5222 Artificial Intelligence Jobs - Page 30

Role Description Lead Technology Manager within Archiving Technology product family to take on the responsibility of delivery of large-scale programs, contribute to design & implementation of technical solutions including data engineering and IT transformation. The Technology Manager will lead a delivery team, provide technical leadership, and work in a global team interfacing with business stakeholders. The right candidate will bring a strong combination of software development, data engineering and people management skills. Your key responsibilities Develops, owns, and executes business deliveries end to end. Excellent organizational skills, high attention to detail with the ability to work under pressure and proactive project risk management skills Lead a team of engineers, functional analysts, testers, production support etc. Responsible for innovation and end-to-end launch of products. Collaborates with stakeholders and customers across the organization to inform the product vision, strategy, features, and prioritization. Works with cross-functional teams including analytics, design/user experience, engineering, and user enablement. Provide all required status update to the project team, user and various level of management Manage work of Sprint development team and Business Analysts team Turns data insights into products with actionable outcomes to the ultimate customer. Works in an Agile environment and continuously reviews the business needs, refines priorities, outlines milestones and deliverables, and identifies opportunities and risks. Translates product roadmap features into well-defined product requirements including features, user stories, and acceptance test criteria. Leads the product functional design process based on an intimate knowledge of the users and technology. Well versed in writing and reviewing requirement documents, functional specifications, coordinating workshops and obtaining signoff and review project plans. Your skills and experience 15+ Years of technology experience, continuous hands-on coding exposure, ability to drive solutions and lead technology delivery and teams Strong experience and understanding of data engineering principes Proficiency in coding languages is essential to this role and strong understanding of common programming languages such as Java, SQL, NoSQL, Python, Java, etc. Big data tools: Experience with managing big data, including tools such as Hadoop, MongoDB, Kafka, etc. Cloud computing: Understanding of cloud storage and cloud computing At least 5 years of team building and leading experience working in matrix management environment. 5+ years of technology delivery lead experience Proficient communication skills Fluent in English (written/verbal) Ability to work in virtual teams and in matrixed organisations Ability to design and write code in accordance with provided business requirements Relevant Financial Services experience. Ability to work in a fast paced environment with competing and alternating priorities with a constant focus on delivery. Ability to balance business demands and IT fulfilment in terms of standardisation, reducing risk and increasing IT flexibility. Strong Java understanding with technical expertise and knowledge of below technologies Exposure to other technologies like UNIX, Job Scheduling (Exp: Control-M) etc. Candidate is expected to have high desire to learn new technologies and implement various solutions in fast paced environment.

Core Responsibilities Design and implement machine learning models, including Generative AI and Large Language Models (LLMs), to solve complex business problems. Integrate AI/ML solutions, including open-source LLMs (Llama, Falcon, Mistral, etc.), with existing Node.js applications. Process, clean, and transform data for model training and inference. Optimize model performance, fine-tune LLMs, and improve deployment pipelines. Collaborate with cross-functional teams, partners, and stakeholders to develop AI-driven solutions. Apply AI and ML research, including Generative AI, to enhance software development and business workflows. Develop and maintain RESTful APIs for seamless interaction with ML models and LLM-based applications. Required Technical Skills Generative AI & LLMs Experience with open-source LLMs (e.g., Llama, Falcon, Mistral) and fine-tuning techniques. Machine Learning & AI – Hands-on experience with frameworks like TensorFlow, PyTorch, and scikit-learn Data Processing – Strong expertise in data manipulation using pandas, NumPy, and other relevant tools. Model Deployment – Knowledge of model serving techniques in JavaScript environments for real-world applications. Node.js Development – Building and maintaining backend services that interact with ML models and APIs. API Development – Experience in RESTful API design and implementation using Node.js.

