116 Interpretability Jobs - Page 5

Key Responsibilities Provide strategic leadership for the AI Alignment division, encompassing Trust and Safety, Interpretability for Pricing of information. Develop and implement comprehensive strategies for AI alignment, including safety measures, interpretability techniques, and robust red teaming protocols. Drive the integration of advanced safety and interpretability techniques such as RLHF, DPO, PPO, LIME, and SHAP across our AI development pipeline. Collaborate with product and research teams to define and implement safety and interpretability aspects that ensure our AI models deliver helpful, honest, and transparent outputs. Lead cross-functional initiatives to integrate safety measures and interpretability throughout the AI development lifecycle. Represent the company in industry forums, conferences, and regulatory discussions related to AI alignment and ethics. Manage resource allocation, budgeting, and strategic planning for the AI Alignment division. Mentor and develop team members, fostering a collaborative and innovative research environment. Liaise with executive leadership to communicate progress, challenges, and strategic recommendations for AI alignment efforts Required Qualifications: Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, or a related field. Strong knowledge of machine learning, deep learning, and reinforcement learning techniques. Experience with frameworks such as TensorFlow, PyTorch, or JAX. Proficiency in programming languages such as Python, C++, or Java. Experience in handling large-scale datasets and distributed computing. Strong problem-solving skills and ability to work independently and in a team environment. Excellent written and verbal communication skills. Show more Show less

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Systems Engineering General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. Principal Engineer – Machine Learning We are looking for a Principal AI/ML Engineer with expertise in model inference , optimization , debugging , and hardware acceleration . This role will focus on building efficient AI inference systems, debugging deep learning models, optimizing AI workloads for low latency, and accelerating deployment across diverse hardware platforms. In addition to hands-on engineering, this role involves cutting-edge research in efficient deep learning, model compression, quantization, and AI hardware-aware optimization techniques . You will explore and implement state-of-the-art AI acceleration methods while collaborating with researchers, industry experts, and open-source communities to push the boundaries of AI performance. This is an exciting opportunity for someone passionate about both applied AI development and AI research , with a strong focus on real-world deployment, model interpretability, and high-performance inference . Education & Experience 20+ years of experience in AI/ML development, with at least 5 years in model inference, optimization, debugging, and Python-based AI deployment. Master’s or Ph.D. in Computer Science, Machine Learning, AI Leadership & Collaboration Lead a team of AI engineers in Python-based AI inference development. Collaborate with ML researchers, software engineers, and DevOps teams to deploy optimized AI solutions. Define and enforce best practices for debugging and optimizing AI models Key Responsibilities Model Optimization & Quantization Optimize deep learning models using quantization (INT8, INT4, mixed precision etc), pruning, and knowledge distillation. Implement Post-Training Quantization (PTQ) and Quantization-Aware Training (QAT) for deployment. Familiarity with TensorRT, ONNX Runtime, OpenVINO, TVM AI Hardware Acceleration & Deployment Optimize AI workloads for Qualcomm Hexagon DSP, GPUs (CUDA, Tensor Cores), TPUs, NPUs, FPGAs, Habana Gaudi, Apple Neural Engine. Leverage Python APIs for hardware-specific acceleration, including cuDNN, XLA, MLIR. Benchmark models on AI hardware architectures and debug performance issues AI Research & Innovation Conduct state-of-the-art research on AI inference efficiency, model compression, low-bit precision, sparse computing, and algorithmic acceleration. Explore new deep learning architectures (Sparse Transformers, Mixture of Experts, Flash Attention) for better inference performance. Contribute to open-source AI projects and publish findings in top-tier ML conferences (NeurIPS, ICML, CVPR). Collaborate with hardware vendors and AI research teams to optimize deep learning models for next-gen AI accelerators. Details Of Expertise Experience optimizing LLMs, LVMs, LMMs for inference Experience with deep learning frameworks: TensorFlow, PyTorch, JAX, ONNX. Advanced skills in model quantization, pruning, and compression. Proficiency in CUDA programming and Python GPU acceleration using cuPy, Numba, and TensorRT. Hands-on experience with ML inference runtimes (TensorRT, TVM, ONNX Runtime, OpenVINO) Experience working with RunTimes Delegates (TFLite, ONNX, Qualcomm) Strong expertise in Python programming, writing optimized and scalable AI code. Experience with debugging AI models, including examining computation graphs using Netron Viewer, TensorBoard, and ONNX Runtime Debugger. Strong debugging skills using profiling tools (PyTorch Profiler, TensorFlow Profiler, cProfile, Nsight Systems, perf, Py-Spy). Expertise in cloud-based AI inference (AWS Inferentia, Azure ML, GCP AI Platform, Habana Gaudi). Knowledge of hardware-aware optimizations (oneDNN, XLA, cuDNN, ROCm, MLIR, SparseML). Contributions to open-source community Publications in International forums / conferences / journals Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3072372 Show more Show less

