6,876 Data Science Jobs in Chittoor

Location - LTIM Pan IndiaExperience - 5+to 12+ yrsGeneric JD-Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model DeploymentJD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domainExcellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)Experience in Cloud native skills.Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an assetAnalytical mind and business acumen and Strong math skills (e.g. statistics, algebra)Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.Great communication and presentation skills. Should have experience in working in a fast-paced team culture.Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databasesGood understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.Should be a data-oriented person with analytical mind and business acumen.

Job Title: GenAI Technical Support Advisory Lead L25 Support Layer Location: India Remote or India Office Work Hours: US Time Zone Active until 300 PM PST Role Overview We are looking for a handson leader with expertise in Generative AI and enterprise AI chat technologies who can serve as an L25 support layer bridging the gap between frontline support L2 and deep technical experts L3 This person will act as the first point of escalation for AIrelated technical questions ensure quality in responses and coordinate with global colleagues to resolve complex queries This role is part technical support part advisory ensuring internal teams have the right AI tools workflows and knowledge to work effectively Key Responsibilities Serve as the primary point of contact for escalated technical queries related to Generative AI GenAI the internal enterprise AI chat solution and AIassisted workflows Provide direct technical assistance and guidance to users escalate to and collaborate with L3 subjectmatter experts when necessary Ensure accuracy consistency and quality in responses provided to internal teams Document solutions best practices and repeatable workflows for common queries Monitor and analyze support requests to identify training opportunities system improvements or process optimizations Stay updated on emerging AI tools prompt engineering techniques and integration capabilities Required Qualifications Proven experience in Generative AI technologies including enterprise AI chat solutions eg Azure OpenAI Anthropic Claude Google Gemini or custom internal AI chat platforms Strong technical troubleshooting and problemsolving skills especially in complex AI workflows Excellent communication skills with the ability to explain technical concepts clearly to nontechnical audiences Experience acting in an L25 role or similar owning escalations and bridging between support and engineering teams Proactive resourceful and comfortable working across time zones Strong documentation and knowledge management skills Preferred Qualifications Experience working in a technology support or AI advisory role Familiarity with AI integration platforms eg n8n Zapier Workato or workflow automation tools Exposure to prompt engineering best practices

About the Role This is an exciting software engineer role reporting to the Senior Engineering Manager. You will engineer innovative applications and services using Generative AI GenAI You will work with cutting edge technologies creating new experiences and services Key Responsibilities Engineer well architected efficient scalable stable and secure web applications and backend services with an emphasis on APIs and backend services Develop scalable Generative AI systems that can be used across multiple projects and platforms Stay UpToDate with modern software engineering practices procedures and paradigms and apply this knowledge to software Collaborate with an international engineering and product team Experience Please note that you do not need to qualify for all requirements to be considered We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialogue to be considered Bachelor Masters degree in Computer Science Computer Engineering or related field or equivalent experience Python experience GenAI concepts knowledge JS or similar technologies backend Java NET hyperscale's Google Cloud Azure, AWS and have Python experience Experience working with VCS tools such as GIT Experienced in branching merging and building CICD pipelines Experience with security protocols such as oAuth Microsoft Entra ID SSO Okta and securing applications using them, Experience to development and deployment of applications using Docker Kubernetes. Experience working with varied integration patterns REST SOAP gRPC Web Sockets Batch Webhooks Handson experience creating unit test cases integration test cases perform code reviews, Experience managing version control solutions static code analysis and performing code reviews You have experience with load testing troubleshooting and optimizing performance of web services, Clear communication and excellent problem-solving skills, Enjoy working independently and in a team environment Beneficial Experience Experience using Generative AI software engineering solutions such as Cursor Git, Hub CoPilot, Knowledge of reinforcement learning natural language processing and other advanced AI techniques Experience with cloud based AI services and IaaC such as Terraform and Ansible, You have experience working in large data driven services Experience with Generative AI solutions such as Azure AI Studio AWS Bedrock and Hugging Face

