7846 Artificial Intelligence Jobs - Page 14

Job Title: Data Science Expert (Mentor & Trainer) Location: Onsite Mumbai, India Employment Type: Full-Time About the Role: We are seeking an experienced and highly skilled Data Science Expert to join our growing team at our Mumbai office. This is a full-time, onsite role focused not only on solving complex data problems but also on mentoring and training Junior Data Science Engineers . The ideal candidate will bring deep technical expertise in data science and machine learning, along with a passion for teaching and developing talent. Key Responsibilities: Lead the development of end-to-end data science solutions using advanced ML, NLP, and Computer Vision techniques. Train, mentor, and support junior data science engineers in coding, model development, and best practices. Architect and implement AI-driven solutions such as chatbots, OCR systems, and facial recognition applications. Translate complex business problems into actionable data science projects and deliver measurable results. Design and lead internal workshops, code reviews, and learning sessions to upskill the team. Collaborate with engineering and product teams to deploy models and insights into production environments. Stay abreast of the latest AI/ML trends and integrate cutting-edge techniques into projects where applicable. Desired Skills & Qualifications: Experience: 6+ years in Data Science/Machine Learning with at least 12 years of team mentoring or leadership experience. Education: Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. Technical Expertise Required: Strong proficiency in Python and SQL ; R is a plus. Solid hands-on experience with Deep Learning and Neural Networks , particularly in Natural Language Processing (NLP) , Generative AI , and Computer Vision . Familiarity with frameworks and libraries such as TensorFlow , Keras , PyTorch , OpenCV , SpaCy , NLTK , BERT , ELMo , etc. Experience developing Chatbots , OCR , and Face Recognition systems is preferred. Hands-on knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform). Experience applying statistical and data mining techniques such as GLM , regression , clustering , random forests , boosting , decision trees , etc. Strong understanding of model validation , performance tuning , and deployment strategies . Soft Skills: Excellent communication and presentation skills, especially in explaining complex models to non-technical audiences. Demonstrated ability to mentor, train, and lead junior team members effectively. Strong analytical and problem-solving mindset with a detail-oriented approach. What We Offer: Competitive salary and benefits A collaborative and intellectually stimulating environment Career growth and leadership development opportunities within a fast-paced team

As an HR Intern/Consultant for AI & Digital Transformation Projects based in Bangalore, you will have the opportunity to support strategic initiatives at the intersection of Human Resources and Artificial Intelligence. Your role will involve utilizing AI agents and digital tools to address genuine HR challenges and contribute to the development of platforms that enhance the visibility and transparency of employee benefits and policies. Your responsibilities will include assisting in the design and implementation of AI agents to streamline HR operations such as query resolution, onboarding, and FAQ bots. Additionally, you will be involved in the creation or enhancement of internal HR microsites/portals to present employee benefits, policies, and resources in a user-friendly and engaging manner. This multifaceted role will require you to think like an HR strategist, tech enthusiast, and design thinker to develop intuitive tools that enhance the overall employee experience. As an ideal candidate, you are either pursuing or have recently completed a degree in Computer Science or a related field, demonstrating a keen interest in HR Tech, AI, and digital transformation. Your analytical mindset, coupled with strong problem-solving and communication skills, will be essential for success in this role. You should be comfortable operating in dynamic environments with ambiguity and have exposure to AI tools such as ChatGPT, Bard, and Copilot. This internship offers you the opportunity to gain hands-on experience in revolutionizing traditional HR functions through the application of AI. You will be exposed to real-world product development within the people-tech space, collaborate with senior HR stakeholders, and contribute to shaping the future of employee experience within a technology-forward organization.,

Job Summary : We are seeking a seasoned Machine Learning Architect to lead the design, development, and deployment of scalable ML solutions. The ideal candidate will have deep expertise in machine learning, data engineering, and cloud architecture, with a passion for driving innovation through AI/ML technologies. Key Responsibilities: - Design end-to-end ML architectures for large-scale, production-grade applications - Guide data scientists and ML engineers in building, testing, and deploying ML models - Collaborate with stakeholders to define AI/ML use cases and translate them into architectural solutions - Evaluate and select appropriate ML algorithms, frameworks, and platforms - Ensure scalability, performance, and reliability of ML systems - Oversee model versioning, governance, and MLOps pipelines - Work closely with data engineering teams to ensure data quality and readiness for ML pipelines - Stay current with latest ML research and trends, and bring innovative ideas into production Required Skills & Qualifications : - 12+ years of experience in software/data engineering, with 5+ years in machine learning roles - Proven experience in designing ML systems using frameworks like TensorFlow, PyTorch, or Scikit-learn. - Strong knowledge of cloud platforms (AWS, GCP, or Azure) and their ML services - Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI) - Expertise in data pipelines, feature engineering, model training, and deployment - Solid programming skills in Python - Strong understanding of deep learning, NLP, computer vision, or time series modeling

Working at Freudenberg: "We will wow your world!" This is our promise. As a global technology group, we not only make the world cleaner, healthier, and more comfortable but also offer our 52,000 employees a networked and diverse environment where everyone can thrive individually. Be surprised and experience your own wow moments. Klber Lubrication, a company of the Freudenberg Group, is the global leader in specialty lubrication with manufacturing operations in North and South America, Europe, and Asia, subsidiaries in more than 30 different countries, and distribution partners in all regions of the world, supported by our HQs in Germany. We are passionate about innovative tribological solutions that help our customers to be successful. We supply products and services, many of them customized, in almost all industries from automotive to the wind energy markets. Some of your Benefits Diversity & Inclusion: We focus on providing an inclusive environment and recognize our diversity contributes to our success. Health Insurance: Rely on comprehensive services whenever you need it. Personal Development: We offer a variety of trainings to ensure you can develop in your career. Safe Environment: We strive to ensure safety remains a top priority and provide a stable environment for our employees. Sustainability & Social Commitment: We support social and sustainable projects and encourage employee involvement. Bangalore On-Site Klber Lubrication India Pvt. Ltd. You support our team as Statistical Analytics Engineer (F/M/D) Responsibilities Performs projects in statistics, data science, and artificial intelligence in the technical field of KL under the guidance of experts, evaluates, and comments on results. Implements data processes and data products into operations and works on their operation and optimization. Coordinates regularly with experts in statistics, data science, and artificial intelligence at KL. Maintains a balance between effort (time, cost) and expected benefit of incoming requests. Contributes ideas for KL-relevant developments and methods, especially in the field of data analysis and artificial intelligence, and implements them as needed. Supports the improvement and automation of processes/workflows in own & adjacent work areas through statistical methods and evaluations. Works on cross-functional project teams and projects with external partners. Keeps own expertise up to date (self-study, external training, meetings, specialist groups). Supports technical colleagues in the introduction, use, and quality assurance of data analysis tools. Presents contributions to statistics and data science in the context of Klber internal and customer training. Qualifications Engineering Graduate /Masters in Chemistry, Physics, or equivalent degree. Overall 7-10 years of experience in data modeling, analysis, and visualization in manufacturing or industrial environment. Completed higher education in science, focus on chemistry, physics, mathematics, or related discipline. Strong experience in methods for processing, evaluating, and modeling data. In-depth programming knowledge with a focus on data science and data engineering, preferably in Python. Experience using cheminformatics, materials informatics, generative AI, and machine learning. Experience in developing interactive data applications with frameworks like Shiny, Dash, or streamlit. Good knowledge of relational data (SQL), experience in tools like JupyterLab, Gitlab, Airflow, MLFlow, knowledge of chemical analysis and organic chemistry.,

Mega Walk-in Drive for Full Stack Java Developer / Python Developer 1+ Years Experience Date : 02/08/2025 & 03/08/2025 Time : 11 am to 3 pm Role & responsibilities Full Stack Java Developer / Python Developer We are looking for a Full Stack Developer to join our team and help us develop and maintain various software products for Government Organizations. Developer responsibilities include writing and testing code, debugging programs and integrating applications with third-party web services. To be successful in this role, you should have experience using server-side logic and work well in a team. Ultimately, you will build highly responsive web applications that align with our business needs. Job description Good experience of Java, Spring MVC, Spring Boot, Rest API Design, build and test Java EE and Angular full stack applications Work experience as a Python Developer Experience in JavaScript Framework like Angular, Vue, Ext JS, ReactJS Expertise in at least one popular Python framework (like (Django/Flask) Working experience on MYSQL, Oracle, PostgreSQL, MongoDB Strong knowledge of HTML5, Bootstrap, CSS 3, JavaScript and JQuery Knowledge of object-relational mapping (ORM) Must have extensive experience in developing micro service-oriented architecture/web services, SOAP / REST API Should have hands-on experience and thorough knowledge in understanding of data structures and algorithms Proficient understanding of code versioning tools such as Git. Experience with JDBC, microservices, docker, XSLT, JSON, Rest, angular JS including socket programming Knowledge of Artificial Intelligence (AI) and Software Audit programming would be advantageous. Preferred candidate profile You need to have: 1+ years of experience Team spirit Good problem-solving skills Punctual, Dedication and Commitment Talent Acquisition Team Email your latest resume on : info@geometricsoft.com

Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, you're part of a diverse team of scientists, engineers, and machine learning experts collaborating to advance the state of the art in artificial intelligence. The technologies developed are aimed at benefiting the public and driving scientific discovery, while prioritizing safety and ethics. As a highly motivated and innovative Research Scientist in Bengaluru, you will focus on advancing multiagent systems for social impact. Your role involves conducting cutting-edge research on multiagent systems, particularly agents based on large language models (LLMs), with a specific emphasis on accelerating social impact. This position provides a unique opportunity to engage in fundamental AI research, collaborate with a world-class team, and witness the translation of your work into real-world applications. If you're passionate about shaping the future of social impact through AI and eager to make a significant difference in the evolving landscape of multiagent systems and AI agents, we encourage you to apply. You will be responsible for conducting cutting-edge research by developing novel algorithms, models, and techniques for multiagent systems. This includes pushing the boundaries of AI research in areas like multiagent reinforcement learning, bandit algorithms, and diffusion models. Your research will play a direct role in enhancing Google's multiagent capabilities, with a special focus on social impact. Additionally, you will design, implement, and evaluate the use of AI agents for social impact, exploring techniques to enhance model performance and robustness in real-world scenarios. Collaboration is key in this role, as you will work closely with other research scientists, engineers, and product teams at Google DeepMind. Your research findings will be shared through publications in top-tier conferences and journals, contributing to both the academic community and the development of impactful products. Moreover, you will witness the real-world impact of your research across various domains, potentially influencing future Google products and services. To stay at the forefront of AI research, you will continuously explore emerging trends and participate in international conferences and workshops to share your work and learn from others in the field. As a passionate and talented researcher with a strong theoretical foundation in AI, you are eager to conduct impactful research and collaborate with a team to address ambitious challenges. Your goal is to see your research translate into real-world impact that enhances lives. A Ph.D. in Computer Science, Artificial Intelligence, or related fields is required, along with a strong publication record in top-tier machine learning conferences or journals. You should have a solid understanding of multiagent systems research, including topics such as multiagent reinforcement learning, game theory, social choice, and bandit algorithms. Experience with ML frameworks such as JAX, TensorFlow, or PyTorch is essential. Additionally, familiarity with large language models, AI agents, large-scale model training, and deployment, as well as strong programming skills in Python or similar languages, will be advantageous. Excellent communication and collaboration skills are also necessary for this role.,