ob Title: AI Full stack Developer – GenAI & NLP Location: Pune, India (Hybrid) Work Mode: Remote Experience Required: 2+ Years (Relevant AI/ML with GenAI & NLP) Salary: Up to ₹15 LPA (CTC) Employment Type: Full-time Department: AI Research & Development Role Overview We are looking for a passionate AI Developer with strong hands-on experience in Generative AI and Natural Language Processing (NLP) to help build intelligent and scalable solutions. In this role, you will design and deploy advanced AI models for tasks such as language generation, summarization, chatbot development, document analysis, and more. You’ll work with cutting-edge LLMs (Large Language Models) and contribute to impactful AI initiatives. Key Responsibilities Design, fine-tune, and deploy NLP and GenAI models using LLMs like GPT, BERT, LLaMA, or similar. Build applications for tasks like text generation, question-answering, summarization, sentiment analysis, and semantic search. Integrate language models into production systems using RESTful APIs or cloud services. Evaluate and optimize models for accuracy, latency, and cost. Collaborate with product and engineering teams to implement intelligent user-facing features. Preprocess and annotate text data, create custom datasets, and manage model pipelines. Stay updated on the latest advancements in generative AI, transformer models, and NLP frameworks. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. Minimum 2 years of experience in fullstack development and AI/ML development, with recent work in NLP or Generative AI. Hands-on experience with models such as GPT, T5, BERT, or similar transformer-based architectures. Proficient in Python and libraries such as Hugging Face Transformers, spaCy, NLTK, or OpenAI APIs. Hands-on experience in any frontend/ backend technologies for software development. Experience with deploying models using Flask, FastAPI, or similar frameworks. Strong understanding of NLP tasks, embeddings, vector databases (e.g., FAISS, Pinecone), and prompt engineering. Familiarity with MLOps tools and cloud platforms (AWS, Azure, or GCP). Preferred Qualifications Experience with LangChain, RAG (Retrieval-Augmented Generation), or custom LLM fine-tuning. Knowledge of model compression, quantization, or inference optimization. Exposure to ethical AI, model interpretability, and data privacy practices. What We Offer Competitive salary package up to ₹15 LPA. Remote work flexibility with hybrid team collaboration in Pune. Opportunity to work on real-world generative AI and NLP applications. Access to resources for continuous learning and certification support. Inclusive, fast-paced, and innovative work culture. Skills: r,kubernetes,next.js,docker,rag architectures,large language models (llms),gcp,embeddings,large language models,bert,javascript,django,machine learning (ml),cloud,tensorflow,machine learning,openai,artificial intelligence,natural language processing (nlp),vector databases,nltk,ai tools,langchain,fastapi,ml,typescript,react.js,java,deep learning,ai development,aws,flask,natural language processing,gpt,nlp tasks,hugging face,hugging face transformers,mlops tools,azure,generative ai,ai technologies,google cloud,node.js,python,nlp,spacy,mlops,ci/cd,pytorch,computer vision Show more Show less

ob Title: AI Full stack Developer – GenAI & NLP Location: Pune, India (Hybrid) Work Mode: Remote Experience Required: 2+ Years (Relevant AI/ML with GenAI & NLP) Salary: Up to ₹15 LPA (CTC) Employment Type: Full-time Department: AI Research & Development Role Overview We are looking for a passionate AI Developer with strong hands-on experience in Generative AI and Natural Language Processing (NLP) to help build intelligent and scalable solutions. In this role, you will design and deploy advanced AI models for tasks such as language generation, summarization, chatbot development, document analysis, and more. You’ll work with cutting-edge LLMs (Large Language Models) and contribute to impactful AI initiatives. Key Responsibilities Design, fine-tune, and deploy NLP and GenAI models using LLMs like GPT, BERT, LLaMA, or similar. Build applications for tasks like text generation, question-answering, summarization, sentiment analysis, and semantic search. Integrate language models into production systems using RESTful APIs or cloud services. Evaluate and optimize models for accuracy, latency, and cost. Collaborate with product and engineering teams to implement intelligent user-facing features. Preprocess and annotate text data, create custom datasets, and manage model pipelines. Stay updated on the latest advancements in generative AI, transformer models, and NLP frameworks. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. Minimum 2 years of experience in fullstack development and AI/ML development, with recent work in NLP or Generative AI. Hands-on experience with models such as GPT, T5, BERT, or similar transformer-based architectures. Proficient in Python and libraries such as Hugging Face Transformers, spaCy, NLTK, or OpenAI APIs. Hands-on experience in any frontend/ backend technologies for software development. Experience with deploying models using Flask, FastAPI, or similar frameworks. Strong understanding of NLP tasks, embeddings, vector databases (e.g., FAISS, Pinecone), and prompt engineering. Familiarity with MLOps tools and cloud platforms (AWS, Azure, or GCP). Preferred Qualifications Experience with LangChain, RAG (Retrieval-Augmented Generation), or custom LLM fine-tuning. Knowledge of model compression, quantization, or inference optimization. Exposure to ethical AI, model interpretability, and data privacy practices. What We Offer Competitive salary package up to ₹15 LPA. Remote work flexibility with hybrid team collaboration in Pune. Opportunity to work on real-world generative AI and NLP applications. Access to resources for continuous learning and certification support. Inclusive, fast-paced, and innovative work culture. Skills: computer vision,next.js,r,mlops,artificial intelligence,nltk,flask,aws,react.js,bert,hugging face,embeddings,google cloud,machine learning,machine learning (ml),natural language processing,hugging face transformers,natural language processing (nlp),ci/cd,nlp,django,python,large language models,pytorch,fastapi,large language models (llms),openai,ai technologies,typescript,ai tools,azure,kubernetes,gcp,llama,mlops tools,gpt,vector databases,javascript,rag architectures,nlp tasks,langchain,openai apis,spacy,docker,ai development,tensorflow,ml,node.js,generative ai,java,cloud,deep learning Show more Show less

