3120 Artificial Intelligence Jobs - Page 36

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Throughout our 125-year history, Roche has grown into one of the world s largest biotech companies and a global supplier of transformative, innovative solutions across major disease areas. We are now entering an exciting new chapter of our digital transformation journey by embracing the power of Artificial Intelligence. In line with our Roche Group AI Strategy and our 10-Year Ambition to Transform our business with data & digital solutions, we are developing AI capabilities across all levels of the organization from EverydayAI, which enhances individual productivity, to Reshape initiatives, which reimagine business processes, to Big Ideas, which push the boundaries of what s possible in healthcare. We are looking for forward-thinking professionals to join Roche Informatics and help us bring this strategy to life. Pune continues to play the role of a Technology Acceleration Hub, building capabilities that drive digital innovation, including cutting-edge AI solutions that support Roche s mission to prevent, stop, or cure diseases with the highest societal burden. Our Expectations We are looking for a Software Engineer eager to develop and implement AI-powered solutions within Roches technology ecosystem. The ideal candidate should have a strong foundation in software development, a willingness to upskill in AI and Generative AI technologies, and the ability to integrate large language models (LLMs) into applications and software development processes (testing, refactoring, requirements management, deployment). Key Competencies & Skills AI Expertise Understanding of how LLMs work, their strengths, limitations, and practical applications. Experience in basic prompt engineering. Familiarity with direct LLM API usage (e.g., OpenAI API, SDKs). Conceptual understanding of RAG architecture. Hands-on experience with libraries to create basic LLM workflows (e.g., LangChain, LlamaIndex) and vector databases (e.g., Qdrant) is a plus. Basic understanding of NLP concepts such as tokens and embeddings. Software Development & Cloud Engineering: Strong programming skills in at least one language (e.g., Python, Go, TypeScript, Java, Kotlin) with a good understanding of tooling, ecosystem, and software development best practices. Experience with API usage and basic understanding of cloud-based AI deployments (AWS/Azure/GCP). Familiarity with AI software development tools (e.g., Github Copilot). DevOps Practices: Understanding of CI/CD pipelines and automation testing. Familiarity with GitHub and GitLab. Collaboration & Knowledge Sharing: Good communication skills in English (B2/C1 level) to work within cross-functional teams. Ability to collaborate with Engineers and potentially Data Scientists on AI-driven enhancements. Key Responsibilities Design, develop, and optimize custom applications, potentially incorporating AI-powered features within Roche s ecosystem. Integrate Large Language Models (LLMs) into custom applications, leveraging APIs and prompt engineering techniques, under guidance. Utilize cloud-based AI services (AWS, Azure, or GCP) to build basic AI-driven functionalities. Collaborate with internal teams to apply AI for the enhancement of custom applications. Contribute to identifying opportunities for AI to improve application functionality. Participate in knowledge sharing activities within the team. Example Projects You May Work On Integrating AI features into existing custom applications to improve user experience. Developing basic AI-powered tools to aid in application development. Assisting in the integration of AI into application workflows. What We Value Good analytical and problem-solving skills. Adaptability to learn about AI and work in Agile environments. Curiosity and a willingness to take ownership of tasks. Who we are . Let s build a healthier future, together. Roche is an Equal Opportunity Employer. "

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Throughout our 125-year history, Roche has grown into one of the world s largest biotech companies and a global supplier of transformative, innovative solutions across major disease areas. We are now entering an exciting new chapter of our digital transformation journey by embracing the power of Artificial Intelligence. In line with our Roche Group AI Strategy and our 10-Year Ambition to Transform our business with data & digital solutions, we are developing AI capabilities across all levels of the organization from EverydayAI, which enhances individual productivity, to Reshape initiatives, which reimagine business processes, to Big Ideas, which push the boundaries of what s possible in healthcare. We are looking for forward-thinking professionals to join Roche Informatics and help us bring this strategy to life. Pune continues to play the role of a Technology Acceleration Hub, building capabilities that drive digital innovation, including cutting-edge AI solutions that support Roche s mission to prevent, stop, or cure diseases with the highest societal burden. Our Expectations We are looking for a Software Engineer eager to develop and implement AI-powered solutions within Roches technology ecosystem. The ideal candidate should have a strong foundation in software development, a willingness to upskill in AI and Generative AI technologies, and the ability to integrate large language models (LLMs) into applications and software development processes (testing, refactoring, requirements management, deployment). Key Competencies & Skills AI Expertise Understanding of how LLMs work, their strengths, limitations, and practical applications. Experience in basic prompt engineering. Familiarity with direct LLM API usage (e.g., OpenAI API, SDKs). Conceptual understanding of RAG architecture. Hands-on experience with libraries to create basic LLM workflows (e.g., LangChain, LlamaIndex) and vector databases (e.g., Qdrant) is a plus. Basic understanding of NLP concepts such as tokens and embeddings. Software Development & Cloud Engineering: Strong programming skills in at least one language (e.g., Python, Go, TypeScript, Java, Kotlin) with a good understanding of tooling, ecosystem, and software development best practices. Experience with API usage and basic understanding of cloud-based AI deployments (AWS/Azure/GCP). Familiarity with AI software development tools (e.g., Github Copilot). DevOps Practices: Understanding of CI/CD pipelines and automation testing. Familiarity with GitHub and GitLab. Collaboration & Knowledge Sharing: Good communication skills in English (B2/C1 level) to work within cross-functional teams. Ability to collaborate with Engineers and potentially Data Scientists on AI-driven enhancements. Key Responsibilities Design, develop, and optimize custom applications, potentially incorporating AI-powered features within Roche s ecosystem. Integrate Large Language Models (LLMs) into custom applications, leveraging APIs and prompt engineering techniques, under guidance. Utilize cloud-based AI services (AWS, Azure, or GCP) to build basic AI-driven functionalities. Collaborate with internal teams to apply AI for the enhancement of custom applications. Contribute to identifying opportunities for AI to improve application functionality. Participate in knowledge sharing activities within the team. Example Projects You May Work On Integrating AI features into existing custom applications to improve user experience. Developing basic AI-powered tools to aid in application development. Assisting in the integration of AI into application workflows. What We Value Good analytical and problem-solving skills. Adaptability to learn about AI and work in Agile environments. Curiosity and a willingness to take ownership of tasks. Who we are A healthier future drives us to innovate. Together, more than 100 000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let s build a healthier future, together. Roche is an Equal Opportunity Employer. "