At Kenvue, we understand the profound impact of everyday care. With a rich heritage spanning over a century and a foundation in science, we are the proud home of renowned brands such as NEUTROGENA, AVEENO, TYLENOL, LISTERINE, JOHNSONS, and BAND-AID that are already part of your daily life. Our dedication to science fuels our endeavors, while our caring nature defines our abilities. Comprising a global team of 22,000 diverse and talented individuals, we are dedicated to innovation, insights, and delivering exceptional products to our valued customers. As a Kenvuer, you possess the power to positively influence the lives of millions every day. Placing people at the forefront, we embody a culture of care, trust, scientific integrity, and problem-solving courage. Exciting opportunities are on the horizon, waiting for you to be a part of shaping not just our future, but yours as well. In the role of a Manager, Data Products at Kenvue, you will play a pivotal role in spearheading the development and implementation of data-driven products leveraging digital, artificial intelligence, and analytics technologies. Working in close collaboration with multifunctional teams comprising data scientists, software engineers, product managers, and business stakeholders, you will be tasked with defining the vision, strategy, and execution of these innovative products. Your responsibilities will include collaborating with stakeholders to establish the vision, goals, and roadmap for digital, data, and AI products that align with overarching business objectives. By engaging with various business units, you will decipher their requirements and translate them into actionable product specifications. Overseeing data collection, storage, and preprocessing processes will be essential to ensure data quality and availability for training and model deployment. You will work hand in hand with data scientists and machine learning engineers to conceptualize, develop, and deploy machine learning models that drive the AI data products. In addition, you will lead the entire product development lifecycle, encompassing design, development, testing, and deployment phases of AI data products. Collaboration with user experience (UX) designers is crucial to ensure the creation of intuitive and user-friendly interfaces for these products. Monitoring performance metrics and establishing tracking mechanisms will allow you to gauge the impact of AI data products effectively. Continuous iteration and enhancement of data products based on user feedback and performance insights will be a key focus area. Market analysis and competitive research will enable you to identify opportunities and remain abreast of industry trends. Furthermore, you will be responsible for risk management by identifying potential risks associated with data and AI products and devising mitigation strategies. The core responsibilities of this role include defining the data product vision and roadmap, ensuring alignment with business needs for impactful monetization, managing the data product development lifecycle, gathering requirements from stakeholders, designing the technical architecture of data products, ensuring data product quality, overseeing the launch and monitoring of data products, providing user training on data products, marketing data products to potential users, collaborating with the data science team to develop new data product features, managing the data product's budget, and implementing the data product marketplace to enhance user adoption and experience. The ideal candidate for this role would possess a minimum of 8 years of relevant experience with a Bachelor's degree, or a Master's degree, or a PhD along with 5 years of experience in areas such as Technology, Computer/Software Engineering, Data Science, Applied Mathematics, or Statistics. Additionally, 3+ years of experience in the CPG/Retail industry with a sound understanding of business and data domains related to Customer, Product, Consumer, and Finance is preferred. Proven experience in product management or product ownership, particularly in the realm of data-driven products like data platforms and AI technologies, is highly desirable. Familiarity with machine learning concepts, algorithms, and model deployment is advantageous. Strong project management skills, stakeholder management capabilities, and the ability to lead cross-functional teams are essential qualities. Proficiency in data analysis, visualization, and data-driven decision-making is crucial. Effective communication and presentation skills to convey intricate technical concepts to non-technical stakeholders are required. An understanding of data privacy and security considerations in AI product development is important. Experience with Agile development methodologies is beneficial. Proficiency in Data Governance, Metadata Management, Data Catalog, Business Glossary, Python, and SQL is preferred. Candidates from the Retail or CPG industry would be given preference. This position is based in Bangalore, India, within the Asia Pacific region, and falls under the Architecture job function at Kenvue. Desired qualifications for this role include expertise in various areas related to data product management. Join us at Kenvue and be a part of our journey towards creating impactful and innovative data products that shape the future while enhancing your own professional growth.,

At EY, you'll have the opportunity to shape a career that aligns with your unique qualities, supported by a global network, inclusive environment, and cutting-edge technology to empower your growth. Your distinctive voice and perspective are valued to contribute towards enhancing EY's continuous progress. By joining us, you can craft an exceptional journey for yourself while contributing to creating a better working world for all. As an Assistant Director - Time and Expense Assistant Product Manager within the Mercury Support Team (MST), a collaborative Finance/Enterprise Technology organization at EY, you will play a pivotal role in implementing innovative technologies that underpin our core operational processes throughout the Opportunity and Engagement Lifecycle and associated Finance Applications. Our focus is on enhancing customer experience through innovative solutions, operational efficiency, and stable services. Collaborating with technology experts and business professionals, you will be at the forefront of driving business growth, learning opportunities, and significant impact. Key Responsibilities: - Document business processes, workflows, and requirements to ensure alignment with organizational objectives. - Develop detailed functional specifications for SAP Timesheet and SAP Concur Expense components. - Support the lead Product Manager in communicating with stakeholders and the technical team. - Engage in product update lifecycle, emphasizing demand, requirements, validation, and business signoff. - Facilitate requirements review, validation activities, and user acceptance testing for new features. - Ensure adherence to industry best practices, regulations, and internal policies. - Monitor the effectiveness of SAP components in supporting business operations and report on their impact. - Manage functional incidents, service requests, and problem tickets through resolution. - Analyze batch failures/errors and provide insights to the lead Product Manager. - Assist in staffing planning across SAP Timesheet and SAP Concur Expense product suite. - Mentor and develop team members, oversee onboarding, and facilitate career development. - Establish and maintain relevant controls and feedback systems within the department. Skills And Attributes Required: - 5+ years of experience in business system environment with expertise in SAP Concur employee expense solution. - Proficiency in SAP Timesheet and SAP Concur Expense solutions for global professional services organizations. - Strong communication skills and ability to work in diverse cultural settings. - Familiarity with Artificial Intelligence, BOT Framework, and Machine Learning. Qualifications: - Creative mindset with analytical skills and ability to manage complex projects independently. - Effective listening and conflict resolution skills. - Excellent written and verbal communication abilities. - Flexibility to work outside regular office hours to meet global organizational needs. Education: - Bachelor's degree in finance, business, computer science, or related field, or equivalent experience. Experience: - 5+ years of relevant experience in SAP Concur function. - Possession of a current professional certification preferred. EY offers a dynamic work environment with opportunities for growth and development. The benefits package emphasizes physical, emotional, financial, and social well-being. Continuous learning, transformative leadership, and a diverse and inclusive culture are key pillars of EY's commitment to building a better working world.,

We’re Looking for an AI/ML Architect to Shape the Future of Tech at Coimbatore and Chennai Are you ready to design intelligent systems that change the world? We’re searching for a rockstar AI/ML Architect to join our client’s team in Chennai and Coimbatore. If you have a passion for deep learning, cloud-native architectures, and scalable systems, this could be the challenge you’ve been waiting for! About the Role: You’ll be at the intersection of software engineering and AI innovation. As an Architect, you’ll design and implement cutting-edge AI products from the ground up. Think of it as being the architect of not just software, but also the future of AI. What You’ll Be Doing: Build Scalable Systems: Design and architect end-to-end solutions across the front-end, back-end, and everything in between, powered by AI and machine learning. Innovate with AI: From NLP to computer vision, you'll build deep learning systems that push boundaries using frameworks like TensorFlow and PyTorch. Shape the Cloud: Craft cloud-native infrastructures using AWS, Azure, and GCP. Think servers, containers, orchestration – all with security in mind. MLOps and AI at Scale: Deploy and optimize production-grade models. From model explainability to continuous learning, you’ll be driving the future of AI. Future-Proof Tech: Lead the way in microservices, event-driven architectures, serverless, and CI/CD pipelines. Who You Are: 15+ years of experience in software engineering, with 2+ years in an architecture role (bonus points for hands-on leadership!). Pro at AI/ML frameworks like TensorFlow, PyTorch, ONNX, and tools like SageMaker, Kubeflow, and Triton. Deep experience with cloud platforms (AWS, GCP, Azure), containerization, and orchestration (Docker, Kubernetes). Strong in designing microservices and RESTful APIs that power high-performance, real-world applications. Passionate about scalability, security, and building with purpose. Why You’ll Love This: Challenge: Work on projects that push the limits of AI, creating products that will shape the future. Growth: Lead architectural decisions and influence the entire AI product lifecycle. Impact: Work on AI/ML systems that matter – you’ll be transforming industries and lives with every decision.