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Years of Experience: Candidates with 15+ years of hands on experience Required Skills Must Have: Solid knowledge and experience of supervised, unsupervised machine learning algorithms. For e.g (but not limited to): linear regressions, bayesian regressions, multi objective optimization techniques, classifiers, cluster analysis, dimension reduction etc. Understanding of technicality used for retail analytics across loyalty, customer analytics, assortment, promotion and marketing Good knowledge of statistics For e.g: statistical tests & distributions Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow,, Pytorch, MLlib) Advanced level programming in SQL and Python/Pyspark to guide teams Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc. Nice To Have Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow) Experience with model explainability and interpretability techniques Multi-task and manage multiple deadlines. Responsible for incorporating client/user feedback into the Product Ability to think through complex user scenarios and design simple yet effective user interactions Good Communication and presentation skills Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA Show more Show less

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About Yubi Yubi, formerly known as CredAvenue, is redefining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plentiful, and we equip you with the tools to seize them. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. Our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any capital requirements. Yubi Invest - Fixed-income securities platform for wealth managers & financial advisors to channel client investments in fixed-income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset-based securitization Spocto - Debt recovery & risk mitigation platform Accumn - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals, and Predictions to Lenders, Investor,s and Business Enterprises So far, we have onboarded more than 17000 enterprises, 6200 investors, and lenders and facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed, and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come join the club to be a part of our epic growth story. Requirements About the Role Data Scientist - Credit Risk /Fraud Models Experience: 2 to 4 years We seek a skilled Data Scientist to join our team and help build a cutting-edge Credit Risk Machine Learning platform. This platform delivers sophisticated credit scoring models and transparent explanations behind each score to support clients' credit monitoring and management activities. As a Data Scientist, you will be key in designing, developing, and deploying machine learning models that assess credit risk, ensuring high accuracy, interpretability, and compliance with regulatory requirements. Your experience in machine learning and strong Python programming skills will be crucial in driving innovation and business value for our clients. Key Responsibilities Build and develop credit risk/fraud models to assess risk, ensuring high accuracy and explainability of the models to comply with regulatory frameworks and requirements. Lead the development of a machine learning platform that empowers clients to build and customize their risk models, enabling more tailored risk management solutions. Align data solutions with business objectives and technical constraints, adapting to the evolving market dynamics, regulatory landscape, and client requirements. Work closely with cross-functional teams, including data engineering, product management, and business teams, to manage and lead various aspects of the product lifecycle, from conception to delivery. Monitor model performance and maintain risk management protocols by retraining models as needed, ensuring ongoing accuracy and regulatory compliance. Stay updated on industry trends, regulations, and emerging technologies to continuously improve the models and the platform. Provide mentorship and guidance to junior data scientists and engineers within the team. Requirements Technical Skills In-depth understanding of machine learning algorithms (supervised, unsupervised, and ensemble methods) and their application to risk. Expertise in statistical analysis, including hypothesis testing, regression analysis, probability theory, and data modeling techniques, to extract insights and validate machine learning models. Experience in designing, developing, and delivering end-to-end data products and solutions. Expertise in model explainability techniques (e.g. SHAP, LIME) and regulatory compliance for risk models. Strong proficiency in Python. Working knowledge of PySpark ( Good to have ) Proficiency in building and deploying models on cloud platforms (AWS). Proficiency in developing backend microservices using Fast API and working knowledge of MLOps. Experience with NLP techniques is good to have Domain Skills ( Good to have ) Prior experience collaborating with finance and risk teams to ensure the model outputs align with business objectives and regulatory requirements. Basic understanding of credit risk management processes, including credit scoring, default probability estimation, and financial regulations. Basic working knowledge of finance and credit risk concepts, such as loan performance metrics, creditworthiness, and risk mitigation strategies. Education and Experience Bachelor’s/Advanced degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. 2 to 4 years of experience in the data science and machine learning domain Experience in the financial sector or credit risk management is a bonus. Benefits We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age. Show more Show less

We are seeking a highly skilled and motivated Lead DS/ML engineer to join our team. The role is critical to the development of a cutting-edge reporting platform designed to measure and optimize online marketing campaigns. We are seeking a highly skilled Data Scientist / ML Engineer with a strong foundation in data engineering (ELT, data pipelines) and advanced machine learning to develop and deploy sophisticated models. The role focuses on building scalable data pipelines, developing ML models, and deploying solutions in production to support a cutting-edge reporting, insights, and recommendations platform for measuring and optimizing online marketing campaigns. The ideal candidate should be comfortable working across data engineering, ML model lifecycle, and cloud-native technologies. Job Description: Key Responsibilities: Data Engineering & Pipeline Development Design, build, and maintain scalable ELT pipelines for ingesting, transforming, and processing large-scale marketing campaign data. Ensure high data quality, integrity, and governance using orchestration tools like Apache Airflow, Google Cloud Composer, or Prefect. Optimize data storage, retrieval, and processing using BigQuery, Dataflow, and Spark for both batch and real-time workloads. Implement data modeling and feature engineering for ML use cases. Machine Learning Model Development & Validation Develop and validate predictive and prescriptive ML models to enhance marketing campaign measurement and optimization. Experiment with different algorithms (regression, classification, clustering, reinforcement learning) to drive insights and recommendations. Leverage NLP, time-series forecasting, and causal inference models to improve campaign attribution and performance analysis. Optimize models for scalability, efficiency, and interpretability. MLOps & Model Deployment Deploy and monitor ML models in production using tools such as Vertex AI, MLflow, Kubeflow, or TensorFlow Serving. Implement CI/CD pipelines for ML models, ensuring seamless updates and retraining. Develop real-time inference solutions and integrate ML models into BI dashboards and reporting platforms. Cloud & Infrastructure Optimization Design cloud-native data processing solutions on Google Cloud Platform (GCP), leveraging services such as BigQuery, Cloud Storage, Cloud Functions, Pub/Sub, and Dataflow. Work on containerized deployment (Docker, Kubernetes) for scalable model inference. Implement cost-efficient, serverless data solutions where applicable. Business Impact & Cross-functional Collaboration Work closely with data analysts, marketing teams, and software engineers to align ML and data solutions with business objectives. Translate complex model insights into actionable business recommendations. Present findings and performance metrics to both technical and non-technical stakeholders. Qualifications & Skills: Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or a related field. Certifications in Google Cloud (Professional Data Engineer, ML Engineer) is a plus. Must-Have Skills: Experience: 5-10 years with the mentioned skillset & relevant hands-on experience Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer). ML Model Development: Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL for large-scale data processing. Cloud & Infrastructure: Expertise in GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Cloud Storage) or equivalent cloud platforms. MLOps & Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control (MLflow, Kubeflow, Vertex AI, or similar tools). Data Warehousing & Real-time Processing: Strong knowledge of modern data platforms for batch and streaming data processing. Nice-to-Have Skills: Experience with Graph ML, reinforcement learning, or causal inference modeling. Working knowledge of BI tools (Looker, Tableau, Power BI) for integrating ML insights into dashboards. Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies. Experience with distributed computing frameworks (Spark, Dask, Ray). Location: Bengaluru Brand: Merkle Time Type: Full time Contract Type: Permanent Show more Show less

Greetings from Synergy Resource Solutions, a leading Recruitment Consultancy. Our client is a Smart Air Quality Monitoring Solutions company offering data-driven environmental solutions for better decision making. Using our sensor-based hardware, we monitor various environmental parameters related to air quality, noise, odour, weather, radiation etc. Designation: - Environmental Data Scientist (Ahmedabad) Location: - Ahmedabad Experience: - 1 - 3 years Work timings: 10:00 am to 6:30 pm (5 days working) Job Description: We are seeking a research-driven Environmental Data Scientist to lead the development of advanced algorithms that enhance the accuracy, reliability, and performance of air quality sensor data. This role goes beyond traditional data science — it focuses on solving real-world challenges in environmental sensing, such as sensor drift, cross-interference, and data anomalies. Key