192 Data Preprocessing Jobs

As a GenAI Data Scientist - Senior Associate at PwC US - Acceleration Center, you will be responsible for developing and implementing machine learning models and algorithms for GenAI projects. Your role will involve collaborating with cross-functional teams to understand business requirements, performing data cleaning and preprocessing, and validating model performance. Additionally, you will communicate findings to stakeholders and stay updated with the latest advancements in GenAI technologies. **Key Responsibilities:** - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Utilize Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. **Qualifications Required:** - Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. - 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. - Strong programming skills in languages such as Python, R, or Scala. - Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. - Experience with data preprocessing, feature engineering, and data wrangling techniques. - Solid understanding of statistical analysis, hypothesis testing, and experimental design. - Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. - Knowledge of data visualization tools and techniques. - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. ,

As a Data Scientist Engineer, your role involves designing scalable machine learning architectures and implementing data science solutions for complex business problems. You will be responsible for key tasks such as model development, data preprocessing, model training, evaluation & optimization, model deployment, cross-functional collaboration, research & innovation, and documentation. Key Responsibilities: - Design and implement machine learning models to address business challenges effectively. - Clean, preprocess, and analyze large-scale datasets for extracting insights and engineering model features. - Train and fine-tune ML models using deep learning, regression, classification, and ensemble techniques. - Evaluate model performance and improve accuracy, efficiency, and scalability. - Deploy ML models into production environments; monitor and retrain models as needed. - Collaborate with engineers, data scientists, and stakeholders to integrate ML solutions. - Stay current with the latest trends in AI/ML and contribute to knowledge sharing. - Maintain thorough documentation of models, workflows, and processes. Qualifications: - Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field - 6-10 years of industry experience in data science, machine learning, or related domains Must-Have Skills: - Experience in Time Series Forecasting, Regression, and Classification models - Proficient in Python, R, and Data Analysis - Strong experience with Pandas, NumPy, Matplotlib for large data handling - Version control tools like Git - ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras - Exposure to Cloud Platforms: AWS / Azure / GCP - Experience with Docker and Kubernetes - Hands-on in Data Collection, Feature Engineering, Model Selection, Evaluation, and Deployment Good to Have: - Exposure to Big Data tools such as Hadoop, Spark - BFSI / Banking domain experience - Familiarity with additional AI/ML libraries and tools beyond the mentioned frameworks In addition to the technical skills required for the role, you should be open to working on a contractual or temporary basis with a contract length of 6 months. You may be based in Noida with the requirement of working from the office twice a week and flexibility for travel as needed.,

Job Summary We are seeking a highly skilled and passionate GenAI & Data Science Engineer with 3-5 years of experience in Python development, Generative AI, and Data Science. The ideal candidate will have a strong background in AI agent workflows, LLM fine-tuning, and Retrieval-Augmented Generation (RAG) models. You will play a key role in designing, developing, and deploying cutting-edge AI solutions using frameworks such as Lang Chain, Llama Index, and Hugging Face. This role offers the opportunity to work on transformative AI-driven solutions, leveraging state-of-the-art tools and frameworks to create impactful solutions in real-world applications. Key Responsibilities Design, develop, and deploy AI solutions with a focus on Generative AI and Data Science. Fine-tune Large Language Models (LLM) and implement Retrieval-Augmented Generation (RAG) models. Collaborate with cross-functional teams to integrate AI models into business workflows. Utilize frameworks such as Lang Chain, Llama Index, and Hugging Face to build scalable AI solutions. Participate in end-to-end AI model development, including data preprocessing, model selection, training, evaluation, and deployment. Continuously monitor and optimize the performance of AI models to ensure they meet business requirements. Work with stakeholders to understand AI requirements and contribute to solution design and architecture. Stay up to date with the latest advancements in AI technologies and industry trends. Qualifications Bachelors or Masters degree in Computer Science, Data Science, AI, or a related field. 3-5 years of professional experience in Python development, AI, and Data Science. Proven experience with Generative AI, including fine-tuning LLMs and working with RAG models. Hands-on experience with frameworks like Lang Chain, Llama Index, and Hugging Face. Strong understanding of machine learning algorithms, deep learning, and natural language processing (NLP). Experience in AI model deployment and scaling in production environments. Technical Skills Programming: Python, including libraries like TensorFlow, PyTorch, Pandas, NumPy, etc. AI/ML Frameworks: Lang Chain, Llama Index, Hugging Face, etc. Machine Learning Algorithms: Supervised and Unsupervised Learning, NLP, Reinforcement Learning. Data Engineering: Data preprocessing, data wrangling, ETL processes. Databricks experience. Cloud Platforms: AWS, GCP, Azure (experience with AI tools on cloud platforms). Version Control: Git, GitHub, GitLab. Familiarity with containerization tools like Docker and Kubernetes. Soft Skills Strong problem-solving skills and analytical thinking. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Adaptability to evolving technologies and requirements. Strong attention to detail and high quality of work. Time management and ability to meet deadlines. Work Experience 3-5 years of experience working in AI, Data Science, or a related field. Practical experience in working with Generative AI, LLM fine-tuning, and RAG models. Experience with deployment of AI models in cloud environments. Proven track record delivering AI-driven solutions to solve real business problems. Good to Have Experience with other AI tools and frameworks like OpenAI GPT, DeepPavlov, or similar. Exposure to data integration and API development. Knowledge of advanced topics in NLP, such as transformers and attention mechanisms. Experience with building AI-powered applications or chatbots. Compensation & Benefits Salary: Competitive base salary based on experience and skills. Bonus: Annual performance-based bonus. Benefits: Health insurance, paid time off, work-from-home options, and retirement benefits. Learning & Development: Access to AI and Data Science training, conferences, and certifications. Key Performance Indicators (KPIs) & Key Result Areas (KRAs) KPIs Timely delivery of AI projects and solutions. Quality and accuracy of fine-tuned AI models. Successful integration of AI solutions into business workflows. Continuous improvement in AI model performance (accuracy, speed, scalability). Stakeholder satisfaction and feedback on AI-driven solutions. Contribution to knowledge sharing and team collaboration. KRAs AI model development, fine-tuning, and deployment. End-to-end ownership of AI solution delivery. Collaboration with cross-functional teams to define and implement business requirements. Optimization and monitoring of AI solutions in production environments. Contact: [HIDDEN TEXT] Show more Show less

