2726 Data Science Jobs - Page 24

About Us TheMathCompany or MathCo is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS, MathCo s proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO. For our employees, we foster an open, transparent, and collaborative culture with no barriers, making MathCo a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to Leave a Mark . Job Responsibilities Serve as the SME in technical sales conversations, demonstrating business and technical acumen. Co-create proposals with sales, delivery, and customer success teams to drive client conversions. Design client-specific solutions that align with strategic goals and deliver tangible impact. Translate ambiguous business needs into scalable AI/ML solutions and PoVs. Create assets such as proposals, RFPs, case studies, or dashboards (Figma/PowerBI) to showcase capabilities. Continuously explore new-age data sources, industry trends, and analytics innovations. Lead conversations with C-suite executives, business heads, and technical stakeholders. Collaborate with Customer Success to incorporate client insights into future solution design. Present solutions clearly and persuasively to influence strategic decision-making. Champion analytics adoption and AI-driven transformation across industries. Required Skills (Must have) 3-6 years of experience delivering analytics-led solutions with a strong problem-solving mindset. Expertise in ML algorithms (classification, regression, neural nets, Bayesian models) and core Data Science concepts. Proven ability to build and present compelling solution narratives using decks (PowerPoint), models, or written artifacts. Strong planning, multitasking, and communication skills with fluency in spoken English. Hands-on experience designing scalable AI/ML solutions and leading cross-functional teams, including product designers. Domain expertise in at least 1 of CPG, Retail, Pharma, or Technology domain. Ability to drive outcomes in a highly autonomous, deadline-driven environment Preferred Educational Qualifications An undergraduate degree in engineering, statistics, mathematics, computer science, or another technical field. For those with an undergraduate degree in non-technical fields, relevant prior work experience and technical aptitude will be important.

Job description: Data Scientist Specialist (NLP, LLM, and GenAI) Roles and responsibilities: • Collaborate with Product, Data, and Technology teams to design and create a suite of new microservices powered by AI • Work alongside a team of data scientists in applying state-of-the-art LLMs from OpenAI, Anthropic, Meta, and Mistral • Create NLP pipelines for Named Entity Recognition and Entity Resolution • Assess the quality and robustness of your solutions and iterate to optimize performance • Apply best practices of MLOps / LLMOps in deploying new products and services to production We expect you to have: • 7+ years processing structured and unstructured data using NLP • 1+ years applying LLMs and RAG to solve real-world, industry problems • Solid understanding of NLP and related concepts such as vectorization, entity resolution, string similarity, and semantic search • Python experience is required, AWS/ FastAPI / Gradio / Docker and LLM fine-tuning is a plus • Cloud and systems experience in AWS S3/EC2, Databricks, and linux • Solid understanding of Git or other version control software • Passionate about Generative AI, consistently tracking the latest industry developments • Strong organizational and communication skills, both verbal and written • Ambitious and enthusiastic about working in a fast-paced, startup style environment • Bachelor's degree in computer science, Computer Engineering, or related discipline. Masters preferred. It would be phenomenal if you: • Have previous experience crafting financial data products. • Have strong aptitude and/or interest in financial markets

Product Knowledge, E-Commerce , taxonomy, ontology and catalog data to enhance search, recommendations, and AI-powered experiences. High-agency, AI/ML and product analytics. Writing SQL queries, automating workflows in Python and LLMs.

Job Description Summary The Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is GE Aerospaces multidisciplinary research and engineering center. Pushing the boundaries of innovation every day, engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview: As a Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. In this role, you will: Develop analytics within well-defined projects to address customer needs and opportunities. Work alongside software developers and software engineers to translate algorithms into commercially viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Share and discuss findings with team members. Required Qualifications: Bachelor's Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math) with basic experience. Desired Characteristics: - Expertise in one or more programming languages and analytic software tools (e.g., Python, R, SAS, SPSS). Strong understanding of machine learning algorithms, statistical methods, and data processing techniques. - Exceptional ability to analyze large, complex data sets and derive actionable insights. Proficiency in applying descriptive, predictive, and prescriptive analytics to solve real-world problems. - Demonstrated skill in data cleansing, data quality assessment, and data transformation. Experience working with big data technologies and tools (e.g., Hadoop, Spark, SQL). - Excellent communication skills, both written and verbal. Ability to convey complex technical concepts to non-technical stakeholders and collaborate effectively with cross-functional teams - Demonstrated commitment to continuous learning and staying up-to-date with the latest advancements in data science, machine learning, and related fields. Active participation in the data science community through conferences, publications, or contributions to open-source projects. - Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements. Flexibility to work on diverse projects across various domains. Preferred Qualifications: - Awareness of feature extraction and real-time analytics methods. - Understanding of analytic prototyping, scaling, and solutions integration. - Ability to work with large, complex data sets and derive meaningful insights. - Familiarity with machine learning techniques and their application in solving real-world problems. - Strong problem-solving skills and the ability to work independently and collaboratively in a team environment. - Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Domain Knowledge: Demonstrated awareness of industry and technology trends in data science Demonstrated awareness of customer and stakeholder management and business metrics Leadership: Demonstrated awareness of how to function in a team setting Demonstrated awareness of critical thinking and problem solving methods Demonstrated awareness of presentation skills Personal Attributes: Demonstrated awareness of how to leverage curiosity and creativity to drive business impact Humble: respectful, receptive, agile, eager to learn Transparent: shares critical information, speaks with candor, contributes constructively Focused: quick learner, strategically prioritizes work, committed Leadership ability: strong communicator, decision-maker, collaborative Problem solver: analytical-minded, challenges existing processes, critical thinker Whether we are manufacturing components for our engines, driving innovation in fuel and noise reduction, or unlocking new opportunities to grow and deliver more productivity, our GE Aerospace teams are dedicated and making a global impact. Join us and help move the aerospace industry forward . Additional Information Relocation Assistance Provided: No

