2 to 12 years of experience
 
 across a variety of disciplines, including but not limited to:
 
 
 
 Software Engineering
 
 (Frontend, Backend, Full Stack)
 
 
 
 DevOps &amp; Infrastructure
 
 
 
 Data Engineering &amp; Analytics
 
 
 
 Machine Learning &amp; AI
 
 
 
 Quality Assurance &amp; Automation
 
 
 
 Embedded Systems &amp; Hardware
 
 
 
 Product &amp; Platform Engineering
 
 
 🌟 What You&rsquo;ll Do 🌟:
 
 
 Collaborate with cross-functional teams to design, build, and scale cutting-edge solutions.
 
 
 Solve complex technical challenges with creativity and efficiency.
 
 
 Contribute to a culture of innovation, ownership, and continuous improvement.
 
 
 🎯 What We&rsquo;re Looking For🎯 :
 
 
 Proven experience in engineering roles (2&ndash;12 years).
 
 
 Strong problem-solving skills and a passion for technology.
 
 
 Ability to work in a fast-paced, collaborative environment.
 
 
 Experience with modern tools, frameworks, and methodologies relevant to your domain.
 
 
 
 Ready to take the next step?
 
 
 Apply now. Let&rsquo;s build something amazing together.
 
 
 
 We&rsquo;re on a Mission
 
 
 In 2005, we disrupted the life sciences industry by introducing the world&rsquo;s first digital validation lifecycle management system. ValGenesis VLMS&reg; revolutionized compliance-based corporate validation activities and has remained the industry standard.
 
 
 Today, we continue to push the boundaries of innovation &horbar; enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations.
 
 
 
 The Team You&rsquo;ll Join
 
 
 Our customers&rsquo; success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity&rsquo;s quality of life, and we honor that mission.
 
 
 We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done.
 
 
 We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward.
 
 
 We&rsquo;re in it to win it. We&rsquo;re on a path to becoming the number one intelligent validation platform in the market, and we won&rsquo;t settle for anything less than being a market leader.
 
 
 
 How We Work
 
 
 Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company.
 
 
 ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.
</div>

Calling all Software Engineers!

YASH Technologies

<div>
 YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.
 
 
 At YASH, we&rsquo;re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth &ndash; bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.
 
 
 
 We are looking forward to hire AI Professionals in the following areas :
 
 
 
 
 Experience
 
 
 
 1-5 Years
 
 
 
 Responsibilities
 
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Natural lang., processing and AI/Gen AI/ML skills
 </li>
 <li>
 Python skills
 </li>
 <li>
 SQL Query skills (optional)
 </li>
 <li>
 Basic UI interface building skills and Javascript skills
 </li>
 <li>
 Good comm.,(oral/written)
 
 
 </li>
 </ul>
 At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.
 
 
 
 Our Hyperlearning workplace is grounded upon four principles
 
 
 
 <ul>
 <li>
 Flexible work arrangements, Free spirit, and emotional positivity
 </li>
 <li>
 Agile self-determination, trust, transparency, and open collaboration
 </li>
 <li>
 All Support needed for the realization of business goals,
 </li>
 <li>
 Stable employment with a great atmosphere and ethical corporate culture
 </li>
 </ul>
</div>

Associate Business Analyst - AI/ML Job

Explore 79+ Machine learning engineer in Hyderabad this November. Find roles across top companies and apply now to boost your career.

79 machine learning engineer jobs IN Hyderabad

Data Scientist - GO/JC/1384/2025

Data Scientist

Data Scientist

EY - GDS Consulting - AI and DATA -Gen AI - Senior

Data Scientist

Calling all Software Engineers!

Associate Business Analyst - AI/ML Job