About Us Vegavid Technology - trusted technology partner, committed to delivering a comprehensive portfolio of innovative products, solutions, and consulting services. We specialize in empowering businesses with cutting-edge technologies, including Blockchain, Artificial Intelligence, AR/VR, the Metaverse, and other emerging digital platforms. Who We Are At Vegavid Technology, we are at the forefront of the digital revolution, offering expertise in: Blockchain Technology : Development of DApps (Decentralized Applications), DeFi (Decentralized Finance), wallets, cryptocurrency exchanges, NFT marketplaces, ICO/IDO solutions, and tokenization of real-world assets (RWA). AI and Machine Learning : AI agent development, Gen-AI, custom image, 3D object, and video generation, AI models, GPT chatbots, image processing, video analytics, data analytics, and advanced NLP solutions. Metaverse and AR/VR : Innovative applications in virtual worlds, the metaverse, 3D object generation, and immersive technologies. Our Product Portfolio We deliver enterprise-grade solutions tailored to modern business needs, including: AI agents Cryptocurrency exchange platforms ICO Launchpads with integrated KYC, AML, and marketing tools Smart trading platforms powered by ML White-label NFT marketplaces Real-time OCR systems for image and video analysis Comprehensive digital asset custody solutions Tokenization and RWA platforms Vegavid Technology is founded by IIT alumnus with extensive experience in the application of Machine Learning, Artificial Intelligence in the Finance Industry.We believe in providing the best products and services by harnessing our team of experts in the best possible way to reach our goals in the mentioned timelines. Careers: We are looking for: Company Website: https://www.vegavid.com Linkedin: https: / / www.linkedin.com / company / vegavid-technology Type of Position: Work Experience: Location: Compensation: Personal information Name Email Phone Phone Only allowed type .doc, .docx, .pdf (maximum file size 10MB) Applying for Post Careers Notice Period Select Notice Period Total work experience: Years: Select no of years Months: Select no of months Why should we hire you ?

1. He should be B-Tech in instrumentation/ E&TC or Electronics. 2. He should have four to five years Experience in servicing/ maintenance/ commissioning of DCS, PLC and field instruments. Are you being referred to one of our roles? If so, ask your connection at Yokogawa about our Employee Referral process!

AI Python Data Science Engineer Hot Openings As a data science and analytics engineer, you will be involved in developing computer visions and data algorithms. Artificial intelligence development and deep machine learning implementations will be part of your development and deployment to the cloud. Experience for senior positions: 4 - 5+ years Experience for junior positions: 2 - 3 years Required Tech Skills Experience in Python (must have) and/or R language. Experience with computer vision algorithms and data science. Experience in deep machine learning models. Well-versed in data visualization techniques. Troubleshoot and resolve code issues. Collaborate with data engineers to design and integrate the data sources. Experience in handling multiple priorities with Agile development. Experience with Git and working in a collaborative and distributive team environment. Required Soft Skills Excellent listening, verbal, and written communication skills. Strong interpersonal & customer relationship skills. Strong analytical, problem solving, and decision-making skills. Documentation skills. Apply now Hot Openings PHP + Node.js Developers Full Time Tech Development Experience 4 - 6+ years