As a Software Engineer at Visa's VAS Innovation team, you will play a crucial role in developing cutting-edge solutions to enhance the capabilities of Value-Added Services (VAS) platform. Your responsibilities will include: - Engaging in the design, development, and implementation of innovative software solutions, such as generative AI and modern integration patterns. - Collaborating with cross-functional teams to deliver complex projects that integrate emerging technologies with existing platforms. - Engaging in continuous learning and development to enhance your skills and knowledge. - Developing client-focused solutions with a mindset to deliver exceptional value and innovation. - Contributing to the design and development of APIs that enhance the integration of VAS applications, platforms, and solutions. - Participating in the advancement of the technology modernization roadmap by adopting best-in-class technology solutions. - Continuously assessing and improving technology stacks, development processes, and methodologies to enhance productivity and quality. - Adhering to industry best practices in software development and emphasizing quality, security, performance, scalability, and resilience. - Implementing best engineering practices and automating software development, testing, and deployment processes to focus on continuous improvement. - Supporting incident management, change, and problem management processes to ensure high availability and reliability of services. Qualifications: Basic Qualifications: - 3 or more years of relevant work experience with a bachelor's degree or 2 years with an Advanced Degree (Masters/PhD in Engineering/Computer Science). - Self-driven and willing to work across technologies/languages. - Expert-level skills in Java and Python with skills in C++ and C# being a bonus. - In-depth understanding of NLP including tokenization, word embeddings, and basic sequence models. - Proficiency in implementing and fine-tuning AI models using popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). - Ability to work with large datasets and perform exploratory data analysis. - Experience with data preprocessing, feature engineering, and model evaluation techniques. - Expertise in handling multi-threading, concurrency, and error-handling. - Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing large components for enterprise projects. - Knowledge of version control, CI/CD pipelines, and best practices for ML model deployment. Preferred Qualifications: - Understanding of enterprise security, certificate management, etc. - Hands-on experience with Jenkins and container deployment architecture. - Experience using OAuth2.0, SSO, and authentication methods/protocols. - Expertise in application security, SSDLC, and knowledge of cryptography fundamentals.,

Role Overview: You will be working as a Spec Analytics Analyst (C11) in the TTS Analytics team at Citi. Your main responsibilities will include working on various analyses throughout the year to solve business problems related to client acquisition, engagement, client experience, and retention within the TTS business. You will be involved in data science and business analytics projects, developing machine learning models, and communicating insights and recommendations to stakeholders. Key Responsibilities: - Work on multiple analyses throughout the year on business problems across the client life cycle including acquisition, engagement, client experience, and retention for the TTS business - Design, develop, and deploy machine learning models to address business needs - Communicate insights and recommendations to stakeholders - Leverage various analytical approaches, tools, and techniques to provide data-driven insights and machine learning solutions Qualifications Required: - Bachelor's or Master's Degree with 5-8 years of experience in data science and analytics - Marketing analytics experience - Experience in sales/marketing strategy optimization, pricing optimization, client experience, cross-sell, and retention - Strong understanding of machine learning principles, model development methodologies, and deployment strategies - Hands-on knowledge of Data Science and Machine Learning, including supervised and unsupervised learning algorithms - Experience with time series models, unstructured data analysis using NLP/Text Mining techniques, and building machine learning pipelines - Proficient in PySpark, SQL (Python/R), Scikit-learn, TensorFlow, PyTorch, MS Excel, PowerPoint - Good to have experience with Tableau and Hive Company Details (if present): The TTS Analytics team at Citi provides analytical insights to various functions within the global Treasury & Trade Services business. They focus on driving acquisitions, cross-sell, revenue growth, and improvements in client experience by extracting relevant insights, identifying business opportunities, building predictive models, and designing go-to-market strategies for different business problems.,