Role & responsibilities .Net Fullstack + AWS + Angular + AI/Gen AI (good to have) Notice Period-Immediate to July/Aug Joiners *Note-Reply only if experience, notice period and skills matching with your profile. Preferred candidate profile

• Meeting with decision makers of Schools to brief about the Company profile, STEMROBO Products and Offerings. • Closing the sale by getting the agreement signed and collection of advance payment and responsible for company revenue generation. Perks and benefits Reimbursement, Medical, PF, Incentives

Responsibilities: * Design, develop & deploy AI/ML models using Python * Collaborate with cross-functional teams on project delivery * Optimize model performance through data analysis & experimentation Office cab/shuttle Health insurance Food allowance

Key Responsibilities: Participate in project meetings with internal teams and clients to gather requirements and present solutions. Lead the design and development of scalable, secure, and high-performance web applications using both front-end and back-end technologies. Provide technical solutions and address queries raised by clients and team members. • Architect full-stack solutions using best practices in OOP, design patterns, and modern web frameworks. Ensure delivery of quality code through unit testing, code reviews, and adherence to CI/CD practices. Collaborate with UI/UX teams to implement front-end interfaces that are functional and user-friendly. Provide mentorship and leadership to developers, ensuring best coding practices and continuous improvement. Oversee end-to-end delivery, including integration, deployment, and performance optimization. Remain up-to-date with emerging tools and technologies and drive their adoption within the team. Ensure compliance with all organizational IT policies including security, confidentiality, and behavioural guidelines. Technical Skills Required: Back-End Capabilities: Strong experience in ASP.NET, C#, LINQ, Windows Services, Web API/RESTful Services • Expertise in OOP, algorithms, and scalable application architecture Experience in Microsoft SQL Server, relational database design, and database performance tuning Working knowledge of cloud hosting platforms (Azure/AWS) is a plus Familiarity with source control systems like TFS, SVN, and Git Front-End Capabilities: • Proficient in JavaScript, jQuery, Bootstrap for creating interactive, user-friendly web interfaces and modern frameworks (experience in Angular, React, or Vue is a plus) Understanding of HTML5, CSS3, and responsive design principles Experience in integrating front-end UI with backend services securely and efficiently Ability to collaborate with design and product teams to translate UI/UX designs into functional applications Working knowledge on cloud platforms, especially Microsoft Azure, AWS are essential. • Familiarity with CI/CD pipelines, source control and DevOps practices for automated deployment and testing. Expertise in Microsoft SQL server, including database design, normalization and performance tuning. Familiarity with No SQL databases and general database management practices. Interested Candidates can drop your resumes to poornima@ind.bloomsolutions.com

Key Responsibilities: - Architect and Develop GPT Models:** Design, build, and optimize custom GPT models, including architecture and fine-tuning, to meet the specific needs of the legal domain. - Cloud Architecture: Develop and manage cloud-based infrastructure with a deep understanding of cloud services and architecture to deploy and scale AI solutions efficiently. - Integration and Deployment: Oversee the deployment of GenAI models and ensure seamless integration with the KonProz platform. - Vector DB Utilization: Work with Vector DBs to enhance data retrieval, storage, and interaction with AI models. - Performance Optimization: Monitor and optimize the performance of AI models and cloud services to ensure reliability and efficiency. - Innovation and Collaboration: Collaborate with cross-functional teams to drive innovation and integrate AI capabilities into the product offering. - Technical Leadership: Provide technical guidance and mentorship to junior engineers, fostering a culture of learning and growth within the team. - Stay Current: Keep abreast of the latest advancements in AI and cloud technologies and apply new insights to improve our solutions. Qualifications: - 2-5 years of experience in developing and deploying GPT models, with a strong understanding of creating custom models and their architectures. - Deep knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud architecture for scalable AI solutions. - Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch). - Hands-on experience with Vector DBs and cloud-based data pipelines. - Strong problem-solving skills and a proactive approach to learning and development. - Excellent communication skills and the ability to work effectively in a collaborative team environment. - