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

associate, ml data operations, go-ai operations

data & ai strategist

data engineer

data scientist

data scientist-artificial intelligence Jobs in Bangalore

data scientist-artificial intelligence

data scientist artificial intelligence

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 Scale an existing RAG code base for a production grade AI application Requirements: Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases
 </li>
 <li>
 Experience using LLMs in software applications, including prompting, calling, and processing outputs
 </li>
 <li>
 Experience with AI frameworks such as LangChain
 </li>
 <li>
 Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure
 </li>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
 </li>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. .
 </li>
 <li>
 Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
 </li>
 <li>
 Demonstrate a growth mindset to understand clients' business processes and challenges
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field.
 </li>
 <li>
 Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions
 </li>
 <li>
 Ability to communicate results to technical and non-technical audiences
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

NTT DATA North America

<div>
 
 Req ID:
 
 344979
 
 
 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
 
 We are currently seeking a Financial modeling/Data Analysis, Microsoft Excel, Power BI - Developer to join our team in Bangalore, Karn&amacr;taka (IN-KA), India (IN).
 
 
 Financial modeling/Data Analysis, Microsoft Excel, Power BI - Developer
 
 
 TBC: Research and Data Analytics (ARD)
 
 
 Must have skills:
 
 
 Strong research capabilities, with the ability to identify reliable information from multiple sources such as Pitchbook, Capital IQ, Bloomberg, etc. to support strategic decision-making through valuable insights, competitor analysis, and executive-level presentations.
 
 
 Strong proficiency in Microsoft Excel (pivot tables, financial modeling, data analysis)
 
 
 Knowledge of Financial statements (Income statements and Balance Sheet)
 
 
 Attention to detail, especially in all aspects of report making from research to preparation of presentation and client interaction.
 
 
 Good to have skills:
 
 
 Proven experience in PowerBI for building dashboards or Ad hoc analyses.
 
 
 Willing to work on automation projects to drive efficiency
 
 
 
 Minimum Experience On Key Skills
 
 
 
 6-9yrs
 
 
 General Expectation
 
 
 <ul>
 <li>
 Must have Good Communication
 </li>
 <li>
 Must be ready to work in 10:30 AM to 8:30 PM Shift
 
 
 </li>
 </ul>
 
 About NTT DATA
 
 
 
 NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
 
 
 Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client&rsquo;s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
 
 
 
 
 NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us.
 
 
 
 
 This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
 
 
</div>

Financial modeling/Data Analysis, Microsoft Excel, Power BI - Developer

<div>
 
 Req ID:
 
 337673
 
 
 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
 
 We are currently seeking a Business Analyst - Data to join our team in Bangalore, Karn&amacr;taka (IN-KA), India (IN).
 
 
 "Job Duties: The Data Business Analysts will manage, facilitate and execute the requirements management processes that are put in place for the ODIE programme.
 
 
 The Data Business Analysts will also provide input to the design and maintenance of these requirements management processes.
 
 
 Minimum Skills Required:
 
 
 <ul>
 <li>
 Understand the BA organisation, identify the relevant parties and stakeholders for DPF processes
 </li>
 <li>
 Form working relationships with relevant stakeholders to facilitate communication and understanding
 </li>
 <li>
 Proactively seek out business needs and expectations from across ODIE and relevant and suitable parts of the wider BA organisation, digest and translate these into suitable objects (e.g. requirements, epics, user stories, outcomes)
 </li>
 <li>
 Manage and communicate the processes of the requirements lifecycle and prioritisation.
 </li>
 <li>
 Ensure that requirements (and related concepts) are sufficient to allow high quality design, engineering and testing to meet the agreed expectations and needs of the business
 </li>
 <li>
 Ensure that requirements (and related concepts) are recorded, tracked, measured, audited and managed across the programme.
 
 
 </li>
 </ul>
 IDEAL PRIOR EXPERIENCE:
 
 
 <ul>
 <li>
 Has worked with a range of data platforms and solutions
 </li>
 <li>
 Has been involved in understanding, developing and communicating technical requirements for data solutions
 </li>
 <li>
 Experience working within a complex and/or high pressure environment with technical and business stakeholders
 </li>
 <li>
 Knowledge and experience working with a range of data technologies"
 
 
 </li>
 </ul>
 
 About NTT DATA
 
 
 
 NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
 
 
 Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client&rsquo;s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us .
 
 
 
 NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us .
 
 
 This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .
 
</div>

Business Analyst - Data

Infosys

<div>
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 4+ years of total experience, with 3+ years in data engineering and business intelligence.
 </li>
 <li>
 4+ years of hands-on experience in Python and other open-source data engineering tools.
 </li>
 <li>
 Strong expertise in data engineering, data handling, and statistical programming using modern IT tools.
 </li>
 <li>
 Understanding of Data Warehousing, Business Intelligence, and ETL processes.
 </li>
 <li>
 Proficiency and experience with Apache Spark and Big Data technologies (e.g., Hadoop, Hive).
 </li>
 <li>
 Proven experience in Agile methodologies, including iterative development and sprint planning.
 </li>
 <li>
 Experience working in highly regulated environments, ensuring data governance and compliance.
 </li>
 <li>
 Familiarity with release governance processes and incident management tools (e.g., ServiceNow, JIRA).
 </li>
 <li>
 Exposure to cloud platforms (AWS, Azure, GCP). Key Responsibilities
 </li>
 <li>
 Lead end-to-end data engineering and reporting engagements, from requirement gathering to solution development.
 </li>
 <li>
 Design and implement scalable data pipelines, data model, and process frameworks.
 </li>
 <li>
 Collaborate with stakeholders, providing domain and technical thought.
 </li>
 <li>
 Perform Fit/Gap analysis and translate business needs into actionable data solutions.
 </li>
 <li>
 Develop interactive dashboards and reports using visualization tools or Python-based libraries.
 </li>
 <li>
 Ensure data quality, governance, and compliance across reporting solutions.
 </li>
 <li>
 Conduct performance tuning and optimization of data workflows and visualizations.
 </li>
 <li>
 Ensure compliance with release governance and manage incidents using industry-standard tools.
 </li>
 <li>
 Contribute to Unit/Organizational initiatives, including Centers of Excellence (COEs) and innovation programs.
 </li>
 </ul>
</div>

Data Engineer

<div>
 
 Req ID:
 
 341160
 
 
 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
 
 We are currently seeking a Data &amp; AI Strategist to join our team in Bangalore, Karn&amacr;taka (IN-KA), India (IN).
 
 
 
 Data and AI Strategy Consultant &ndash; Grade 12
 
 
 
 We are seeking a visionary and innovative Data &amp; AI Strategist Leader to join our team. This role requires a dynamic individual with a unique blend of strategic thinking, exceptional leadership skills, and the ability to inspire and drive transformative changes. The role involves conducting maturity assessments, defining target-state visions, and developing strategic roadmaps to unlock business value from data and AI investments. The individual will act as a trusted advisor to C-suite executives and business leaders across industries.
 
 
 The role will work cross-functionally with technology, business, and leadership teams to help clients design and execute their enterprise-wide data and AI transformation journeys
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Visionary Leadership: Develop and articulate a compelling vision for the future, driving the organization towards achieving strategic goals build and design road maps.
 </li>
 <li>
 Strategic Planning: Lead the development and implementation of strategic plans that align with the company&rsquo;s mission and objectives.
 </li>
 <li>
 Engage with clients across industries to understand business challenges and opportunities.
 </li>
 <li>
 Conduct current-state assessments of client data, AI, and analytics maturity.
 </li>
 <li>
 Benchmark capabilities against industry standards and best practices.
 </li>
 <li>
 Define target-state operating models, data governance frameworks, and AI adoption strategies.
 </li>
 <li>
 Develop strategic roadmaps that balance near-term quick wins with long-term enterprise transformation.
 </li>
 <li>
 Present executive-level recommendations to C-level stakeholders.
 </li>
 <li>
 Support business development by contributing to proposals, thought leadership, and client workshops.
 </li>
 <li>
 Stay abreast of market trends and emerging technologies to guide clients on innovation.
 