Sr Python Gen AI engineers Job Summary Develop generative AI solutions on AWS focusing on LLMs prompt engineering RAG and agentic AI using n8n and Python libraries like LangChain Key Requirements 8 Points 1Build LLMs eg Anthropic Claude on AWS Bedrock with boto3 2Finetune LLMs on AWS SageMaker using transformers and LoRA 3Create prompts with langchain for optimized LLM outputs 4Develop RAG pipelines with AWS OpenSearch and langchain 5Build AI agents with crewai or autogen on AWS Lambda 6Implement agentic workflows in n8n eg n8nioworkflows6270 7Deploy apps with Docker on Amazon ECSEKS 8Monitor performance with Amazon CloudWatch and wandb MustHave Skills 5 years Python experience with 2years in GenAILLMs Expertise in AWS Bedrock SageMaker Lambda boto3 Proficiency in transformers langchain crewai autogen wandb Experience with n8n workflows RAG prompt engineering Preferred Skills AWS certification Machine LearningSolutions Architect Familiarity with llamaindex n8n templates

Sr Python Gen AI engineers Job Summary Develop generative AI solutions on AWS focusing on LLMs prompt engineering RAG and agentic AI using n8n and Python libraries like LangChain Key Requirements 8 Points 1) Build LLMs eg Anthropic Claude on AWS Bedrock with boto3 2) Finetune LLMs on AWS SageMaker using transformers and LoRA 3) Create prompts with langchain for optimized LLM outputs 4) Develop RAG pipelines with AWS OpenSearch and langchain 5) Build AI agents with crewai or autogen on AWS Lambda 6) Implement agentic workflows in n8n eg n8nioworkflows6270 7) Deploy apps with Docker on Amazon ECSEKS 8) Monitor performance with Amazon CloudWatch and wandb Must Have Skills 5 years Python experience with 2years in GenAILLMs Expertise in AWS Bedrock SageMaker Lambda boto3 Proficiency in transformers langchain crewai autogen wandb Experience with n8n workflows RAG prompt engineering Preferred Skills AWS certification Machine LearningSolutions Architect Familiarity with llamaindex n8n templates

Technical Business Analyst to drive the successful launch of a digital assistant within our IT support Slack channels This role will analyze employee interactions coordinate crossfunctional teams and ensure the delivery of highquality knowledge articles and automated solutions to enhance our IT support experience Key Responsibilities Analyze IT support Slack channels to identify common employee requests pain points and automation opportunities Collaborate with IT teams to design and implement and comprehensive knowledge articles for the digital assistant and support engineering teams with knowledge data to support agentic actionbased solutions Author review and maintain clear concise and accurate knowledge articles to support automated resolutions Coordinate and provide quality control over high volumes of knowledge articles produced by other teams ensuring consistency and accuracy Act as a project coordinator managing timelines deliverables and communication across multiple teams to ensure a smooth digital assistant launch Gather and document business requirements user stories and process flows to inform solution design Monitor digital assistant performance postlaunch analyze feedback and recommend continuous improvements Champion best practices in conversational design user experience and IT support automation Must be able to work under own initiative delivering high quality results in a very fast paced environment oWe have 20 Support channels each with 1000 unique requests per month and we want to launch a highquality digital assistant in a different support channel every month from August 2025 Design and maintain structured knowledge models and metadata frameworks optimized for GenAI and LLM technologies eg RAGbased architectures Core Skills Required Business Analysis Requirements gathering process mapping gap analysis and translating business needs into technical solutions Data Analysis Ability to analyze large volumes of unstructured data eg Slack conversations to identify trends and automation opportunities Technical Documentation Writing editing and maintaining clear and concise knowledge articles and technical documentation Project Coordination Managing timelines deliverables and crossteam collaboration Quality Assurance Reviewing and validating content and solutions for accuracy consistency and effectiveness Stakeholder Management Engaging with diverse teams IT Knowledge Management Digital Experience etc and managing expectations Change Management Supporting adoption and training for new digital assistant solutions Communication Strong verbal and written communication skills for both technical and nontechnical audiences Problem Solving Proactive approach to identifying issues and proposing effective solutions User Experience UX Understanding of conversational design and usercentric solution development AISpecific Skills Required Conversational AI Design Experience designing testing and optimizing chatbot or digital assistant conversations and flows Natural Language Processing NLP Understanding of NLP concepts intent recognition and entity extraction AI Training Tuning Ability to train AI models using realworld data refine intents and improve accuracy over time Bot Frameworks Platforms Familiarity with platforms such as Dialogflow Microsoft Bot Framework IBM Watson or similar Integration Skills Experience integrating digital assistants with ITSM tools eg ServiceNow APIs and knowledge bases Analytics Monitoring Ability to use analytics tools to monitor bot performance user satisfaction and identify areas for improvement Content Governance Understanding of how to structure and govern knowledge for optimal AI consumption and retrieval Security Compliance Awareness of data privacy security and compliance considerations in deploying AI solutions at scale Experience with knowledge management platforms ServiceNow Knowledge Base Confluence SharePoint etc Understanding of AIGenAI technologies particularly related to large language models LLMs and retrievalaugmented generation RAG Strong data organization skills including taxonomies metadata standards and information architecture Attributes Experience for a Senior Highly Experienced Candidate Leadership Demonstrated ability to lead crossfunctional teams and drive largescale digital transformation initiatives Strategic Vision Experience developing and executing a roadmap for digital assistant implementation in a complex organization Change Agent Proven track record of championing new technologies and driving adoption across diverse user groups Depth of Experience 7 years in business analysis IT transformation or digital experience roles with at least 3 years working directly with AI or digi