Responsibilities: ● Design and implement algorithms to improve the accuracy, stability, and interpretability of air quality sensor data (e.g., calibration, anomaly detection, cross-interference mitigation, and signal correction) ● Conduct in-depth research on sensor behavior and environmental impact to inform algorithm development ● Collaborate with software and embedded systems teams to integrate these algorithms into cloud or edge-based systems ● Analyze large, complex environmental datasets using Python, R, or similar tools ● Continuously validate algorithm performance using lab and field data; iterate for improvement ● Develop tools and dashboards to visualize sensor behavior and algorithm impact ● Assist in environmental research projects with statistical analysis and data interpretation ● Document algorithm design, testing procedures, and research findings for internal use and knowledge sharing ● Support team members with data-driven insights and code-level contributions as needed ● Assist other team members with writing efficient code and overcoming programming challenges Required Skills & Qualifications ● Bachelor’s or Master’s degree in one of the following fields: Environmental Engineering / Science, Chemical Engineering, Electronics / Instrumentation Engineering, Computer Science / Data Science, Physics / Atmospheric Science (with data or sensing background) ● 1-2 years of hands-on experience working with sensor data or IoT-based environmental monitoring systems ● Strong knowledge of algorithm development, signal processing, and statistical analysis ● Proficiency in Python (pandas, NumPy, scikit-learn, etc.) or R, with experience handling real-world sensor datasets ● Ability to design and deploy models in a cloud or embedded environment. ● Excellent problem-solving and communication skills. ● Passion for environmental sustainability and clean-tech. Preferred Qualifications: ● Familiarity with time-series anomaly detection, sensor fusion, signal noise reduction techniques or geospatial data processing. ● Exposure to air quality sensor technologies, environmental sensor datasets, or dispersion modeling. Benefits: Competitive salary and benefits package Opportunities for professional growth and development A dynamic and collaborative work environment If your profile is matching with the requirement & if you are interested for this job, please share your updated resume with details of your present salary, expected salary & notice period. Job Type: Full-time Pay: ₹450,000.00 - ₹500,000.00 per year Work Location: In person

This role is for one of the Weekday's clients Min Experience: 14 years Location: Mumbai JobType: full-time We are seeking an accomplished and forward-thinking Associate Director - Generative AI to lead our AI innovation efforts and drive strategic initiatives across products and platforms. This role is ideal for a seasoned AI professional with a deep understanding of Generative AI (GenAI) technologies, strong business acumen, and a proven track record of building and leading high-performing teams. You will play a pivotal role in shaping and executing our AI strategy, fostering collaboration across departments, and ensuring that AI-driven solutions deliver business impact at scale. Requirements Key Responsibilities: Strategic Leadership: Develop and lead the organization's Generative AI roadmap, aligning with broader business goals and innovation strategies. Partner with senior leadership to drive AI-driven digital transformation across functions. Team Management: Build, mentor, and manage cross-functional teams of AI scientists, ML engineers, data scientists, and product managers. Foster a culture of experimentation, collaboration, and continuous learning. AI Solution Design & Delivery: Lead the design, development, and deployment of GenAI-powered solutions using technologies such as LLMs (e.g., GPT, Claude, LLaMA), transformers, diffusion models, and prompt engineering. Ensure models are scalable, secure, ethical, and production-ready. Research & Innovation: Stay abreast of the latest developments in the GenAI space. Identify emerging trends, assess their applicability, and integrate them into the AI strategy. Encourage adoption of cutting-edge research into practical solutions. Stakeholder Collaboration: Work closely with product, engineering, marketing, compliance, and legal teams to ensure AI solutions meet both functional and regulatory requirements. Translate complex technical concepts into strategic insights for business stakeholders. Governance & Risk Management: Establish responsible AI frameworks and standards to ensure compliance with data privacy, fairness, transparency, and model interpretability. Monitor risk and ensure alignment with ethical AI principles. Requirements: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field; a Ph.D. is a plus. 14-18 years of industry experience in data science, machine learning, and AI, with at least 3-5 years focused on Generative AI. Deep expertise in LLMs, NLP, transformer architectures, and deep learning frameworks (e.g., PyTorch, TensorFlow). Proven experience in building and deploying GenAI applications (chatbots, content generation, code generation, etc.) at scale. Strong understanding of MLOps, model lifecycle management, and cloud infrastructure (AWS, Azure, or GCP). Exceptional leadership and people management skills, with a demonstrated ability to influence senior stakeholders. Excellent communication and storytelling abilities to articulate complex AI topics to non-technical audiences. Preferred Qualifications: Experience in scaling AI initiatives within large organizations or high-growth tech companies. Publications or patents in the field of Generative AI or related areas. Prior experience in working with open-source LLMs and fine-tuning models for domain-specific use cases. Show more Show less