Job Description Summary The Data Science Specialist will develop and implement Artificial Intelligence based solutions across various disciplines in GE Aerospace under the guidance of senior team members. In this role, the candidate will contribute to the development and deployment of modern machine learning, artificial intelligence, statistical methods, operations research, semantic analysis etc. for finding structure in large data sets. Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview The Data Scientist will be responsible to work on data science projects under the supervision of senior team members and deliver business outcomes. Key responsibilities include Development of data science models. Work alongside software developers and software engineers to translate algorithms into viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analysis using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics. Generate reports, annotated code, and other projects artifacts to document, archive, and communicate the work and outcomes. Share and discuss findings with team members. The Ideal Candidate The ideal candidate should have experience in Gen AI/LLM, python. Required Qualifications: Bachelor's Degree in Statistics, Machine Learning, Computer Science or related field Proficiency in Python (mandatory). Demonstrated skill at data cleansing, data quality assessment, and using analytics for solving business problems Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on datasets Demonstrated skill at data visualization and storytelling for an audience of stakeholders Strong communication and interpersonal skills Preferred Qualifications: Influences within peer group. Implements specific component(s) of the roadmap. Evaluates features using well known or prescribed recipes and appropriately down selects to valuable ones. Aware of models such as CART SVM RF Neural Net and the associated sub-models Knowledge on Gen AI/LLM Uses Cross Validation and other Verification & Validation techniques to build robust models from large data sets. Understands the types of issues that impact data quality Performs basic data cleaning operations such as flagging missing and invalid data etc. Fits normal parameters to data and assess goodness of fit Can use and interpret t-tests, ANOVA and basic hypothesis testing with good utilization of p-values. Codes using modular practices for reusage and object-oriented Effectively shows visualization of data exploration using box, bubble and matrix plots. Has a basic understanding of GE Aerospace business and how the tools they are developing create value. At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. #LI-VR1 Additional Information Relocation Assistance Provided: Yes

Job Description Summary The Sr Data Scientist will contribute to ideating and developing near-term and long-term projects with significant business impact. In this role, the person will support the technology roadmap of the organization in the areas of computer vision, image analytics, and deep learning, and will be involved in creating impactful projects in these domains. Additionally, the individual will participate in reviews and provide technical support for global teams, helping to integrate advanced techniques into GE Aerospace's solutions. Job Description Company Overview Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight! Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. Partner with GE Software Engagement Managers to shape Statements of Work for Data Science opportunities and GE Software Solutions Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value Serve as a recognized technical leader in data science - anticipate, develop and apply technology to current and future business opportunities. Proficient in statistics, machine learning and deep learning technologies Identify opportunities to use data science to create customer value, execute on the same. Develop, verify and validate analytics to address customer needs and opportunities, communicate methods, findings and hypothesis with stakeholders. Influence the decisions the leadership takes with relevant inputs and suggestions. Being aware of the latest technology trends in the industry and introducing the relevant ones within the organization Identifies IP Opportunities and Supports technical roadmap development within domain , site , Organization. Lead initiatives to continuously improve data science methodologies and processes, leveraging lean principles to enhance efficiency and effectiveness in project delivery. Develop, verify, and validate analytics to address customer needs and opportunities. Work as part of a cross-functional team to translate algorithms into commercially viable products and services. Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Communicate methods, findings, and hypotheses with stakeholders. Ensure that projects comply with relevant aerospace industry regulations and standards, maintaining the highest levels of safety and quality. The Ideal Candidate Ideal candidate should have experience in Image Analytics, Computer Vision, Python and cloud platforms Required Qualifications: Bachelor's Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math) with 5+ experience in data science Demonstrated skill in the use of Python and or other analytic software tools or languages Demonstrated skill in guiding teams to solve business problems Strong communication, interpersonal and leadership skills Preferred Qualifications : Humble: respectful, receptive, agile, eager to learn Transparent: shares critical information, speaks with candor, contributes constructively Focused: quick learner, strategically prioritizes work, committed Leadership ability: strong communicator, decision-maker, collaborative Problem solver: analytical-minded, challenges existing processes, critical thinker Whether we are manufacturing components for our engines, driving innovation in fuel and noise reduction, or unlocking new opportunities to grow and deliver more productivity, our GE Aerospace teams are dedicated and making a global impact. Join us and help move the aerospace industry forward. #LI-VR1 Additional Information Relocation Assistance Provided: No