As a Data Scientist at our company, your role will involve the following key responsibilities: - Business & Strategy Alignment - Proactively engage with business stakeholders, product managers, and domain experts to deeply understand key organizational challenges and strategic goals. - Formulate and scope data science initiatives, defining clear objectives, success metrics, and a technical roadmap that directly addresses identified business requirements. - End-to-End Model Development & Deployment - Design, prototype, build, and validate machine learning and statistical models from scratch, without reliance on pre-packaged solutions. - Implement and manage MLOps pipelines within Azure Machine Learning to ensure reproducible model training, versioning, testing, and continuous deployment into live operational environments. - Collaborate with DevOps and engineering teams to ensure algorithms run efficiently and scale reliably within the cloud environment. - Data Engineering & Feature Management - Execute complex data ingestion, exploration, and feature engineering tasks, applying rigorous statistical methods and domain knowledge to raw and disparate datasets. - Ensure data integrity throughout the modeling lifecycle, performing extensive Exploratory Data Analysis (EDA) and cleaning to prepare high-quality inputs. - Advanced AI & Innovation (Preferred/Plus) - Explore, experiment with, and deploy large language models (LLMs) and other Gen AI techniques to create new products or optimize existing processes. - Investigate and prototype intelligent software agents capable of autonomous decision-making, planning, and tool use, moving beyond simple predictive models. - Code Quality & Collaboration - Write clean, well-documented, and efficient Python code, adhering to software engineering best practices, including unit testing and code reviews. - Mentor junior team members and contribute to the growth of the team's overall ML/AI knowledge base. Required Qualifications: - Education: Master's degree or higher in Computer Science, Statistics, Mathematics, or a related quantitative field. - Programming Mastery: 5+ years of professional experience leveraging Python for data science, including deep expertise in the PyData stack (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). - Cloud ML Platforms: Proven, hands-on experience building and managing ML models and MLOps workflows specifically using Azure Machine Learning services. - Statistical Rigor: Strong background in statistical modeling, experimental design (A/B testing), and model validation techniques. - Data Skills: Expert proficiency in SQL and experience working with large-scale, high-velocity data, including ETL/ELT processes and data visualization. Preferred Qualifications (A Significant Plus): - Generative AI Experience: Practical experience fine-tuning, RAG-ifying, or deploying modern Large Language Models (LLMs). - Agent Development: Knowledge of agentic frameworks and experience designing multi-step, tool-using autonomous AI workflows. - Experience with other cloud platforms (AWS Sagemaker, GCP Vertex AI) is beneficial. - Demonstrated ability to write production-level, highly optimized code for critical systems.,

