Financial Planning: Prepare monthly Forecasts & Actuals as well as annual Budgets on various P&L as well as other KPIs lines, followed by system upload and checks. Financial Reporting: Prepare and distribute regular financial reports, dashboards, and commentaries to management, highlighting key performance metrics and trends (variance vs. Budget / Forecast; sequential evolution; relational ratios, Business Mix etc.) Financial Analyses: Conduct variance analysis between actual results/latest forecast and budget/previous forecast and provide explanations for key variances. Provide analytical support to management for strategic initiatives and operational improvements. Data Management: Ensure accuracy and integrity of financial data through validation and reconciliation processes. Event Support: Support other events like Business Reviews, 3 Year Plans OR any other ad-hoc requirements to address specific business questions or challenges. Cross-functional Collaboration: Interact & collaborate with different upstream & downstream teams within Finance as well as other functions like Sales, Operations, HR, etc., for various data inputs, clarifications as well as reconciliations. Governance and Compliance: Ensure adherence to internal controls & other governance aspects (like updated SOPs, validation checks in reports) Primary Skills 1 to 4 years of core experience in Finance Planning & Analysis (FP&A) Budgeting, Forecasting, Variance Analysis, P&L management Basic knowledge of Financial Processes & financial statements Basic understanding of P&L and various KPI levers impacting P&L Good working knowledge of Microsoft Office tools, specifically MS Excel, MS PowerPoint Willing to work in UK/ afternoon shift (IST 12pm to 9.30pm) Secondary Skills Excellent communication, articulation & presentation skills. Growth mindset & problem-solving attitude. Pro-active & flexible approach - adaptive to work with different scenarios & people.

Extensive knowledge of CAD integration frameworks and exposure to all major CAD integrations like NXI, SWIM, SEEC, TcIC, IPEM. Programming experience in C, C++, Java, Java script, Angular & scripting languages is required Programming experience in TC server side (ITK), SOA & AWC customizations Knowledge of Databases, Server Setups, Hardware analysis, and Performance tuning a plus. Collaborate with local and remote team members in developing and executing Teamcenter solutions. Participate in small to large PLM environments to Install and Upgrade Teamcenter environments. Define Infrastructure architectures for complex Teamcenter implementations. Gather requirements from process SMEs, document them, and develop technical solutions Configure Teamcenter BMIDE, BOM Management, Workflows, Access control, Change Management, Dispatcher Configuration, ERP Interfaces, and other modules of PLM Troubleshoot Teamcenter technical issues at various levels like installation, deployment, configuration, server side and client-side issues Implement PLM/CAD interoperability strategies Primary Skills TC server side (ITK), SOA & AWC customizations Teamcenter Integrations Skills (competencies)

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.

Description - External Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Lead and manage a team of data scientists, fostering a collaborative and innovative environment Oversee the design and development of predictive models and machine learning algorithms Collaborate with business stakeholders to understand and define their data needs Translate business problems into data-driven solutions, presenting complex results in a clear and actionable manner Monitor model performance and continuously improve the accuracy of predictions and insights Maintain up-to-date knowledge of the latest data science trends and technologies, implementing new methodologies as appropriate Promote data literacy throughout the organization, educating staff on how to use data to drive decision-making Ensure data integrity and compliance with privacy regulations Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Role & responsibilities Required Qualifications: Bachelor of Engineering or equivalent 10+ years of total experience Coding : Python, pandas, numpy Math behind ML and DL algorithms Basics of Statistics ML and DL concepts Preferred Qualification: Exposure GenAI and LLMs Preferred candidate profile Perks and benefits

Skills - AI/ ML, Gene Ai, NLP, Python Looking only for immediate joiners

Role & responsibilities Develop and deliver curriculum content for robotics and AI courses. Create and implement lesson plans that align with educational standards. Conduct hands-on workshops and laboratory sessions. Evaluate and assess student performance and progress. Stay updated with the latest trends and technologies in robotics and AI. Provide guidance and mentorship to students on projects and assignments. Collaborate with fellow educators to integrate technology into the overall teaching framework. Prepare instructional materials and resources for classroom use. Conduct periodic assessments and provide constructive feedback to students. Preferred candidate profile