We are seeking a dynamic and experienced Lead Data Scientist to drive innovative solutions using cutting-edge technologies, including NLP, generative AI, and large language models (LLMs). This role will play a pivotal part in shaping the organization's data strategy, with a focus on life sciences and healthcare applications. Responsibilities Lead the design, development, and deployment of LLM-based generative AI applications tailored to real-world challengesCollaborate with cross-functional teams to integrate and operationalize prompt engineering best practices and advanced NLP techniquesLeverage experience in developing LLM orchestration frameworks like Langchain or Llama-index to improve model performance and reliabilityGuide topic modeling initiatives, including the application of BERTopic, to derive actionable insights from unstructured dataImplement Responsible AI principles, ensuring AI applications adhere to ethical standards and regulatory requirementsIdentify opportunities within the life sciences and healthcare sectors to apply generative AI solutions effectivelyMentor and provide technical leadership to junior data scientists, fostering a culture of innovation and excellenceStay updated with advancements in NLP, generative AI, and responsible AI to maintain the organization’s technological edge Requirements At least 5 years of hands-on experience in data science, with expertise in Python, natural language processing, and generative AIProficiency in leveraging large language models and applying prompt engineering for enterprise applicationsFamiliarity with LLM orchestration frameworks like Langchain, Llama-index, or HuggingFaceBackground in topic modeling, including practical use of BERTopic for advanced data analysisStrong understanding of AI ethics and Responsible AI in regulated industries like life sciences and healthcare Nice to have Expertise in designing LLM-based solutions specifically for healthcare or life sciences applicationsSkills in integrating AI-driven systems into existing workflows in regulated industriesFamiliarity with experimental or emerging approaches in explainable AI or LLM interpretability We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesOpportunity to join and participate in life of EPAM's Employee Resource GroupsEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a forward-thinking and skilled Lead Data Scientist to create transformative solutions using state-of-the-art technologies, including NLP, generative AI, and large language models (LLMs). This position will play a critical role in defining the organization’s data strategy with a strong emphasis on applications in life sciences and healthcare. Responsibilities Design, develop, and deploy LLM-based generative AI applications addressing real-world business challengesCollaborate with cross-functional teams to ensure seamless integration and operationalization of advanced NLP techniques and prompt engineering practicesUse expertise in LLM orchestration frameworks like Langchain or Llama-index to boost model performance and dependabilityOversee topic modeling projects, such as leveraging BERTopic, to extract valuable insights from unstructured datasetsPromote Responsible AI principles by ensuring solutions meet ethical standards and comply with regulationsFind innovative opportunities within the life sciences and healthcare fields to implement generative AI solutions effectivelyMentor junior data scientists and provide technical guidance, establishing a culture of innovation and excellenceStay informed about the latest advancements in NLP, generative AI, and Responsible AI to maintain the organization’s position as a technological leader Requirements Minimum 5 years of direct experience in data science, with proficiency in Python, natural language processing, and generative AICompetency in utilizing large language models and applying prompt engineering in enterprise contextsFamiliarity with LLM orchestration tools such as Langchain, Llama-index, or HuggingFaceBackground in topic modeling, including hands-on work with BERTopic for sophisticated data analysisStrong understanding of ethical AI practices and Responsible AI applications in regulated industries like life sciences or healthcare Nice to have Proficiency in creating LLM-based solutions tailored specifically to the healthcare or life sciences sectorsKnowledge of incorporating AI-driven systems into operational workflows in compliance-focused industriesCompetency in modern experimental techniques for explainable AI or LLM interpretability We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesOpportunity to join and participate in life of EPAM's Employee Resource GroupsEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for a dynamic and skilled Lead Data Scientist to pioneer innovative AI solutions using advanced technologies such as NLP, generative AI, and large language models (LLMs). This position is crucial in defining the organization's data strategy with a specific emphasis on life sciences and healthcare applications. Responsibilities Drive the design, development, and deployment of LLM-based generative AI applications addressing real-world problemsCollaborate with cross-functional teams to align and implement prompt engineering techniques and advanced NLP methodologiesUtilize expertise in LLM orchestration frameworks, such as Langchain or Llama-index, to enhance model performance and stabilityOversee topic modeling projects, including the application of BERTopic, to extract insights from unstructured datasetsApply Responsible AI principles to ensure AI systems comply with ethical guidelines and regulatory