As a skilled and motivated Data Scientist with a strong background in backend development and AI/ML engineering, your role will involve developing and implementing machine learning models, collaborating with various teams to create scalable AI-driven solutions, and utilizing Python and object-oriented programming to build efficient ML pipelines. You will work with popular ML frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development and testing. Additionally, you will integrate AI/ML models into applications via RESTful APIs, manage containerized services using Docker, and follow best practices in version control and software development lifecycles. You will also contribute to microservices-based architectures for AI/ML systems and analyze large datasets to extract actionable insights. Key Responsibilities: - Develop and implement machine learning models, including advanced architectures like Large Language Models (LLMs). - Collaborate with various teams to create scalable AI-driven solutions using sound software engineering principles. - Utilize Python and object-oriented programming to build efficient, maintainable, and production-grade ML pipelines. - Work with popular ML frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development and testing. - Integrate AI/ML models into applications via RESTful APIs while ensuring performance, scalability, and reliability. - Use tools like Hugging Face, LangChain, and OpenAI APIs for NLP and generative AI model development. - Manage containerized services using Docker for seamless deployment and reproducibility of ML solutions. - Follow best practices in version control (Git) and software development lifecycles to support collaborative and agile workflows. - Develop and maintain relational databases (e.g., MySQL, PostgreSQL, Oracle) to support data-driven applications. - Contribute to microservices-based architectures for AI/ML systems. - Apply agent communication protocols and multi-agent system design in relevant AI applications. - Analyze large datasets, extract actionable insights, and continuously improve models. Qualifications Required: - Minimum 4 years of experience in data science, machine learning, or backend development. - Proficiency in Python and solid foundations in object-oriented programming. - Hands-on experience with the entire machine learning model lifecycle, from training to production deployment and monitoring. - Understanding of scalable system design and microservices architecture. - Strong problem-solving skills, attention to detail, and knowledge of data structures and algorithms. - Excellent communication and collaboration abilities, with a knack for working in a dynamic team setting.,

Role Overview: You will be joining as a Senior Data Scientist at Ray Business Technologies in Hyderabad. Your role will involve utilizing your expertise in Machine Learning, Deep Learning, statistical modeling, data analytics, and algorithmic problem-solving to deliver tailor-made solutions in areas like AI, ERP, CRM, Cloud, and BI services. With a focus on quality and excellence, you will be part of a skilled team of experts dedicated to helping organizations achieve growth and operational efficiency. Key Responsibilities: - Sound knowledge of Machine Learning, Deep Learning, statistical modeling, data analytics, and algorithmic problem-solving. - Ability to build from scratch in R & D. - Hands-on experience with components like DL, Transform model, LLM, NLP, Computer Vision, etc. - Implementation of Deep Learning techniques and Natural Language Processing (NLP) techniques. - Proficiency in OCR technology and inclination towards Mathematics/Statistics. - Familiarity with MS Excel skills, Reporting, object-oriented programming, and Python or R. - Good knowledge of Cloud Technology, specifically on the Azure cloud platform. Qualifications Required: - 4-8 years of experience in a data science or analytics role, with a proven track record of leveraging analytics for business impact. - Excellent communication skills to translate complex findings into actionable insights for non-technical stakeholders. - Strong knowledge of machine learning techniques and experience applying them to real-world problems. - Strong analytical and problem-solving skills with attention to detail. - Experience with cloud platforms like Azure and big data technologies such as Hadoop and Spark is a plus.,

Role Overview: In today's business environment, growth isn't just about building value-it's fundamental to long-term business survival. The key is a new operating model-one that's anchored around the customer and propelled by intelligence to deliver exceptional experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clients-by harnessing talent, data and intelligence to revolutionize their operating models. Key Responsibilities: - Manage and analyze data to build data-driven business insights and high-impact data models - Create models and processes to collect, distill, and interpret data for more informed decision-making - Examine and explore data from multiple sources to discover insights for competitive advantage - Utilize tools and methods to create visual representations of data for effective communication of information - Analyze and solve increasingly complex problems - Interact with peers within Navit and potentially with clients and/or Navit management - Seek and provide meaningful and actionable feedback in all interactions - Constantly look for ways to enhance value for stakeholders/clients - Make decisions that impact your work and potentially the work of others - Be an individual contributor and/or oversee a small work effort and/or team Qualification Required: - BE - 5-8 years of experience Additional Details: This role may require you to work in rotational shifts.,