Job Description Summary The Staff Risk Analyst - Artificial Intelligence (AI) will lead and assist with the development, modification, and analysis of new and existing systems utilizing AI capabilities. In this role, you will be responsible for working with system developers and other stakeholders to ensure new capabilities are created and released in compliance with regulatory and business cyber security requirements, and industry best practices. This role will require you to partner with other technologists and leaders to help ensure project delivery per business needs and that processes are streamlined for efficiency. Job Description Company Overview Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight! Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview In this role, you will: Work with business, Digital Technology, and Cyber Security teams to architect solutions utilizing AI technology in line with cyber security best practices and compliance with regulatory and business requirements. Stay current with industry developments in AI technology and lead/participate in evaluations of new tools, packages, and capabilities. Serve as a cyber security subject matter expert for AI technology, helping solve problems and answering questions from across the business. Participate in the development and enhancement of processes and metrics related to the deployment and operation of AI solutions ensuring delivery per business needs. Participate in the development and delivery of awareness and education related to AI technology and how it should/shouldn't be used. Define and execute Cybersecurity & Technology risk management program for GE Aerospace. Maintain the strategic roadmap for cybersecurity initiatives and measure program effectiveness in the region. Lead initiatives to advance company-wide services to help GE Aerospace prevent, detect and respond to security incidents. Provide regular program updates to the Regional CISO, CIO and other stakeholders. Establish and maintain relationships with stakeholders including regional CIOs, and global IT security and compliance leaders. Work with legal counsel, HR, physical security and product engineering on IT security solutions. Aid in the development and enforcement of GE Aerospace policies & standards and assist technology teams with building security solutions. Define technology security requirements and communicate to system owners through effective security programs and training. Work with business IT teams to encourage a security mindset throughout business SDLC processes from concept, implementation and operations. Maintain documentation of the IT Risk program and any exceptions for regulatory compliance. Qualifications/ Requirements For roles outside USA: Bachelor's Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math) with advanced experience in IT and Cyber Security. Master's degree in Business, Sciences or Information Technology 57 years of IT experience, with at least 3 years in cybersecurity and some architecture experience during that time. CISSP/CISM/CISA certification Required Qualifications Strong technical background in information technology and cyber security including a familiarity with AI Demonstrated ability to solve complex problems System architecture experience Application architecture experience in both cloud and on-prem environments including solid understanding of the Software Development Life Cycle Team focus including strong interpersonal and influence skills Ability to clearly communicate complex, technical issues orally and in writing Master's degree in Business, Sciences or Information Technology Prior experience working in a matrix environment Prior experience doing Lean or Six Sigma Process improvement work Prior experience working on developing and leading strategy definition CISSP/CISM/CISA certification Desirable Qualification Humble: respectful, receptive, agile, eager to learn Transparent: shares critical information, speaks with candor, contributes constructively Focused: quick learner, strategically prioritizes work, committed Leadership ability: strong communicator, decision-maker, collaborative Problem solver: analytical-minded, challenges existing processes, critical thinker At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. Note Note: To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used. This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager. Additional Information Relocation Assistance Provided: No

Job Description Summary The Senior NLP Data Scientist will work in teams addressing natural language processing, large language models (LLMs), and agentic AI problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of advanced NLP techniques, large language models, agentic AI systems, and semantic analysis methods for extracting and understanding structure in large text data sets. Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview: Develop and implement state-of-the-art NLP models and algorithms, with a focus on large language models (LLMs) and agentic AI. Collaborate with cross-functional teams to identify and solve complex NLP problems in various domains. Design and conduct experiments to evaluate the performance of NLP models and improve their accuracy and efficiency. Deploy NLP models into production environments, ensuring scalability and robustness. Analyze large text data sets to uncover insights and patterns using advanced statistical and machine learning techniques. Stay up-to-date with the latest research and advancements in NLP, LLMs, and agentic AI, and apply this knowledge to ongoing projects. Communicate findings and recommendations to stakeholders through clear and concise reports and presentations. Mentor and guide junior data scientists and engineers in best practices for NLP and machine learning. Develop and maintain documentation for NLP models, algorithms, and processes. Collaborate with product managers and engineers to integrate NLP solutions into products and services. Conduct code reviews and ensure adherence to coding standards and best practices. Participate in the development of data collection and annotation strategies to improve model performance. Contribute to the development of intellectual property, including patents and publications, in the field of NLP and AI The Ideal Candidate Ideal candidate should have experience in Image Analytics, Computer Vision, Python and cloud platforms Required Qualifications: Bachelor's Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math) with 5+ experience in data science Demonstrated skill in the use of Python and or other analytic software tools or languages Demonstrated skill in guiding teams to solve business problems Strong communication, interpersonal and leadership skills Preferred Qualification Proven experience in developing and deploying NLP models, particularly large language models (LLMs) and agentic AI systems. Strong programming skills in Python and familiarity with NLP libraries and frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, Langchain, Langgraph and spaCy. Experience with cloud platforms and tools for deploying machine learning models (e.g., AWS, GCP, Azure). Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Experience with transfer learning, fine-tuning, and prompt engineering for LLMs. Knowledge of agentic AI principles and their application in real-world scenarios. Familiarity with big data technologies and tools such as Hadoop, Spark, and SQL. Publications or contributions to the NLP and AI research community. At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. Additional Information Relocation Assistance Provided: Yes

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Job Description - Grade Specific Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules. Skills (competencies) Verbal Communication

Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Job Description - Grade Specific Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.