Making a career change is a big decision. Why consider Revionics? Join a team of remarkable colleagues who are deeply committed to creating and delivering cutting-edge solutions for the global retail market. At Revionics, we are dedicated to helping you achieve and surpass your career aspirations. Youll enjoy access to industry-leading training programs, global development opportunities, and the chance to thrive within a diverse culture spanning offices in nine countries. Our inclusive culture is rooted in our Companys purpose: to make a difference for every colleague, every client, every day . Revionics sets the standard in retail pricing innovation by leveraging advanced artificial intelligence technologies, including predictive AI, conversational AI, generative AI, and agentic AI. These cutting-edge tools streamline the retail pricing lifecycle, driving measurable business success for our clients. Each year, our solutions enable pricing strategies for retail products that collectively generate over $3 trillion in revenue across leading grocery, health and beauty, DIY, and convenience retailers worldwide. We invite you to join us in bringing innovative solutions to market as part of the worldwide leader in retail pricing. Aptos market-leading platform drives the world s largest retailers in terms of their product pricing, promotion and merchandising decisions worldwide. Over 33,000 retail locations and $200+B in annual revenue across grocery, drug, convenience, general merchandise, discount, sporting goods stores, fashion, and eCommerce sites optimize with Aptos solutions. Aptos acquired Revionics in September 2020. Revionics is the worldwide leader in retail pricing, with 20 years of experience delivering AI/ML-driven retail pricing and promotions SaaS solutions for some of the largest and best-known retailers in the world, affecting over $500B revenue under management across more than 50 retailers. The AI team, within the Product Org, plays a central role at the company and is responsible for the GenAI (agents, conversational analytics etc.) and Predictive AI solutions (modeling, forecasting, optimization, etc) at Revionics. As an engineer on the Science team, you will be part of a skilled and diverse team while working with a mix of data scientists and engineers. You ll not only have the opportunity to learn/use state-of-art AI/GenAI and ML techniques but also implement/roll-out modern engineering frameworks and solve problems that have not been solved before. If you re someone who is ready to take on a challenge, drive change, and be part of an awesome team, this is the right role for you! About the Role: The engineer will be responsible for designing, building, deploying, and evolving the end-to-end AI/ML systems at Aptos (demand modeling and forecasting, optimization, GenAI agents, etc.) Who you are? You have a Bachelors/Master s degree in computer science, engineering, or related STEM field, or equivalent work experience Strong algorithmic problem-solving skills and an analytical mindset Hunger to learn new domains and complex code bases 4+ years of development experienced with Python or another similar language Experience with GCP (Kubernetes, Cloud functions, Cloud Run etc.) or similar Experience in containerization and container orchestration (Docker, Kubernetes, etc.) Experience enabling CI/CD pipelines using tools such as Gitlab, or similar Expertise in SQL and exposure to non-relational (MongoDB or similar) Exposure to ML frameworks such as Tensorflow, Pytorch, Scikit-Learn, Spark, would be a plus Able to communicate, collaborate, and work effectively in a distributed team. Can think about and write high quality code and can demonstrate that capability Enjoy tough technical challenges and are naturally intellectually curious Seek to drive change and influence others through clear and effective communication. What you ll do? Collaborate with the cross functional teams to help design, build and deliver the headless product offering Collaborate with the data scientists and other ML engineers to design, build and deliver the first agentic Revionics experience Design, build, test and maintain end-to-end AI forecasting, optimization and modeling services Dive deep into the underlying infra architecture to ensure we are building the right way Work with product, engineers, and data scientists to translate ideas into new products, services and features Mentor junior engineers and continually improve our technical stack and processes We also look for Passion Initiative and a Pioneering Spirit Quality orientation Resourcefulness and application Are you the person we re looking for? Big picture thinker with laser focus. You have a unique ability to see both the forest and the trees. It s what sets you apart from the rest. You start with a good understanding of the broader strategy, zoom in to assess one particular aspect of that strategy, and then zoom back out to see how changes to that particular area will affect the broader process. Expert relationship cultivator. Product managers think you re a good partner -- because you are. Developers feel you respect their opinions -- because you do. You re a true people person, a natural collaborator, and a highly sought-after resource. Quality orientation. You have proven success at writing quality user stories and analysis deliverables through the application of established criteria like INVEST and SMART. Your work is thoughtful, timely and valuable to the team. Resourcefulness and application. At Aptos, we have a pioneering spirit -- when we have questions, we find answers; when we re faced with challenges, we find solutions. We turn to a variety of resources, including our own colleagues, our professional network, the Internet, articles and books -- whatever helps us get the job done. But it s not just about using a variety of resources to gain knowledge -- it s also about applying that knowledge to other areas of the job or business where it might make sense We offer a competitive total rewards package including a base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. By submitting an application for this job, you acknowledge that any personal data or personally identifiable information that you provide to us will be processed in accordance with our Candidate Privacy Notice .

We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and deployment of advanced AI systems. You will work on cutting-edge machine learning models, natural language processing, computer vision, and AI infrastructure to solve real-world problems and drive innovation across our products and services. Key Responsibilities: Design, develop, and deploy scalable AI/ML models for production environments. Lead end-to-end AI project lifecycles from data collection and preprocessing to model training, evaluation, and deployment. Collaborate with cross-functional teams including data scientists, software engineers, and product managers. Optimize model performance and ensure robustness, fairness, and explainability. Stay current with the latest research and advancements in AI and machine learning. Mentor junior engineers and contribute to building a strong AI engineering culture. Required Qualifications: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred). 5+ years of experience in AI/ML engineering with a strong portfolio of deployed models. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Experience with cloud platforms (AWS, Azure) and MLOps tools. Strong understanding of data structures, algorithms, and software engineering principles. Excellent problem-solving and communication skills. Preferred Qualifications: Experience with LLMs, RAG, or agentic AI (Crew AI) systems. Familiarity with vector databases, prompt engineering, and AI safety practices. Contributions to open-source AI projects or published research papers. Experience with real-time inference systems and edge AI.