 
 </li>
 </ul>
 
 Basic Qualifications:
 
 
 
 <ul>
 <li>
 15+ years of experience in Data and AI with 5+ years in consulting/advisory roles focused on data strategy, AI, or digital transformation.
 </li>
 <li>
 Proven track record of delivering client-facing strategy engagements.
 </li>
 <li>
 Strong knowledge of AI/ML, cloud platforms (AWS, Azure, GCP), and enterprise data management.
 </li>
 <li>
 Excellent storytelling, presentation, and stakeholder engagement skills.
 </li>
 <li>
 Strong business acumen with the ability to link data &amp; AI strategy to measurable outcomes.
 </li>
 <li>
 Lead enterprise-wide assessment of data and AI maturity, including technology, processes, and people.
 </li>
 <li>
 Define the target-state vision for the organization&rsquo;s data and AI capabilities.
 </li>
 <li>
 Develop a multi-year roadmap for adoption, including quick wins and long-term initiatives.
 </li>
 <li>
 Partner with business units to identify high-value AI use cases and ensure alignment with strategic priorities.
 </li>
 <li>
 Establish data governance, ethics, and compliance frameworks.
 </li>
 <li>
 Collaborate with IT and data engineering teams to align platform and architecture strategy.
 </li>
 <li>
 Track and measure the impact of AI and data initiatives through defined KPIs.
 </li>
 <li>
 Provide executive leadership with insights and recommendations to support investment decisions
 </li>
 <li>
 Deep knowledge of enterprise data management, AI governance, and cloud data platforms.
 </li>
 <li>
 Experience with maturity assessments, capability building, and operating model design.
 </li>
 <li>
 Strong stakeholder management and cross-functional collaboration skills.
 </li>
 <li>
 Ability to translate technical concepts into strategic business value
 
 
 </li>
 </ul>
 
 Preferred Skills:
 
 
 
 <ul>
 <li>
 Experience with data modeling, ETL processes, data integration, data warehousing and AI tools.
 </li>
 <li>
 Knowledge of Gen AI and Agentic AI
 </li>
 <li>
 Have Architected Cloud Data and AI Platforms
 </li>
 <li>
 Experience with Snowflake and Databricks
 
 
 </li>
 </ul>
 
 About NTT DATA
 
 
 
 NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
 
 
 Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client&rsquo;s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
 
 
 
 
 NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us.
 
 
 
 
 This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
 
 
</div>

Data & AI Strategist

Adobe

<div>
 
 Our Company
 
 
 
 Changing the world through digital experiences is what Adobe&rsquo;s all about. We give everyone&mdash;from emerging artists to global brands&mdash;everything they need to design and deliver exceptional digital experiences! We&rsquo;re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
 
 
 We&rsquo;re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
 
 
 <ul>
 <li>
 com Data Scientist/Analyst &ndash; Insights, Growth, SEO, and Forecasting
 </li>
 <li>
 com Data Scientists/Analysts are a part of the A.com Digital Media (DMe - Consumer business) and Digital Experience (DX &ndash; Enterprise business) product analytics teams and operate across a broad spectrum of responsibilities such as web analytics, cross-surface data stitching/insights, hypothesis testing &amp; optimization, SEO analytics, forecasting, data modeling, and data sciences. The analysts are responsible for driving deeper customer analytics and insights using Adobe Experience Cloud (i.e., Adobe Analytics, CJA, Adobe Debugger) and Big Data Platform (Hadoop/Hive/DBx) to develop deep and meaningful insights across multiple web surfaces. As a member of the global team, you will be involved in analytics associated with various surfaces like Adobe.com, mobile, web apps, web products, and desktop apps (i.e., Creative Cloud Desktop).
 