Location : JP Nagar, Bangalore Mode of work: Work from Office Experience: 6 months 1.5 years Notice period : Immediate Joiners Only Mode of Interview : Face to Face Were looking for enthusiastic AI/ML talent to work on exciting projects in Generative AI, NLP, LLMs, and Deep Learning. Strong programming skills in Python and SQL Hands-on experience with ML/DL libraries NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch Good understanding of data preprocessing, feature engineering, model training & evaluation Experience working with Django or Flask Experience with Generative AI Familiarity with Deep Learning, NLP, LLMs, Exposure to data visualization tools Matplotlib, Seaborn, Tableau, Power BI Strong problem-solving skills and attention to detail Excellent communication skills Ability to thrive both independently and in a collaborative team setting

Responsibilities: * Collaborate with cross-functional teams on AI projects using Python, Django & FastAPI. * Develop machine learning models with PyTorch/TensorFlow and integrate into apps.

Requirements: A proven track record with 5+ years of experience in AI/ML platform management or a similar role Deep expertise in machine learning, data analytics, and cloud computing Extensive hands-on experience with platforms and tools such as Dataiku , Azure ML, Azure AI, Foundry, and related systems Strong knowledge of agile methodologies, DevOps practices, and CI/CD pipeline management Demonstrated ability to manage multiple priorities in a fast-paced and dynamic environment Proven leadership skills in guiding cross-functional teams and driving large-scale technology initiatives Experience with Agile methodologies is a plus More details kindly share cv to admin@spearheadps.com or WhatsApp at 9899080360

Role & responsibilities Contribute to various functions of the organisation based on business needs, considering your strengths and interests Areas of work mainly include content creation, market research, internal and external communication, and event management Possibility of a full-time role based on performance Exceptional learning experience with a chance to explore your own purpose and passions Preferred candidate profile We are seeking a highly motivated and entrepreneurial team mates to join our core team in Marketing department for Head office, Pune. We are offering 1 year Internship for selected candidates.

Develop &implement technical solutions for gaming platforms. Collaborate with teams for innovative gaming experiences. Analyze & optimize technical performance for user experiences. Updated on industry trends & emerging technologies in gaming & AI. Perks and benefits Provident Fund benefits/company policy/WCI policy.

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.

Role & responsibilities Full Stack LLM Development Sr Analyst Tech for Operations - Artificial Intelligence (Al) Qualification Any Graduation Years Of Experience 5 to 8 years You wil be part of the Technology for Operations team that acts as a trusted advisor and partner to Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions. The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent Automation Understanding of foundational principles and knowledge of Artificial Intelligence Al including concepts, techniques, and tools in order to use Al effectively. What are you looking for ? Make sure there is n o reference of client name / project Python (Programming Language) Python Software Development • Machine Learning Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providin solutions to work related problems. - Collaborate with cross-functional teams to analyze business requirements and translate them into technical solutions. - Develop and naintain high-quality software code adhering to coding standards and best practices. - Conduct thorough testing and debugging of applications to ensure optimal performance Provide technical support and guidance to end-users as needed. - Stay updated on emerging technologies and trends in application development Roles and Responsibilities • In this role you are required to do analysis and solving of increasingly complex problems You are likely to have some interaction with clients You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others • In this role you would be an individual contributor and/or oversee a small work effort and/or team • Please note that this role may require you to work in rotational shifts - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with cross-functional teams to analyze business requirements and translate them into technical solutions. - Develop and maintain high-quality software code adhering to coding standards and best practices. - Conduct thorough testing and debugging of applications to ensure optimal performance. - Provide technical support and guidance to end-users as needed. - Stay updated on emerging technologies and trends in application development to drive continuous improvement.

Role & responsibilities Key Responsibilities: Analyze large and complex data sets to identify patterns, trends, and actionable insights using AI techniques. Develop and implement AI models, including machine learning, deep learning, and natural language processing algorithms, to address client-specific challenges. Design, develop, test, and deploy scalable AI solutions in production environments (a plus) Collaborate with cross-functional teams, including consultants and industry experts, to understand client needs and deliver AI-driven solutions. Communicate findings and insights effectively to both technical and non-technical stakeholders. Continuously improve existing AI models and algorithms to enhance their accuracy and efficiency Stay up to date with the latest advancements in AI, machine learning, and deep learning, and apply them to client projects. Contribute to the development and maintenance of AI infrastructure and tools. Qualifications: Bachelors or masters degree in Statistics, Computer Science, Engineering, or a related field Corporate Finance knowledge/interest is a plus. Familiarity with Agile methodologies and experience working in Agile teams. A product improvement mindset, with a focus on iterating and enhancing AI solutions. Minimum of 3 years of work experience in data science or a related field with a focus on AI Strong knowledge of AI techniques (knowledge of Rag Implementation and Agents) including machine learning, deep learning, and natural language processing Proficiency in Python and related libraries (e.g., Pandas, NumPy, scikit-learn, streamlit) is mandatory. Proficiency in querying language like SQL Experience with AI and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch) Strong problem-solving skills and attention to detail Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields. A proactive learning attitude and willingness to stay current with industry trends and technologies. Experience working in a collaborative team environment. Strong development skills, including software engineering best practices (e.g., version control, testing, code reviews) Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)

Dear Candidate, We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI , Cognitive Services, Machine Learning , and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services . Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub , Edge , or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions. Soft Skills: Problem-Solving: Ability to analyze complex problems and develop effective solutions. Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams. Analytical Thinking: Ability to think critically and analytically to solve technical challenges. Time Management: Capable of managing multiple tasks and deadlines in a fast-paced environment. Adaptability: Ability to quickly learn and adapt to new technologies and methodologies. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

Responsibilities: * Proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn. * Basic understanding of data structures, algorithms, & statistics. * Strong problem-solving skills and eagerness to learn. Annual bonus

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.

About Info Edge InfoEdge?s 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 behavior, 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: Shiksha.com Shiksha.com is an online platform that helps students find in-depth information about colleges, courses and exams. It also enables students to interact with domain experts and college/school alumni towards taking exam, course-selection and college-selection related decisions. It has a repository of reliable and authentic information for over 15,000 institutions, 1,40,000 plus courses and gets over 70 million unique visitors per year. Shiksha provides leads of relevant students to Universities and Colleges seeking to admit those students in their courses Title: Executive / Sr. Executive (Student Success) Required Educational Qualification: Any Graduate or Postgraduate Desired Experience: 1 - 4 years Job Objective: Objective is to provide professional guidance to students interested in studying in an Indian College / University for higher education. Job Description: Helping the registered users of shiksha.com (students / parents) to take the unbiased and informed decision on making the right choices for institutes to enroll for higher studies. Understand their requirements in-terms of courses, college or university preference, course duration, fee structures and other criterions. Ensure conversions of potential online leads from the domestic section of the portal by virtual connects (Calls/Skype/whatsapp) into confirmed applications / admissions in the partner universities / Institutions Coordinate and maintain a strong relationship with students, institutions, universities and university spocs. Demonstrate expertise for counseling and shortlisting of colleges/ universities according to the student profile and ensure documentation. Maintain weekly/monthly reports and process related matrices showing progress on student conversions/target achievement Required Skills: Excellent communication both verbal and written Experience in education counselling Sales acumen and target orientation Documentation and customer engagement Desired Skills: Customer centric approach Interpersonal skills Data management and analytics Why Join Us: This is a unique opportunity to work on innovative and disruptive technology driven business solutions that are shaping the future of the industry. We are looking for candidates who are willing to work passionately in a fast-paced environment and are ready to enhance their skills by learning something new. Being a part of InfoEdge, will allow you to unleash your potential and carve your own career. To learn more about Info Edge visit http://www.infoedge.in/