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place one that benefits lives, communities and the planet Job Title: Data Analyst/Scientist Location: Chennai Work Type: Hybrid Position Description: For Data Analyst/Scientist Education: Bachelors, Masters, or Ph.D. in a quantitative domain including Statistics, Mathematics, Economics, Computer Science, Physics, and Engineering Experience: 3-5 years Automotive domain experience is a plus Freshers with exceptional educational credentials would be considered Skills: Data Analysis, Statistical Modelling, Artificial Intelligence (including Machine Learning, Natural Language Processing, and GenAI) Skills Required: Python, Statistics, SQL, Machine Learning Skills Preferred: LLM, cloud, GCP Experience Required: 5+ Education Required: Bachelor's Degree Education Preferred: Master's Degree TekWissen Group is an equal opportunity employer supporting workforce diversity.

Location: Vadodara Type: Full-time / Internship Duration (for interns): Minimum 3 months Stipend/CTC: Based on experience and role About Gururo Gururo is an industry leader in practical, career-transforming education With a mission to empower professionals and students through real-world skills, we specialize in project management, leadership development, and emerging technologies Join our fast-paced, mission-driven team and work on AI/ML-powered platforms that impact thousands globally, Who Can Apply Interns: Final-year students or recent graduates from Computer Science, Data Science, or related fields, with a strong passion for AI/ML, Freshers: 01 years of experience with academic or internship exposure to machine learning projects, Experienced Professionals: 1+ years of hands-on experience in AI/ML roles with a demonstrated portfolio or GitHub contributions, Key Responsibilities Design and develop machine learning models and AI systems for real-world applications Clean, preprocess, and analyze large datasets using Python and relevant libraries Build and deploy ML pipelines using tools like Scikit-learn, TensorFlow, PyTorch Work on NLP, Computer Vision, or Recommendation Systems based on project needs Evaluate models with appropriate metrics and fine-tune for performance Collaborate with product, engineering, and design teams to integrate AI into platforms Maintain documentation, participate in model audits, and ensure ethical AI practices Use version control (Git), cloud deployment (AWS, GCP), and experiment tracking tools (MLflow, Weights & Biases) Must-Have Skills Strong Python programming skills Hands-on experience with one or more ML frameworks (Scikit-learn, TensorFlow, or PyTorch) Good understanding of core ML algorithms (classification, regression, clustering, etc) Familiarity with data wrangling libraries (Pandas, NumPy) and visualization (Matplotlib, Seaborn) Experience working with Jupyter Notebooks and version control (Git) Basic understanding of model evaluation techniques and metrics Good to Have (Optional) Exposure to deep learning, NLP (transformers, BERT), or computer vision (OpenCV, CNNs) Experience with cloud ML platforms (AWS SageMaker, GCP AI Platform, etc) Familiarity with Docker, APIs, and ML model deployment workflows Knowledge of MLOps tools and CI/CD for AI systems Kaggle profile, published papers, or open-source contributions What Youll Gain Work on real-world AI/ML problems in the fast-growing EdTech space Learn from senior data scientists and engineers in a mentorship-driven environment Certificate of Internship/Experience & Letter of Recommendation (for interns) Opportunities to lead research-driven AI initiatives at scale Flexible work hours and performance-based growth opportunities End-to-end exposure ? from data collection to model deployment in production Show

In this role, as a subject matter expert, you will be the key player in our transformation and improvement programs. You will support us in connecting the dots between the digital world and core finance processes. This will require a thorough understanding of business processes, best practices, the latest developments, and benefits new tools can bring to VI. Next to business-oriented consulting skills, strong communication skills are essential, enabling us to put the plan into action together with our Global teams. You are a team player and, at the same time, able to deliver independently. Having strong analytical skills and a proactive can-do mentality. Well give you the opportunity to grow your network, broaden your experience and expand your horizons in a fast-growing global environment. Your department and scope of activities The scope of your role is global. Hierarchically, you will be part of the Global Transformation Office based in Veghel, the Netherlands and will report into the Global Process Owner Record-to-Report, who is leading transformation and change. We foster a flexible yet critical approach, emphasizing an end-to-end mindset, deep process knowledge, and a strong understanding of the business. We are expected to be highly skilled professionals with a deep understanding of finance, business, and technology. The role requires a combination of strategic thinking, analytical skills, and technical knowledge to design and implement solutions that support the organization's financial objectives Your role & responsibilities Process Focus: Advisor to a broad range of Stakeholders both in and outside finance. Process Improvement: Drive standardization and initiate improvements within Record to Report, using end-to-end expertise to enhance processes and tools. Cross-Functional Guidance: Provide expertise on Record to Report processes and offer guidance to related areas like Source to Pay, Lead to Cash, and Hire to Retire. KPI Management: Monitor and drive performance based on defined KPIs. Technology Focus: Finance Architecture: Contribute to developing and managing finance architecture, including processes, systems, and data, to align with business goals. Solution Implementation: Collaborate with IT and cross-functional teams to deliver technically sound, sustainable financial solutions. Change & Risk Management: Stay updated on new technological developments, manage architecture changes, and advise on priorities and risks. Continuous improvement focus: Identify, evaluate and drive opportunities for process optimization. General Global Alignment: Collaborate with global teams, including peers in the US and India, on Record to Report transformation projects. Qualifications Education: Master's degree in finance, Accounting, Business, or a related field (MBA or relevant certifications preferred); Experience: At least 10 years of working experience in record to report; Experience with financial systems and processes, especially with modern ERP / EPM solutions (e.g., Oracle Cloud EPM/ERP, SAP); Proven success in leading or participating in transformational finance projects, ideally in a global, multi-entity organization; Experienced in analyzing, redesigning, and implementing finance processes using best practices, with exposure to modern digital tools like Cloud platforms, AI, RPA, and Power Automate being a plus. Skills: Strong analytical and problem-solving skills; Exceptional communication skills, capable of explaining complex concepts to both technical and non-technical stakeholders; Excellent interpersonal skills, confident in building lasting business relationships; You have a result-oriented mindset, are independent, pro-active, innovative and take ownership; Proficient in implementing continuous improvement methodologies such as PDCA, Kaizen, and Lean principles to drive operational excellence; Be fluent in English (written and verbal)

AI/ML Engineer (Specializing in NLP/ML, Large Data Processing, and Generative AI) Job Summary Synechron seeks a highly skilled AI/ML Engineer specializing in Natural Language Processing (NLP), Large Language Models (LLMs), Foundation Models (FMs), and Generative AI (GenAI). The successful candidate will design, develop, and deploy advanced AI solutions, contributing to innovative projects that transform monolithic systems into scalable microservices integrated with leading cloud platforms such as Azure, Amazon Bedrock, and Google Gemini. This role plays a critical part in advancing Synechrons capabilities in cutting-edge AI technologies, enabling impactful business insights and product innovations. Software Requirements Required Proficiency: Python (core libraries: TensorFlow, PyTorch, Hugging Face transformers, etc.) Cloud platforms: Azure, AWS, Google Cloud (familiarity with AI/ML services) Containerization: Docker, Kubernetes Version control: Git Data management tools: SQL, NoSQL databases (e.g., MongoDB) Model deployment and MLOps tools: MLflow, CI/CD pipelines, monitoring tools Preferred Skills: Experience with cloud-native AI frameworks and SDKs Familiarity with AutoML tools Additional programming languages (e.g., Java, Scala) Overall Responsibilities Design, develop, and optimize NLP models, including advanced LLMs and Foundation Models, for diverse business use cases. Lead the development of large data pipelines for training, fine-tuning, and deploying models on big data platforms. Architect, implement, and maintain scalable AI solutions in line with MLOps best practices. Transition legacy monolithic AI systems into modular, microservices-based architectures for scalability and maintainability. Build end-to-end AI applications from scratch, including data ingestion, model training, deployment, and integration. Implement retrieval-augmented generation techniques for enhanced context understanding and response accuracy. Conduct thorough testing, validation, and debugging of AI/ML models and pipelines. Collaborate with cross-functional teams to embed AI capabilities into customer-facing and enterprise products. Support ongoing maintenance, monitoring, and scaling of deployed AI systems. Document system designs, workflows, and deployment procedures for compliance and knowledge sharing. Performance Outcomes: Production-ready AI solutions delivering high accuracy and efficiency. Robust data pipelines supporting training and inference at scale. Seamless integration of AI models with cloud infrastructure. Effective collaboration leading to innovative AI product deployment. Technical Skills (By Category) Programming Languages: Essential: Python (TensorFlow, PyTorch, Hugging Face, etc.) Preferred: Java, Scala Databases/Data Management: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, DynamoDB) Cloud Technologies: Azure AI, AWS SageMaker, Bedrock, Google Cloud Vertex AI, Gemini Frameworks and Libraries: Transformers, Keras, scikit-learn, XGBoost, Hugging Face engines Development Tools & Methodologies: Docker, Kubernetes, Git, CI/CD pipelines (Jenkins, Azure DevOps) Security & Compliance: Knowledge of data security standards and privacy policies (GDPR, HIPAA as applicable) Experience Requirements 8 to 10 years of hands-on experience in AI/ML development, especially NLP and Generative AI. Demonstrated expertise in designing, fine-tuning, and deploying LLMs, FMs, and GenAI solutions. Proven ability to develop end-to-end AI applications within cloud environments. Experience transforming monolithic architectures into scalable microservices. Strong background with big data processing pipelines. Prior experience working with cloud-native AI tools and frameworks. Industry experience in finance, healthcare, or technology sectors is advantageous. Alternative Experience: Candidates with extensive research or academic experience in AI/ML, especially in NLP and large-scale data processing, are eligible if they have practical deployment experience. Day-to-Day Activities Develop and optimize sophisticated NLP/GenAI models fulfilling business requirements. Lead data pipeline construction for training and inference workflows. Collaborate with data engineers, architects, and product teams to ensure scalable deployment. Conduct model testing, validation, and performance tuning. Implement and monitor model deployment pipelines, troubleshoot issues, and improve system robustness. Document models, pipelines, and deployment procedures for audit and knowledge sharing. Stay updated with emerging AI/ML trends, integrating best practices into projects. Present findings, progress updates, and technical guidance to stakeholders. Qualifications Bachelors degree in Computer Science, Data Science, or related field; Masters or PhD preferred. Certifications in AI/ML, Cloud (e.g., AWS, Azure, Google Cloud), or Data Engineering are a plus. Proven professional experience with advanced NLP and Generative AI solutions. Commitment to continuous learning to keep pace with rapidly evolving AI technologies. Professional Competencies Strong analytical and problem-solving capabilities. Excellent communication skills, capable of translating complex technical concepts. Collaborative team player with experience working across global teams. Adaptability to rapidly changing project scopes and emerging AI trends. Innovation-driven mindset with a focus on delivering impactful solutions. Time management skills to prioritize and manage multiple projects effectively.

Description: Position Overview: As a Data Scientist, he will be responsible for translating management and business requirements into advanced analytics solutions. He will play a crucial role in the development of data pipelines, business intelligence tools, and the delivery of meaningful insights through trend analysis and business analytics. Responsibilities: 1. Data Analysis and Modeling: • Collaborate with cross-functional teams to understand management and business requirements. • Develop and implement statistical models, machine learning algorithms, and other advanced analytics techniques to derive actionable insights. 2. Data Pipeline Development: • Design and build efficient data pipelines to support the collection, processing, and analysis of large datasets. • Ensure the availability, reliability, and scalability of data pipelines to meet business needs. 3. Business Intelligence (BI) Tool Development: • Work closely with IT teams to develop and maintain BI tools that provide intuitive access to data for business users. • Create dashboards and reports that visualize key performance indicators and support data-driven decision-making. 4. Trend Analysis and Reporting: • Conduct trend analysis to identify patterns, correlations, and anomalies in large datasets. • Generate and present regular reports on business analytics, highlighting key insights and recommendations. 5. Collaboration and Communication: • Collaborate with stakeholders to understand their analytical needs and translate them into actionable plans. • Communicate complex analytical findings to non-technical stakeholders in a clear and concise manner. Qualifications: Master's or Ph.D. in Computer Science, Statistics, Data Science, or a related field. • Proven experience as a Data Scientist with a focus on business analytics and trend analysis. • Strong programming skills in languages such as Python or R. • Experience with data visualization tools (e.g., Zoho Analytics, Tableau, Power BI). • Knowledge of statistical modeling, machine learning, and data mining techniques. • Excellent problem-solving and critical-thinking skills.

About the role: You will be part of an engineering development team that is responsible for the onprem/cloud-based platform development. You will be working on new services/features and managing existing functionalities or you could be the lead of features and will be responsible for design and completion of the feature. Expected to ramp up quickly and become a productive member of the assigned SCRUM/feature team. Responsible for the overall feature design, reviewing the design and code with other members of the team and actively drive the feature development. About You: You have 9-12 years experience of expert programming in a C/Linux environment You are experienced with Embedded development on Linux OS and are hands on with network protocols development. Work experience on Broadcom switch programming, DPDK and Port Module configurations. Expert level C Programming is a must and strong understanding of Algorithms and data-structures You have the ability to work independently and are a Team player with ability to technically lead functional teams. Excellent verbal and written communication skills. You can clearly communicate your needs, goals, and can explain your decisions articulately. You are committed to learning and maintain high software engineering standards.