As a Senior Data Scientist at AuxoAI, you will be leading strategic initiatives by applying your deep expertise in advanced algorithms and scientific rigor to solve high-impact business problems and guide AI-native product development. Your role will involve the following responsibilities: - Lead the design and development of algorithms across ML, causal inference, and AI problem spaces. - Conduct exploratory data analysis, feature engineering, and statistical modeling with an emphasis on interpretability and reproducibility. - Benchmark and optimize models using advanced algorithms such as gradient boosting (XGBoost/LightGBM), survival analysis, Bayesian hierarchical models, causal impact analysis, and probabilistic graphical models. - Translate complex models into clear, scalable solutions in collaboration with engineering and product teams. - Establish best practices for experimentation, validation frameworks, and responsible AI across projects. - Mentor junior data scientists and foster a high-standard, knowledge-sharing environment. - Stay up to date with emerging techniques in optimization, causal inference, reinforcement learning, bandits, and MCTS. Qualifications required for this role: - 6+ years of experience delivering production-grade statistical and machine learning solutions. - Strong foundation in hypothesis testing, Bayesian inference, and experimental design. - Proven experience with classical ML algorithms, including boosted trees, GLMs, survival models, and ensemble methods. - Proficient in Python and key libraries such as pandas/Polars, scikit-learn, and StatsModels. - Demonstrated ability to turn ambiguous business questions into measurable statistical models. - Ability to communicate insights effectively to both technical and non-technical audiences. - Exposure to MLOps tools and cloud-based environments is a plus. - Advanced degree (M.S./Ph.D.) in Statistics, Computer Science, or a related field. Join AuxoAI in Mumbai/Bengaluru/Hyderabad/Gurgaon (Hybrid) and be a part of a team that values technical depth, curiosity, discipline, and mentorship in a collaborative environment.,

As a Python+AIML Developer (Data Scientist), your role will involve developing and implementing innovative AI and ML models to solve complex business problems. You will design and build scalable AI solutions using Python and relevant frameworks/libraries such as Flask API, Fast API, Pandas, Scikit Learn, PyTorch, Transformer, OpenAI, and Hugging face. Collaboration with cross-functional teams to understand business requirements and translating them into technical solutions will be a key responsibility. You will also be expected to conduct research and development to stay updated with the latest advancements in AI and ML, engage with clients to understand their needs and provide tailored AI solutions, lead and mentor junior team members, and ensure continuous learning and development to keep up with the fast-paced AI industry. Rapid prototyping and iteration on AI models and solutions to meet business needs will be essential. Key Responsibilities: - Develop and implement innovative AI and ML models to solve complex business problems. - Design and build scalable AI solutions using Python and relevant frameworks/libraries. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Conduct research and development to stay updated with the latest advancements in AI and ML. - Engage with clients to understand their needs and provide tailored AI solutions. - Lead and mentor junior team members, fostering a collaborative and innovative work environment. - Ensure continuous learning and development to keep up with the fast-paced AI industry. - Rapidly prototype and iterate on AI models and solutions to meet business needs. Key Skills And Qualifications: - Proficiency in Python. - Experience with cloud platforms such as AWS, Azure, or GCP for AI/ML/DS project development. - Good understanding of ML models, Deep Learning, NLP/CV, and Generative AI concepts. - Comfortable working in a fast-paced environment with rapid prototyping. - Experience with client engagement and leading teams is a plus. - Proven track record in building products/solutions using cutting-edge AI models and tools. - Ability to conduct quick R&D and continuously upscale and upskill. Additional Company Details: Not mentioned in the provided Job Description.,