Analyze and transform data science prototypes Develop ML applications as per requirements Run machine learning tests and experiments Perform analysis and fine-tuning of models using test results Train and retrain ML models when necessary Primary Skills Experience working on Cloud platforms, preferably AWS Proven experience as Machine Learning Engineer Experience in AWS Sagemaker Understanding of data structures, data modeling and software architecture Ability to write robust code in Python Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where you ll be able to reimagine what s possible. Join us and help the world s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Design, develop, and implement conversational AI solutions using the Kore.ai platform, including chatbots, virtual assistants, and automated workflows tailored to business requirements. Customize, configure, and optimize the Kore.ai platform to address specific business needs, focusing on user interface (UI) design, dialogue flows, and task automation. Collaborate with cross-functional teams to understand business objectives and translate them into scalable AI solutions. Continuously monitor and enhance bot performance by staying updated on the latest Kore.ai features, AI advancements, and machine learning trends. Primary Skills 7+ years of experience in software development, with at least 4+ years of hands-on experience working with the Kore.ai platform. Proven expertise in developing chatbots and virtual assistants using Kore.ai tools. Proficiency in programming languages such as JavaScript or other scripting languages. Experience with API integrations, including RESTful APIs and third-party services. Strong understanding of dialogue flow design, intent recognition, and context management. Secondary Skills Kore.ai platform certification is a strong advantage. Knowledge of automation tools and RPA technologies is beneficial.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Generative AI System Design: Architect and implement advanced generative AI models, focusing on applications such as image and text generation, content creation, and synthetic data generation. Model Development and Optimization: Develop, fine-tune, and optimize generative AI models, ensuring they meet performance, scalability, and business objectives. AI/ML Integration: Apply solid data science principles to enhance AI/ML models, using statistical analysis and machine learning techniques to improve model accuracy and efficiency. Cross-functional Collaboration: Work closely with data engineers, software developers, and product managers to integrate generative AI models into products and services, aligning with business objectives. Innovation Leadership: Stay at the forefront of AI/ML and generative AI advancements, driving the adoption of new technologies and best practices within the team. Ethical AI Implementation: Ensure that AI models are designed and deployed with ethical considerations, adhering to industry standards and regulatory requirements Your Profile Education & Experience: bachelors or masters degree in computer science, AI, Machine Learning, Data Science, or a related field, with 5+ years of experience in AI/ML, particularly with generative AI models. Technical Skills: Strong expertise in developing and deploying generative AI models. Proficiency in Python and experience with AI development libraries such as TensorFlow and PyTorch. Experience with Azure OpenAI, Open Source LLMs, and LangChain. Data Science Expertise: Solid experience in applying data science principles, including statistical analysis, data preprocessing, and machine learning, to enhance AI/ML models. Techniques/Approaches: Familiarity with advanced techniques such as Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning. Domain Knowledge: Familiarity with NLP or computer vision related to generative AI applications. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

Role & responsibilities Deliver lectures, tutorials, and lab sessions as per the curriculum. Design course materials, assessments, and learning outcomes. Guide student projects, internships, and research work. Participate in curriculum development and academic planning. Engage in scholarly research and publish in peer-reviewed journals. Attend departmental meetings and contribute to administrative responsibilities. Support institute-level activities including student development, events, and outreach. Maintain a professional, inclusive, and student-centered teaching environment. Preferred candidate profile ME/M.Tech/PhD

Role & responsibilities Lead End-to-End ML Projects: Own the full lifecycle of ML solutions from problem scoping, data exploration, model development, deployment, and post-deployment monitoring. Own the Gen AI Strategy: Define and drive the technical vision and execution strategy for Gen AI use cases across the organization. Architect Scalable Solutions: Design robust ML systems and pipelines that integrate seamlessly into production environments. Team Leadership: Mentor and guide a team of ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous learning. Modeling & Research: Stay up to date with the latest advancements in ML/AI and guide experimentation with novel algorithms (e.g., deep learning, NLP, GenAI, reinforcement learning). Build RAG & Prompt Engineering Pipelines: Design scalable architectures for RAG, vector search, prompt tuning, and prompt chaining with tools like LangChain, LlamaIndex, and FAISS. Stakeholder Collaboration: Work closely with product managers, engineers, and domain experts to translate business problems into technical solutions. Operationalize ML: Partner with MLOps/DevOps teams to deploy, monitor, and maintain ML models in production, ensuring reliability and scalability. Preferred candidate profile Bachelors or Master’s degree in Computer Science, Machine Learning, Data Science, or related field (PhD is a plus). 8+ years of hands-on experience in machine learning, with at least 1–2 years in a leadership or mentorship role. Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, HuggingFace Transformers, etc. Strong understanding of statistics, optimization, and model evaluation techniques. Experience with cloud platforms (AWS, GCP, or Azure) and tools like Docker, Kubernetes, MLflow, or Kubeflow. Proficiency in Python and Gen AI frameworks such as LangChain, Crew AI, or similar. Proven track record of deploying ML models into production at scale. Excellent communication and leadership skills.

