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data scientist (gen ai llm) Jobs in Mumbai

data scientist (gen ai llm)

data scientist- python- ai/ml gen ai- across india Jobs in Mumbai

sr. lead data scientist

data scientist gen ai llm

<div>
 
 T
 
 Job description
 
 
 
 We are seeking a highly skilled
 
 Data Scientist
 
 with a passion for AI, machine learning, and deep learning to join our dynamic team. The ideal candidate will have experience in generative models, LLMs, and advanced AI techniques, and will contribute to solving complex business challenges.
 
 
 
 
 
 
 Job Title:
 
 Data Scientist (Generative AI LLMs)
 
 
 
 Location:
 
 Bengaluru, Gurugram, Mumbai, Coimbatore
 
 
 
 
 <ul>
 <li>
 4+years Of experience in machine learning, deep learning, or Al research, With a focus on generative models.
 </li>
 <li>
 Experience With generative models such as GANS (Generative Adversarial Networks),
 </li>
 <li>
 VAEs (Variational Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL.E).
 </li>
 <li>
 Understanding of model fine-tuning, transfer learning, and prompt engineering in the context Of large language models (LLMS).
 </li>
 <li>
 Knowledge of reinforcement learning (RL) and other advanced machine learning techniques applied to generative tasks.
 </li>
 <li>
 Strong programming skills in python and familiarity With relevant libraries and frameworks.
 </li>
 <li>
 Proven experience in document detail extraction and feature engineering.
 </li>
 <li>
 Proficiency in data processing and manipulation techniques.
 </li>
 <li>
 Hands-on experience in building data applications using Streamlit or similar tools.
 </li>
 <li>
 Advanced knowledge in prompt engineering, chain of thought processes, and Al agents.
 </li>
 <li>
 Excellent problem-solving skills and the ability to work effectively in a collaborative environment.
 </li>
 <li>
 Strong communication skills to convey complex technical concepts to non-technical stakeholders.
 </li>
 </ul>
 
 
</div>

Data Scientist (Gen AI LLM)

Capgemini Engineering

<div>
 
 &bull; Develop strategies/solutions to solve problems in logical yet creative ways, leveraging state-of-the-art machine learning, deep learning and GEN AI techniques.
 
 
 &bull; Technically lead a team of data scientists to produce project deliverables on time and with high quality.
 
 
 &bull; Identify and address client needs in different domains, by analyzing large and complex data sets, processing, cleansing, and verifying the integrity of data, and performing exploratory data analysis (EDA) using state-of-the-art methods.
 
 
 &bull; Select features, build and optimize classifiers/regressors, etc. using machine learning and deep learning techniques.
 
 
 &bull; Enhance data collection procedures to include information that is relevant for building analytical systems, and ensure data quality and accuracy.
 
 
 &bull; Perform ad-hoc analysis and present results in a clear manner to both technical and non-technical stakeholders.
 
 
 &bull; Create custom reports and presentations with strong data visualization and storytelling skills to effectively communicate analytical conclusions to senior officials in a company and other stakeholders.
 
 
 &bull; Expertise in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques.
 
 
 &bull; Strong programming skills in Python.
 
 
 &bull; Excellent communication and interpersonal skills, with the ability to present complex analytical concepts to both technical and non-technical stakeholders.
 
 
 
 
 
 
 
 
 Primary Skills :
 
 
 - Excellent understanding and hand-on experience of data-science and machine learning techniques &amp; algorithms for supervised &amp; unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference &amp; testing, etc.
 
 
 - Excellent understanding and hand-on experience on building Deep-learning models for text &amp; image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc).
 
 
 - Proficient in coding in common data science language &amp; tools such as R, Python.
 
 
 - Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc.
 
 
 - Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc.
 
 
 - Exposure or knowledge in cloud (Azure/AWS).
 
 
 - Experience on deployment of model in production.
 
</div>

Data scientist- Python- AI/ML GEN AI- Across india

National Payments Corporation Of India (NPCI)

<div>
 
 
 About the Role:
 
 
 