In this role, your primary responsibilities include implementing, configuring, and supporting application security and identity access management technology solutions including generate reports and threat identification The candidate needs to have experience in application security and identity management area. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Responsible for developing and maintaining application security and identify access management technology solutions including Sailpoint/IIQ, Okta Single Sign On, Azure AD, AWS SSO, Cloudflare Web application firewall, penetration testing, developing and maintaining internally developed Python tools and utilities. Identify and develop integration opportunities between security solutions and automation but not exclusively. Work with virtual team/management to collect and prioritize system requirements, develop delivery plans and meet aggressive deadlines, develop code, perform unit as well as system integration testing, participate in architecture of new capabilities and debug, troubleshoot production support. Coordinate quality assurance and testing with users of the new functionalities/capabilities. Generate reports for capability implementation Review report data and identify threats to discuss with management for mitigation Ensure that project issues are communicated in a timely and effective manner Other duties as assigned. To ensure you re set up for success, you will bring the following skillset & experience: Experiences in Sailpoint IIQ, Python and Java development (automation, integration, etc) and application security are must-have. Familiar with security tools in software development lifecycle as well as Azure AD, AWS APIs/CLI, containers experiences are nice to have. Knowledge of Artificial Intelligence learning model Ability to work with little supervision as well as being a team player Excellent verbal, written, and interpersonal communication skills Experience working with remote teams 4 years + experience Should be willing to work in 12.30 PM to 9.30 PM shift

job requisition idJR1027526 Overall Responsibilities: Lead the development and implementation of projects using emerging technologies Mentor and guide team members to ensure the successful delivery of projects Identify and evaluate new technology solutions to improve business processes Collaborate with cross-functional teams to ensure alignment with the organization's overall strategy Stay up-to-date with the latest technological advancements and industry trends Skills: Strong expertise in emerging technologies such as blockchain, IoT, AI, etc. Strong technical knowledge of software development lifecycle Excellent problem-solving and critical thinking skills Good understanding of software architecture and design patterns Ability to lead and manage a team of technical experts Experience: At least 6+ years of experience in software development and leading technology projects Proven track record of delivering projects using emerging technologies Experience in mentoring and guiding junior team members Experience in working with cross-functional teams Day-to-Day Activities: Manage the development and delivery of projects using emerging technologies Provide technical guidance and mentorship to junior team members Collaborate with cross-functional teams to ensure alignment with the organization's overall strategy Evaluate and recommend new technology solutions to improve business processes Stay up-to-date with the latest technological advancements and industry trends Qualification: Bachelor's or Master's degree in Computer Science, Information Technology, or related field Relevant certifications in emerging technologies Soft Skills: Strong communication and leadership skills Ability to work well under pressure and meet tight deadlines Excellent interpersonal and team-working skills Ability to effectively communicate technical information to non-technical stakeholders Passionate about technology and a desire to stay up-to-date with the latest advancements.

job requisition idJR1027519 Overall Responsibilities: Lead the development and implementation of projects using emerging technologies Mentor and guide team members to ensure the successful delivery of projects Identify and evaluate new technology solutions to improve business processes Collaborate with cross-functional teams to ensure alignment with the organization's overall strategy Stay up-to-date with the latest technological advancements and industry trends Skills: Strong expertise in emerging technologies such as blockchain, IoT, AI, etc. Strong technical knowledge of software development lifecycle Excellent problem-solving and critical thinking skills Good understanding of software architecture and design patterns Ability to lead and manage a team of technical experts Experience: At least 5+ years of experience in software development and leading technology projects Proven track record of delivering projects using emerging technologies Experience in mentoring and guiding junior team members Experience in working with cross-functional teams Day-to-Day Activities: Manage the development and delivery of projects using emerging technologies Provide technical guidance and mentorship to junior team members Collaborate with cross-functional teams to ensure alignment with the organization's overall strategy Evaluate and recommend new technology solutions to improve business processes Stay up-to-date with the latest technological advancements and industry trends Qualification: Bachelor's or Master's degree in Computer Science, Information Technology, or related field Relevant certifications in emerging technologies Soft Skills: Strong communication and leadership skills Ability to work well under pressure and meet tight deadlines Excellent interpersonal and team-working skills Ability to effectively communicate technical information to non-technical stakeholders Passionate about technology and a desire to stay up-to-date with the latest advancements.