As a member of the AI Models team at AMD, you will have the opportunity to work on innovative training and inference techniques for large language models (LLMs), large multimodal models (LMMs), and image/video generation. You will be part of a world-class research and development team focused on efficient pre-training, instruction tuning, alignment, and optimization. Your contributions will play a significant role in shaping the direction and strategy of this important charter. This role is ideal for individuals who are passionate about staying updated on the latest literature, generating novel ideas, and implementing them through high-quality code to push the boundaries of scale and performance. The ideal candidate will possess both theoretical expertise and practical experience in developing LLMs, LMMs, and/or diffusion models. Familiarity with hyper-parameter tuning methods, data preprocessing & encoding techniques, and distributed training approaches for large models is crucial for success in this role. Key Responsibilities: - Pre-train and post-train models over large GPU clusters while optimizing for various trade-offs. - Enhance Generative AI model architectures, data, and training techniques to improve upon the state-of-the-art. - Accelerate training and inference speed across AMD accelerators. - Develop agentic frameworks to address diverse problem sets. - Disseminate research findings through publication at top-tier conferences, workshops, and technical blogs. - Engage with academia and open-source ML communities. - Drive continuous improvement of infrastructure and development ecosystem. Preferred Experience: - Proficient in Python with strong development and debugging skills. - Experience with deep learning frameworks such as PyTorch or TensorFlow and distributed training tools like DeepSpeed or PyTorch Distributed. - Familiarity with fine-tuning methods (e.g., RLHF & DPO) and parameter-efficient techniques (e.g., LoRA & DoRA). - Solid understanding of various transformers and state space models. - Demonstrated publication record in top-tier conferences, workshops, or journals. - Strong communication and problem-solving abilities. - Enthusiasm for continuous learning and innovation in the field. Academic Credentials: - Advanced degree (Masters or PhD) in machine learning, computer science, artificial intelligence, or related field is preferred. - Exceptional candidates with a Bachelor's degree may also be considered. Join us at AMD to be a part of a culture that values innovation, excellence, and diversity. Together, we advance the frontiers of technology and create products that impact the world.,

Roles and Responsibilities: Experience in implementation of ML/AI solutions for enterprise level on Azure/AWS cloud Communicate effectively with clients on brainstorming the solutions Conduct research and development majorly on AI/ML implementations Implement RAG architecture for confidential data use case Apply deep learning techniques and machine learning experience Fine tune LLM for optimal performance Develop and implement generative AI models using state-of-the-art techniques and frameworks Collaborate with cross-functional teams to understand project requirements and design solutions that address business needs Research and experiment with new AI algorithms, architectures, and tools to improve model performance and capabilities Train, evaluate, and fine-tune generative models using large datasets to achieve desired outcomes Optimize model inference and deployment pipelines for efficiency and scalability in production environments Stay updated with the latest advancements in AI research and technology and contribute to the knowledge sharing within the team Participate in code reviews, documentation, and knowledge transfer sessions to ensure high-quality deliverables and effective collaboration Good to have - experience in healthcare and life sciences to relevant projects Leverage MLOps and LLMOps experience to optimize operations Act as a hands-on leader with GenAI and Machine Learning experience Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field 7+ years of experience in implementing ML/AI solutions for enterprise level on Azure/AWS cloud Strong programming skills in languages such as Python, with experience in data science Proficiency in generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and related architectures Good understanding of machine learning concepts, algorithms, and methodologies Experience with data preprocessing, model training, and evaluation using large-scale datasets Excellent problem-solving skills and the ability to work independently as well as part of a team Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders Experience in healthcare and life sciences is a plus Familiarity with MLOps, AiOps, and llmops is beneficial Good to have certifications in AI/ML or related fields

As a Data Analyst at Rishi FIBC, Green Pro, and Krishi Geopack, you will be responsible for supporting the marketing team and management in developing effective brand strategies and marketing plans to drive business volume growth. Your role will be crucial in positioning the company as the global supplier of choice in the FIBC industry and other Rishi Products. Your responsibilities will include data collection, cleaning, preprocessing, analysis, report generation, interpretation, visualization, and ensuring data security. It is essential to have a strong educational background in IT or Computer Science (BE/B.Sc.) and at least 2 years of experience in data analysis tools. Proficiency in Microsoft Power BI, MS-SQL, and Python is required to excel in this role.,

We are seeking an accomplished Senior Technical Specialist Data Science to lead cutting-edge AI/ML initiatives, design scalable data-driven solutions, and drive innovation across the enterprise. This role requires deep expertise in AI/ML, cloud technologies (Azure), data engineering, and MLOps , with proven experience in leading teams and delivering AI-powered solutions to solve complex business challenges. Key Responsibilities Leadership & Mentorship : Lead, mentor, and inspire a team of Data Scientists to deliver enterprise-grade AI/ML solutions. Solution Architecture : Design and implement end-to-end AI/ML architectures for complex business problems. Generative AI & NLP : Develop Generative AI applications, including RAG-based chatbots, leveraging LLMs, LangChain, LlamaIndex, and Azure OpenAI. MLOps & Deployment : Build, deploy, and monitor scalable ML pipelines using MLFlow, Kubeflow, ClearML, and Azure MLOps frameworks. Advanced Modeling : Deliver predictive modeling, deep learning, and NLP solutions using TensorFlow, PyTorch, BERT, and advanced ML algorithms. Data Visualization & Insights : Perform data analysis and develop interactive dashboards using Tableau, Power BI, Streamlit, and Matplotlib. Cloud & DevOps Integration : Collaborate with DevOps teams to automate ML workflows, optimize infrastructure with Docker/Jenkins, and ensure model scalability and reliability. Strategic Collaboration : Partner with business leaders to define AI strategy, drive data-driven decision-making, and deliver measurable business impact. Innovation & Research : Stay at the forefront of AI/ML advancements, applying emerging techniques to improve accuracy, efficiency, and scalability. Required Skills & Expertise Programming & Scripting : Python, PowerShell, Bash, Perl Machine Learning & Deep Learning : SVM, KNN, XGBoost, LSTM, TensorFlow, PyTorch NLP & Generative AI : Spacy, BERT, LangChain, LlamaIndex, LLOps frameworks Data Visualization : Tableau, Power BI, Streamlit, Matplotlib Cloud & MLOps : Azure ML Studio, Azure OpenAI, Docker, Jenkins, GitHub, MLFlow, ClearML, Kubeflow Databases & Big Data : MS-SQL, Data Preprocessing, Feature Engineering Qualifications Bachelors or Master’s in Computer Science, Data Science, AI/ML, or related field. 10+ years of experience in data science/AI, with at least 3+ years in a leadership role . Proven track record of delivering AI/ML solutions at scale in enterprise environments.