NVIDIA is searching for a highly motivated, creative engineer to join the GPU Software team. As a GPU/SOC system software engineer, you will work with a team of very hardworking software and hardware engineers involving a wide variety of technologies. As someone who is hardworking and passionate about their work, you will craft and debug key aspects of our production GPU and SOC kernel drivers and embedded SW, focusing on platform performance, power savings, and robustness. You should demonstrate the ability to excel in an environment with intricate system level interactions. What youll be doing: Design, implement and debug changes in the NVIDIA SW stack to take next-gen HW from design / development stage to production, with focus on kernel-mode SW You will follow the devices all the way through the development process to datacenter systems, customer desktops, notebooks, workstations, and gaming console products that are used throughout the world. Be heavily involved in emulation, bringup, and product hardening required to build our groundbreaking products Multiple opportunities to collaborate and communicate optimally with teams from all around the globe What we need to see: BS or MS degree in Computer Engineering, Computer Science, or equivalent experience 3+ years of meaningful software development experience Background in solving problems that apply to sophisticated systems deployed at scale. Strong C/C++ programming skills as well as having shown initiative in pursuing independent coding projects Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc. ) Strong Operating systems fundamentals with Kernel experience on Linux or Windows systems Ways to stand out from the crowd: Background and strength with system-level (SW and HW) debugging is invaluable Windows Driver Models, with WDDM or MCDM a strong plus. Familiarity with system level security concepts Experience with system SW concepts. NVIDIA is widely considered to be one of the technology world s most desirable employers. NVIDIA is also an equal opportunity employer. We have some of the most forward-thinking and hardworking people in the world working for us. If youre creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

Career Category Engineering Job Description As a Sr Associate IS Engineer, you will join a collaborative team implementing and supporting the next generation of safety platforms and supporting technologies. In this role, you will engage with business users and functional SMEs, driving the delivery of innovative technology solutions that enhance business outcomes. Areas of focus will be on leading team performance, delivery management, and facilitating continuous improvement in both technical skills and user experience. Roles & Responsibilities: Work with partners to identify and prioritize system enhancements and new functionalities to meet evolving business needs Lead the day-to-day operations and maintenance of Pharmacovigilance (PV) systems. Overall accountability of technical implementation aspects of projects including planning, architecture, design, development, and testing to follow IS Change Control and GxP validation process. Provide support and consultation to clients or project teams to identify requirements and assist with application configurations and deployments. Monitor operational and performance statistics for managed systems to ensure reliability and availability. Oversee production change control schedule and participates in change control processes. Stay updated on industry trends, emerging trends and standard processes for PV systems. Maintain knowledge of trends in application development frameworks and related new technologies to provide, recommend, and deliver standard methodology solutions. Basic Qualifications and Experience: Master s / Bachelors degree with 5-9 years of experience in Computer Science, Software Development, IT or related field Functional Skills: Must-Have Skills: Experienced in database programming languages, data modelling concepts, including Oracle SQL and PL/SQL. Excellent problem-solving skills. Collaborative spirit and effective communication skills to seamlessly work in a cross-functional team. Hands-on experience with the ITIL framework. Good-to-Have Skills: Experience with API integrations such as MuleSoft, Data Bricks platforms Knowledge of Artificial Intelligence (AI), Robotic Process Automation (RPA), Machine Learning (ML), Natural Language Processing (NLP) and Natural Language Generation (NLG) automation technologies with building business requirements. Experienced in managing GxP systems and implementing GxP projects Extensive experience with Software Development Lifecycle (SDLC). Ability to explain technical concepts to non-technical clients Professional Certifications: SAFe for Teams certification (preferred) Soft Skills: Excellent analytical and problem-solving skills Excellent leadership and critical thinking abilities Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills Ability to deal with ambiguity and prioritize Ability to influence and drive to an intended outcome Ability to hold team members accountable to commitments Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. .

Job Title: AI/ML Engineer Job Type: Full-time Department: Artificial Intelligence / Machine Learning Reports To: AI/ML Engineering Manager About the Role: We are seeking a skilled AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will design, develop, and deploy machine learning models and AI algorithms that power data-driven applications. You will collaborate with data scientists, software engineers, and business stakeholders to implement cutting-edge AI solutions that provide tangible value to the organization. The ideal candidate will have a deep understanding of machine learning, data modeling, and AI technologies, along with experience in building end-to-end solutions. You should be passionate about solving complex problems, driving innovation, and working in a collaborative environment. Responsibilities: Design, develop, and deploy machine learning models for predictive analytics, automation, and optimization. Build and maintain data pipelines for AI applications, ensuring that data is clean, reliable, and ready for analysis. Apply advanced AI/ML techniques such as deep learning , reinforcement learning , and natural language processing (NLP) to solve real-world problems. Collaborate with data scientists and software engineers to integrate AI models into production systems and applications. Perform exploratory data analysis (EDA) and feature engineering to identify meaningful patterns and insights from large datasets. Optimize model performance and scalability through techniques such as hyperparameter tuning, parallel processing, and cloud-based model deployment. Contribute to the development of AI/ML frameworks and tools to improve the efficiency and effectiveness of the team. Stay up to date with the latest trends, research, and advancements in AI/ML technologies. Mentor junior engineers and support their growth in the AI/ML domain. Communicate technical findings and results to both technical and non-technical stakeholders. Requirements: 4-10 years of experience in AI/ML engineering or related fields. Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow , PyTorch , Keras , Scikit-learn ). Solid understanding of machine learning algorithms, deep learning , NLP , and reinforcement learning . Experience with data preprocessing, feature engineering, and working with large datasets. Hands-on experience with cloud platforms (e.g., AWS , Azure , Google Cloud ) for model deployment and management. Proficiency in SQL and experience with NoSQL databases for data retrieval. Knowledge of model evaluation metrics, cross-validation, and performance optimization techniques. Familiarity with CI/CD pipelines for deploying machine learning models. Experience with data visualization and communication of results to stakeholders. Strong problem-solving abilities and a passion for working on complex AI challenges. Ability to work independently as well as collaborate effectively in a team environment.