job requisition idJR1027505 Overall Responsibilities: Lead the development and implementation of projects using emerging technologies Mentor and guide team members to ensure the successful delivery of projects Identify and evaluate new technology solutions to improve business processes Collaborate with cross-functional teams to ensure alignment with the organization's overall strategy Stay up-to-date with the latest technological advancements and industry trends Skills: Strong expertise in emerging technologies such as blockchain, IoT, AI, etc. Strong technical knowledge of software development lifecycle Excellent problem-solving and critical thinking skills Good understanding of software architecture and design patterns Ability to lead and manage a team of technical experts Experience: At least 3+ years of experience in software development and leading technology projects Proven track record of delivering projects using emerging technologies Experience in mentoring and guiding junior team members Experience in working with cross-functional teams Day-to-Day Activities: Manage the development and delivery of projects using emerging technologies Provide technical guidance and mentorship to junior team members Collaborate with cross-functional teams to ensure alignment with the organization's overall strategy Evaluate and recommend new technology solutions to improve business processes Stay up-to-date with the latest technological advancements and industry trends Qualification: Bachelor's or Master's degree in Computer Science, Information Technology, or related field Relevant certifications in emerging technologies Soft Skills: Strong communication and leadership skills Ability to work well under pressure and meet tight deadlines Excellent interpersonal and team-working skills Ability to effectively communicate technical information to non-technical stakeholders Passionate about technology and a desire to stay up-to-date with the latest advancements.

job requisition idJR1027508 Overall Responsibilities: Experience with Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI. Knowledge of algorithms, object-oriented and functional design principles, and best-practice patterns Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Experience working with large data sets and writing efficient code capable of processing large data streams at speed. Skills: Machine Learning, Deep Learning, Computer Vision, NLP Strong hands-on experience in AI/ML/Data Science, including machine learning algorithms, deep learning, NLP, computer vision, etc. Knowledge of programming languages such as Python, R, SQL, etc. Experience with AI/ML/Data Science tools and frameworks such as TensorFlow, PyTorch, etc. Excellent problem-solving skills and ability to find creative solutions to complex data science problems. Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and clients Experience: Minimum 8-12 years of experience in AI/ML/Data Science, with at least 8+ years in a leadership role Proven track record of successfully delivering AI/ML/Data Science projects Experience in mentoring and leading a team of AI/ML/Data Science professionals Day-to-Day Activities: Lead AI/ML/Data Science projects, ensuring successful delivery Mentor and guide junior team members Collaborate with cross-functional teams to provide subject matter expertise in AI/ML/Data Science Stay updated with latest AI/ML/Data Science trends and technologies Identify and evaluate new business opportunities in AI/ML/Data Science Qualification: Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field Soft Skills: Excellent leadership and team management skills Strong interpersonal and communication skills Ability to work in a fast-paced and dynamic environment Good negotiation and stakeholder management skills Passionate about AI/ML/Data Science and staying updated with latest trends and technologies.

job requisition idJR1027430 Overall Responsibilities: Lead the development and implementation of projects using emerging technologies Mentor and guide team members to ensure the successful delivery of projects Identify and evaluate new technology solutions to improve business processes Collaborate with cross-functional teams to ensure alignment with the organization's overall strategy Stay up-to-date with the latest technological advancements and industry trends Skills: Strong expertise in emerging technologies such as blockchain, IoT, AI, etc. Strong technical knowledge of software development lifecycle Excellent problem-solving and critical thinking skills Good understanding of software architecture and design patterns Ability to lead and manage a team of technical experts Experience: At least 5+ years of experience in software development and leading technology projects Proven track record of delivering projects using emerging technologies Experience in mentoring and guiding junior team members Experience in working with cross-functional teams Day-to-Day Activities: Manage the development and delivery of projects using emerging technologies Provide technical guidance and mentorship to junior team members Collaborate with cross-functional teams to ensure alignment with the organization's overall strategy Evaluate and recommend new technology solutions to improve business processes Stay up-to-date with the latest technological advancements and industry trends Qualification: Bachelor's or Master's degree in Computer Science, Information Technology, or related field Relevant certifications in emerging technologies Soft Skills: Strong communication and leadership skills Ability to work well under pressure and meet tight deadlines Excellent interpersonal and team-working skills Ability to effectively communicate technical information to non-technical stakeholders Passionate about technology and a desire to stay up-to-date with the latest advancements.

job requisition idJR1027361 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 Required Proficiency: Python (core librariesTensorFlow, PyTorch, Hugging Face transformers, etc.) Cloud platformsAzure, AWS, Google Cloud (familiarity with AI/ML services) ContainerizationDocker, Kubernetes Version controlGit Data management toolsSQL, NoSQL databases (e.g., MongoDB) Model deployment and MLOps toolsMLflow, 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 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.

job requisition idJR1027352 Job Summary Synechron is seeking an analytical and innovative Senior Data Scientist to support and advance our data-driven initiatives. The ideal candidate will have a solid understanding of data science principles, hands-on experience with AI/ML tools and techniques, and the ability to interpret complex data sets to deliver actionable insights. This role contributes to the organizations strategic decision-making and technology innovation by applying advanced analytics and machine learning models in a collaborative environment. Software Required Skills: Python (including libraries such as pandas, scikit-learn, TensorFlow, PyTorch) proficiency in developing and deploying models R (optional, but preferred) Data management tools (SQL, NoSQL databases) Cloud platforms (preferably AWS or Azure) for data storage and ML deployment Jupyter Notebooks or similar interactive development environments Version control tools such as Git Preferred Skills: Big data technologies (Spark, Hadoop) Model deployment tools (MLflow, Docker, Kubernetes) Data visualization tools (Tableau, Power BI) Overall Responsibilities Analyze and interpret large and complex data sets to generate insights for business and technology initiatives. Assist in designing, developing, and implementing AI/ML models and algorithms to solve real-world problems. Collaborate with cross-functional teams including data engineers, software developers, and business analysts to integrate models into production systems. Stay current with emerging trends, research, and best practices in AI/ML/Data Science and apply them to ongoing projects. Document methodologies, modeling approaches, and insights clearly for technical and non-technical stakeholders. Support model validation, testing, and performance monitoring to ensure accuracy and reliability. Contribute to the development of data science workflows and standards within the organization. Performance Outcomes: Accurate and reliable data models that support strategic decision-making. Clear documentation and communication of findings and recommendations. Effective collaboration with technical teams to deploy scalable models. Continuous adoption of best practices in AI/ML and data management. Technical Skills (By Category) Programming Languages: Essential: Python (best practices in ML development), SQL Preferred: R, Java (for integration purposes) Databases/Data Management: SQL databases, NoSQL (MongoDB, Cassandra) Cloud data storage solutions (AWS S3, Azure Blob Storage) Cloud Technologies: AWS (S3, EC2, SageMaker, Lambda) Azure Machine Learning (preferred) Frameworks & Libraries: TensorFlow, PyTorch, scikit-learn, Keras, XGBoost Development Tools & Methodologies: Jupyter Notebooks, Git, CI/CD pipelines Agile and Scrum processes Security Protocols: Best practices in data security and privacy, GDPR compliance Experience 8+ years of professional experience in AI, ML, or Data Science roles. Proven hands-on experience designing and deploying ML models in real-world scenarios. Demonstrated ability to analyze complex data sets and translate findings into business insights. Previous experience working with cloud-based data science solutions is preferred. Strong portfolio showcasing data science projects, models developed, and practical impact. Alternative Pathways: Candidates with extensive research or academic experience in AI/ML can be considered, provided they demonstrate practical application of skills. Day-to-Day Activities Conduct data exploration, cleaning, feature engineering, and model development. Collaborate with data engineers to prepare data pipelines for model training. Build, validate, and refine machine learning models. Present insights, models, and recommendations to technical and business stakeholders. Support deployment of models into production environments. Monitor model performance and iterate to improve effectiveness. Participate in team meetings, project planning, and reviewing progress. Document methodologies and maintain version control of codebase. Qualifications Bachelors degree in Computer Science, Mathematics, Statistics, Data Science, or a related field; Masters or PhD highly desirable. Evidence of relevant coursework, certifications, or professional training in AI/ML. Professional certifications (e.g., AWS Certified Machine Learning Specialty, Microsoft Certified Data Scientist) are a plus. Commitment to ongoing professional development in AI/ML methodologies. Professional Competencies Strong analytical and critical thinking to solve complex problems. Effective communication skills for technical and non-technical audiences. Demonstrated ability to work collaboratively in diverse teams. Aptitude for learning new tools, techniques, and technologies rapidly. Innovation mindset with a focus on applying emerging research. Strong organizational skills to manage multiple projects and priorities.

Drive enterprise sales of Cybersecurity, Blockchain, AI & IT solutions to corporate/ PSUs. Develop sales plans, manage OEM relationships, execute account mining, upselling & receivables. Ensure seamless client engagement and solution delivery Required Candidate profile B.Tech/ MBA 10+ Yrs exp in enterprise sales. Proven record in achieving sales targets in Cybersecurity, Blockchain, or AI fields. Strong knowledge & C-Level contacts in corporate & PSU Sectors.

Overview We are looking for a talented Generative AI Developer to join our dynamic team and contribute to our projects in transforming data into actionable insights. Responsibilities Design, develop, and implement generative AI models using Python and relevant libraries. Collaborate with data scientists to analyze data and improve model performance. Develop and maintain Flask APIs to serve AI models and facilitate integration with frontend applications. Utilize SQL for data manipulation and retrieval to support AI model training and evaluation. Engage in code reviews and contribute to best practices for software development. Stay updated with the latest trends and advancements in AI and machine learning technologies. Primary Skills: Proficient in Python (including libraries such as TensorFlow, PyTorch, or similar frameworks). Strong experience with SQL for database management and data querying. Familiarity with Generative AI tools and platforms (e.g., Gemini Pro). Experience in developing RESTful APIs using Flask. Secondary Skills: Understanding of machine learning concepts and algorithms. Familiarity with cloud computing services (e.g., AWS, Google Cloud) is a plus. Knowledge of data preprocessing and feature engineering techniques. Excellent problem-solving skills and ability to work in a collaborative team environment.