July 16, 2025 admin Interns Gen AI & ML Full Time Chennai Posted 2 months ago We are inviting enthusiastic interns to work on real-world projects in Generative AI and Machine Learning. This role offers hands-on exposure to AI models, prompt engineering, and data pipelines in a practical, team-driven environment. Experience: 01 Year Skills Basic knowledge of Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Familiarity with LLMs, NLP, or Gen AI concepts. Understanding of data preprocessing, model training, and evaluation. Eagerness to learn, research, and experiment with new AI trends. Responsibilities & Required Skills Support development of Gen AI prototypes and ML models. Work with datasets to clean, preprocess, and feed into models. Collaborate with AI engineers on prompt tuning and performance testing. Document findings, results, and experiment logs. Stay updated on recent Gen AI advancements and tools. Job Features Job Category AI & Data Science / Internship No of Positions 6 Experience 01 Year Location Chennai Employment Type Internship Apply For This Job Name* Email* Phone* United States+1 United Kingdom+44 Afghanistan (????????????)+93 Albania (Shqipri)+355 Algeria (??????????)+213 American Samoa+1 Andorra+376 Angola+244 Anguilla+1 Antigua and Barbuda+1 Argentina+54 Armenia (????????)+374 Aruba+297 Australia+61 Austria (sterreich)+43 Azerbaijan (Az?rbaycan)+994 Bahamas+1 Bahrain (??????????)+973 Bangladesh (????????)+880 Barbados+1 Belarus (????????)+375 Belgium (Belgi)+32 Belize+501 Benin (Bnin)+229 Bermuda+1 Bhutan (?????)+975 Bolivia+591 Bosnia and Herzegovina (????? ? ???????????)+387 Botswana+267 Brazil (Brasil)+55 British Indian Ocean Territory+246 British Virgin Islands+1 Brunei+673 Bulgaria (????????)+359 Burkina Faso+226 Burundi (Uburundi)+257 Cambodia (???????)+855 Cameroon (Cameroun)+237 Canada+1 Cape Verde (Kabu Verdi)+238 Caribbean Netherlands+599 Cayman Islands+1 Central African Republic (Rpublique centrafricaine)+236 Chad (Tchad)+235 Chile+56 China (??)+86 Christmas Island+61 Cocos (Keeling) Islands+61 Colombia+57 Comoros (???? 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As a Senior AI Engineer at BlackLine, you will play a crucial role in developing and deploying enterprise-ready Generative AI solutions. Your responsibilities will include turning raw data into actionable insights, contributing to innovative solutions, and driving advancements in artificial intelligence. You will be at the forefront of applying generative AI and automation technologies to address real-world business challenges. Your expertise in AI technologies, including vector databases and knowledge graphs, will be instrumental in navigating complexities such as data privacy, security, compliance, and accuracy. You will have the opportunity to explore emerging technologies to enhance AI implementations through workflow automation and enterprise integration technologies. Utilizing platforms like MuleSoft, Workato, or Boomi, you will streamline data flow and ensure seamless system interoperability. In addition, you will design, fine-tune, and deploy state-of-the-art Generative AI models to address enterprise-specific use cases, such as knowledge management, customer support, personalized insights, and content generation. Collaborating with business stakeholders, you will identify high-impact opportunities for applying Generative AI and document their requirements. Furthermore, you will drive decisions on building custom AI solutions or leveraging existing technologies to align with the company's strategic goals and resource constraints. Your technical skills in programming languages like Python or Java, familiarity with cloud platforms such as AWS Bedrock, Azure AI Studios, or Google Cloud Vertex AI, and experience in data preprocessing and feature engineering will be essential in your role. Additionally, your problem-solving abilities, critical thinking skills, and adaptability to a fast-paced environment will contribute to your success at BlackLine. Join us at BlackLine, a technology-based company with a vision for the future and a culture that fosters diversity, inclusivity, and continuous learning. Be part of a winning team that values innovation and empowers its employees to thrive in the world of Finance Automation.,