 The opportunity We are seeking a highly skilled Senior Developer with strong capabilities in Core Java, Spring Boot, and AI/ML technologies to drive hands‑on development within the NBBL Innovation vertical. The role involves building AI-driven applications, integrating LLM frameworks such as LangChain/Llama Index, developing RAG pipelines, and contributing to enterprise‑grade application development.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Develop and maintain enterprise-level applications using Core Java and Spring Boot.
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 <li>
 Implement RESTful APIs with secure coding standards and best practices.
 </li>
 <li>
 Build and integrate AI using frameworks like TensorFlow, PyTorch, Scikit-learn.
 </li>
 <li>
 Implement LLM-powered features using LangChain, LlamaIndex, and other modern AI frameworks.
 </li>
 <li>
 Develop and maintain RAG pipelines, including vector database integration.
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 <li>
 Apply prompt engineering techniques for improving LLM output relevance.
 </li>
 <li>
 Explore emerging AI technologies and contribute to PoCs under Innovation.
 </li>
 <li>
 Participate in code reviews, unit testing, integration testing, and CI/CD workflows.
 </li>
 <li>
 Work with Docker and Kubernetes for deployment and orchestration.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills and Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
 </li>
 <li>
 5&ndash;8 years of total experience in software development.
 </li>
 <li>
 Certifications in Java, Spring, or AI.
 </li>
 <li>
 Proficiency in Core Java, Spring Boot, Multithreading, Reactive Programming, and Spring Security.
 </li>
 <li>
 Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
 </li>
 <li>
 Experience integrating LLM-based solutions using LangChain, LlamaIndex.
 </li>
 <li>
 Understanding of vector databases (FAISS, Pinecone, Weaviate, Chroma).
 </li>
 <li>
 Knowledge of RAG architectures and LLM orchestration.
 </li>
 <li>
 Strong debugging, analytical thinking, and problem‑solving skills.
 </li>
 <li>
 Experience with Docker, Kubernetes, and microservices.
 </li>
 <li>
 Familiarity with open‑source AI tools and cloud-native development.
 </li>
 <li>
 Ability to work in an agile environment and deliver high-quality code.
 </li>
 <li>
 Experience building chatbots, conversational AI or autonomous AI agents.
 </li>
 <li>
 Open-source contributions to AI or developer communities.
 </li>
 </ul>
 
 
 
 
 
 Equal Opportunity Statement
 
 
 
 As an Equal Opportunity Employer, NBBL fosters a workplace culture that values diversity and inclusion. It maintains zero tolerance for discrimination based on race, ethnicity, disability, gender identity, or sexual orientation, and actively supports the LGBTQ+ community.
 
 
 
</div>

NBBL-Associate/Senior Associate Innovation

Turing

<div>
 
 
 About Turing:
 
 
 
 Based in San Francisco, California, Turing is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&amp;L
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are looking for experienced
 
 Data Analysts (MLE Bench)
 
 to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on analytical work with production-like datasets, metrics, and ML outputs to help evaluate, diagnose, and improve the performance of advanced AI systems.
 
 
 
 
 
 The ideal candidate is comfortable working at the intersection of data analysis and machine learning, with strong analytical rigor and the ability to work with real datasets and ML evaluation workflows.
 
 
 
 
 
 
 What does day-to-day life look like?
 
 
 <ul>
 <li>
 Analyze structured and unstructured datasets generated from
 
 ML training, inference, and evaluation pipelines
 
 .
 </li>
 <li>
 Define, compute, and validate
 
 metrics
 
 used to evaluate model performance and behavior.
 </li>
 <li>
 Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks.
 </li>
 <li>
 Write and run
 
 Python and SQL
 
 code to analyze data, create reports, and support evaluation workflows.
 </li>
 <li>
 Validate data quality, consistency, and correctness across datasets and experiments.
 </li>
 <li>
 Create clear, well-documented analytical artifacts and reproducible analysis workflows.
 </li>
 <li>
 Collaborate with ML engineers and researchers to design
 
 challenging, real-world evaluation scenarios
 
 for MLE Bench.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Minimum
 
 3+ years
 
 of experience as a
 
 Data Analyst or Analytics-focused Engineer
 
 .
 </li>
 <li>
 Strong proficiency in
 
 Python
 
 for data analysis.
 </li>
 <li>
 Solid experience with
 
 SQL
 
 and relational datasets.
 </li>
 <li>
 Experience analyzing
 
 ML outputs and evaluation metrics
 
 .
 </li>
 <li>
 Strong understanding of statistics and analytical reasoning.
 </li>
 <li>
 Ability to work with
 
 large, complex datasets
 
 and draw reliable insights.
 </li>
 <li>
 Experience writing
 
 clean, readable, and well-documented analytical code
 
 .
 </li>
 <li>
 Excellent spoken and written
 
 English communication skills
 
 .
 </li>
 </ul>
 
 
 
 
 
 Perks of Freelancing With Turing:
 
 
 <ul>
 <li>
 Work in a fully remote environment.
 </li>
 <li>
 Opportunity to work on cutting-edge AI projects with leading LLM companies.
 </li>
 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
 <li>
 
 Commitments Required:
 
 At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
 </li>
 <li>
 
 Engagement Type:
 
 Contractor assignment (no medical/paid leave)
 </li>
 <li>
 
 Duration of Contract:
 
 3 months (adjustable based on engagement)
 </li>
 </ul>
 
 
 
 
 Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 
</div>

Remote Data Analyst - 60736

Alignerr

<div>
 
 Wildlife and Habitat Conservation Scientist (AI Training)
 
 
 
 
 About The Role
 
 
 
 We&rsquo;re seeking wildlife and habitat conservation scientists to help evaluate AI systems trained on biodiversity protection and ecosystem management.
 