Overview Prodapt is looking for a Solution Designer / Business Analyst, who is a highly specialized professional who possesses in-depth knowledge and expertise in designing, implementing, managing, and troubleshooting networks. Need Solution designer, Business Analyst with telecom domain experience. Should have handson in Lead to Cash journey - Processes and Systems for Cellular Mobile service for Enterprise or End to End VPN service for Enterprise, Non-Terrestrial Network, Cloud PBX. Should have solid understanding on different Service Fulfilment journey metrics. Should have solid understanding of different OSS applications that support Lead to Cash journey. Should have conducted workshops to gather requirements from stakeholders, presenting different solution options to architects. Exposure to deriving insights using data, identify improvements in the journey/processes, propose solutions on the identified improvement areas and provide consulting service to the telecom service providers is desirable. Responsibilities *Following Network OSS applications knowledge is mandatory - Inventory management (Service inventory/Physical inventory), Provisioning & Activation Syetem, Element Management System, Network performance management (monitoring, collecting data, reporting), Order orchestration. Knowledge on Network Monitoring System, Test & Diagnostics application, Incident and Change management system is desirable. ServiceNow TNI module is mandatory (Telecom Network Inventory). Knowledge on Telecom Access/Backhaul network, different network topologies, different network nodes for 5G Mobile service or VPN services or Non-Terrestrial Network or Cloud PBX is mandatory. Knowledge on CRM/BPM systems is optional. Knowledge on Salesforce, ServiceNow is optional. Ability to use telecoms, IT and enterprise architecture best practice methodologies, processes, functions, and data maps. Technical specialist skills in software design and implementations, with experience of cloud and on-premises systems architecture gathering for creating OSS service and solution design; Accountable for ensuring project delivery of multi-domain OSS solutions. Ability to define and articulate complex architectures to non-technical stakeholders. Produce and support the production of High Level Designs, Low Level Designs, test plans, Deployment Guidelines and TTO`s. Work in cross-functional delivery teams including partners and vendors to support delivery throughout the delivery lifecycle and ensure solutions are delivered into production on time and meet the operational acceptance criteria. Work closely with Network Design, Systems Development, Testing team, E2E Solution Architects, Operations teams. Knowledge on APIs, Frameworx, Microservices, UML, TOSCA, NetConf/YANG, CI/CD, REST/Webservices, JSON, Postman, Agile Development is needed. Functional DomainsAdvanced knowledge in atleast one listed belowNetwork Service LCM, Network Orchestration/MANO, Telemetry/RCA 5G, AI/ML, OTT domain knowledge is a plus. Ensure the delivery of the solutions conforms to contractual outcomes and timescales. Support the Programme and Project Manager in project planning, risk and issue management and the budgeting process. Experience in working in Service Fulfilment related proposals. Performed the role of team lead (leading a team of atleast 4 members) is desirable. Ability to work with stakeholders to create and define problem statements and root cause analysis. Create and gather requirements from stakeholders, draw process diagrams, write user stories, ensuring documentation is complete, understandable, and unambiguous. Validation of the documentation with stakeholders. Capture and report back essential information from meetings. Familiar with Agile principles and in using JIRA or ServiceNow SPM tool knowledge. Use of collaboration and presentation tools like Mural. Minimum Educational LevelBachelor Degree. Min Experience (Years):8 Max Experience (Years):18

o Minimum of 4-6 years' experience in developing, testing, and deploying Python based applications on Azure/AWS platforms o Must have basic knowledge on concepts of Generative AI / LLMs / GPT o Deep understanding of architecture and work experience on Web Technologies o Python, SQL hands-on experience o Expertise in any popular python web frameworks e.g. flask, Django etc. o Familiarity with frontend technologies like HTML, JavaScript, REACT

Minimum 12+ years of relevant experience in building software applications in data and analytics field Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients’ journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice. Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives. Engaging in consultative selling with clients to grow/deliver business. Develop and operationalize scalable processes to deliver on large & complex client engagements. Extensive hands-on experience with Python, R, or Julia, focusing on data science and generative AI frameworks. Expertise in working with generative models such as GPT, DALL-E, Stable Diffusion, Codex, and MidJourney for various applications. Proficiency in fine-tuning and deploying generative models using libraries like Hugging Face Transformers, Diffusers, or PyTorch Lightning. Strong understanding of generative techniques, including GANs, VAEs, diffusion models, and autoregressive models. Experience in prompt engineering, zero-shot, and few-shot learning for optimizing generative AI outputs across different use cases. Expertise in managing generative AI data pipelines, including preprocessing large-scale multimodal datasets for text, image, or code generation.

Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT Software development experience in python is needed as backend for UI based applications Be a part of large delivery teams working on advanced projects when expert assistance is required. Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production. Create Technical documents, develop, test, and deploy data analytics processes using Python, SQL on Azure/AWS platforms Can interact with client on GenAI related capabilities and use cases Must have Skills: Minimum of 3-5years develop, test, and deploy Python based applications on Azure/AWS platforms Must have basic knowledge on concepts of Generative AI / LLMs / GPT Deep understanding of architecture and work experience on Web Technologies Python, SQL hands-on experience Expertise in any popular python web frameworks e.g. flask, Django etc. Familiarity with frontend technologies like HTML, JavaScript, REACT

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education BE/B.Tech in IT or Computer Master Diploma - Business Administration in Business Administration Work Experience Overall, 3-5years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey, like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc, using various data sources Experience using various patient-level data like APLD, LAAD, EMR, patient registries, Prescription data, formulary data, etc Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations. Experience in pharmaceutical sales and marketing analytics would be preferred Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL Pharma Commercial Know How Others Patient Data Analytics

Position Summary To be a driven business analyst who can work on complex Analytical problems and help the customer in better business decision making especially in the area of Pharma (domain). Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education Bachelor of Engineering in Statistics Work Experience Overall, 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc using various data sources Experience using various patient-level data like APLD,LAAD, EMR, patient registries, Prescription data, formulary data, etc Can work across a variety of projects from advanced analytics, ad-hoc analysis, and reporting Effectively communicate with onshore/ client (as per business needs) Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL MMx Forecasting Machine Learning Pharma Commercial Know How HEOR EPI and Economic Analysis HEOR Simulation Analysis Patient Data Analytics Know How Dataiku KNIME Others

Job Summary As a Technical Lead specializing in Generative AI and Python you will play a pivotal role in driving innovation and excellence within our team. With 10 to 12 years of experience you will leverage your expertise to develop cutting-edge solutions that align with our companys strategic goals. This office-based position offers the opportunity to work in a dynamic environment during day shifts contributing to impactful projects that enhance our technological capabilities. Responsibilities Lead the design and implementation of advanced Generative AI models to solve complex business challenges Oversee the development and optimization of Python-based applications to ensure high performance and scalability Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows Provide technical guidance and mentorship to junior developers fostering a culture of continuous learning and improvement Drive the adoption of best practices in software development ensuring code quality and maintainability Conduct thorough testing and validation of AI models to guarantee accuracy and reliability Analyze and interpret data to derive actionable insights that inform strategic decision-making Stay abreast of emerging trends in AI and Python technologies applying them to enhance project outcomes Develop comprehensive documentation for AI models and software applications to facilitate knowledge sharing Coordinate with stakeholders to understand project requirements and deliver solutions that meet business objectives Implement robust security measures to protect sensitive data and ensure compliance with industry standards Optimize algorithms and processes to improve efficiency and reduce computational costs Facilitate workshops and training sessions to upskill team members in AI and Python technologies Qualifications Possess a deep understanding of Generative AI techniques and their practical applications Demonstrate proficiency in Python programming with a strong track record of developing scalable solutions Have experience in leading technical projects and managing cross-functional teams Show expertise in data analysis and interpretation with the ability to translate findings into actionable strategies Exhibit familiarity with software development best practices and agile methodologies Hold a bachelors degree in Computer Science Engineering or a related field Display excellent problem-solving skills and the ability to think critically under pressure. Certifications Required Certified Python Developer AI and Machine Learning Certification

We are looking for a Senior Generative AI Engineer who is passionate about cutting-edge AI innovation and has significant hands-on experience in building and deploying Generative AI models. In this role, you will be responsible for designing, fine-tuning, and optimizing large language models (LLMs), implementing innovative GenAI solutions, and contributing to the architecture of AI-driven platforms that deliver real business value. You will collaborate with cross-functional teams including data scientists, machine learning engineers, product managers, and cloud infrastructure teams to build scalable, reliable, and secure AI systems. This is a high-impact position where you will directly influence the AI roadmap and innovation strategy. Key Responsibilities : - Design, develop, and fine-tune state-of-the-art Generative AI and LLM models tailored for various business use cases. - Build, integrate, and optimize solutions using transformer-based architectures (e.g., GPT, BERT, T5, LLaMA, Mistral). - Apply techniques such as fine-tuning, prompt engineering, RLHF (Reinforcement Learning from Human Feedback), and knowledge distillation to improve model performance. - Work with vector databases (e.g., FAISS, Pinecone, Weaviate) for implementing retrieval-augmented generation (RAG) pipelines. - Develop and deploy embedding models and integrate them into LLM pipelines. - Collaborate with engineering and product teams to deploy scalable AI systems using MLOps practices and CI/CD pipelines. - Leverage LangChain, Hugging Face Transformers, OpenAI APIs, and similar frameworks/tools to accelerate development. - Optimize model performance across different environments (cloud/on-premise). - Develop end-to-end pipelines, from data preprocessing to real-time inference and monitoring. - Ensure high standards of software quality, including testing, version control, code reviews, and documentation. - Stay up to date with the latest research in Generative AI and translate breakthroughs into production-ready solutions. Required Skills & Qualifications : - Experience : 7+ years in AI/ML, data science, or software engineering; at least 3 - 4 years in Generative AI/LLMs. - Advanced Python programming skills, including familiarity with object-oriented design and software engineering best practices. - Deep expertise in PyTorch, TensorFlow, Transformers (Hugging Face), LangChain, and OpenAI or Anthropic APIs. - Experience in LLM fine-tuning, parameter-efficient tuning methods (LoRA, PEFT), RLHF, and model evaluation. - Experience with embeddings, vector stores (FAISS, Pinecone), semantic search, and RAG systems. - Hands-on experience with AWS, GCP, or Azure; knowledge of MLOps tools (SageMaker, Vertex AI, MLflow, Kubeflow) for training, deploying, and monitoring models. - Familiarity with structured/unstructured data handling and integrating AI systems with SQL/NoSQL databases. - Strong analytical thinking, problem-solving ability, and a keen interest in research and innovation.