As a member of the J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science team, you will be at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Leveraging advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), our team is dedicated to transforming how compliance, conduct, and operational risks are managed across the organization. Joining our CCOR Data Science, Applied AI & ML team, you will play a crucial role in developing AI/ML solutions that enhance compliance and risk management. Your responsibilities will involve leveraging advanced AI / ML techniques, LLMs, and Agentic AI to develop and deploy models for tasks such as anomaly detection, risk assessment, and compliance monitoring. Working with diverse datasets, you will contribute to improving risk management processes and ensuring regulatory compliance. Additionally, as part of a leading analytics community, you will have opportunities for skill development and career growth in AI, machine learning, and data science. Your primary job responsibilities will include designing, deploying, and managing AI/ML models by utilizing advanced AI/ML techniques, LLMs, and Agentic AI for developing compliance and risk management solutions. You will conduct research on AI techniques to enhance model performance in the compliance and risk domains. Collaborating with cross-functional teams, you will identify requirements, develop solutions, and deploy models in the production system. Effective communication of technical concepts to both technical and non-technical stakeholders will be essential. Furthermore, you will develop and maintain tools and frameworks for model training, evaluation, and optimization, while analyzing and interpreting data to evaluate model performance and identify areas for improvement. To qualify for this role, you should have a Master's degree in a quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics, etc. from top-tier Universities. A minimum of 3 years of relevant experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI, is required. Proficiency in Python programming, with experience in frameworks like PyTorch or TensorFlow, is essential. Thorough knowledge of machine learning concepts, including transformers and language modeling, is expected. Experience in data pre-processing, feature engineering, and data analysis is necessary. Excellent problem-solving skills and the ability to communicate ideas and results clearly are crucial. Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows will be advantageous.,

PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey. Our expert teams of Business Analysts, based across the US, Canada, Europe, and India, provide Analytics and Business Solutions using our worldwide delivery models for a wide range of clients. Our clients include established, multinational BioPharma leaders and innovators, as well as entrepreneurial firms on the cutting edge of science. We have deep expertise in Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics, and the Analytics Center of Excellence Model. Our wealth of therapeutic area experience cuts across Oncology, Immuno-science, CNS, CV-Met, and Rare Diseases. We support our clients" needs in Primary Care, Specialty Care, and Hospital business units, and we have managed portfolios in the Biologics space, Branded Pharmaceuticals, Generics, APIs, Diagnostics, and Packaging & Delivery Systems. If you are keen to work on analytical problem solving, then work in the area of advance data analytics/sciences to provide consulting to pharmaceutical clients. We are open for the Delhi location as well along with Hyderabad. Responsibilities: - Analyze different pharmaceutical / life sciences data sets like claims data, electronic medical records, anonymous patient level data, prescription data & sales data, promotional data - Communicate results to clients and onshore team members - Develop client relationships and serve as an offshore key point of contact for the project - Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress - Analyzing the AI/ML algorithms that could be used to solve a given problem and ranking them by their success probability - Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world - Verifying data quality, and/or ensuring it via data cleaning - Supervising the data acquisition process if more data is needed - Defining validation strategies - Defining the preprocessing or feature engineering to be done on a given dataset - Defining data augmentation pipelines - Training models and tuning their hyperparameters - Analyzing the errors of the model and designing strategies to overcome them - Knowledge on Deep learning techniques is an added advantage - Deploying models to production - Interpreting and analyzing both qualitative and quantitative data points; hypothesis building with Strong excel and PPT skills - Process automation using SQL/Python/Other available technologies/ETL Tools etc Qualifications: - Bachelors or Masters in Engineering - 1-8 years of pharma / life science consulting job experience - High motivation, good work ethic, maturity, and personal initiative - Strong oral and written communication skills - Strong excel and PowerPoint skills - Adherence to client specific data privacy and compliance policies - Knowledge on various commonly used transactional data assets and others including Volumes/ Value, Rx, Specialty level, Longitudinal Patient level data assets.,

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and pipelines. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Develop and maintain robust application pipelines that ensure high-quality production standards. - Research and implement the latest advancements in AI and machine learning technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms and services for deploying AI solutions. - Familiarity with data preprocessing and feature engineering techniques. - Ability to work with various AI models, including generative models and neural networks. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning. - This position is based at our Bengaluru office. - A 15 years full time education is required. Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and pipelines. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Develop and maintain robust application pipelines that ensure high-quality production standards. - Research and implement the latest advancements in AI and machine learning technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms and services for deploying AI solutions. - Familiarity with data preprocessing and feature engineering techniques. - Ability to work with various AI models, including generative models and neural networks. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning. - This position is based at our Bengaluru office. - A 15 years full time education is required. Show more Show less

As a Data Analyst in the Arium group, part of the Verisk Extreme Event Solutions division, you will play a crucial role in supporting the development of the insurance industry's leading liability catastrophe modeling solution for the global insurance and reinsurance market. The Arium models are designed to quantify systemic and emerging liability risks that can result in significant aggregations and clash risks across portfolios, encompassing diverse areas from climate change to recessions to chemical exposures. Your responsibilities will span major commercial liability lines, including commercial general liability and professional/management liability lines. This position is a part of the Arium research and analytics team and will be based in Hyderabad. In your day-to-day responsibilities, you will be expected to take ownership of all Arium View of Risk data and data preparation processes. This includes overseeing the update process for historical event parameterization, collaborating with the research team to make necessary data adjustments, and providing support for data preparation and pre-processing for specific modeling projects and initiatives. Additionally, you will work towards streamlining data update and cleaning processes, optimizing legacy code, and supporting ad-hoc data analysis and queries from various Arium teams. To qualify for this role, you should hold a Bachelor's Degree or equivalent in statistics, computer science, information technology, business analytics, or related majors. A minimum of 2-3 years of experience is preferred. Proficiency in Excel, Python or R, SQL, and database management is required. Experience in data preprocessing and cleaning, as well as working with JSON data formats, is essential. Dashboarding experience would be a plus. You should have demonstrated the ability to write clean, maintainable, and well-documented code. Any prior insurance experience will be advantageous. Strong interpersonal, oral, and written communication skills, including presentation skills, are important for this role. At Verisk, you will have the opportunity to be part of a dynamic and innovative team that empowers communities and businesses to make better decisions on risk, faster. With a focus on inclusivity, diversity, and workplace culture, Verisk provides a supportive environment where you can build a rewarding career tailored to your unique strengths. Join us in our pursuit of innovation and help translate big data into big ideas, creating a better tomorrow for future generations. Verisk, with over 50 years of experience, is a leading data analytics and technology partner to the global insurance industry, delivering value through expertise and scale. Recognized as a Great Place to Work for workplace culture, Verisk values learning, caring, and results, making inclusivity and diversity top priorities. The company's businesses span across various sectors including Underwriting Solutions, Claims Solutions, Property Estimating Solutions, Extreme Event Solutions, Specialty Business Solutions, Marketing Solutions, and Life Insurance Solutions, providing innovative solutions for the insurance and reinsurance industry. Verisk Analytics is an equal opportunity employer committed to providing a supportive and inclusive work environment. For more information about careers at Verisk, visit https://www.verisk.com/company/careers/ Verisk Employee Privacy Notice,