 
 <ul>
 <li>
 Organization: Alignerr (Powered by Labelbox)
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 Location: Remote
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 Type: Hourly / Task-based Contract
 </li>
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 Compensation: $30-55 /hour
 </li>
 <li>
 Commitment: 10-40 hours/week
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Review wildlife and habitat conservation scenarios used in AI training.
 </li>
 <li>
 Assess accuracy of ecological reasoning and conservation strategies.
 </li>
 <li>
 Identify unrealistic assumptions or misapplied conservation methods.
 </li>
 <li>
 Provide structured feedback to improve ecological validity.
 </li>
 <li>
 Work independently and asynchronously to meet project deadlines.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of experience in wildlife biology, ecology, or habitat conservation.
 </li>
 <li>
 Strong understanding of biodiversity and ecosystem management.
 </li>
 <li>
 Able to evaluate applied ecological reasoning in written form.
 </li>
 <li>
 Comfortable reviewing structured scientific content.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Graduate degree in Ecology, Wildlife Biology, or related field.
 </li>
 <li>
 Field research or conservation program experience.
 </li>
 <li>
 Familiarity with AI or content evaluation workflows.
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Competitive pay and flexible remote work.
 </li>
 <li>
 Lead a team working on cutting-edge AI projects.
 </li>
 <li>
 Exposure to advanced LLMs and how they&rsquo;re trained.
 </li>
 <li>
 Freelance perks: autonomy, flexibility, and global collaboration.
 </li>
 <li>
 Potential for contract extension.
 
 
 </li>
 </ul>
 
 Application Process (Takes 10-15 min)
 
 
 
 <ul>
 <li>
 Submit your resume
 </li>
 <li>
 Complete a short screening
 </li>
 <li>
 Project matching and onboarding
 
 
 </li>
 </ul>
 
 PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 
</div>

Wildlife and Habitat Conservation Scientist

KPMG India

<div>
 
 Job Description
 
 
 
 
 About KPMG in India
 
 
 
 
 KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
 
 
 
 
 KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
 
 
 
 Role Summary
 
 
 We are seeking an accomplished Senior Data Scientist with proven expertise in Machine Learning, Deep Learning, and Natural Language Processing to build advanced AI-led solutions for the mutual fund and asset management (AMC) sector. The role involves high-impact initiatives including fund performance modeling, investor segmentation, portfolio optimization, document intelligence, and risk analytics.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy production-grade ML/DL/NLP models for business-critical use cases.
 </li>
 <li>
 Build end-to-end ML pipelines with automated data ingestion, feature engineering, training, validation, and inference.
 </li>
 <li>
 Develop and fine-tune NLP solutions including sentiment analysis, document classification, entity extraction, and text summarization.
 </li>
 <li>
 Perform exploratory data analysis (EDA) on financial datasets to uncover trends and insights.
 </li>
 <li>
 Build dashboards and analytical frameworks using Power BI, Tableau, or Python-based tools.
 </li>
 <li>
 Collaborate with investment, risk, and product teams to translate business needs into AI/ML solutions.
 </li>
 <li>
 Mentor junior data scientists and lead cross-functional data initiatives.
 </li>
 <li>
 Ensure compliance with model governance, explainability, and regulatory frameworks relevant to the mutual fund industry.
 
 
 
 </li>
 </ul>
 
 
 
 Equal employment opportunity information
 
 
 KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Data Science, Statistics, Mathematics, or related field (mandatory)
 </li>
 <li>
 Master&rsquo;s degree in data science, Machine Learning, or related areas (preferred)
 </li>
 <li>
 Certifications preferred: TensorFlow/PyTorch, CFA Level I, NISM
 </li>
 </ul>
</div>

