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ai scientist - 2 Jobs in Associate Talent Acquisition Advisory Consulting Ifs Bangalore Jobs In Mangaluru

ai scientist - 2

data scientist

Alaan الآن

<div>
 
 
 About Alaan
 
 
 
 Alaan is the SuperCard&trade; for businesses and the most loved fintech in the Middle East. Our mission is to simplify finance for businesses so they can save time and money.
 
 
 Alaan provides everything businesses need to manage and control expenses, including the SuperCard&trade;, AI-powered automation and insights, streamlined accounting, and centralized dashboards, all in one place.
 
 
 
 
 
 Over 1500 businesses in the UAE and KSA, from startups to enterprises, use Alaan to control spending and save costs.
 
 
 
 
 
 Backed by Y Combinator and top global investors- including founders and executives of leading startups - Alaan is built by a world-class team from McKinsey, BCG, Goldman Sachs, Barclays, Zomato, Careem, Rippling, and other high-growth companies.
 
 
 
 
 
 We&rsquo;re not just building software. We&rsquo;re reimagining how finance works for modern businesses across the region.
 
 
 
 
 
 
 About the role
 
 
 
 At Alaan, we&rsquo;re building the modern financial stack for businesses across MENA&mdash;empowering companies to manage cards, payments, and expenses with intelligence and automation. A key part of this vision is our ML-powered product features, which drive smarter decisions, faster processes, and better customer experiences.
 
 
 
 
 
 We&rsquo;re looking for a strategic, senior-level Data Scientist to own the entire lifecycle of our machine learning features - from concept to production - and to act as the bridge between data science, engineering, and product. This is not just a modeling role - you&rsquo;ll be setting the vision, defining the strategy, and ensuring that every AI-driven feature in our product is impactful, robust, and continuously improving.
 
 
 
 
 
 If you&rsquo;re excited by the idea of taking a feature from 80% to 90%+ accuracy, love working cross-functionally, and want to lead high-impact AI initiatives in fintech, this is the role for you.
 
 
 
 
 
 
 What you'll do
 
 
 <ul>
 <li>
 Define the Data Science Strategy: Translate product goals into clear, testable data science problems and technical requirements. Own the &ldquo;what&rdquo; and the &ldquo;why&rdquo; for ML initiatives.
 </li>
 <li>
 Oversee the Modeling Lifecycle: Lead the team through Proof-of-Concepts (POCs), benchmarking, and productionization. Provide expert feedback on model selection, feature engineering, and validation.
 </li>
 <li>
 Set Success Criteria: Define robust metrics, benchmarks, and offline/online evaluation methods to measure success across the lifecycle.
 </li>
 <li>
 Drive Iterative Improvement: Monitor in-production performance, run A/B tests, and formulate experiments to push accuracy, efficiency, and user impact to the next level.
 </li>
 <li>
 Ensure Technical Excellence: Act as the quality gatekeeper&mdash;ensuring models are well-architected, scalable, and production-ready before deployment.
 </li>
 <li>
 Lead Cross-Functional Delivery: Collaborate with Data Scientists, ML Engineers, Analysts, and Backend Engineers to ensure seamless execution and alignment with business goals.
 </li>
 </ul>
 
 
 
 
 
 What we are looking for
 
 
 <ul>
 <li>
 5+ years of experience in data science, with a proven record of delivering ML features to production.
 </li>
 <li>
 Deep ML expertise and strong grasp of the entire ML lifecycle - model design, training, validation, deployment, monitoring, and iteration.
 </li>
 <li>
 Strategic thinking ability to connect business needs to data science solutions, and prioritize based on impact.
 </li>
 <li>
 Leadership &amp; mentorship experience of guiding teams, providing constructive technical feedback, and raising the quality bar.
 </li>
 <li>
 Communication ability to explain complex technical topics clearly to both technical and non-technical audiences.
 </li>
 <li>
 Lifecycle mastery and first-hand experience taking models from concept to production, troubleshooting failures, and leading improvements.
 </li>
 <li>
 Prior experience as a Tech Lead or Principal Data Scientist.
 </li>
 <li>
 Expertise in MLOps tools and best practices.
 </li>
 <li>
 Fintech domain experience.
 </li>
 </ul>
 
 
 
 
 
 
 ﻿
 
 What's in it for you
 
 
 <ul>
 <li>
 Contribute to building the Middle East&rsquo;s most beloved fintech brand from the ground up
 </li>
 <li>
 Benefit from a role with significant ownership and accountability
 </li>
 <li>
 Thrive in a flexible hybrid culture with ample work-life balance
 </li>
 <li>
 Participate in exciting offsite events
 </li>
 <li>
 Competitive salary and equity
 </li>
 <li>
 Enjoy additional perks like travel allowances, gym memberships, and more
 </li>
 </ul>
 
 
 
</div>

Data Scientist

Tata Consultancy Services

<div>
 
 
 Job title: Data Scientist
 
 
 
 
 Job Location: Pan India
 
 
 
 
 Experience : 8+ Years
 
 
 
 
 
 
 
 Virtual Interview : 21st Nov (Friday)
 
 
 
 
 
 
 its business through Artificial Intelligence, bringing our unique culture of innovation and
 
 leading through doing
 
 to transform our asset and employee productivity. The key mission of this role will be to develop and deliver AI solutions and systems to deliver on this vision,
 
 
 with specific focus on NLP and LLM applications
 
 
 . The right candidate will bring a strong curiosity and technical perspective to these challenges, including experience in data science and AI algorithm and system design, specifically on NLP and LLMs, along with a drive for delivering outcomes and working software in cross-functional teams.
 
 
 
 
 
 
 
 <ul>
 <li>
 Strong knowledge of data science tools and technologies, and software development best practices including programming languages such as Python and the use of Git
 </li>
 <li>
 Experience in NLP (including traditional NLP and NLU algorithms) and LLMs is essential
 </li>
 <li>
 Strong understanding and practical experience in statistics and machine learning, including causal inference and experimental design
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Design, development and implementation of AI systems, with focus on NLP and LLM applications
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Help identify, quantify and validate efficiency and productivity opportunities for AI systems using data from a wide range of sources
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Engage and collaborate with internal and external stakeholders to shape AI system requirements
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Identify opportunities for implementing AI and ML in our operations and implement them. Develop and refine algorithms to improve process efficiency and effectiveness
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Monitor model performance and continuously improve accuracy and reliability. Staying up to date with developments in AI and ML, and incorporating new techniques and technologies into our AI system design
 </li>
 </ul>
</div>

Citi

<div>
 The Spec Analytics Analyst is a trainee professional role. Requires a good knowledge of the range of processes, procedures and systems to be used in carrying out assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Makes evaluative judgements based on the analysis of factual information. They are expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Must be able to exchange information in a concise way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own job.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
 </li>
 <li>
 Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
 </li>
 <li>
 Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
 </li>
 <li>
 Incumbents in this role may often be referred to as Data Scientists
 </li>
 <li>
 Specialization in marketing, risk, digital and AML fields possible
 </li>
 <li>
 Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 1-6 years of related experience into Data Science preferred
 </li>
 <li>
 Have the ability to retrieve and manipulation data
 </li>
 <li>
 Working experience in a quantitative field
 </li>
 <li>
 Possess analytic ability and problem solving skills
 </li>
 <li>
 Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelors/University degree or equivalent experience
 
 
 </li>
 </ul>
 This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
 
 
 ------------------------------------------------------
 
 
 
 Job Family Group:
 
 
 
 Decision Management
 
 
 ------------------------------------------------------
 
 
 
 Job Family:
 
 
 
 Specialized Analytics (Data Science/Computational Statistics)
 
 
 ------------------------------------------------------
 
 
 
 Time Type:
 
 
 
 Full time
 
 
 ------------------------------------------------------
 
 
 
 Most Relevant Skills
 
 
 
 Please see the requirements listed above.
 
 
 ------------------------------------------------------
 
 
 
 Other Relevant Skills
 
 
 
 For complementary skills, please see above and/or contact the recruiter.
 
 
 ------------------------------------------------------
 
 
 
 Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
 
 
 
 
 If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review
 
 
 Accessibility at Citi.
 
 
 
 
 View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.
 
</div>

Axtria - Ingenious Insights

<div>
 
 
 Core Responsibilities:
 
 As a Clinical Data Scientist, you will independently perform data analysis, data mining on various clinical trial data sources. You will develop, test, productionize and maintain AI/ML/GenAI models. You will leverage cloud-based solutions for scalable data processing and collaborate with cross-functional teams to deliver cutting edge data science solutions.
 