 
 </li>
 </ul>
 
 Job Description:
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Location - Noida/Bangalore
 </li>
 <li>
 Experience - 3 to 5 yrs
 </li>
 <li>
 Utilize best-in-class analytics tools, including Adobe Experience Cloud (e.g., Adobe Analytics, CJA, etc.) and Hive/SQL to stitch, assess, interpret, and analyze data to deliver insights and understanding of visitor/customer behavior on key Adobe business surfaces like A.com web, mobile, web apps, desktop apps, products, checkout flows etc.
 </li>
 <li>
 Ability to draw insights from structured and unstructured data. Proactively identify and analyze trends within the data to understand visitor/customer behavior, market dynamics and surface performance using associated business performance metrics like Traffic, CVR, Product mix, High Value Actions, SEO ranking, ARR, Product engagement, LTV, CTR etc.
 </li>
 <li>
 To work with Marketing, Finance, Product, and eCommerce teams to understand end to end customer journeys on various surfaces, draw insights from the same, support RTB process, launch measurements and business targets tracking.
 </li>
 <li>
 Creation, enhancement, and application of various models used across A.com teams for Forecasting, SEO, LTV, Optimization, Next best action/product, Keyword clustering, CTR models and more.
 </li>
 <li>
 Ownership of SEO analytics including SEO data mart and various dashboards, creation, and enhancement of statistical and mathematical models for SEO and update the leadership on the evolutions in the SEO space.
 </li>
 <li>
 Ownership and sound understanding of the business, science and techniques used to set business targets for different Adobe business surfaces using various data science models and forecasting methodologies.
 </li>
 <li>
 Review test hypotheses, help develop comprehensive growth plans and success metrics along with performing quality assurance on test set ups and targeted audiences. Analyze test results and craft meaningful test summaries to provide interpretation, guidance, recommendations, and actionable insights for key business stakeholders.
 </li>
 <li>
 To understand diverse customer intent using voice of the customer analytics and to provide actionable insights for key business stakeholders.
 </li>
 <li>
 Ability to parse, stitch, and draw meaningful insights from different Adobe data sources (online, product usage, financial etc.) to better understand the cross-surface journeys across Adobe.com and Adobe products to optimize for growth and engagement KPI&rsquo;s agreed upon with products teams.
 </li>
 <li>
 Partner with data engineering team to drive creation of reports and dashboards to visually communicate insights effectively. Make complex findings easily understandable, by highlighting key takeaways and actionable recommendations.
 
 
 </li>
 </ul>
 Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 
 
 Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
</div>

Data Scientist/Analyst

<div>
 
 Maximize Your Impact with TP
 
 
 
 Welcome to TP, a global hub of innovation and empowerment, where we redefine the future. With a remarkable &euro;10 billion annual revenue and a global team of 500,000 employees serving 170 countries in over 300 languages, we lead in intelligent, digital-first solutions.
 
 
 As a globally certified Great Place to Work in 72 countries, our culture thrives on diversity, equity, and inclusion. We value your unique perspective and believe that your talent is the missing piece that completes our vision for a brighter, digitally driven tomorrow.
 
 
 
 The Opportunity
 
 
 
 TP.ai Data Services partners with the world&rsquo;s leading technology companies to design, build, and scale trustworthy AI systems. We deliver high-quality, multi-modal data solutions that fuel innovations in Generative AI, Computer Vision, NLP, RLHF, and Trust &amp; Safety. Our mission is to ensure AI systems are not only high-performing but also responsible, reliable, and ready for global scale.
 
 
 We are seeking a Data Scientist (AI/ML Ops) to take a central role in shaping how AI models are operationalized and brought to life at scale. In this role, you will design, implement, and optimize advanced data pipelines, model evaluation frameworks, and monitoring processes that ensure AI systems are trained and deployed with accuracy, efficiency, and compliance. You&rsquo;ll apply your expertise in data science and ML operationalization to create automated feedback loops, establish robust evaluation metrics, and drive continuous improvement across the AI lifecycle.
 