standardsIdentify key applications for generative AI in the life sciences and healthcare domainsProvide mentorship and technical leadership to junior team members, fostering a culture of innovationMaintain an up-to-date understanding of developments in NLP, generative AI, and responsible AI for sustaining the organization’s competitive advantage Requirements 5+ years of professional experience in data science with skills in Python, natural language processing, and generative AIProficiency in integrating large language models and applying prompt engineering in enterprise scenariosFamiliarity with LLM orchestration tools, such as Langchain, Llama-index, or HuggingFaceBackground in topic modeling, including hands-on experience with BERTopic for data insightsStrong understanding of AI ethics and Responsible AI within regulated sectors like life sciences and healthcare Nice to have Proficiency in designing LLM-based systems tailored for healthcare or life sciences applicationsExpertise in embedding AI-driven technologies into workflows in regulated environmentsUnderstanding of advanced or innovative methods in explainable AI and LLM interpretability We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesOpportunity to join and participate in life of EPAM's Employee Resource GroupsEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are looking for an accomplished Lead Data Scientist with a proven track record in developing innovative solutions using state-of-the-art technologies, including NLP, generative AI, and large language models (LLMs). This position is integral to establishing the organization's data strategy, emphasizing applications in life sciences and healthcare. Responsibilities Design, develop, and deploy LLM-based generative AI applications to address real-world challengesWork with cross-functional teams to apply prompt engineering best practices and advanced NLP techniquesEnhance model performance and reliability through the application of LLM orchestration frameworks, such as Langchain or Llama-indexSupport topic modeling efforts, utilizing BERTopic to uncover actionable insights from unstructured dataApply Responsible AI principles to ensure ethical and regulatory compliance in AI applicationsPinpoint areas in the life sciences and healthcare industries for the effective deployment of generative AI solutionsProvide technical leadership and mentorship to junior data scientists to encourage innovation and excellenceMonitor advancements in generative AI, NLP, and Responsible AI to retain the organization’s technology leadership Requirements 5+ years of direct experience in data science with proficiency in Python, natural language processing, and generative AIProficiency in working with large language models and utilizing prompt engineering for enterprise solutionsFamiliarity with LLM orchestration frameworks like Langchain, Llama-index, or HuggingFaceBackground in topic modeling with hands-on involvement in BERTopic for sophisticated data analysisStrong understanding of AI ethics and Responsible AI practices within life sciences and healthcare industries Nice to have Expertise in creating LLM-based solutions tailored to healthcare or life sciences applicationsBackground in embedding AI-driven systems into established workflows in regulated industriesUnderstanding of experimental or emerging techniques in explainable AI or LLM interpretability We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesOpportunity to join and participate in life of EPAM's Employee Resource GroupsEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

We are seeking a skilled and forward-thinking Lead Data Scientist to pioneer transformative solutions leveraging advanced technologies, including NLP, generative AI, and large language models (LLMs). This position will hold a critical role in developing the organization's data strategy, targeting impactful applications in life sciences and healthcare. Responsibilities Lead the design and implementation of LLM-based generative AI applications addressing real-world challengesPartner with cross-functional teams to apply and operationalize advanced NLP techniques and prompt engineering best practicesUse expertise in LLM orchestration frameworks such as Langchain or Llama-index to optimize model outcomesDrive efforts in topic modeling, including leveraging BERTopic to generate insights from unstructured dataUphold Responsible AI standards by ensuring AI solutions align with ethical guidelines and regulatory policiesDiscover opportunities to deploy generative AI applications within the healthcare and life sciences sectorsProvide mentorship and technical leadership to junior data scientists to foster a high-performance teamStay informed on advancements in NLP, generative AI, and Responsible AI to sustain a competitive edge Requirements Minimum of 5 years of experience in data science with comprehensive knowledge of Python, natural language processing, and generative AIProficiency in applying large language models and prompt engineering techniques for practical applicationsFamiliarity with LLM orchestration tools such as Langchain, Llama-index, or HuggingFaceBackground in topic modeling, including applying BERTopic for complex data analysisIn-depth understanding of AI ethics and Responsible AI practices within regulated fields like healthcare or life sciences Nice to have Expertise in developing LLM-centered solutions tailored to healthcare or life sciences use casesSkills in integrating AI technologies into legacy workflows in compliance-heavy sectorsFamiliarity with novel techniques in explainable AI or strategies for LLM interpretability We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesOpportunity to join and participate in life of EPAM's Employee Resource GroupsEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Job Summary: As a Junior UI/UX Designer, you’ll play a pivotal role in shaping how users interact with our AI-powered products. You'll turn complex data and machine learning outcomes into clean, accessible, and user-friendly experiences. You’ll collaborate closely with product managers, engineers, and researchers to conceptualize, design, and iterate on features that make artificial intelligence feel approachable and trustworthy. Key Responsibilities: Design intuitive and elegant user interfaces for AI-driven web and mobile applications. Translate abstract concepts and AI model outputs into clear, understandable user experiences. Create wireframes, user flows, prototypes, and high-fidelity mockups using tools like Figma or Adobe XD. Conduct user research, usability testing, and feedback sessions to validate design decisions. Collaborate with data scientists and engineers to understand technical constraints and opportunities. Design for data-heavy interfaces, dashboards, and visualizations in a way that’s both functional and delightful. Ensure designs follow accessibility and inclusive design standards. Required Skills & Qualifications: 0-4 years of experience as a UI/UX Designer (startup or tech-focused environment preferred). Strong portfolio demonstrating user-centered design across web and/or mobile products. Proficiency in design and prototyping tools like Figma, Sketch, InVision, or Adobe Creative Suite. Familiarity with AI or data-driven products is a strong plus. Ability to work in a lean, agile environment with shifting priorities. Strong communication and collaboration skills. Nice to Have: Experience working with developers to implement designs (basic HTML/CSS/React knowledge a plus). Understanding of designing for trust in AI systems (transparency, interpretability, explainability). Interest in human-computer interaction, behavioral design, or ethical AI. What We Offer: A chance to shape the user experience of cutting-edge AI technology. Dynamic, startup culture with lots of ownership and growth opportunities. Flexible work hours and remote-first culture. Competitive salary and equity options. An interdisciplinary team of friendly, curious, and driven people. Job Type: Full-time Pay: ₹180,000.00 - ₹360,000.00 per year Benefits: Leave encashment Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person Expected Start Date: 01/06/2025

About Us: Data Scientist – 3 – Kotak811 Kotak811 is a Neobank incubated by Kotak Mahindra Bank, with a view of providing completely digitized banking services in the convenience of the customer’s mobile phone. 811 is an early mover in the Indian fintech space that started off as a downloadable savings bank account in 2017, post demonetization, when India took one step closer to a digital economy. The Data Scientist-3 in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key Requirements of The Role Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 7 - 10 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Strong experience in NLP, time series forecasting and recommendation engines preferred Create great data stories with expertise in robust EDA and statistical inference. Should have at least a foundational understanding in Experimentation design Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe preferred Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting. Should be proficient in developing production ready code as per best practices. Experience in using Scala/Java/Go based libraries a big plus Very proficient is SQL and other relational databases along with PySpark or Spark SQL. Proficient is using NoSQL databases. Experience in using GraphDBs like Neo4j a plus. Candidate should be able to handle unstructured data with ease. Candidate should have experience in working with MLEs and be proficient (with experience) in using MLOps tools. Should be able to consume the capabilities of said tools with deep understanding of deployment lifecycle. Experience in CI/CD deployment is a big plus. Knowledge of key concepts in distributed systems like replication, serialization, concurrency control etc. a big plus Good understanding of programming best practices and building code artifacts for reuse. Should be comfortable with version controlling and collaborate comfortably in tools like git Ability to create frameworks that can perform model RCAs using analytical and interpretability tools. Should be able to peer review model documentations/code bases and find opportunities Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) Strong communication, partnership and teamwork skills Should be able to guide and mentor teams while leading them by example. Should be an integral part of creating a team culture focused on driving collaboration, technical expertise and partnerships with other teams Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space Experience in Banking and financial services is a plus. However, sound logical reasoning and first principles problem solving are even more critical A typical day in the life of the job role: 1. As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions 2. Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem 3. Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development 4. Build re-usable code analytical frameworks to address commonly occurring business questions 5. Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty 6. Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges 7. The role will be an approximate 60% IC – 40% leading and the ratios can vary basis need and fit 8. Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP) to enhance the single view of our customer Website: https://www.kotak811.com/