 
 
 
 
 
 Skills and Experience
 
 :
 
 
 
 
 
 
 Domain Experience:
 
 
 <ul>
 <li>
 Should have knowledge of Clinical R&amp;D domain with hands on experience on data sources from one more clinical business functions e.g. Clinical Operations, Biometrics, Drug Safety, Medical Affairs, Real-World Data (RWD), Laboratory data, Regulatory data sources etc.
 </li>
 <li>
 Should have good understanding and hands-on experience on curating, analyzing, and mining data from very clinical data sources e.g. CTMS, EDC, IRT, Labs, EHR kind RWD sources. Should have working knowledge of CDISC clinical data standards e.g. CDASH, SDTM, ADaM, FHIR etc.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Proficient in developing models with Python/PySpark. Experience with Databricks or Dataiku DSS (Data Science Studio) platforms would be an advantage. Highly skilled in creating, testing, deploying, and maintaining state of the art AI/ML/GenAI solutions.
 </li>
 <li>
 Skilled in statistical and probabilistic methods e.g. SVM, Decision-Trees, Bagging, Boosting, Clustering, Time Series Analysis etc. Experience in core NLP techniques e.g. Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc.
 </li>
 <li>
 Experience/knowledge of LLMs, LSTMs, GRUs, transformers will be an advantage. Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence is expected. A good understanding of any of the cloud platforms &ndash; AWS, Azure or GCP.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Work closely with cross-functional teams, including clinical data engineers, clinical data modelers, front end developers, QA/CSV specialists, clinical SMEs, project managers, and cloud/infrastructure professionals, to understand project requirements and deliver high-quality solutions.
 </li>
 <li>
 Maintain thorough documentation of methodologies, processes, and results of the models. Prepare and present detailed reports on assigned projects to stakeholders, including client and internal leadership illustrating the impact and effectiveness of data-driven strategies.
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 Gurugram, Noida, Bengaluru, Hyderabad, Pune
 
 
 
 
 
 
 Qualifications:
 
 
 <ol>
 <li>
 A Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Life Sciences, or a strong experience in clinical data science is preferred.
 </li>
 <li>
 At least 8 years of hands-on experience in data analysis, data mining, and predictive analytics, preferably within the context of clinical R&amp;D.
 </li>
 <li>
 Strong understanding of clinical R&amp;D processes in life sciences organizations and the data and technologies used in these processes.
 </li>
 <li>
 Proven programming skills in Python/PySpark. Experience with machine learning frameworks like TensorFlow, Keras, PyTorch, or Scikit-learn.
 </li>
 <li>
 Proficiency in using analytical and data visualization tools such as SQL, Tableau, Power BI, or similar platforms.
 </li>
 <li>
 Excellent communication skills with the ability to convey complex data-driven insights to non-technical stakeholders.
 </li>
 <li>
 Results-oriented mindset, with a focus on defining and measuring success and delivering tangible outcomes.
 </li>
 <li>
 High ethical standards and integrity, with a commitment to compliance and transparency.
 </li>
 </ol>
</div>

Clinical Data Scientist

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 
 Salary range: Rs 2400000 - Rs 3500000 (ie INR 24-35 LPA)
 
 
 
 Min Experience: 6 years
 
 
 Location: Bangalore
 
 
 JobType: full-time
 
 
 We are seeking a skilled
 
 Speech Data Scientist
 
 to design, develop, and optimize advanced speech analytics and automatic speech recognition (ASR) solutions. The ideal candidate will work on end-to-end speech pipelines, multilingual audio processing, and model deployment in production environments. You will also drive research and innovation in speech processing, contributing to model enhancement and high-impact technical solutions.
 
 
 
 Requirements
 
 
 
 
 Key Responsibilities
 
 
 
 
 Core Development &amp; Implementation
 
 
 
 <ul>
 <li>
 Design and implement end-to-end speech analytics pipelines for production.
 </li>
 <li>
 Develop ASR engines using frameworks such as Wav2vec, Whisper, and Deep Speech with PyTorch or TensorFlow.
 </li>
 <li>
 Build and optimize speaker diarization, language identification (LID), and text post-processing systems.
 </li>
 <li>
 Focus on multilingual audio processing and domain adaptation strategies.
 </li>
 <li>
 Lead data selection and preprocessing for improved model performance.
 