Assistant Manager - Capital Markets

Purplle.com

<div>
 <ul>
 <li>
 Creative Strategy &amp; Content Design
 </li>
 <li>
 The "Hook" Engine: Develop high-retention video hooks and headlines tailored to specific Indian beauty personas (Gen Z, Millennial, Tier 2/3 markets).
 </li>
 <li>
 Content Strategy: Working on a robust content strategy keeping all Platform marketing requirements in mind.
 </li>
 <li>
 Narrative Mapping: Design the communication funnel&mdash;from the initial "Problem-Aware" ad (e.g., skin concerns) to the "Solution-Ready" landing page.
 </li>
 <li>
 Competitive Intelligence and Innovation- Hunger to go above and beyond see what are the best content inputs from a campaign lense.
 </li>
 <li>
 High-Conversion Copy: Write punchy, ingredient-led, and benefit-driven copy that highlights the unique value of the Purplle App.
 </li>
 <li>
 UGC &amp; Influencer Briefing: Direct the team and the creators to produce "Direct Response" content that drives action rather than just passive engagement.
 </li>
 <li>
 Lifecycle Messaging: Create content that looks at the funnel as a whole. Ensuring different types of content works for different levels of the funnel.
 </li>
 <li>
 Hypothesis-Driven Testing: Lead weekly A/B tests on creative variables (e.g., &ldquo;Does a clinical/expert-led angle outperform a vlog-style user testimonial?&rdquo;).
 </li>
 <li>
 Performance Sync: Collaborate daily with the Performance Marketing team to kill underperforming assets and scale "Winning" creative hooks.
 </li>
 <li>
 AI Integration: Use AI tools to storyboard, generate copy variations, and scale content for diverse regional demographics.
 </li>
 <li>
 Performance Execution (Installs &amp; Traffic)
 </li>
 <li>
 High-Conversion Copy: Write punchy, ingredient-led, and benefit-driven copy that highlights the unique value of the Purplle App.
 </li>
 <li>
 UGC &amp; Influencer Briefing: Direct the team and the creators to produce "Direct Response" content that drives action rather than just passive engagement.
 </li>
 <li>
 Lifecycle Messaging: Create content that looks at the funnel as a whole. Ensuring different types of content works for different levels of the funnel.
 </li>
 <li>
 Hypothesis-Driven Testing: Lead weekly A/B tests on creative variables (e.g., &ldquo;Does a clinical/expert-led angle outperform a vlog-style user testimonial?&rdquo;).
 </li>
 <li>
 Performance Sync: Collaborate daily with the Performance Marketing team to kill underperforming assets and scale "Winning" creative hooks.
 </li>
 <li>
 Data-Backed Iteration
 </li>
 <li>
 Hypothesis-Driven Testing: Lead weekly A/B tests on creative variables (e.g., &ldquo;Does a clinical/expert-led angle outperform a vlog-style user testimonial?&rdquo;).
 </li>
 <li>
 Performance Sync: Collaborate daily with the Performance Marketing team to kill underperforming assets and scale "Winning" creative hooks.
 
 
 </li>
 </ul>
 AI Integration: Use AI tools to storyboard, generate copy variations, and scale content for diverse regional demographics.
 
 
 THE IDEAL PROFILE
 
 
 <ul>
 <li>
 Experience: 4-6 years in Marketing Communications or Creative Strategy, ideally within E-commerce, D2C Beauty, or an App-first startup.
 </li>
 <li>
 The Growth Mindset: You are obsessed with content. It would be a benefit if you are actively creating content.
 </li>
 <li>
 Platform Native: You have a deep understanding of what works on Instagram Reels, YouTube Shorts, and emerging regional platforms.
 
 
 </li>
 </ul>
 
 About Company
 
 
 
 Founded in 2011, Purplle has emerged as one of India&rsquo;s premier omnichannel beauty destinations, redefining the way millions shop for beauty. With 1,000+ brands, 60,000+ products, and over 7 million monthly active users, Purplle has built a powerhouse platform that seamlessly blends online and offline experiences.
 
 
 Expanding its footprint in 2022, Purplle introduced 6,000+ offline touchpoints and launched 100+ stores, strengthening its presence beyond digital. Beyond hosting third-party brands, Purplle has successfully scaled its own D2C powerhouses&mdash;FACES CANADA, Good Vibes, Carmesi, Purplle, and NY Bae&mdash;offering trend-driven, high-quality beauty essentials.
 
 
 What sets Purplle apart is its technology driven hyper-personalized shopping experience. By curating detailed user personas, enabling virtual makeup trials, and delivering tailored product recommendations based on personality, search intent, and purchase behavior, Purplle ensures a unique, customer-first approach.
 
 
 In 2022, Purplle achieved unicorn status, becoming India&rsquo;s 102nd unicorn, backed by an esteemed group of investors including ADIA, Kedaara, Premji Invest, Sequoia Capital India, JSW Ventures, Goldman Sachs, Verlinvest, Blume Ventures, and Paramark Ventures.
 
 
 With a 3,000+ strong team and an unstoppable vision, Purplle is set to lead the charge in India&rsquo;s booming beauty landscape, revolutionizing the way the nation experiences beauty.
</div>

Assistant Manager - Marketing Communications

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