Role Overview: As a Data Scientist, RWD at Novartis, you will have the opportunity to work on advanced data science initiatives leveraging the global data42 platform. This platform houses high-quality, multimodal preclinical, clinical, and external real-world data (RWD), including genetic, omics, and imaging data. Your role will involve driving the discovery and development of life-changing medicines by integrating AI/ML approaches across biomedical research and drug development. If you are enthusiastic about unlocking health insights from diverse real-world data, this role is perfect for you. Key Responsibilities: - Champion advanced analytics and AI/ML applications to mine RWD for novel clinical and translational insights, including genetic and imaging modalities. - Collaborate with researchers to address complex scientific questions such as biomarker discovery, digital phenotype identification, and accelerating scientific insights. - Work on methodology advancement and strategic projects across disease areas by integrating multimodal data for maximum impact. - Execute AI/ML projects focused on mining RWD, including genomic and imaging modalities, for exploratory and hypothesis-driven analysis. - Co-create analytic solutions with stakeholders in R&D, Biomedical Research, and external partners. - Drive capability development for integrating new RWD with genetic modalities and imaging analytics within real-world evidence projects. - Support feasibility, design, and conduct of scientific evidence generation studies using RWD for patient outcomes and Novartis R&D vision. - Represent Novartis/data42 in internal and external forums to share innovations and insights. Qualifications Required: - PhD, MD, or equivalent advanced degree in a quantitative field such as computer science, genetics, statistics, biomedical engineering, or epidemiology. - 5+ years of experience in quantitative/data science roles within life sciences, with deep expertise in AI/ML applied to RWD, genomics/omics, and medical imaging. - Strong programming skills in Python, R (optional), SQL, Spark, and analytics platforms. - Deep understanding of evidence generation methodologies, advanced analytics, and pharmaceutical product development lifecycle. - Proven expertise in integrating and analyzing multi-modal RWD for medical evidence generation. Company Details: Novartis is committed to building an outstanding, inclusive work environment and diverse teams that are representative of the patients and communities served. If you are passionate about using data science to make a meaningful impact in healthcare, Novartis is the place for you. (Note: Company-specific details were not included in the provided job description.),

As a Data Scientist at Novartis, you will have the opportunity to understand complex and critical business problems from various stakeholders and business functions. You will formulate an integrated analytical approach to mine data sources, employ statistical methods, and utilize machine learning algorithms to contribute to solving unmet medical needs, discover actionable insights, and automate processes for reducing effort and time for repeated use. Your role will involve managing the definition, implementation, and adherence to the overall data lifecycle of enterprise data, ensuring the availability of useful, clean, and accurate data throughout its useful lifecycle. Additionally, you will need to have high agility to work across various business domains. **Key Responsibilities:** - Innovate by transforming the way problems are solved using effective data management, Data Science, and Artificial Intelligence. - Articulate solutions/recommendations to business users. - Provide pathways to manage data effectively for analytical uses. - Present analytical content concisely and effectively to non-technical audiences and influence non-analytical business leaders to drive major strategic decisions based on analytical inputs. - Collaborate with internal stakeholders, external partners, institutions, and cross-functional teams to solve critical business problems and propose operational efficiencies and innovative approaches. - Evaluate the need for technology and novel scientific software, visualization tools, and new computation approaches to increase efficiency and quality of Novartis data sciences practices. - Identify research articles, reproduce/apply methodology to Novartis business problems, and contribute to cross-industry work streams in external relevant working groups. - Ensure exemplary communication with all stakeholders, including senior business leaders. - Contribute to the development of Novartis data management and data science capabilities. **Qualifications Required:** - Work Experience: 10+ years of relevant experience in Data Science. - Skills: Apache Spark, Artificial Intelligence (AI), Big Data, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Machine Learning (ML), Master Data Management, Python (Programming Language), R (Programming Language), Statistical Analysis. If managing a team, you will be expected to empower the team, provide guidance and coaching with limited guidance from more senior managers. Additionally, you will be responsible for the reporting of technical complaints, adverse events, and special case scenarios related to Novartis products within 24 hours of receipt. **Why Novartis:** Novartis is committed to reimagine medicine to improve and extend people's lives, striving to become the most valued and trusted medicines company in the world. By joining Novartis, you will be part of a mission-driven organization where associates are the driving force behind reaching ambitious goals. For more information on benefits and rewards at Novartis, please refer to the Novartis Life Handbook: [Novartis Life Handbook](https://www.novartis.com/careers/benefits-rewards) **Diversity and Inclusion:** Novartis is dedicated to building an outstanding, inclusive work environment with diverse teams that are representative of the patients and communities they serve. **Accessibility and Accommodation:** Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If you require accommodation during the recruitment process, please contact [email protected] with details of your request and the job requisition number. Join the Novartis Network to stay connected and learn about suitable career opportunities: [Novartis Network](https://talentnetwork.novartis.com/network),

As a Senior Data Scientist at our client's company, you will be responsible for leading the design, deployment, and scaling of production-grade ML systems with a focus on AI, machine learning engineering (MLE), and generative AI. Your role will involve working on large language model (LLM)-based pipelines, AI copilots, and agentic workflows. You will be expected to balance cutting-edge research with production rigor and mentor team members while building impact-first AI applications. **Responsibilities:** - Own the full ML lifecycle, including model design, training, evaluation, and deployment - Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection - Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines - Build agentic workflows for reasoning, planning, and decision-making - Develop real-time and batch inference systems using Docker, Kubernetes, and Spark - Utilize state-of-the-art architectures like transformers, diffusion models, RLHF, and multimodal pipelines - Collaborate with product and engineering teams to integrate AI models into business applications - Mentor junior team members and advocate for MLOps, scalable architecture, and responsible AI best practices **Ideal Candidate:** - Must have 5+ years of experience in designing, deploying, and scaling ML/DL systems in production - Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX - Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines - Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration) - Solid understanding of MLOps tools like Docker, Kubernetes, Spark, model registries, and deployment workflows - Strong software engineering background with experience in testing, version control, and APIs - Proven ability to balance innovation with scalable deployment - B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field - Bonus points for open-source contributions, GenAI research, or experience in applied systems at scale,

Role Overview: As a Sr. Data Scientist at our company, you will be an integral part of our fast-growing data scientists team. We are seeking self-motivated individuals who are passionate about AI predictive image analytics and machine learning. Your primary responsibility will be to design and develop highly scalable machine learning solutions that have a significant impact on various aspects of our business. You will work on designing and developing Neural Network solutions, especially Convolution Neural Networks, based on our reference architecture leveraging big data, cloud technology, micro-service architecture, and high-performing compute infrastructure. Your daily activities will involve contributing to all phases of algorithm development, including ideation, prototyping, design, and production implementation. Key Responsibilities: - Designing and developing highly scalable machine learning solutions - Working on Neural Network solutions, especially Convolution Neural Networks - Contributing to all phases of algorithm development, including ideation, prototyping, design, and production implementation Qualifications Required: - Background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems - Experience in building machine learning applications and broad knowledge of machine learning APIs, tools, and open source libraries - Strong coding skills and fundamentals in data structures, predictive modeling, and big data concepts - Experience in designing full stack ML solutions in a distributed compute environment - Proficiency in Python, Tensor Flow, Keras, Sci-kit, pandas, NumPy, AZURE, AWS GPU - Excellent communication skills with multiple levels of the organization (Note: Additional details of the company were not provided in the JD),

As a Data Scientist Intern at our company, you will have the opportunity to work closely with our data science team and contribute to our business objectives by analyzing large datasets, developing predictive models, and extracting actionable insights. You will be responsible for the following: - Develop applications with ML/DL algorithms and pattern recognition - Build sustainable models - Enhance data collection procedures to include information relevant for building analytic systems - Process, cleanse, and verify the integrity of data used for analysis To qualify for this internship, you should meet the following qualifications: - B-tech/M-tech/Ms in Computer Engineering from a reputed university - A degree or diploma in Data Science/Analytics from a prestigious institute - Good command of languages like Python and analysis libraries (e.g., Pandas, NumPy, scikit-learn) - Excellent understanding of machine learning techniques and algorithms such as k-NN, Naive Bayes, SVM, Decision Forests, etc. - Great communication skills - Quick Learner Join us for this exciting opportunity to gain hands-on experience in the field of data science and contribute to impactful projects during your 6-month internship.,