 
 </li>
 </ul>
 
 Model Development &amp; Enhancement
 
 
 
 <ul>
 <li>
 Develop and analyze objective measures for speech quality evaluation and enhancement.
 </li>
 <li>
 Implement speaker-conditioned personalization techniques to improve ASR accuracy in noisy environments.
 </li>
 <li>
 Optimize on-device ASR models, emphasizing multi-language scenarios.
 </li>
 <li>
 Guide teams on best practices for model accuracy and performance optimization.
 
 
 </li>
 </ul>
 
 Research &amp; Innovation
 
 
 
 <ul>
 <li>
 Conduct research on advanced speech processing and neural speech enhancement techniques.
 </li>
 <li>
 Develop novel solutions for multi-speaker and complex audio scenarios.
 </li>
 <li>
 Contribute to patents, publications, and technical thought leadership in speech technology.
 </li>
 <li>
 Stay updated on transformer models, attention mechanisms, and foundation models.
 
 
 </li>
 </ul>
 
 Technical Integration &amp; Deployment
 
 
 
 <ul>
 <li>
 Design integration architectures for speech-to-text services and related technologies.
 </li>
 <li>
 Implement MLOps processes and CI/CD pipelines for speech model deployment.
 </li>
 <li>
 Deploy and scale speech solutions on cloud platforms (AWS, GCP).
 </li>
 <li>
 Develop production-ready applications using Python, C++, and Java.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 
 Education
 
 
 
 <ul>
 <li>
 Ph.D./M.S./M.Tech in Computer Science, Signal Processing, or related field preferred.
 </li>
 <li>
 B.Tech/B.E in ECE, CSE, or related technical field required.
 
 
 </li>
 </ul>
 
 Technical Expertise
 
 
 
 <ul>
 <li>
 Speech Processing: 3-6 years of hands-on experience in ASR and speech analytics. Strong knowledge of HMMs, GMMs, ANNs, language modeling, CNNs, RNNs, LSTMs, CTC, and attention mechanisms.
 </li>
 <li>
 Machine Learning / Deep Learning: Proficiency in PyTorch and TensorFlow; experience with transformer models (BERT, Wav2vec 2.0, Whisper) and end-to-end ASR implementation.
 </li>
 <li>
 Programming &amp; Tools: Strong Python skills (numpy, pandas, scikit-learn), experience with C++/Java for production, bash scripting, and Git.
 </li>
 <li>
 Cloud &amp; Deployment: Hands-on experience with AWS/GCP, containerization (Docker, Kubernetes), MLOps, CI/CD pipelines, and scalable model serving.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 ASR, Speech Recognition, Speech Analytics, Multilingual Audio Processing, Python, PyTorch, TensorFlow, Deep Learning
</div>

Speech Data scientist

Microsoft

<div>
 
 Overview
 
 
 
 Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us!
 
 
 The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.
 
 
 We work closely with our customers&rsquo; engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.
 
 
 We are hiring a Senior Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.
 
 
 As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 You will acquire the data necessary for your project plan and develop usable data sets for modeling. You&rsquo;ll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers.
 </li>
 <li>
 You will evaluate your team&rsquo;s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You&rsquo;ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods.
 </li>
 <li>
 You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You&rsquo;ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques.
 </li>
 <li>
 You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You&rsquo;ll also apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations.
 </li>
 <li>
 You will embody our culture and values.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required/Minimum Qualifications (RQs/MQs)
 
 
 <ul>
 <li>
 Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR equivalent experience.
 </li>
 <li>
 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
 
 
 </li>
 </ul>
 
 Additional Or Preferred Qualifications (PQs)
 
 
 
 <ul>
 <li>
 Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results
 </li>
 <li>
 OR equivalent experience.
 </li>
 <li>
 Enjoy travel and are comfortable with travel up to 25%
 
 
 </li>
 </ul>
 Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!
 
 
 At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers.  It&rsquo;s an informal and flexible work environment and you&rsquo;ll be welcome to work in the way that best enables you to get your job done.
 
 
 We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
 
 
 Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
 
 
 #ISEngineering
 
 
 #WSS
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Senior Data Scientist

Mercedes-Benz Research and Development India

<div>
 
 
 About MBRDI:
 
 
 
 Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&amp;D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility.
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for AI Enthusiasts&mdash;applied data scientists who thrive on learning, experimenting, and building the future of AI.
 
 
 This role is perfect for someone who is curious by nature, loves exploring new models and frameworks, and wants to grow into an expert in LLMs, AI Agents, and Multi-Agentic Systems.
 
 
 If you are someone who tinkers with tools even after work hours, reads about the latest breakthroughs, or enjoys turning ideas into prototypes&mdash;you will feel at home here.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Explore and Build with LLMs
 
 
 <ul>
 <li>
 Experiment with new LLMs (GPT, Llama, Claude, Mistral, etc.).
 </li>
 <li>
 Try out new prompting patterns, fine-tuning methods, and retrieval strategies.
 </li>
 <li>
 Turn ideas into prototypes&mdash;quickly and creatively.
 </li>
 </ul>
 
 
 Play, Learn, and Create with Orchestrator Frameworks
 
 
 <ul>
 <li>
 Work with LangChain, LlamaIndex, CrewAI, or anything new that emerges.
 </li>
 <li>
 Build multi-step workflows, context managers, memory modules, and tool-based actions.
 </li>
 <li>
 Try different agent architectures and communication patterns.
 </li>
 </ul>
 
 
 Design Multi-Agentic Systems
 
 
 <ul>
 <li>
 Build agents that collaborate, debate, plan, and execute tasks autonomously.
 </li>
 <li>
 Experiment with A2A (Agent-to-Agent) interaction workflows.
 </li>
 <li>
 Convert experimental agents into enterprise-ready pipelines.
 </li>
 </ul>
 
 
 Grow into Enterprise-Scale AI
 
 
 <ul>
 <li>
 Learn how to scale your prototypes into real applications.
 </li>
 <li>
 Use Azure services&mdash;Azure OpenAI, App Service, Functions, AKS, ADLS&mdash;to deploy AI workloads.
 </li>
 <li>
 Work with Git, CI/CD, microservices, Docker, and cloud best practices.
 </li>
 </ul>
 
 
 Constant Learning &amp; Innovation
 
 
 <ul>
 <li>
 Read research papers, follow AI trends, and test new libraries.
 </li>
 <li>
 Participate in internal hackathons and AI/GenAI forums.
 </li>
 <li>
 Regularly bring fresh ideas, PoCs, and innovative techniques to the team.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 5&ndash;7 years of experience in data science / applied ML / AI engineering.
 </li>
 <li>
 Strong Python development background.
 </li>
 <li>
 Experience with Git/GitHub workflows.
 </li>
 <li>
 Practical exposure to LLMs, embeddings, and RAG pipelines.
 </li>
 <li>
 Hands-on experience with orchestrators (LangChain, LlamaIndex, CrewAI).
 </li>
 <li>
 Experience building AI Agents and/or multi-agent systems.
 </li>
 <li>
 Knowledge of cloud platforms (Azure preferred).
 </li>
 <li>
 Understanding of scalable and enterprise application development.
 </li>
 </ul>
 
 
 
 
 
 Good to Have :
 
 
 <ul>
 <li>
 MCP (Model Context Protocol) experimentation.
 </li>
 <li>
 Databricks, Delta Lake, or Spark exposure.
 </li>
 <li>
 Contributions to open-source AI tools or repos.
 </li>
 <li>
 Automation experience with n8n or agent frameworks.
 </li>
 <li>
 Experience with structured + unstructured data pipelines.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 &middot; Be part of a purpose-driven organization that&rsquo;s shaping the future of mobility.
 
 
 &middot; Work on cutting-edge technologies and global projects.
 
 
 &middot; Thrive in a collaborative, diverse, and inclusive environment.
 
 
 &middot; Access world-class infrastructure and learning opportunities.
 
 
 
 
 
 
 Equal Opportunity Statement:
 
 
 
 At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability.
 
</div>

Applied Data Scientist

Explore 331+ Data scientist in Associate Talent Acquisition Advisory Consulting Ifs Bangalore Jobs In Mangaluru this January. Find roles across top companies and apply now to boost your career.

331 data scientist jobs IN Associate Talent Acquisition Advisory Consulting Ifs Bangalore Jobs In Mangaluru

Data Scientist

Data Scientist

Data Scientist

Clinical Data Scientist

Speech Data scientist

Senior Data Scientist

Applied Data Scientist