54 Aiml Concepts Jobs - Page 2

The Senior Associate-Data & ML Engineering will be responsible for validating and testing AI/ML models to ensure their accuracy and reliability. Working from the office during day shifts, you will need a deep understanding of AI/ML validation and testing processes to enhance data-driven solutions effectively. You will lead the validation and testing of AI/ML models, ensuring they meet quality standards and performance benchmarks. Collaborating with data scientists and engineers, you will oversee the implementation of AI/ML concepts to enhance model accuracy and efficiency. Developing comprehensive test plans and strategies, you will analyze test results to optimize AI/ML models continually. Your responsibilities will include providing technical expertise in AI/ML validation and testing, collaborating with cross-functional teams, and driving innovation in AI/ML testing processes. Additionally, you will ensure compliance with industry standards, document testing procedures, and communicate outcomes effectively to stakeholders. To excel in this role, you should possess a strong understanding of AI/ML concepts, expertise in validation and testing methodologies, and proficiency in AI/ML testing tools and frameworks. A background in data engineering and machine learning principles, along with problem-solving skills and attention to detail, will be essential. Keeping abreast of industry trends and advancements in AI/ML is also crucial. Certifications Required: Certified Machine Learning Specialist AI/ML Testing Certification,

The Senior ML Engineer role requires deep hands-on experience in AI/ML concepts, with a strong focus on working extensively with AWS and GCP. As a Senior ML Engineer, your key responsibilities will include designing, developing, and deploying machine learning models and algorithms. You will collaborate closely with data scientists and software engineers to seamlessly integrate ML solutions into various products. It is essential to conduct research regularly to keep abreast of the latest advancements in AI/ML technologies. Moreover, you will be responsible for optimizing and scaling ML models to enhance performance and efficiency. Providing technical guidance and mentorship to junior ML engineers will also be a crucial aspect of your role, ensuring their growth and development. Additionally, ensuring the robustness and reliability of ML systems will be a key focus area to uphold the quality and integrity of the solutions delivered. In terms of technical expertise, the ideal candidate should possess a Bachelor's degree in Computer Science, Data Science, or a related field, along with a minimum of 4 years of experience in machine learning and AI. Proficiency in AWS and GCP cloud services is essential for this role. Strong programming skills in Python or similar languages are required, along with experience working with ML frameworks such as TensorFlow, PyTorch, or similar tools. The ability to thrive in a dynamic, young environment with intercultural aspects is also crucial for success in this role.,

As a Business Intelligence Specialist at Schneider Electric, you will be an integral part of the Business Analytics, Automation & AI team, reporting directly to the Data Solutions Architect. Your role will involve utilizing your expertise in Tableau visualization, ETL development using tools such as Informatica, Tableau Prep, and Alteryx, advanced SQL knowledge, and Python-based data analysis and automation skills. Your passion for continuous learning and upskilling will be essential as you evolve into a strategic contributor capable of managing BI project scope and deliverables independently. Your primary responsibility will be to translate business requirements into actionable insights and scalable BI solutions. By developing and maintaining interactive Tableau dashboards and reports, optimizing ETL pipelines, performing advanced data analysis and automation using Python, and eliciting detailed business requirements, you will play a crucial role in aligning work with goal-oriented frameworks and organizational digital transformation initiatives. Key Responsibilities: - Design, develop, and maintain interactive, user-centric Tableau dashboards and reports for actionable business insights. - Develop and optimize ETL pipelines using Informatica, Tableau Prep, Alteryx, and strong SQL for accurate and timely data. - Perform advanced data analysis and automation using Python to enhance data workflows and reporting efficiency. - Elicit and document detailed business requirements, translating them into technical specifications and BI solutions. - Interface with stakeholders to manage expectations, scope, and deliverables of BI projects. - Continuously improve existing dashboards and BI processes based on user feedback and evolving business needs. - Collaborate with the Data Solutions Architect to develop skills in data architecture and solution design. - Foster a culture of continuous learning through certifications, training, and participation in digital transformation initiatives. - Manage BI projects independently, ensuring data accuracy, integrity, and governance compliance in all BI solutions. Required Skills & Qualifications: Technical Expertise: - Tableau for data visualization and dashboard development. - ETL development skills using Informatica, Tableau Prep, or Alteryx. - Proficiency in SQL for data querying, transformation, and integration. - Experience with Python for data analysis and automation scripting. - Familiarity with data warehousing concepts and data governance principles. - Knowledge of BI project management and AI/ML concepts. Certifications: - Relevant certifications in Tableau, Informatica, or ETL tools. - Certifications in Python programming, SQL, or data analytics are advantageous. Consulting Experience: - Experience in IT consulting, engaging with large enterprises in strategic data solutioning projects. - Strong stakeholder management and business needs assessment skills. Soft Skills: - Excellent communication and stakeholder management skills. - Strong analytical and problem-solving abilities. - Ability to work independently, manage multiple priorities, and deliver results under tight deadlines. - Ambitious, proactive, and passionate about continuous learning. - Strong business acumen and user-centric mindset in BI solution delivery. Preferred Experience: - Experience managing end-to-end BI projects and working with large enterprise clients. - Exposure to advanced data integration and automation tools. - Familiarity with cloud data platforms and participation in digital transformation initiatives. Educational Qualifications: - Masters/bachelors degree in engineering, Master of Computer Applications, or a related field. - A Masters in Business Administration (MBA) is a plus. This is a full-time position at Schneider Electric, where your expertise and passion for BI will contribute to the success of the team and the organization.,