Job Title: AI/ML Engineer Job Type: Full-time Department: Artificial Intelligence / Machine Learning Reports To: AI/ML Engineering Manager About the Role: We are seeking a skilled AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will design, develop, and deploy machine learning models and AI algorithms that power data-driven applications. You will collaborate with data scientists, software engineers, and business stakeholders to implement cutting-edge AI solutions that provide tangible value to the organization. The ideal candidate will have a deep understanding of machine learning, data modeling, and AI technologies, along with experience in building end-to-end solutions. You should be passionate about solving complex problems, driving innovation, and working in a collaborative environment. Responsibilities: Design, develop, and deploy machine learning models for predictive analytics, automation, and optimization. Build and maintain data pipelines for AI applications, ensuring that data is clean, reliable, and ready for analysis. Apply advanced AI/ML techniques such as deep learning , reinforcement learning , and natural language processing (NLP) to solve real-world problems. Collaborate with data scientists and software engineers to integrate AI models into production systems and applications. Perform exploratory data analysis (EDA) and feature engineering to identify meaningful patterns and insights from large datasets. Optimize model performance and scalability through techniques such as hyperparameter tuning, parallel processing, and cloud-based model deployment. Contribute to the development of AI/ML frameworks and tools to improve the efficiency and effectiveness of the team. Stay up to date with the latest trends, research, and advancements in AI/ML technologies. Mentor junior engineers and support their growth in the AI/ML domain. Communicate technical findings and results to both technical and non-technical stakeholders. Requirements: 4-10 years of experience in AI/ML engineering or related fields. Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow , PyTorch , Keras , Scikit-learn ). Solid understanding of machine learning algorithms, deep learning , NLP , and reinforcement learning . Experience with data preprocessing, feature engineering, and working with large datasets. Hands-on experience with cloud platforms (e.g., AWS , Azure , Google Cloud ) for model deployment and management. Proficiency in SQL and experience with NoSQL databases for data retrieval. Knowledge of model evaluation metrics, cross-validation, and performance optimization techniques. Familiarity with CI/CD pipelines for deploying machine learning models. Experience with data visualization and communication of results to stakeholders. Strong problem-solving abilities and a passion for working on complex AI challenges. Ability to work independently as well as collaborate effectively in a team environment.

Job Title: AI/ML Engineer Job Type: Full-time Department: Artificial Intelligence / Machine Learning Reports To: AI/ML Engineering Manager About the Role: We are seeking a skilled AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will design, develop, and deploy machine learning models and AI algorithms that power data-driven applications. You will collaborate with data scientists, software engineers, and business stakeholders to implement cutting-edge AI solutions that provide tangible value to the organization. The ideal candidate will have a deep understanding of machine learning, data modeling, and AI technologies, along with experience in building end-to-end solutions. You should be passionate about solving complex problems, driving innovation, and working in a collaborative environment. Responsibilities: Design, develop, and deploy machine learning models for predictive analytics, automation, and optimization. Build and maintain data pipelines for AI applications, ensuring that data is clean, reliable, and ready for analysis. Apply advanced AI/ML techniques such as deep learning , reinforcement learning , and natural language processing (NLP) to solve real-world problems. Collaborate with data scientists and software engineers to integrate AI models into production systems and applications. Perform exploratory data analysis (EDA) and feature engineering to identify meaningful patterns and insights from large datasets. Optimize model performance and scalability through techniques such as hyperparameter tuning, parallel processing, and cloud-based model deployment. Contribute to the development of AI/ML frameworks and tools to improve the efficiency and effectiveness of the team. Stay up to date with the latest trends, research, and advancements in AI/ML technologies. Mentor junior engineers and support their growth in the AI/ML domain. Communicate technical findings and results to both technical and non-technical stakeholders. Requirements: 4-10 years of experience in AI/ML engineering or related fields. Strong proficiency in Python and machine learning frameworks (e.g., TensorFlow , PyTorch , Keras , Scikit-learn ). Solid understanding of machine learning algorithms, deep learning , NLP , and reinforcement learning . Experience with data preprocessing, feature engineering, and working with large datasets. Hands-on experience with cloud platforms (e.g., AWS , Azure , Google Cloud ) for model deployment and management. Proficiency in SQL and experience with NoSQL databases for data retrieval. Knowledge of model evaluation metrics, cross-validation, and performance optimization techniques. Familiarity with CI/CD pipelines for deploying machine learning models. Experience with data visualization and communication of results to stakeholders. Strong problem-solving abilities and a passion for working on complex AI challenges. Ability to work independently as well as collaborate effectively in a team environment.

Lead Engineer- NLP: Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development and work-life balance. About Innovation and Technology Centre (ITC) Our Innovation and Technology Centre specializes in creating modular solutions to meet clients' specific needs. As a member of the team, you will have the opportunity to develop and implement digital products, platforms, and tools specifically designed for research, analytics, and data management domains. We are at the forefront of technological advancements, and our AI efforts rely on our larger platform called AI for Research and Analytics (AIRA). What you will be doing at Evalueserve Building and implementing advanced machine learning (ML) and deep learning (DL) algorithms and models Applying different natural language processing (NLP) techniques to problems such as text classification, text summarization, questions and answers, information retrieval, knowledge extraction, and design of conversational bots by using traditional and generative AI techniques Contributing to the design and development of enterprise-grade generative AI applications, including but not limited to advanced RAG, VDB optimization, LLM evaluation, and finetuning Designing and developing a practical and analytical approach while maintaining a focus on aspects such as data quality and availability, feasibility, scalability, and turnaround time. What were Looking for At least a bachelors / master`s degree in computer science, information systems, statistics, mathematics, or a related field Strong understanding of data science processes, such as data investigation, cleaning, minimal viable models, and nuances related to the deployment and enhancement. About 8-12 years of experience in NLP, ML, and DL More than one year of experience in generative AI application development at the production level. Demonstrated ability in developing NLP / ML / DL / generative AI project solutions. Hands-on experience and deep theoretical expertise in NLU, NLP, NLG, and common NLP algorithms and DL architectures such as Transformers, BERT, word2vec, FastText, and ELMO Hands-on experience in building and handling product-level delivery of knowledge graphs, ranking algorithms, recommendation engines, etc In-depth knowledge and experience in handling open-source frameworks, such as TensorFlow, PyTorch, and Hugging face Transformers. Expert-level programming experience in Python / C++ Familiarity with general software design concepts, product development lifecycles, and ML model deployment best practices Experience in analyzing large amounts of user-generated content and process data in large-scale environments by using cloud infrastructure Proficiency in scraping data from external sources and developing architectures to store and organize the information for generating insights Experience in contributing to open-source software projects Experience and tenacity to go beyond available tools / techniques to design solutions in line with product requirements Ability to communicate with internal and external stakeholders and convey complex information clearly and concisely Understanding of the cultural differences and work styles in a global environment. Follow us on https://www.linkedin.com/compan y/evalueserve/ Click here to learn more about what our Leaders talking on achievements AI-powered supply chain optimization solution built on Google Cloud. How Evalueserve is now Leveraging NVIDIA NIM to enhance our AI and digital transformation solutions and to accelerate AI Capabilities . Know more about ho w Evalueserve has climbed 16 places on the 50 Best Firms for Data Scientists in 2024! Want to learn more about our culture and what its like to work with us? Write to us at: careers@evalueserve.com Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances. Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure all information is factual and submitted on time. For any assistance, your TA SPOC is available to support you.