Job description: AI/ML/Gen AI Technology Lead Location: Andheri, Mumbai Education: Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field with substantial experience in AI/ML engineering. Job Type: Full-Time Responsibilities: 1) Experience in programming languages such as Python, R, or Java. Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of deep learning, image processing, video analytics, and NLP techniques. 2) Experience in AI/ML Model Development, Agentic AI, Image Analytics, Voice Analytics, Text Analytics, Cloud & Infrastructure, Integration & Deployment. Hands on experience on implementation of LLM Models & Generative AI. 3) Hands-on experience with cloud platforms like AWS and Azure, including: AWS: Amazon SageMaker, AWS Lambda, AWS Glue, Amazon Redshift. Azure: Azure Machine Learning, Azure Databricks, Azure Synapse Analytics, Azure Cognitive Services. If interested, please share cv on priya@hrworksindia.com

Responsibilities: * Help conduct classes * Train students on AI & IT skills * Conduct interactive sessions * Facilitate hands-on learning experiences * Promote innovation through technology education *Knowledge of Arduino, Robotics kits preferred

Job description Looking for SDET/ Automation testing with Gen AI Testing Interested ones share CV and below details to snidafazli@altimetrik.com Name(as per aadhar card): Phone Number: EmailID: Current CTC: Fixed CTC: Expected CTC: holding any offers: Current Company: Payroll Company: Notice period: If serving Notice period, exact LWD: Current Location: Preferred location: Total years of experience: Relevant Experience below in years, SDET: Gen AI Testing: Python/Java: Selenium: API Automation: Rest Assured: BDD: Cucumber:

Role & responsibilities Perform AI model training activities such as generating/loading large datasets, document samples, process documentation, and prompts to support rapid and complete development of high impact models. Execute daily monitoring of AI and process performance. Identify, troubleshoot, and resolve issues with AI-based process performance in collaboration with users and various stakeholders Identify and drive implementation of improvements in process, AI prompts, and model accuracy and completeness in conjunction with Ecolab Digital AI team. Support objectives to ensure AI performance meets business value objectives. Ensure compliance with established responsible AI policies. Maintain documentation on AI processes. Monitoring the performance of business processes, such as cash applications, order processes, and billing. Identifying issues and resolving them in collaboration with development teams. Providing training data sets for AI models. Interacting with users to understand and solve performance issues in automated processes. Analyzing data and metrics to detect anomalies and optimize processes. Preferred candidate profile Minimum Qualifications: Bachelor's degree in Computer Science, Data Science, or a related field. Masters degree preferred Process domain expertise Experience with AI/ML operations and monitoring tools. Strong problem-solving and analytical skills. Knowledge of AI governance and ethical guidelines. Excellent communication and collaboration skills. Knowledge of machine learning frameworks and libraries Preferred Qualifications: Deep understanding of business processes and how they operate. Technical aptitude to understand systems and processes, including AI solutions. Experience with SAP and ServiceNow is ideal. Competence in data analysis and the ability to interact with large volumes of data. Focus on business analysis and problem-solving rather than software development. Ability to interact with users and provide support in optimizing processes.

15 years of experience in software engineering, with at least 5 years of experience in a leadership role. Strong technology expertise in Java, Microservices architecture, AWS cloud platform, AI, and the Angular framework. Solid background in building scalable and distributed systems, with expertise in technologies such as Spring boot (Spring (Core, AOP, Transactions, Data, Security), Cassandra, Kubernetes (K8s), Kafka, Docker and others. Experience with security best practices and protocols (e.g., SSL/TLS, OAuth) Hand on experience towards Architecture and Design patterns. Practice industry's leading best guidelines/processes in building enterprise products/components Proven track record of successfully leading and managing high-performing engineering teams. Excellent communication, interpersonal, and leadership skills. Ability to mentor and coach others, helping them develop their technical and leadership skills. Strong problem-solving and analytical skills. Experience with Agile development methodologies. Ability to prioritize effectively and manage multiple tasks simultaneously. Experience in building and scaling software applications. Experience in recruiting and hiring top-tier engineering talent. Ability to work effectively in a cross-functional team environment. Skills: ssl/tls,software,agile development methodologies,spring boot,kubernetes,java,security best practices,microservices architecture,agile methodologies,leadership,kafka,architecture and design patterns,ai,aws cloud platform,docker,kubernetes (k8s),aws,oauth,angular,cassandra