As a Lead Vice President - Data and Analytics at HSBC International Wealth & Premier Banking, you will play a crucial role in driving marketing effectiveness strategies and analytics to enhance business performance. Your expertise in marketing analytics tools and techniques will be instrumental in identifying trends, areas of improvement, and opportunities to improve marketing performance and Return on Marketing Investment (ROMI). You will collaborate with marketing teams to define shared Objectives and Key Results (OKRs) and develop roadmaps to deliver agreed OKRs. By leveraging your subject matter expertise, you will lead the implementation of marketing effectiveness analytics, supporting stakeholder teams in identifying insights, creating hypotheses, and making recommendations to enhance marketing performance. In this role, you will be responsible for creating performance marketing effectiveness dashboards, guiding markets to improve campaign measurement, and driving in-depth analysis to identify trends and opportunities for the business. Your proficiency in AI/ML concepts and tools will enable you to improve marketing effectiveness through advanced analytics techniques. As a leader in the Data and Analytics community, you will build relationships with stakeholders, promote a culture of innovation, and ensure outstanding customer service. Your strong communication skills and collaborative approach will be essential in working with teams across regions and functions to drive marketing effectiveness and analytics expertise. To excel in this role, you should possess specialized expertise in marketing effectiveness, proven track record in delivering analytics insights in global organizations, and proficiency in marketing effectiveness tools such as Market Mix Modelling and campaign measurement approaches. Your analytical, numerical, and presentation skills, along with expertise in analytics tools like R/Python/SAS and data visualization tools, will be key assets in driving data-driven decision-making. Additionally, your role will involve collaborating with global, regional, and local marketing teams, promoting data-driven culture, and ensuring compliance with data governance standards. By continuously reviewing risks, driving process improvements, and aligning with data security protocols, you will contribute to the success of marketing effectiveness initiatives and support the broader goals of HSBC International Wealth & Premier Banking. Join HSBC and be part of a diverse and inclusive environment that values continuous professional development, flexible working arrangements, and opportunities for growth. Your contributions will help HSBC maintain its commitment to delivering exceptional customer experiences and achieving business objectives in the dynamic landscape of banking and financial services.,

ResourceDekho is a trusted provider of business solutions, IT services, and resource outsourcing, driving digital transformation for organizations worldwide. Our offerings include infrastructure & cloud management, monitoring & logging solutions, digital transformation, software development, and web development. We deliver exceptional results by tailoring our solutions to meet specific needs, ensuring seamless integration, enhanced performance, and unmatched efficiency. Connect with our team of experts and explore how Resourcedekho can empower your organization to thrive in the digital era. This is a full-time on-site role for a Lead Software Engineer - Product for a client located in Mohali district. The Lead Software Engineer will be responsible for overseeing product development, leading a team of software engineers, and ensuring high-quality software delivery. Day-to-day tasks include collaborating with cross-functional teams, managing product lifecycle, conducting data analytics, and implementing business analysis. The role also requires strong communication skills to effectively coordinate with stakeholders and team members. Lead the technical architecture design and roadmap planning. Collaborate with the Product Manager to ensure technical solutions align with business goals. Design and develop core platform modules like automation, chat assignment, analytics, and multi-agent features. Define and enforce best practices, coding standards, and documentation. Evaluate and integrate AI/LLM models, automation tools, and modern technologies. Ensure performance, security, and scalability of product deployments. Support QA and Customer Success teams in issue resolution and root cause analysis. Drive code reviews, technical discussions, and timely delivery of features. Document APIs, architecture, troubleshooting steps, and internal tools. Mentor junior developers, promote learning, and help grow technical capabilities across the team. Continuously monitor system performance and suggest optimizations. Bachelors degree in Computer Science, IT, or related field. Minimum 5+ years in software engineering, with at least 2+ years in a technical leadership role. Strong expertise in MEAN/MERN stack technologies. Solid experience in system design, product architecture, and low-level technical planning. Backend API development and UI integration experience. Familiarity with AWS, Docker, Kubernetes, and cloud-native environments. Understanding of AI/ML concepts and LLM integration. Version control tools: GitHub/GitLab. Project management tools: Notion or similar. Strong analytical and leadership skills. Passion for mentoring and growing engineering teams. Proactive and collaborative mindset.,

We are looking for a highly motivated Software Implementation Analyst to join our team in deploying Capillary's cutting-edge loyalty platform tailored for the healthcare sector. This role is perfect for individuals who excel at the intersection of technology, client engagement, and operational excellence. Collaborating with internal teams and external clients, you will be instrumental in translating complex business requirements into scalable, high-impact solutions. As a key member of the implementation team, your responsibilities will include end-to-end configuration, testing, and support to ensure seamless client onboarding and product adoption. You will work closely with clients and internal stakeholders to gather, validate, and document detailed business and technical requirements. Furthermore, you will configure and customize Capillary's loyalty solutions using internal tools, APIs, and frameworks to meet client-specific needs. Your role will also involve performing functional, regression, and user acceptance testing to guarantee high-quality, stable, and compliant implementations. You will provide proactive and reactive support during and after implementation, promptly resolving configuration-related issues. Additionally, you will collaborate cross-functionally with Engineering, QA, and Product teams to ensure alignment on timelines and deliverables. Maintaining clear, structured documentation covering configurations, decisions, workflows, and deployment checklists will be crucial. You will support data ingestion, transformation, and migration processes with a focus on accuracy, integrity, and security. Moreover, you will contribute to playbooks, process refinements, and reusable assets that enhance implementation speed and consistency. After deployment, you will gather client feedback and suggest product or configuration improvements where applicable. The ideal candidate will have a solid understanding of software implementation, integration, and RESTful APIs. Proficiency in Excel and familiarity with data visualization tools like Power BI or Looker is desirable. An awareness of databases, data structures, and data transformation principles is also essential. Knowledge of AI/ML concepts is a bonus, particularly for teams exploring automation and analytics at scale. To excel in this role, you should possess excellent analytical thinking, problem-solving, and project coordination abilities. Strong verbal and written communication skills are a must, enabling you to interface confidently with clients. The ability to work effectively in cross-functional and dynamic environments, coupled with high attention to detail and the capacity to handle multiple projects concurrently, will be key to success. The ideal candidate will have 3-6 years of experience in software configuration, implementation, or business analysis roles. Prior client-facing experience in a SaaS or product company is highly preferred. A Bachelor's degree in Engineering, Computer Science, Information Systems, or a related discipline is required.,

The AI Strategy & Project Management (PMO / Business Analyst) role based in Bengaluru, KA (Hybrid) for a duration of 12 Months (Possible extension) is a Contract Role. As a Business Analyst / PMO in this position, you will be responsible for leading and supporting AI-driven initiatives within the organization. Your main focus will be on AI implementation, governance, stakeholder coordination, and conducting business impact analysis, all while ensuring alignment with the organization's digital transformation strategy. To excel in this role, you should possess the following skills and experience: Technical & AI Expertise: - You should have at least 5 years of experience in AI strategy, business analysis, project management, or digital transformation roles. - A strong grasp of AI/ML concepts, analytics, and familiarity with emerging AI technologies is essential. - Previous experience working with AI frameworks, automation tools, and cloud platforms such as Azure, AWS, or GCP will be beneficial. - Knowledge of AI governance, ethical AI practices, and compliance standards is required. Project Management & Business Analysis: - A solid background in PMO methodologies, Agile frameworks (Scrum, SAFe), and project governance is necessary. - Proficiency in tools like JIRA, Confluence, Microsoft Project, or other project management tools is preferred. - Ability to define business requirements, create process workflows, and optimize AI-driven workflows is crucial for this role. Stakeholder & Change Management: - Excellent communication and stakeholder management skills are vital for engaging with business leaders, IT teams, and AI experts. - Experience in AI adoption strategies, change management, and user training is highly valued. Preferred Qualifications: - A Bachelors/Masters degree in Business, Computer Science, AI, or a related field is desirable. - Certifications in Project Management (PMP, PRINCE2, Agile, SAFe) or AI & Data Science (Azure AI, Google AI, etc.) are a plus. - Experience in manufacturing, industrial automation, or engineering environments will be an advantage. In summary, the AI Strategy & Project Management role requires a candidate with a strong background in AI strategy, project management, business analysis, and stakeholder management. If you have a passion for leveraging AI technologies to drive business impact and are adept at managing AI-driven initiatives, this could be the perfect opportunity for you.,

As a Senior Software Engineer in the Developer Experience and Productivity Engineering team at Coupa, you will play a crucial role in designing, implementing, and enhancing our sophisticated AI orchestration platform. Your primary responsibilities will revolve around architecting AI and MCP tools architecture with a focus on scalability and maintainability, developing integration mechanisms for seamless connectivity between AI platforms and MCP systems, and building secure connectors to internal systems and data sources. You will have the opportunity to collaborate with product managers to prioritize and implement features that deliver significant business value. Additionally, you will mentor junior engineers, contribute to engineering best practices, and work on building a scalable, domain-based hierarchical structure for our AI platforms. Your role will involve creating specialized tools tailored to Coupa's unique operational practices, implementing secure knowledge integration with AWS RAG and Knowledge Bases, and designing systems that expand capabilities while maintaining manageability. In this role, you will get to work at the forefront of AI integration and orchestration, tackling complex technical challenges with direct business impact. You will collaborate with a talented team passionate about AI innovation and help transform how businesses leverage AI for operational efficiency. Furthermore, you will contribute to an architecture that scales intelligently as capabilities grow, work with the latest LLM technologies, and shape their application in enterprise environments. To excel in this position, you should possess at least 5 years of professional software engineering experience, be proficient in Python and RESTful API development, and have experience in building and deploying cloud-native applications, preferably on AWS. A solid understanding of AI/ML concepts, software design patterns, system architecture, and performance optimization is essential. Additionally, you should have experience with integrating multiple complex systems and APIs, strong problem-solving skills, attention to detail, and excellent communication abilities to explain complex technical concepts clearly. Preferred qualifications include experience with AI orchestration platforms or building tools for LLMs, knowledge of vector databases, embeddings, and RAG systems, familiarity with monitoring tools like New Relic, observability patterns, and SRE practices, and experience with DevOps tools like Jira, Confluence, GitHub, or similar tools and their APIs. Understanding security best practices for AI systems and data access, previous work with domain-driven design and microservices architecture, and contributions to open-source projects or developer tools are also advantageous. Coupa is committed to providing equal employment opportunities to all qualified candidates and employees, fostering a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or performance evaluation are made fairly, in compliance with relevant laws and regulations. Please note that inquiries or resumes from recruiters will not be accepted. By applying to this position, you acknowledge that Coupa collects your application, including personal data, for managing ongoing recruitment and placement activities, as well as for employment purposes if your application is successful. You can find more information about how your application is processed, the purposes of processing, and data retention in Coupa's Privacy Policy.,

As a Senior User Experience Designer at SAP, you will have the opportunity to shape seamless, data-driven, and AI-enhanced experiences for our global customer base. Your role will involve designing world-class user experiences by collaborating with various stakeholders and aligning with SAP's design system. You will be responsible for delivering high-quality design artifacts, such as wireframes, prototypes, and design specifications, and communicating the user experience at different stages of the design process. In this role, you will drive implementation excellence by ensuring that developed interfaces adhere to design guidelines. You will leverage data from various sources, including telemetry, UX surveys, customer feedback, and user research, to inform your design decisions. Additionally, you will contribute to and facilitate user research and usability studies focused on enterprise and AI-powered scenarios. A key aspect of your role will be designing AI-infused user journeys that are ethical, consistent, explainable, and enhance human decision-making. You will also develop content that helps users understand AI predictions and recommendations, simplifying complex outputs into intuitive solutions. To qualify for this position, you should hold a Bachelors or Masters degree in Interaction Design, Product Design, Human-Computer Interaction (HCI), or related disciplines from a reputable design institute. You should have at least 7 years of experience in UX or product design, preferably in enterprise software. Proficiency in design tools such as Figma, Adobe XD, or Sketch is essential, along with the ability to create user journeys, wireframes, mockups, and interactive prototypes. A strong background in user research methodologies and an understanding of AI/ML concepts are highly desirable. Your success in this role will be driven by your self-motivated commitment to quality, strong customer focus, and enjoyment in solving complex problems. Excellent communication and collaboration skills are crucial, as you will be required to articulate design rationale clearly to diverse stakeholders. Joining the User Experience and User Assistance unit in SAP Supply Chain Management, you will be part of a diverse and talented team that values collaboration and innovation. Your work will contribute to the future of the Field Service industry, ensuring that FSM applications solve real-world problems with simplicity, transparency, and impact. At SAP, we are committed to delighting customers always, and we value inclusivity, health, well-being, and flexible working models to empower our employees to bring out their best.,

Screen Andragogy Platforms is a screen industries technology management company that empowers professionals, organizations, and educational institutions with integrated tools, insights, and services to streamline storytelling, analytics, and product development. By utilizing AI-driven platforms and expert-led support, the company drives value across content creation, market research, and strategic growth, ensuring that every story is told professionally, efficiently, and universally. Screen Andragogy Platforms is currently seeking a consultant with expertise in media finance, AI-powered modeling, and investment strategy to support clients in the entertainment sector. The consultant will be responsible for combining advanced financial analysis with AI-enhanced workflows to contribute to custom research, automated financial tools, and strategic financial documentation for clients. This position is structured for long-term cultural and strategic alignment, with full-time hiring not being offered initially. Candidates are required to complete a mandatory one-year internship or consulting residency, during which they will collaborate closely with leadership and clients to understand the company's mission, operating model, and value delivery. Selected candidates must be willing to travel with the company for at least 12 years to achieve cultural alignment, understand cross-market financing practices, and participate in live client engagements and real-time project iterations. Only after successful completion of this phase will candidates be evaluated for full-time positions based on value creation, strategic alignment, and contribution to the Screen Andragogy Platforms ecosystem. Key Responsibilities - AI-Driven Investment Analysis: Develop predictive ROI models for film, series, and digital content using AI-powered tools. - Capital Structuring & Deal Design: Structure slate financing, co-productions, and pre-sales using automated risk analysis, model tax incentives, and support strategic financial planning for media projects. - AI Agent Training & Customization: Design and train custom financial agents, build prompt workflows for automated financial reporting, and forecasting. - Research Services: Lead research projects for clients, deliver insights on funding strategy, profitability, and global market positioning. - Document Automation Support: Assist in developing AI-generated business plans, financial summaries, and pitch documents, ensure consistency and accuracy in financial models. - Industry Trend Monitoring: Stay informed on developments in AI finance, content monetization, and entertainment investment models, evaluate new financial technologies such as blockchain, NFTs, and decentralized funding in media. Qualifications - Background & Experience: Strong foundation in finance, economics, or data science, prior experience in media finance, investment analysis, or financial technology. - Technical Proficiency: Comfortable with AI/ML concepts, financial modeling using Excel, Python, or R, understanding of APIs, automated dashboards, and data visualization. - Core Competencies: Analytical thinking, clear communication, interest in the evolving intersection of media, AI, and capital markets. The recruitment process for this role is rigorous and structured, consisting of application and screening, technical assessment, interviews, and cultural fit evaluation to assess each candidate's technical capability, strategic thinking, and readiness for long-term contribution in the intersection of AI and media finance.,

As a Python AI/ML Developer with 4-5 years of experience, your main responsibility will be to design, develop, and maintain Python applications while ensuring code quality, efficiency, and scalability. You will collaborate with cross-functional teams to understand project requirements and deliver solutions that align with business objectives. Implementing AI/ML algorithms and models to solve complex problems and extract valuable insights from data will be a key part of your role. Additionally, you will be developing and maintaining RESTful APIs to integrate Python applications with other systems. It is essential to stay updated with the latest trends and technologies in Python development and AI/ML. To excel in this role, you should have a strong proficiency in Python programming, including object-oriented programming and design patterns. Experience with popular Python libraries and frameworks such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch is required. Knowledge of AI/ML concepts, algorithms, and techniques, including supervised and unsupervised learning, is crucial. Experience working with data pipelines and ETL processes is beneficial, and hands-on experience with chatbot applications is necessary. Excellent problem-solving and analytical skills are essential, along with the ability to work independently and as part of a team. Strong communication and documentation skills are also important. Preferred qualifications include experience with cloud platforms such as AWS, GCP, or Azure, knowledge of natural language processing (NLP) or computer vision, experience with machine learning deployment and operationalization, and contributions to open-source Python projects. Stay updated with the latest advancements in technology to enhance your skills and contribute effectively to the development of innovative solutions.,

You should have at least 2 years of experience in Python development and a solid understanding of AI/ML concepts with hands-on experience in frameworks like TensorFlow, PyTorch, or Scikit-learn. Additionally, you should be experienced in working with RESTful APIs, web frameworks such as Flask or Django, and data manipulation libraries like Pandas and NumPy. Proficiency in version control using Git is required, along with good problem-solving and communication skills. Your responsibilities will include developing, testing, and maintaining Python-based applications and APIs, integrating AI/ML models into production-grade systems, collaborating with data scientists, engineers, and product teams to build scalable solutions, designing and implementing data pipelines and automation tools, optimizing code for performance and scalability, and staying updated on industry trends and best practices in Python development and AI. Preferred qualifications for this position include experience deploying machine learning models in production, knowledge of cloud platforms such as AWS, GCP, or Azure, familiarity with containerization tools like Docker or Kubernetes, and a background in computer science, mathematics, or a related field. Sunfocus Solutions Private Limited, based in India, is a business solutions IT company with a team of over 100 technology experts providing world-class IT solutions to clients. Sunfocus Solutions is a Top Rated PLUS Agency on Upwork and delivers full mobile and web solutions for startups, small businesses, and large enterprises globally. The benefits offered by Sunfocus include cell phone reimbursement, commuter assistance, health insurance, internet reimbursement, leave encashment, life insurance, and work-from-home options. The education requirement for this position is a Bachelor's degree, and the job type is full-time and permanent. In addition to a competitive salary, the company provides benefits such as cell phone reimbursement, commuter assistance, health insurance, internet reimbursement, leave encashment, life insurance, and work-from-home options. The work schedule includes day and morning shifts, and bonuses like joining bonus, performance bonus, and yearly bonus are also offered. The ideal candidate for this position should be able to commute or relocate to Mohali, Punjab. Previous experience of 2 years in Python with AI knowledge is preferred for this role. The work location is in person at 1st floor, Plot No: C-127, Phase-8, Industrial Area, Sahibzada Ajit Singh Nagar, Punjab 160072.,

Are you seeking an exciting opportunity to be a part of a dynamic and expanding team in a fast-paced and challenging environment This unique role offers you the chance to collaborate with the Business within the Digital Transformation team. You will be expected to demonstrate advanced SQL skills and utilize intelligent automation programming tools. Your key responsibilities will include designing and implementing complex SQL queries for data extraction, transformation, and loading (ETL), as well as developing and deploying intelligent automation solutions to optimize data workflows. You will also be responsible for leading data integration projects, working closely with stakeholders to define data requirements, and ensuring data quality and integrity through rigorous testing and validation. Additionally, providing mentorship and guidance to junior team members will be an essential part of your role. To excel in this position, you should possess 10+ years of experience in data transformation and process automation, along with familiarity with data visualization and reporting tools. Knowledge of data science and AI/ML concepts would be advantageous. Advanced proficiency in SQL, expertise in intelligent automation programming tools such as Python and RPA tools, strong project management and leadership skills, excellent analytical and problem-solving abilities, as well as effective communication and collaboration skills are all necessary qualifications and capabilities for this role.,

As a Senior Software Engineer at BotPenguins AI chatbot & Agents platform, you will be a key contributor to the design, development, and optimization of our cutting-edge solutions. Your role will involve collaborating with cross-functional teams, including product managers, tech leads, and customer success teams, to build robust backend APIs, integrate with frontend applications, and enhance system performance. Additionally, you will be responsible for conducting code reviews, mentoring junior developers, and upholding high software quality standards. This position presents exciting opportunities to create impactful AI-driven solutions and shape the future of conversational automation. To excel in this role, you should hold a Bachelor's degree in Computer Science, IT, or a related field, along with 2-5 years of experience in software development. Your technical skills should include a strong understanding of MEAN/MERN Stack technologies, expertise in software architecture planning and low-level design, the ability to develop scalable and high-performance solutions, hands-on experience in backend API development and UI integration, familiarity with cloud platforms like AWS and containerization tools (Docker, Kubernetes), understanding of AI/ML concepts in development, and proficiency in version control and project management tools. In addition to technical skills, you are expected to possess soft skills such as a strong analytical mindset, leadership capabilities, and a passion for mentoring junior developers. Your day-to-day responsibilities will involve collaborating with the Product Team to implement technical solutions for new features, working closely with Technical Leads & Senior Developers to define software architecture, conducting code reviews, developing backend APIs, performing automated testing, documenting technical processes, monitoring system performance, assisting the Customer Success Team in resolving technical challenges, and mentoring junior engineers. You may also be required to undertake any other tasks relevant to the product. Working at BotPenguins offers you the chance to be part of an innovative AI startup at the forefront of chatbot automation. You will join a passionate and talented team that values knowledge-sharing and problem-solving, in a growth-oriented environment with ample learning opportunities. You will have exposure to top-tier global clients and projects with real-world impact, enjoy flexible work hours, and prioritize work-life balance. Our culture fosters creativity, ownership, and collaboration, and based on your performance, this role presents the potential for promotion to a VP position.,

As a Product Technical Lead, you will play a crucial role in connecting the product vision with technical implementation. Your responsibilities will include leading discussions on product architecture, defining technical roadmaps, and guiding engineering teams to create high-performance, scalable solutions for our AI chatbot platform, BotPenguin. This position requires strategic thinking, hands-on development experience, and leadership skills to align cross-functional teams towards the success of the product. You will collaborate closely with product managers, senior engineers, AI specialists, and business stakeholders. Additionally, you will oversee code reviews, mentor junior developers, and uphold high software quality standards. This role presents exciting opportunities to develop impactful AI-driven solutions and influence the future of conversational automation. To succeed in this role, you should possess a Bachelor's degree in Computer Science, IT, or a related field, along with a minimum of 5 years of experience in software engineering, including at least 2 years in a technical leadership capacity. You must demonstrate expertise in scalable system design, product architecture, MEAN/MERN Stack technologies, software architecture planning, low-level design, and implementing product-level architectural patterns. Proficiency in creating and implementing scalable, high-performance solutions, backend API development, UI integration, cloud platforms like AWS, containerization (Docker, Kubernetes), AI/ML concepts, version control tools (GitLab/GitHub), and project management tools (Notion) is essential. Strong analytical mindset, leadership skills, and a dedication to mentoring junior developers are also critical soft skills for this role. Your primary responsibilities will involve leading technical architecture design and roadmap planning for BotPenguin's core platform, collaborating with the Product Manager to align product vision with technical execution, designing and developing core platform modules, enforcing technical best practices, evaluating and integrating AI models and automation tools, ensuring application performance, security, and scalability, and supporting technical issue resolution for Customer Success and QA teams. Additionally, you will drive technical discussions, conduct code reviews, foster a culture of continuous improvement and innovation, collaborate with the Product Team on implementing new features, define software architecture with Technical Leads, develop backend APIs, conduct testing, document technical processes, and collaborate with various teams to enhance user experience. Working in this role will allow you to lead the evolution of a rapidly growing AI product, be part of an innovative AI startup driving chatbot automation, collaborate with a talented team, access ample learning opportunities, engage with global clients and impactful projects, enjoy flexible work hours, and contribute to a culture of creativity, ownership, and collaboration. Exceptional performance in this role may lead to promotion opportunities to a VP/CTO position. In summary, as a Product Technical Lead, you will drive the technical aspects of BotPenguin, collaborate with various teams to enhance product features, ensure high software quality, and contribute to the growth and success of our AI chatbot platform.,

ValGenesis is a leading digital validation platform provider for life sciences companies, with its suite of products being utilized by 30 of the top 50 global pharmaceutical and biotech companies. These products play a crucial role in achieving digital transformation, ensuring total compliance, and enabling manufacturing excellence and intelligence throughout the product lifecycle. As a part of the team at ValGenesis, you will collaborate with Business Analysts/Product Owners, Developers, SDETs, and others in the development of enterprise software applications. Your responsibilities will include understanding business requirements, participating in the complete development life cycle, designing and implementing test strategies, test plans, test cases, test automation, and execution. You will focus on validating the functionality, performance, and reliability of AI/ML models, evaluating various aspects such as accuracy, bias, robustness, and safety. Additionally, you will track model performance, identify issues, and provide regular reports on quality and reliability. Crafting and refining the prompts or instructions to guide the development of Generative AI models will also be a key aspect of your role. To excel in this position, you should have 2 to 6 years of experience in enterprise software product development lifecycle/phases, along with a solid blend of software testing expertise and a deep understanding of AI/ML concepts, tools, and frameworks. Proficiency in Generative AI model algorithms, training, deployment processes, evaluating model performance metrics, and assessing models for bias, fairness, and ethical concerns are essential requirements. Experience in Python programming and tools like OpenAI, TensorFlow, PyTorch, DialogFlow, and integrating testing processes into CI/CD pipelines will be advantageous. ValGenesis has been at the forefront of disrupting the life sciences industry since 2005, introducing the world's first digital validation lifecycle management system. The company continues to innovate and expand its offerings, driving an end-to-end digital transformation platform. Joining the ValGenesis team means being part of a customer-focused organization that values open communication, mutual support, and a commitment to excellence. The company fosters a culture of innovation, encourages personal growth, and maintains a relentless pursuit of market leadership. At ValGenesis, the Chennai, Hyderabad, and Bangalore offices operate onsite five days a week, emphasizing the importance of in-person interaction and collaboration for fostering creativity, building a sense of community, and ensuring future success as a company.,

As an AI Trainer in the manufacturing sector, you will play a crucial role in designing and delivering leadership training programs that leverage AI tools effectively. Your primary responsibility will involve collaborating with internal managers to understand learning needs, defining training goals, and creating engaging content tailored to the manufacturing industry. Your key responsibilities will include designing AI-led learning curriculum focused on leadership development, developing training materials such as presentations, modules, assessments, and use cases, and customizing programs based on client-specific challenges and digital maturity. You will also support the delivery of training sessions and gather feedback for continuous improvement. To excel in this role, you should have at least 5 years of experience in instructional design or corporate training, a good understanding of AI/ML concepts and their business applications, strong communication and content development skills, and the ability to simplify technical topics for non-technical leadership audiences. Experience working with manufacturing or industrial clients will be a plus, and being based in or open to occasional travel to Chennai is preferred. In return, you will have the opportunity to work on impactful AI leadership programs, gain exposure to industry-leading clients, and contribute to digital transformation initiatives that drive business success.,

As the Technical Communications & Training Lead at EdPi Education Pvt Ltd, your primary responsibility will be to lead the creation and management of high-quality content across technical, educational, and product domains. You will collaborate closely with engineering, product, and leadership teams to develop thought leadership, support internal training initiatives, and produce clear and impactful documentation that showcases our innovation in AI, ML, and educational technologies. Your key responsibilities will include researching and writing compelling articles on technical topics in education and computational science, applications of AI/ML and emerging technologies, as well as company updates, achievements, and events. You will also be tasked with developing and maintaining learning resources, onboarding materials, and technical training paths for engineers and internal teams. Additionally, you will create and update product and service documentation such as user guides, API docs, and knowledge bases. Building and managing a knowledge-sharing ecosystem across teams and collaborating with engineering and product teams to simplify complex ideas into accessible content will also be part of your role. To excel in this position, you should possess 2-4 years of experience in technical writing, content strategy, or knowledge management. A strong understanding of applied AI/ML concepts and/or educational technologies is essential, along with excellent written communication and research skills. Previous experience working closely with engineering and product teams is a requirement, and familiarity with tools like Markdown, Notion, Confluence, Git, or documentation platforms is highly desirable. Having a background in computer science, engineering, or education technology is a plus, as is experience in designing or managing internal learning programs. If you have a track record of publishing technical blogs, papers, or editorial content, it would be considered advantageous for this role.,

As a Support Engineer in our AI Enablement team at InfoPark, Cochin, you will be responsible for bridging the gap between AI technology and customer support operations in the homeowners insurance domain. Your role will involve training and deploying AI models to automate support tasks, optimizing intelligent tools for underwriting and claims workflows, and enhancing customer and agent interactions across digital channels while also supporting existing manual tasks. Your key responsibilities will include preparing, labeling, and validating underwriting and claims support data for AI model training, collaborating with AI engineers to automate routine tasks, monitoring AI performance in production, and providing feedback for continuous improvement. You will also act as a liaison between the AI development team and customer support teams, onboard support staff on AI-driven tools, and ensure system maintenance and troubleshooting to support the stability of AI tools across platforms. To be successful in this role, you should have at least 2 years of experience in technical support, customer support, or insurance operations, preferably in homeowners insurance. Additionally, you should possess a basic understanding of AI/ML concepts, particularly Natural Language Processing (NLP), and have experience with support platforms like Zendesk, HubSpot, or Salesforce. Strong analytical, troubleshooting skills, and excellent interpersonal and communication skills are also essential. Preferred qualifications include experience in labeling or training datasets for AI/chatbot models, exposure to tools like chatGPT, Gemini, Copilot, knowledge of data privacy practices, compliance standards in the insurance sector, and basic proficiency in Python or SQL for data handling. Join us to play a central role in transforming the insurance industry with AI, collaborate with global teams, work in a modern, innovation-driven environment at InfoPark, Cochin, and enjoy a flexible, inclusive work culture with growth opportunities in AI and insurance technology. This full-time position in Kochi requires a minimum of 2 years of relevant experience, and you should be ready to relocate to Kochi and work from the office immediately. You will report to the Director of AI Operations / Support Automation Lead. Qualifications: Any Graduates, preferably in finance or IT field.,

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We're a technology company that leads with our humanity, driving our business priorities alongside meaningful social, community, and societal impact. Ciena is seeking a highly motivated and skilled AI Verification Engineer to join our growing team. You will be responsible for the verification and validation of AI/ML models and their integration within our networking products and solutions. You will play a critical role in ensuring the quality, performance, and reliability of our AI-powered offerings, contributing to the next generation of intelligent networks. **Verification And Validation** - **AI Agent & Application Testing Strategy**: Design, develop, and execute comprehensive test plans, strategies, and test cases specifically tailored for LLM-powered AI agents and applications. - **Adversarial, Robustness & Edge Case Testing**: Proactively design and implement adversarial attack simulations, stress tests, and sophisticated techniques to identify and test edge cases, ensuring the robustness, safety, and resilience of AI agents against unexpected, novel, or malicious inputs. Knowledge of attack prevention strategies to counteract RAG poisoning, Prompt injection. - **Comprehensive Test Methodologies for AI**: Strong knowledge and practical application of a wide range of testing types (functional, non-functional, performance, integration, security, usability, A/B testing, metamorphic testing, etc.) and proven ability to adapt and innovate them for the unique challenges of AI systems. - **RAG & Knowledge Base Validation**: Rigorously test and validate the effectiveness, accuracy, concurrency, and relevance of RAG pipelines and knowledge base integrations in enhancing AI agent performance, knowledge grounding, and preventing information leakage. Collaborate with development teams to optimize AI/ML model performance and efficiency within resource constraints. Investigate and resolve performance issues in AI/ML-driven network applications. - **Prompt Engineering**: Develop, test, and optimize effective prompts for LLMs. Continuously analyze model responses and iteratively redefine prompts to improve accuracy and context relevance. Document prompt strategies and outcomes to build reusable prompt libraries and knowledge bases. Evaluate model performance on different prompts using qualitative and quantitative metrics. Explore and implement prompt engineering techniques such as zero-shot, few-shot, and chain-of-thought prompting. Troubleshoot and mitigate undesired outputs including bias, hallucination, or security risks arising from prompts. Contribute to AI/ML model fine-tuning project requirements with prompt engineering expertise. - **Research and Development**: Stay up to date with the latest advancements in AI/ML verification and validation techniques. Research and evaluate new tools, technologies, and methodologies for AI/ML testing. Contribute to the development of best practices and standards for AI/ML verification at Ciena. **Qualifications:** - Bachelors or masters degree in computer science, Data Science, Machine Learning, or related fields. **Experience:** - Minimum 3+ years of experience in QA with specific experience in testing cloud-based AI/ML solutions. **Skills:** - Strong understanding of AI/ML concepts and techniques. - Familiarity with common AI/ML model development frameworks. - Programming skills in Python or other relevant programming languages. - Understanding of APIs and API programming. - Database experience SQL or any other database system. - Experience with data analysis and visualization tools. Experience working with large datasets and data pipelines. - Experience with DevOps practices and CI/CD pipelines. - Knowledge of security vulnerabilities and their impact on AI/ML models is a plus. - Nice to have: Google ADK experience. If you're not ready to apply, you can join our Talent Community to get relevant job alerts straight to your inbox. At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination. Ciena is an Equal Opportunity Employer, including disability and protected veteran status. If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.,

As an experienced and driven Product Lead Engineer, you will be responsible for leading the technical architecture design and roadmap planning. Your role will involve collaborating with the Product Manager to ensure that technical solutions align with business goals. You will design and develop core platform modules such as automation, chat assignment, analytics, and multi-agent features. It will also be your responsibility to define and enforce best practices, coding standards, and documentation. Furthermore, you will evaluate and integrate AI/ML models, automation tools, and modern technologies to enhance product capabilities. Ensuring the performance, security, and scalability of product deployments will be crucial. You will provide support to QA and Customer Success teams in issue resolution and root cause analysis. Conducting code reviews, technical discussions, and ensuring timely delivery of features will also be part of your responsibilities. Additionally, documenting APIs, architecture, troubleshooting steps, and internal tools will be essential. You will mentor junior developers, promote learning, and contribute to growing technical capabilities across the team. Continuously monitoring system performance and suggesting optimizations will be key to enhancing product efficiency. To qualify for this role, you should have a Bachelor's degree in Computer Science, IT, or a related field and a minimum of 5+ years of experience in software engineering, with at least 2+ years in a technical leadership position. Your technical skills should include strong expertise in MEAN/MERN stack technologies, system design, product architecture, and low-level technical planning. Backend API development, UI integration experience, and familiarity with AWS, Docker, Kubernetes, and cloud-native environments are required. Understanding AI/ML concepts, LLM integration, version control tools like GitHub/GitLab, and project management tools such as Notion or similar are also essential. In addition to technical skills, you should possess strong analytical and leadership skills, a passion for mentoring and growing engineering teams, and a proactive and collaborative mindset. This role offers you the opportunity to work on a fast-growing, high-impact SaaS product, lead technical initiatives that shape the user experience, be part of a talented and collaborative tech team, and enjoy a flexible and innovation-friendly work culture. If you meet the qualifications and are available to join immediately or within one week, this Full-time Product Lead Engineer position based in Mohali, Punjab could be the next step in your career.,

As a Senior Associate for the Responsible AI Office with 10 to 18 years of experience, you will play a crucial role in supporting the development and market success of responsible AI initiatives. Your responsibilities will involve collaborating with technical teams, business functions, and external stakeholders to ensure that AI offerings meet customer needs and regulatory requirements. This position offers a unique opportunity to work at the intersection of AI technology, commercial strategy, and regulatory compliance, allowing you to contribute to the development, positioning, and delivery of responsible AI capabilities in the market. Your key responsibilities will include: - Supporting the development of market-ready responsible AI tools, frameworks, and assessment methodologies with clear commercial value propositions - Assisting in RFP responses by providing technical content, governance frameworks, and compliance documentation - Contributing to customer presentations and sales conversations by preparing technical briefings and responsible AI positioning materials - Conducting market research and competitive analysis to identify opportunities for RAI offerings and understand customer requirements - Supporting business case development, pricing strategy, and customer needs assessment for responsible AI products and services - Helping develop customer education materials, case studies, and thought leadership content that demonstrate commercial value - Supporting partnership development by identifying potential collaborators and preparing partnership materials - Contributing to go-to-market strategy development, market segmentation, and customer journey mapping In addition, you will be responsible for providing project management support for cross-functional responsible AI initiatives, coordinating meetings, managing calendars, and maintaining project documentation. You will also support industry standards engagement, external partnerships, internal governance policies, and business enablement activities. To be successful in this role, you should have a Bachelor's degree in Computer Science, Engineering, Business, Economics, or a related field, along with 3-4 years of experience in technology, consulting, business strategy, or related fields. Strong analytical and research skills, excellent communication abilities, and a demonstrated interest in AI and technology commercialization are essential. You should also have a good understanding of technology business models, AI/ML concepts, enterprise sales processes, compliance, and governance frameworks. This position offers valuable experience at the intersection of AI technology and business strategy, providing a foundation for career growth in product management, business development, or specialized AI governance roles. You will have the opportunity to build cross-functional skills, contribute to industry standards work, and develop a professional network in the AI and technology sector.,

As a Product Manager, you will collaborate with product managers, engineers, and stakeholders to define technical requirements for product features and enhancements. You will analyze platform usage data and user behavior to inform product design and development. Conduct market and competitor analysis to benchmark features, pricing, and technical capabilities. Prepare technical documentation, user stories, product specifications, and data flow diagrams. Monitor and evaluate product performance, using metrics and KPIs to recommend improvements. Translate complex technical concepts into clear, actionable insights for both technical and non-technical audiences. Perform QA testing by validating product functionalities and identifying technical issues. Stay updated on emerging technologies, AI tools, and trends relevant to product innovation. You should have a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Business Analytics, or a related field. A strong understanding of product lifecycle and agile development methodologies is required. Proficiency in tools such as MS Excel, Google Sheets, JIRA, Confluence, and SQL is essential. Familiarity with AI/ML concepts, APIs, and cloud platforms (AWS, Azure, etc.) is preferred. Strong analytical thinking and problem-solving skills are necessary. Excellent verbal and written communication skills are a must. Experience with wireframing tools (Figma, Balsamiq) and data visualization (Tableau, Power BI) is a plus. You should be able to work independently and in cross-functional teams. This is a full-time, permanent position located in Nagpur, Maharashtra. The work location is in person. Benefits include leave encashment, paid sick time, and paid time off. Education: Bachelor's degree is required. Experience: 1 year of experience in product management is required. To speak with the employer, contact +91 7499927369.,

Qualcomm India Private Limited is a leading technology innovator that is dedicated to enabling next-generation experiences and driving digital transformation for a smarter, connected future. As a Qualcomm Hardware Engineer, you will be involved in planning, designing, optimizing, verifying, and testing electronic systems across a wide range of areas such as circuits, mechanical systems, Digital/Analog/RF/optical systems, FPGA, and/or DSP systems. Collaborating with cross-functional teams, Qualcomm Hardware Engineers play a crucial role in developing cutting-edge products that meet performance requirements. To be considered for this role, you should possess a Bachelor's degree, Master's degree, or PhD in Computer Science, Electrical/Electronics Engineering, or a related field, along with relevant work experience. We are currently looking for an EM/IR Methodology Engineer to join our team. This role focuses on developing and maintaining methodologies for Electromigration (EM) and Voltage Drop (IR) analysis to ensure robust and reliable designs in advanced semiconductor technologies. The ideal candidate will work closely with various teams to optimize power delivery networks and ensure compliance with EM/IR standards. Key Responsibilities: - Developing, validating, and optimizing methodologies for EM and IR analysis in advanced semiconductor designs. - Collaborating with design, CAD, and physical implementation teams to optimize power delivery networks. - Enhancing and automating workflows to improve PDN analysis efficiency. - Partnering with EDA tool vendors to enhance and customize EM/IR analysis tools. - Supporting design teams in EM/IR verification and sign-off. Required Skills and Qualifications: - Bachelors or Masters degree in Electronics, Electrical Engineering, or a related field. - 3-7 years of experience in EM/IR analysis or physical design methodology. - Strong understanding of EM and IR concepts and their impact on circuit reliability. - Hands-on experience with EM/IR analysis tools such as Voltus, RedHawk, Totem, or equivalent. - Experience with 2.5D/3D-IC, CoWoS, InFO, and WoW technologies. - Exposure to AI/ML concepts will be a bonus. - Proficiency in scripting languages such as Python, Perl, or Tcl for workflow automation. - Good understanding of STA concepts. - Strong problem-solving and analytical skills. - Excellent communication and teamwork skills. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. For accommodation requests during the application/hiring process, please contact Qualcomm. Additionally, Qualcomm expects its employees to adhere to all applicable policies and procedures, including confidentiality requirements. Please note that Qualcomm's Careers Site is for individuals seeking jobs directly at Qualcomm. Staffing and recruiting agencies are not authorized to submit profiles, applications, or resumes on behalf of individuals. Unsolicited submissions from agencies will not be accepted. For more information about this role, please contact Qualcomm Careers.,

You are a highly skilled and passionate Full Stack Lead with significant hands-on experience in developing, deploying, and migrating applications on Google Cloud Platform (GCP) while also integrating Generative AI technologies. Your role involves building and maintaining scalable, reliable, and innovative solutions across the full stack, leveraging GCP services and GenAI models to drive business value. Working in a fast-paced environment, collaborating with cross-functional teams, and taking ownership of projects from conception to deployment are key aspects of your responsibilities. Your responsibilities include designing, developing, testing, and deploying high-quality, scalable web applications using modern front-end and back-end technologies. You will also design and develop RESTful APIs for internal and external consumption, ensuring security and performance. Additionally, your role involves application migration to GCP, implementation of robust and scalable solutions on Google Cloud Platform, and participation in CI/CD pipeline development and automation. You will write clean, well-documented, and testable code, participate in code reviews, and implement automated testing strategies. Collaboration and communication with product managers, designers, data scientists, and other developers are essential for defining requirements, designing solutions, and delivering high-quality products. Implementing security best practices throughout the development lifecycle and staying up-to-date with the latest trends and technologies in full-stack development, GCP, and Generative AI are also part of your responsibilities. As a Full Stack Lead, you should have a Bachelor's degree in computer science or a related field with at least 8 years of professional experience as a Full Stack Engineer. Proficiency in modern front-end and back-end technologies, experience with Enterprise SSO technologies, expertise in source control repositories and build tools, and extensive hands-on experience with GCP services are required technical skills. Additionally, experience with relational and NoSQL databases, RESTful APIs, troubleshooting during application migration to GCP, and relevant GCP certifications are necessary qualifications. Having experience with Generative AI and Agent AI models, DevOps practices, and soft skills such as excellent communication, collaboration, problem-solving, adaptability, ownership, and initiative are considered advantageous for this role. Your proactive and self-motivated approach, ability to identify opportunities for improvement, and drive projects to completion will contribute to your success as a Full Stack Lead.,