As an experienced candidate in the field of analytics, data science, and software engineering, you will be joining Micron Technology, a global leader in memory and storage solutions. Your role will involve leveraging advanced analytics and modern machine learning techniques to extract insights from data and drive intelligence. Here is a breakdown of the key responsibilities and qualifications required for this position: **Role Overview:** You will play a crucial role in transforming information into intelligence, enabling faster learning, communication, and advancement. Your focus will be on utilizing your expertise in analytics, data science, and software engineering to contribute to the innovative solutions offered by Micron Technology. **Key Responsibilities:** - Deep understanding and experience in advanced analytics and modern machine learning techniques. - Proficiency in web development tools such as Angular, React, etc. - Hands-on experience in natural language processing (NLP) and other related technologies. - Ability to extract data from various databases using Snowflake, SQL, and other query languages, and apply data cleansing techniques. - Experience with data visualization tools like Tableau to communicate data findings effectively. - Strong software development skills with fluency in Python. - Excellent verbal and written communication skills. **Qualifications Required:** - Degree in Computer Science, Mathematics, Statistics, Data Science, or related fields. - Minimum of 6 years of relevant hands-on experience in analytics, data science, or software engineering. You will be part of a company that is dedicated to transforming how the world uses information to enrich life for all. Micron Technology focuses on customer satisfaction, technological leadership, and operational excellence to deliver high-performance memory and storage products. Your contributions will fuel the data economy, driving advancements in artificial intelligence and 5G applications. If you are interested in this opportunity to be part of Micron Technology, please visit micron.com/careers for more information. For any assistance with the application process or accommodations required, you can contact hrsupport_india@micron.com. Micron Technology strictly prohibits the use of child labor and complies with all applicable laws and labor standards. Candidates are encouraged to utilize AI tools to enhance their application materials, ensuring accuracy and authenticity in their qualifications. Micron advises job seekers to be cautious of unsolicited job offers and verify the authenticity of communications by checking the official Micron careers website.,

Role Overview: You will be joining Winbold, a startup focused on an AI-driven investment platform. As a Data Science and Machine Learning Engineer, you will be responsible for hands-on tasks such as feature engineering, model training, and building predictive models for real-time predictions and forecasts. You should have expertise in ML Packages like sklearn, xgboost, and timeseries models, along with experience in feature engineering, MLFlow for model experimentation, model visualization, and deploying models in Cloud and hosted environments at scale. Developers with AI-driven mindset are encouraged to apply. Immediate joining is required, and candidates with notice period should not apply. Key Responsibilities: - Hands-on experience in feature engineering, model training, and building predictive models - Proficiency in ML Packages such as sklearn, xgboost, and timeseries models - Experience in feature stores and MLFlow for model experimentation - Ability to visualize models effectively - Deployment of models in Cloud and hosted environments at scale Qualifications: - No specific degree requirement - Looking for a hands-on developer who can efficiently complete tasks (Note: Omitting the "Additional Information" section as it does not contain relevant details about the job role),

Role Overview: You are a skilled Data Scientist with expertise in machine learning, statistical modeling, and business-focused analytics. Your role involves building predictive models, time-series forecasting, and optimization solutions using Python, SQL, and Azure ML or Databricks. Strong communication skills are essential to translate complex data into clear business insights. Key Responsibilities: - Analyze large, complex datasets to uncover actionable insights for driving business impact. - Design and implement predictive models, especially in areas like customer penetration optimization and regional performance forecasting. - Apply machine learning techniques (supervised and unsupervised learning) to solve critical business problems such as classification, regression, and clustering. - Engineer meaningful features from raw data to optimize model performance. - Conduct exploratory data analysis (EDA) to identify trends, anomalies, and business opportunities. - Conduct feature selection and hyperparameter tuning to enhance model performance. - Validate model results using appropriate statistical and ML evaluation metrics. - Collaborate with data engineers to build and refine robust data pipelines. - Translate insights into clear, actionable strategies by working closely with product, engineering, and business teams. - Utilize visualization tools like Tableau, Power BI, and Google Analytics to communicate insights and model outcomes. - Build models for production deployment using tools like Spring Boot and GitLab. - Consider partner-specific (JV & Wholesale) and regional variations to fine-tune analytics approaches. - Stay updated with ML/AI innovations and suggest tool or process improvements. - Participate in Agile ceremonies and manage tasks using tools such as Jira. - Document methodologies and maintain version control for all modeling projects. Qualification Required: - Bachelor's degree in Computer Science or a related field. - Master's degree or equivalent advanced degree preferred. - Proven track record of delivering data science projects from ideation to production. - Strong communication skills and the ability to tell compelling stories with data. - Comfortable working with both structured and unstructured data sets. Additional Company Details: GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, GlobalLogic has been pioneering the digital revolution by creating innovative and widely used digital products and experiences. The company collaborates with clients to transform businesses and redefine industries through intelligent products, platforms, and services. GlobalLogic prioritizes a culture of caring, continuous learning and development, interesting and meaningful work, balance and flexibility, and integrity as key values for employees and clients.,