Are you ready to contribute to Mondelz International's mission to lead the future of snacking with pride As a Data Scientist on the team, you will play a key role in analyzing large amounts of data to identify patterns, trends, and insights that will help the business adapt to changing conditions. Your responsibilities will include defining analysis requirements, performing detailed analysis, conducting root-cause analysis, and working with various data science tools and techniques. In this role, you will collaborate with cross-functional teams to develop cutting-edge Commercial Reporting solutions with Analytical AI and GenAI capabilities. You will leverage AI algorithms to gather insights, identify anomalies, and build GenAI capabilities that will enhance the company's reporting processes. Your proficiency in designing and deploying Analytical AI solutions and familiarity with GenAI concepts will be crucial in translating complex data scenarios into actionable business strategies. Your job requirements will involve designing and implementing AI models, leveraging GenAI capabilities, collaborating with multiple teams for smooth implementation, updating AI solutions with new data sources, and maintaining documentation of AI models and GenAI solutions. You will also be responsible for reporting on tool achievements, challenges, and enhancements to senior management and stakeholders. To excel in this role, you should have a Bachelor's degree in Information Systems/Technology, Computer Science, Analytics, or a related field, strong analytical and critical thinking skills, proficiency in Python and SQL for handling large datasets, experience with data visualization tools like Tableau and PowerBI, and familiarity with cloud platforms for deploying AI solutions. Additionally, knowledge of NLP techniques, recent advancements in GenAI, ethical implications of AI, and understanding of the consumer goods industry will be beneficial. If you have a minimum of 6+ years of relevant experience and possess the skills and experiences mentioned above, you are encouraged to apply for this exciting opportunity at Mondelz International. Join us in empowering people to snack right with delicious, high-quality snacks made sustainably and enjoyed globally.,

We are seeking a highly motivated AI Engineer with a solid background in artificial intelligence and practical experience in developing AI-driven products. As an AI Engineer, you will play a key role in the design, development, and deployment of AI models and solutions that enhance our range of products and services. This position is particularly well-suited for recent graduates who have gained hands-on experience through internships, academic projects, or previous roles in the AI field. Your responsibilities will include designing, optimizing, and implementing machine learning (ML) and deep learning (DL) models to enhance AI-powered applications. You will collaborate closely with data scientists and software engineers to gather, preprocess, and analyze large datasets for AI training and inference. Additionally, you will be involved in fine-tuning AI algorithms for various tasks such as natural language processing (NLP), computer vision, recommendation systems, and predictive analytics. Ensuring the scalability, efficiency, and reliability of AI models in production environments will be a critical aspect of your role. You will work collaboratively with cross-functional teams to seamlessly integrate AI solutions into our products and business processes. Staying abreast of the latest advancements in AI, ML, and deep learning will be essential, and you will be expected to write clean, efficient, and well-documented code using Python, LangChain, or other AI frameworks. Your involvement in model evaluation and consultation with other teams to assist the CEO of the unit will be pivotal in driving the success of our AI initiatives. Requirements: - Bachelor's or Master's degree in Artificial Intelligence, Data Science, or equivalent experience of at least 5 years. - Proficiency in Python and familiarity with SQL and JavaScript. - Experience with Agentic AI. - Knowledge of cloud platforms such as AWS, Azure, Google Cloud, and MLOps tools. - Understanding of data structures, algorithms, and software engineering principles, including prototyping. - Hands-on experience with data preprocessing, feature engineering, and model evaluation techniques. - Strong problem-solving skills and the ability to thrive in a fast-paced, collaborative environment. - Excellent communication skills to effectively convey technical concepts to non-technical stakeholders. - Familiarity with LLMs and tools like openAI, Deepseek for AI applications. - Experience in building presentations and consulting. Preferred Qualifications: - Practical experience with real-world AI applications, whether through internships, research, or personal projects. - Familiarity with version control systems (Git), CI/CD pipelines, and containerization (Docker, Kubernetes). What We Offer: - Competitive Salary and Bonus to acknowledge your expertise and contributions. - Hybrid work environment allowing for a mix of remote work and in-office collaboration. - Inclusive Onboarding Experience tailored to set you up for success from day one. - Marcura Wellness Zone to support your work-life balance and overall well-being. - Global Opportunities within our ambitious and expanding company. - Monthly Performance Support through our modern performance management framework. - Diverse, Supportive Work Culture committed to inclusion, diversity, and belonging for all team members. If you are passionate about AI and excited to apply your skills to real-world maritime challenges, we encourage you to apply and join our innovative AI team. Your expertise and dedication will play a crucial role in shaping the future of our AI-driven products and services.,

As an intern at Primetrade.ai, you will be responsible for developing Python programs for web scraping, data collection, and preprocessing from various web sources. Additionally, you will assist in designing and implementing trading algorithms using APIs like Binance, as well as conduct data analysis to identify trading patterns and trends from blockchain platforms. You will have the opportunity to collaborate on creating algorithms for trading, integrating machine learning and statistical models. Moreover, you will be tasked with automating data collection, processing, and trading operations, as well as extracting and analyzing blockchain data to monitor trader behavior and performance. Furthermore, you will play a key role in generating insightful reports and visualizations on performance metrics. Primetrade.ai is a niche AI and blockchain venture studio that supports multiple product startups in the cutting-edge fields of AI and blockchain.,

AI/ML Models:Python-based models (e. g. :Scikit-Learn, TensorFlow) Responsibilities Design, develop, and implement machine learning models using Python. Perform data preprocessing, cleaning, and feature engineering. Train and evaluate machine learning models. Integrate models into production systems. Collaborate with cross-functional teams to meet project goals. Continuously improve model performance and scalability. Document model development processes and findings. Qualifications Bachelors degree in Computer Science, Engineering, or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn. Proven experience with Python programming language. Strong understanding of statistical and mathematical principles. Experience with data handling libraries such as Pandas and NumPy. Excellent problem-solving skills. Strong communication and teamwork abilities.

You are a talented AI Developer with hands-on experience in AI development, and you will be joining our team in Chennai. You have a strong background in Python programming and a passion for leveraging AI technologies to build complex products. You hold a Bachelors degree in Computer Science, Engineering, Business, or a related field (Masters degree preferred) and have a minimum of 2 years of experience in AI development, focusing on NLP and LLM technologies. Your solid understanding of machine learning algorithms, deep learning techniques, and neural network architectures will be beneficial for this role. Proficiency in Python and related libraries/frameworks for AI development (e.g., TensorFlow, PyTorch, scikit-learn) is a key requirement. You have experience with data preprocessing, feature engineering, and model evaluation techniques, showcasing strong problem-solving and analytical skills with a keen attention to detail. Your excellent communication and collaboration abilities enable you to work effectively in a team environment. Your key responsibilities will include developing and implementing AI models and algorithms using Python and relevant libraries/frameworks, collaborating with data scientists, software engineers, and domain experts to design and deploy AI solutions, preprocessing, cleaning, and analyzing large datasets to extract insights, and training machine learning models. You will optimize AI algorithms for performance, scalability, and accuracy, considering computational resources and constraints. Staying updated on the latest advancements in AI research and technologies and applying them to enhance existing solutions will be part of your role. You will also participate in code reviews, documentation, and knowledge-sharing activities to ensure high-quality code and best practices. Working closely with stakeholders to understand requirements, define project scope, and deliver solutions on time and within budget is essential. Additionally, you will provide technical guidance and mentorship to team members, fostering a culture of continuous learning and growth.,

You are a highly skilled and experienced Artificial Intelligence Engineer / Machine Learning Engineer who will be joining our dynamic team based in Ahmedabad. You will play a key role in the development and refinement of our Large Language Model (LLM) by utilizing your expertise in OpenAI and model training. Your responsibilities will include contributing to the development and enhancement of the LLM, leading data collection and preprocessing efforts, as well as identifying and gathering diverse datasets for training and refining the model. You will also work on utilizing cloud services for data processing, storage, and security, collaborate with the AI team on implementing new features and algorithms, and assist in evaluating and improving model performance and accuracy. To excel in this role, you should be proficient in Python, have experience with machine learning frameworks like TensorFlow or PyTorch, and possess expertise in working with large datasets and data preprocessing techniques. Familiarity with language models and generative AI would be a strong advantage. Additionally, you should be self-motivated, capable of working in a fast-paced environment, have excellent problem-solving skills, and be able to effectively communicate and collaborate with team members. In return, we offer a competitive salary and benefits package, the opportunity to work on cutting-edge AI and machine learning projects, a collaborative and innovative work environment, and opportunities for professional growth and development. Join us and be part of a team that is shaping the future of AI and machine learning.,

As a Machine Learning Engineer at Ergobite, you will be responsible for developing and deploying machine learning models using TensorFlow and/or PyTorch to create efficient and scalable solutions. Your role will involve implementing machine learning models and preprocessing tasks with Scikit-learn to optimize performance across various applications. You will have the opportunity to apply supervised and unsupervised learning algorithms like SVM and Decision Trees and design deep learning architectures such as CNNs and RNNs to address complex challenges effectively. In this role, you will conduct research and experiments with reinforcement learning techniques to enhance our capabilities. Additionally, you will contribute to the design and development of AI systems by leveraging large language models (LLMs) and advanced AI techniques. To qualify for this position, you should hold a Bachelor's or Master's degree in Engineering, Computer Science, or a related field. You must have a minimum of 3 years of Python programming experience and hands-on expertise with TensorFlow or PyTorch. Proficiency in Scikit-learn and deep learning methodologies is essential, along with experience in tools like Keras, Pandas, Numpy, and Large Language Models (LLMs) such as GPT for natural language processing and generation. Knowledge of data preprocessing techniques, feature engineering, and model evaluation metrics will be crucial for success in this role. Familiarity with version control systems, particularly Git, will also be advantageous. Preferred skills for this position include exposure to cloud-based AI development platforms like Google Cloud AI, AWS AI, or Azure AI. Knowledge of optimization techniques to enhance AI model performance and understanding of deep learning architectures like CNNs, RNNs, and transformers would be beneficial. Join us at Ergobite to be part of a dynamic team where you can apply your expertise in machine learning to drive innovation and solve real-world challenges.,