About Info Edge Info Edge mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behaviour and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers. At Info Edge, people are our core competitive advantage, and we will continue doing all that is needed to attract and retain the best available talent. About BU: Naukri.com Naukri is India's market leader in the recruitment business. It provides all the job seekers with advisory services and caters to their different needs and offer value-added features such as resume writing, highlighting and many more. With over 67 Million resumes searches daily, Naukri.com has 5 Million job listings, 59 Thousand+ unique clients and 4.9 Million recruiters connect with the job seekers via emails. Naukri eHire is like an extension to our Recruitment team and whenever there is a spurt in our requirements, instead of giving it to consultants at a high cost we use e-hire services to get shortlisted and validated CVs. Job Description: - Managing the entire Talent Acquisition cycle right from understanding the manpower requirement, sourcing candidates, interviewing candidates, Negotiating offers and closing the position Expertise in recruiting all the entry-level, middle-level and senior-level positions for Tech and Non-Tech requirements. Working closely with Business Managers to ensure an in-depth understand of the hiring mandate and create impactful job descriptions. Depending on the desired candidate profile, effectively source candidates from varied sources, such as job portals, campus hiring, walk-ins, head hunting, internal referrals etc. Achieving the monthly/ quarterly and annual hiring targets to achieve the manpower projections. Adhering to internal HR processes such as ensuring proper documentation, monthly hiring MIS generation, preparing offer letters, within the specific TAT. Maintaining, documented and presented progress reports to leaders. Desired Candidate Profile Excellent communication skills, Innovative, goal-driven, Aggressive. Should have client management experience. Fast learner capable of handling pressure. Good recruitment skills. Graduate or Postgraduate both are eligible. Required Skills: Excellent verbal and written communication Well versed with the Naukri portal for recruitment activities In depth knowledge of HR principles, functions and practices Experience of hiring for middle level to senior level positions ONLY CONSULTING EXP REQUIRED WhatsApp for more info 9313787329

We are seeking a Senior Manager - Pricing Analytics for the pricing team in Thomson Reuters. Central Pricing Team works with Pricing Managers, Business Units, Product Marketing Managers, Finance and Sales in price execution of new product launches, maintenance of existing ones, and creation & maintenance of data products for reporting & analytics. The team is responsible for providing product and pricing information globally to all internal stakeholders and collaborating with upstream and downstream teams to ensure offer pricing readiness. Apart from BAU, the team works on various automation, pricing transformation projects & pricing analytics initiatives. About the Role In this role as a Senior Manager - Pricing Analytics , you will: Lead and mentor a team of pricing analysts, data engineers, and BI developers Drive operational excellence by fostering a culture of data quality, accountability, and continuous improvement. Manage team capacity, project prioritization, and cross-functional coordination with Segment Pricing, Finance, Sales, and Analytics teams Partner closely with the Pricing team to translate business objectives into actionable analytics deliverables. Drive insights on pricing performance, discounting trends, segmentation, and monetization opportunities. Oversee design and execution of robust ETL pipelines to consolidate data from multiple sources (e.g., Salesforce, EMS, UNISON, SAP, Pendo, Product usage platforms etc). Ensure delivery of intuitive, self-service dashboards and reports that track key pricing KPIs, sales performance, and customer behaviour. Strategize, deploy and promote scalable analytics architecture and best practices in data governance, modelling, and visualization. Act as a trusted advisor to Pricing leadership by delivering timely, relevant, and accurate data insights. Collaborate with analytics, finance, segment pricing and data platform teams to align on data availability, definitions, and architecture. Shift Timings: 2 PM to 11 PM (IST) Work from office for 2 days in a week (Mandatory) About You Youre a fit for the role of Senior Marketing Analyst, if your background includes: 10+ years of experience in analytics, data science, or business intelligence, with 3+ years in a people leadership or managerial role. Proficiency in SQL, ETL tools (e.g. Alteryx, dbt, airflow), and BI platforms (e.g., Tableau, Power BI, Looker) Knowledge of Python, R, or other statistical tools is a plus Experience with data from Salesforce, SAP, other CRM, ERP or CPQ tools Ability to translate complex data into actionable insights and communicate effectively with senior stakeholders. Strong understanding of data analytics, monetization metrics, and SaaS pricing practices Proven experience working in a B2B SaaS or software product company preferred MBA, Masters in Analytics, Engineering, or a quantitative field preferred

Please use the below link to appy: https://crowe.wd12.myworkdayjobs.com/External_Careers/job/Noida-Uttar-Pradesh-India/Hyperautomation-Developer_R-47681 "Do not apply directly on Naukri" Your Journey at Crowe Starts Here: At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you’re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That’s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry. Job Description: This role is part of the Gen AI delivery team focused on utilizing Hyperautomation processes and technologies to create Gen AI automation solutions. Associates will help accelerate the speed and accuracy with which solutions are delivered by incorporating recent learnings in the Gen AI space. The team collaborates closely with Subject Matter Experts, Business Analysts, Data Scientists, Operations leads, and vendor developers. The successful candidate will have 2+ years of hands-on experience building and deploying Microsoft Power Platform solutions, with a strong grounding in AI concepts, Copilot Studio, Azure AI Foundry, and desktop automation. Responsibilities: Full-Stack Solution Development Assist in the development and testing of end-to-end solutions using Microsoft Power Platform tools (Power Automate, Power Automate Desktop, Power Apps, Power BI), Copilot Studio, Azure AI Foundry, Python, JavaScript, and related frameworks. Automation Design & Deployment Support the design, configuration, testing, deployment, and integration of new or enhanced automation solutions, ensuring reliability and scalability. Quality Assurance & Testing Participate in integration, end-to-end (business process), and user acceptance testing to validate that solutions meet business requirements. Risk Identification Help identify and report roadblocks or risks to senior team members, escalating as needed to keep projects on track. Stakeholder Collaboration Attend and contribute to interviews, meetings, and workshops aimed at understanding requirements, mapping processes, and developing automation solutions. Documentation & Training Assist in creating technical documentation, runbooks, and test scripts; support knowledge-transfer sessions and training for end users and support teams. Continuous Improvement Stay informed of emerging Gen AI and Hyperautomation trends; propose and pilot improvements to existing processes and tools. Qualifications: Power Platform Expertise Practical experience with Microsoft Power Automate Desktop (RPA), Power Automate (cloud flows), Power Apps (canvas & model-driven), and Power BI dashboards. Copilot Studio & Azure AI Foundry Familiarity with Copilot Studio for building AI agents and foundational knowledge of Azure AI Foundry architecture, project life cycle, and deployment. Programming & Scripting Hands-on with Python and JavaScript; exposure to .NET languages (C#, VB) or VBA/macros for custom code and automation scripts. Frontend & Backend Technologies Basic knowledge of HTML, CSS, and JavaScript frameworks (React, Angular, or Vue); understanding of backend frameworks such as Node.js/Express or Python-based stacks. Data & AI Awareness 1 year of SQL/NoSQL databases, data modeling patterns, and core AI concepts (generative AI, NLP, RAG) applied within business automation preferred. DevOps & ALM Practices Familiarity with source control (Git), CI/CD pipelines, and Application Lifecycle Management using Azure DevOps or GitHub Actions. Soft Skills Strong communication, collaboration, and organizational skills; able to work independently, manage multiple priorities, and thrive in an Agile delivery environment. Requirements: Bachelor’s degree in computer science, Computer Engineering, IT, MIS, or a related Analytical field 2+ years of full-stack development experience with a solid understanding of programming concepts 2+ years of experience with MS Power Platform tools required (Microsoft Power Automate Desktop /RPA, Power Automate (cloud flows), Power Apps (canvas & model-driven), and Power BI dashboards. 2+ years of experience in Python 1+ years of experience in SQL, NoSQL and data modeling preferred Experience in Copilot Studio, Azure AI Foundry preferred Understanding of Data science concepts, HTML and CSS required Certifications in MS Power Platform tools is a plus Key Positions With Which This Position Interfaces: Business Analysts Business SMEs Data Science engineers Hyperautomation Development Lead We expect the candidate to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times. Our Benefits: At Crowe, we know that great people are what makes a great firm. We value our people and offer employees a comprehensive benefits package. Learn more about what working at Crowe can mean for you! How You Can Grow: We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper! More about Crowe: Crowe Horwath IT Services Private Ltd. is a wholly owned subsidiary of Crowe LLP (U.S.A.), a public accounting, consulting and technology firm with offices around the world. Crowe LLP is an independent member firm of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory firms in more than 130 countries around the world. Crowe does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.

SUMMARY Job Opening: Mainframe Testing About the Company Our client is a leading IT Technology & Services Management MNC, dedicated to providing state-of-the-art IT solutions to millions of internal and external customers. As part of a major insurance group based in Germany and Europe, the company is committed to digital innovation in the insurance landscape. With a global presence in 26 countries and a focus on Europe and Asia, the company offers a comprehensive range of insurances, pensions, investments, and services, leveraging cutting-edge technologies such as Cloud, Digital, Robotics Automation, IoT, Voice Recognition, and Big Data science. Role Position: Mainframe Developer Experience: 5 - 9 years Budget: 18-20 LPA Location: Hiranandani Garden, Powai Candidates willing to relocate to Mumbai only need to apply Role & Responsibilities: Adhere to security and control, and change control processes Design, develop and maintain Mainframe COBOL and IMS code to meet support and/or project requirements. Interface with business and IT teams to understand business requirements and translate business requirements into formal technical requirements and application code. Work with IT support teams (DBA, server teams) to ensure support and project requirements are developed and successfully implemented Develop and execute unit test and integration plans/scripts to validate that application changes meet technical specifications. Responsible for an important part of the full System Development Life Cycle Work with business team to complete acceptance testing and participate in integration testing Participate in production support/ duty rotation including weekend and off-hour support coverage Provide Solution Delivery Methodology artefacts associated with application components. Participate in technical reviews at appropriate stages of development Technical Stack: COBOL IMS as transaction manager DB2 with SQL JCL IT technical background & mainframe programming experience Experience in all components of software delivery with concentration in requirements, design and development. Quick starter to troubleshoot/resolve incidents and business support items Strong analytical and problem solving skills Ability to multi-task effectively Prioritize Business Impact and Urgency Perform application support tasks like: systems support, security reviews, & maintenance tasks Testing experience Ability to learn new technologies and methodologies quickly