 
 This is a high-impact opportunity to work on frontier AI initiatives with global reach, partnering directly with leading Big Tech enterprises. You will collaborate closely with Data Engineers, AI Researchers, IT, and Product Teams to translate complex business challenges into data-driven solutions, while influencing best practices in Responsible AI and MLOps. Beyond building pipelines and models, you&rsquo;ll help define the standards for how safe, scalable, and trustworthy AI systems are delivered worldwide.
 
 
 
 The Responsibilities &amp; Duties
 
 
 
 <ul>
 <li>
 Design data preprocessing pipelines for multi-modal datasets (text, audio, video, images).
 </li>
 <li>
 Engineer features and transformations for model training, fine-tuning, and evaluation.
 </li>
 <li>
 Apply data augmentation, synthetic data generation, and bias mitigation techniques.
 </li>
 <li>
 Develop and evaluate ML models for classification, ranking, clustering, and anomaly detection tailored to operational use cases.
 </li>
 <li>
 Expertise in power analysis, significance testing, and advanced methods such as bootstrapping and Bayesian inference.
 </li>
 <li>
 Create offline/online evaluation metrics (accuracy, F1, precision/recall, latency, fairness metrics) to track model performance.
 </li>
 <li>
 Support RLHF pipelines by integrating human feedback into model optimization loops.
 </li>
 <li>
 Collaborate with engineering teams to integrate models into production pipelines.
 </li>
 <li>
 Design automated monitoring, retraining triggers, and continuous improvement loops to maintain model quality in dynamic environments.
 </li>
 <li>
 Build dashboards and reporting frameworks for real-time monitoring of model and data health.
 </li>
 <li>
 Define labeling strategies, taxonomy structures, and annotation guidelines for supervised learning.
 </li>
 <li>
 Partner with annotation platforms to ensure accuracy, throughput, and SLA compliance.
 </li>
 <li>
 Perform statistical quality checks (inter-annotator agreement, sampling-based audits).
 </li>
 <li>
 Partner with clients, product teams, and operations leads to translate business problems into data/ML solutions.
 </li>
 <li>
 Work with Legal/Privacy teams to ensure datasets meet regulatory and ethical AI standards.
 </li>
 <li>
 Contribute to internal best practices, reusable frameworks, and knowledge bases for AI/ML Operations.
 
 
 </li>
 </ul>
 
 The Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Data Science, Applied Mathematics, or related fields.
 </li>
 <li>
 5+ years of experience in ML/AI data science with a focus on operational deployment.
 </li>
 <li>
 Track record of delivering ML models into production environments at scale.
 </li>
 <li>
 Programming: Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow), SQL.
 </li>
 <li>
 ML Techniques: Supervised/unsupervised learning, NLP, CV, RLHF.
 </li>
 <li>
 MLOps Tools: MLflow, Kubeflow, SageMaker, Vertex AI, or similar.
 </li>
 <li>
 Data Handling: Spark, Dataflow, or equivalent big data frameworks.
 </li>
 <li>
 Visualization &amp; Reporting: Tableau, Looker, or similar BI tools.
 </li>
 <li>
 Experience with Generative AI model evaluation (LLMs, diffusion models).
 </li>
 <li>
 Knowledge of Responsible AI frameworks (bias/fairness metrics, explainability).
 </li>
 <li>
 Exposure to Trust &amp; Safety operations or high-volume data environments.
 
 
 </li>
 </ul>
 
 Pre-Employment Screenings
 
 
 
 By TP policy, employment in this position will be contingent on your successful completion and passage of a comprehensive background check, including global sanctions and watch list screening.
 
 
 
 Important | Policy on Unsolicited Third-Party Candidate Submissions
 
 
 
 TP does not accept candidate submissions from unsolicited third parties, including recruiters or headhunters. Applications will not be considered, and no contractual association will be established through such submissions.
 
 
 
 Diversity, Equity &amp; Inclusion
 
 
 
 At TP, we are committed to fostering a diverse, equitable, and inclusive workplace. We welcome individuals from all backgrounds and lifestyles and do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or other differences.
 
 
</div>

Data Scientist

Explore 59+ Data scientist artificial intelligence in Bangalore this November. Find roles across top companies and apply now to boost your career.