As a Senior Developer for GenAI Applications, your primary focus will be on coding, developing, and implementing GenAI applications using fine-tuned Large Language Models (LLMs) and Small Language Models (SLMs). In this role, you will utilize your hands-on expertise in open-source frameworks, libraries, and cloud tools to prototype and demonstrate innovative GenAI solutions under the guidance of senior team members. Your contributions will be essential in delivering high-quality, scalable, and cutting-edge applications. Responsibilities: - Write clean, efficient, and maintainable code for GenAI applications using Python and various open-source frameworks such as autogen and crew.ai. - Fine-tune LLMs and SLMs using techniques like PEFT, LoRA, and QLoRA to cater to specific use cases. - Collaborate with frameworks like Hugging Face, LangChain, LlamaIndex, and others to develop GenAI solutions. - Deploy and manage GenAI models and applications on cloud platforms such as Azure, GCP, and AWS. - Quickly prototype and demonstrate GenAI applications to showcase capabilities and gather feedback. - Build and maintain data preprocessing pipelines for training and fine-tuning models. - Integrate REST, SOAP, and other APIs for data ingestion, processing, and output delivery. - Evaluate model performance using metrics and benchmarks, and continuously iterate to enhance results. - Develop solutions for Optical Character Recognition (OCR) and document intelligence using open-source and cloud-based tools. - Collaborate with front-end developers to integrate GenAI capabilities into user-friendly interfaces using tools like Streamlit or React. - Utilize Git and other version control systems to manage code and collaborate effectively with team members. - Create clear and concise technical documentation for code, models, and processes. - Work closely with data scientists, engineers, and product managers to deliver impactful solutions. - Stay updated with the latest advancements in GenAI, open-source tools, and cloud technologies for continuous learning and growth. - Identify and resolve bugs, optimize code, and enhance application performance through debugging and optimization techniques. Required Skills: - Strong proficiency in Python programming, specifically in CORE Python OOP for developing GenAI applications. - Hands-on experience with fine-tuning techniques such as PEFT, LoRA, and QLoRA. - Expertise in working with open-source frameworks like Hugging Face, LangChain, LlamaIndex, and other libraries. - Familiarity with cloud platforms like Azure, GCP, and AWS for deploying and managing GenAI models. - Skills in building and maintaining data preprocessing pipelines. - Experience in API integration using protocols like REST, SOAP, and others. - Knowledge of metrics and benchmarks for evaluating model performance. - Proficiency in OCR and document intelligence using open-source and cloud tools. - Basic knowledge of front-end tools like Streamlit, React, or JavaScript for UI integration. - Proficiency in Git and version control best practices. - Ability to create clear and concise technical documentation. - Strong analytical and problem-solving skills for debugging and optimizing code. - Excellent teamwork and communication skills for effective collaboration in cross-functional teams. - Ability to quickly prototype and demonstrate GenAI applications with a growth mindset for continuous learning and staying updated with the latest GenAI trends and technologies.,

We are seeking a highly skilled Machine Learning Engineer or AI Model Developer with a minimum of 5 years of practical experience in constructing, training, and implementing customized AI models. The perfect candidate will possess hands-on expertise in developing and refining machine learning models rather than merely incorporating pre-existing models through APIs. You should exhibit natural abilities such as being smart, self-motivated, responsible, and an out-of-the-box thinker. Additionally, you should be detail-oriented, a powerful analyzer, and possess excellent written communication skills. Requirements: - Minimum of 5 years of practical experience in creating custom machine learning models, not just utilizing APIs or pre-built models. - Proficiency in machine learning frameworks like TensorFlow, PyTorch, Keras, or similar. - Strong programming skills in Python, including experience with libraries such as NumPy, pandas, scikit-learn, and others. - Experience in training and fine-tuning machine learning models using authentic datasets. - Knowledge of machine learning algorithms, model evaluation, and feature engineering. - Hands-on experience in data preprocessing, model optimization, and hyperparameter tuning. - Experience with cloud-based machine learning tools (AWS, GCP, or Azure) is advantageous. Responsibilities: - Design, create, and deploy customized machine learning models tailored to specific business challenges. - Train, optimize, and validate machine learning models using real-world data sets and advanced methodologies. - Collaborate with interdisciplinary teams to comprehend requirements and provide AI-driven solutions. - Establish and manage end-to-end machine learning pipelines from data preprocessing to model deployment. - Continuously enhance the performance, scalability, and reliability of AI models in production settings. - Conduct model evaluations and determine the most efficient models for practical applications. - Ensure thorough documentation of model development processes and outcomes. - Stay updated on industry trends, algorithms, and emerging technologies in the realm of machine learning and AI.,