ob Title: Python Developer Machine Learning & AI (2–3 Years Experience) Job Summary: We are seeking a skilled and motivated Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. The ideal candidate will have hands-on experience in developing, training, and deploying machine learning models, and should be proficient in Python and associated data science libraries. You will work with our data science and engineering teams to build intelligent solutions that solve real-world problems. Key Responsibilities: Develop and maintain machine learning models using Python. Work on AI-driven applications, including predictive modeling, natural language processing, and computer vision (based on project requirements). Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. Preprocess, clean, and transform data for training and evaluation. Perform model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. Write modular, efficient, and testable code. Document processes, models, and experiments clearly for team use and future reference. Stay updated with the latest trends and advancements in AI and machine learning. Required Skills: 2–3 years of hands-on experience with Python programming. Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning). Experience with libraries such as scikit-learn , pandas , NumPy , Matplotlib , and Seaborn . Exposure to deep learning frameworks like TensorFlow , Keras , or PyTorch . Good understanding of data structures and algorithms. Experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field. Experience with deploying ML models using Flask , FastAPI , or Docker . Knowledge of MLOps and model lifecycle management is an advantage. Understanding of NLP or Computer Vision is a plus.

Lead AI/ML at Rely Healthtech Company Overview Rely Health Tech is a pioneering healthcare technology company dedicated to transforming healthcare management through innovative, customized Hospital Information System (HIS) solutions. Our advanced modules, including HR, Supply Chain Management (SCM), Patient Management, CRM, RCM, and AI-driven agents, empower healthcare providers with streamlined operations and enhanced clinical decision support. By integrating cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) technologies, we deliver scalable, secure, and robust solutions that improve patient care and operational efficiency. As we expand geographically and diversify our product offerings, we are seeking a visionary leader to drive our AI/ML initiatives. Role Overview We are looking for an experienced Head of AI/ML to join our team in Gurugram for a full-time, on-site role. This leadership position will spearhead the development and execution of our AI/ML strategy, driving innovation in healthcare technology. The successful candidate will oversee software development, manage IT projects, define IT strategies and architectures, and lead product development initiatives to deliver transformative solutions. Key Responsibilities Develop and implement a comprehensive AI/ML strategy aligned with Rely Healthtechs vision and goals. Lead end-to-end AI/ML projects, from ideation to deployment, ensuring high-quality deliverables. Oversee software development teams, fostering a culture of innovation and collaboration. Define and implement IT strategies and architectures to support scalable, secure, and efficient systems. Drive product development initiatives, integrating AI/ML to enhance clinical and operational outcomes. Collaborate with cross-functional teams, including product, engineering, and clinical stakeholders, to deliver impactful solutions. Stay abreast of industry trends and emerging technologies to maintain a competitive edge. Qualifications Experience : Minimum of 10 years in software development, with 3-5 years specifically in AI/ML technologies. Technical Expertise : Strong proficiency in AI/ML frameworks, algorithms, and tools. Leadership : Proven track record in leading high-performing teams and managing complex IT projects. Strategic Vision : Expertise in defining IT strategies and architectures for scalable systems. Product Development : Hands-on experience in driving end-to-end product development cycles. Communication : Exceptional leadership and communication skills to engage with diverse stakeholders. Collaboration : Ability to work effectively with cross-functional teams in a fast-paced environment. Industry Knowledge : Exposure to the healthcare IT sector is a strong advantage. Education : Masters degree in Computer Science, Data Science, or a related field. Why Join Rely Health Tech? Be part of a rapidly growing healthcare technology company with global ambitions. Lead transformative AI/ML initiatives directly impacting patient care and operational excellence. Work in a collaborative, innovative environment with opportunities for professional growth. Contribute to cutting-edge solutions that redefine healthcare management. Location Gurugram, India (On-site) How to Apply Ready to shape the future of healthcare with AI/ML? Visit our website at www.relyhealthtech.com to learn more about our mission and solutions. To apply, please share your resume and a cover letter via LinkedIn or email us at hr@relyhealthtech.com. Join Rely Health tech and lead the charge of revolutionizing healthcare technology! Rely Health Tech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Internship Opportunity at RP2 India Private Limited RP2 India Private Limited is pleased to offer internship programs in the fields of Data Analytics, Data Science , and Prompt Engineering . Location: Bengaluru (Available in both Online and Offline modes) Duration: 3 months Certification: Internship Certificate & Experience Certificate will be provided upon successful completion. This is a great opportunity to gain hands-on experience, enhance your skills, and work on real-world projects with industry professionals. Apply now and take the next step in your career!

Role Overview: We are looking for an experienced Data Scientist to derive actionable insights from sales and marketing data. This role will focus on leveraging advanced data analytics, statistical modeling, and machine learning to uncover trends, predict outcomes, and guide strategic decisions. The ideal candidate will play a crucial role in bridging sales and marketing efforts, enabling data-driven alignment and performance optimization. Key Responsibilities: 1. Data Analysis and Insight Generation: a. Analyze large datasets from sales and marketing platforms to identify patterns, trends, and opportunities. b. Develop actionable insights to improve lead generation, conversion rates, and campaign performance. 2. Predictive Modeling: a. Build and deploy predictive models to forecast sales performance and marketing campaign outcomes. b. Use machine learning algorithms to segment customers and predict their behavior. 3. KPI Optimization: a. Analyze key performance indicators (KPIs) for sales and marketing teams to identify areas for improvement. b. Provide recommendations to optimize sales pipelines and marketing campaign ROI. 4. Data Integration and Automation: a. Integrate data from multiple sources (e.g., Salesforce, Google Analytics, Facebook Ads) into a unified analytics framework. b. Automate reporting and visualization processes using advanced tools. 5. Collaboration with Teams: a. Work closely with sales, marketing, and business analyst teams to understand data requirements and provide tailored solutions. b. Translate complex data findings into clear recommendations for leadership. 6. Advanced Visualization: a. Create interactive dashboards and visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). b. Present findings and insights to stakeholders in an easy-to-understand format. 7. Experimentation and Testing: a. Conduct A/B testing to evaluate marketing strategies and sales initiatives. b. Optimize campaigns by analyzing test results and making data-driven adjustments.

Role & responsibilities Design, develop, and optimize scalable ML pipelines using Python and modern ML engineering tools. Implement feature stores, model versioning, and model serving using tools like Feast , Kubeflow , and MLflow . Work closely with data scientists to productize machine learning models in production environments. Write and maintain Dockerfiles and Kubernetes YAML configurations to containerize and deploy models and services. Apply performance tuning and optimization techniques to improve ML pipeline efficiency. Work in Big Data environments and integrate with data platforms when required. Collaborate with cross-functional teams including data engineering, DevOps, and product teams to deliver ML solutions. Maintain documentation, ensure version control, and follow best practices for reproducibility and model governance. Preferred candidate profile 5+ years of experience in Python programming with focus on performance tuning and optimization. Proficiency in NumPy , Pandas , and data frame operations. Hands-on experience with Feast , Kubeflow , and MLflow . Solid understanding of Docker and Kubernetes ; ability to write and manage YAML configurations. Working knowledge of Big Data environments (Spark, Hadoop, etc.) is a plus. Strong analytical and problem-solving skills with meticulous attention to detail. Excellent communication and interpersonal skills; ability to thrive in a fast-paced and collaborative environment. Solid understanding of machine learning and data science fundamentals.

About UrbanPro: UrbanPro is Indias largest marketplace for learning and skill development, connecting students with qualified tutors and trainers across a wide range of subjects and professional skills. As a trusted platform, we empower individuals to advance their careers and academic journeys by providing access to quality education and personalized training. Job Overview: UrbanPro is seeking a passionate and knowledgeable Data Science Trainer to join our pool of expert freelance trainers. This role is ideal for individuals who have a strong command of data science concepts, enjoy teaching, and want to work from the comfort of their home. As a Data Science Trainer with UrbanPro, you’ll deliver live, interactive sessions and provide guidance to students, helping them build a robust understanding of data science tools and techniques. Key Responsibilities: Conduct online, interactive training sessions on data science topics for beginner to advanced level students. Design and deliver engaging learning materials, including presentations, case studies, and real-world examples. Mentor and guide students on projects, assignments, and career-related skills. Provide timely feedback and address student queries to ensure a thorough understanding of concepts. Stay updated with the latest trends and advancements in data science and incorporate relevant content into the curriculum. Requirements: Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. Experience: Proven experience (2+ years) in data science, machine learning, or a related area, with at least 1 year of training or teaching experience. Technical Skills: Proficiency in Python/R, SQL, and data visualization tools (e.g., Tableau, Power BI). Experience with machine learning algorithms, statistical analysis, and predictive modeling. Familiarity with big data tools like Hadoop or Spark is a plus. Soft Skills: Strong communication, patience, and ability to simplify complex concepts for learners. Equipment: A stable internet connection, a laptop or desktop with a webcam, and necessary software for online teaching. Why Join Us? Flexible, remote work – Set your schedule and work from anywhere. Competitive compensation – Earn based on the hours and quality of training delivered. Impactful role – Help students from diverse backgrounds advance their careers in data science. Professional development – Access to UrbanPro’s resources to stay updated and enhance your teaching skills.