Job Description Develop professional logistics to improvise student performance. Guide, lead and mentor students in research projects. Evaluate, monitor and mentor student academic progress. Create, innovate and implement career-enhancement programs and activities. Supervise and support teaching assistants. Participate in departmental and college activities. Serve and support functional activities of departmental committees. Assess, review and evaluate student activities and progress. Assist and support senior professors in their day-to-day tasks and functions. Develop and implement innovative instructional methods.

About Us The Apeejay Stya University is a seat of global learning that offers rich opportunities for innovative teaching-learning, creativity and research across disciplines. It aims to bring about transformation of the society through value-based education, man-making and nation-building by blending together the dual identities of a technology and research-based university with a liberal arts institution. Established by the Apeejay Stya Education Foundation in the state of Haryana [under Act No. 10 of the Haryana Private Universities (Amendment) Act 2010], the ASU provides students not only 'education for living and livelihood' but also 'education for life' and empower learners with a fundamental foundation in leadership and professional skills to face the challenges of the new liberalized global economy. Job Responsibilities : Leading the school in coordination with HOD and ensuring objectives of the school and university are met. Carry a load of courses in various topics pertaining to School of Engineering & Technology Evaluating existing courses, its relevance and suggesting improvements within guidelines. Develop and implement student learning outcomes and assessment activities at the program and course levels. Based on industry requirements conceive, design, develop and implement new courses ensuring all regulatory requirements. Manage enrollment to maximize use of faculty loads and space resources, especially general purpose classrooms and labs. Encourage and enhance research within the school. Encourage team to focus and guide research students and/or projects. Sharing and adopting best practice from other schools. Evaluate assessment criteria and suggest changes as and when required. Lead regulatory audits and other investigations as and when required. Responsible for upholding culture through communication, positive approach and inculcating and maintaining strong ethical standards. Actively participate in admission process from inception to execution in conjunction with the relevant stake holders. Advise students in the major, mentoring students who are completing their final projects and providing career guidance to those determining their major or specialization. Stay up to date on advancements in the field and new research being produced in your area of expertise. Serve on department committees as assigned by the Dean / Vice Chancellor and help ensure all committee goals are met in a timely manner. Candidate should have done good amount of Research and publications in leading journals in the field of Computer Science / IT. Expertise in Radio Frequency, Antenna Design, Microwave imaging and Internet of things. Should be well acquainted with the various Accreditation Agencies and Statutory Bodies and the procedures and updated with latest trends of the field. Education: Ph.D. Degree in Computer Science Engineering (CSE) / Information Technology (IT) (Mandatory) B.Tech & M.Tech degree in Computer Science Engineering (CSE) / Information Technology (IT) with First Class or with equivalent Grade or CGP. Experience: Minimum 10 years of industry and teaching experience. Salary is not a constrain for the right candidate.

Role Overview: In Staff QA engineer role, the person will own complete quality, validation and delivery of security solutions. About the role: Work directly with senior management, peers and architects to develop practices which lead to the highest quality products and drive transformation change. The individual should have experience in the definition, design, implementation, development of products in the cloud and onprem technologies. Act as a technical mentor for the team regarding security, performance, deployment, troubleshooting, and effective testing of the full interaction the Cloud with our platform. Deliver product releases that meet the timeline, quality and costs for the projects and deliverable elements. Do test planning, Test Case authoring, Test Coverage for various product/releases. Perform functional validation of solutions, features and bug-fixes. Share detailed reports for work accomplished, details of feature implemented, validation done, etc., and present to all stakeholders. About you: The ideal candidate shall have a Bachelors degree in Computer Science, or related field 10+ years of related software engineering experience with at least 5+ years in testing and automation. Experience in Java, Python for development of backend automation systems. Working knowledge of test management tools and quality process. Good at problem solving and scripting. Knowledge in C++ coding and debugging skills. Good knowledge of operating system fundamentals. Cloud Stack in any one of cloud platforms like AWS/Azure/GCP are preferred. Preferably having experience in the Security domain. Experience with technology infrastructure, storage, and virtualization. Ability to listen, adopt and influence are essentials. Ability to collaborate and work with multiple teams across different time-zones. Strong communication skills.

Job Title: Senior Machine Learning Engineer We also recognize the importance of closing the 4-million-person cybersecurity talent gap. We aim to create a home for anyone seeking a meaningful future in cybersecurity and look for candidates across industries to join us in soulful work. More at . Role Overview: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative Data Science and Engineering team. Reporting to the Data Science Director, you will play a critical role in building and scaling machine learning systems that power our cybersecurity products. You will work closely with data scientists and software engineers to design, develop, and deploy end-to-end ML pipelines, ensuring high performance and reliability in production. Your engineering expertise will directly contribute to solving complex challenges in areas such as threat detection, malware analysis, anomaly detection, and automated model workflows. About the role: As a Senior Machine Learning Engineer, you will be part of a high-impact team reporting to the Director of Data Science, focused on developing scalable, production-grade machine learning solutions to power cybersecurity products. Collaborate with data scientists and engineering teams to build and scale machine learning pipelines. Develop and deploy production-ready ML systems for use cases such as:Threat and attack detection,Threat hunting,Malware detection,Anomaly detection Build and optimize distributed data pipelines using Apache Spark and Python. Design and implement MLOps workflows including data preprocessing, model training, evaluation, and deployment. Monitor and retrain ML models based on feedback and performance in production. Develop model serving infrastructure for high availability, low latency, and scalability. Automate and streamline feature engineering, hyperparameter tuning, and CI/CD pipelines for ML models. Ensure model integration into security products with adherence to compliance and data governance standards. About you: You are an experienced ML Engineer with a strong foundation in software engineering and a passion for solving complex problems in the cybersecurity domain. Must-Have Qualifications: A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, with Mathematics/Statistics at undergraduate level 4-6 years of industry experience as a Machine Learning Engineer Advanced proficiency in Python and strong programming fundamentals Hands-on experience with Apache Spark or PySpark for distributed data processing Solid understanding of machine learning concepts and experience with ML libraries like scikit-learn, XGBoost, TensorFlow, or PyTorch. Experience in building, deploying, and monitoring end-to-end ML systems in production Familiarity with MLOps tools (e.g., MLflow, Kubeflow, SageMaker Pipelines). Proficiency in SQL and handling large-scale data Experience working with public cloud platforms (AWS, GCP, or Azure). Strong software engineering practices: Git, containerisation (Docker), testing, CI/CD Good to Have: Knowledge of Large Language Models (LLMs) such as GPT, BERT, LLaMA, or Falcon. Experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG)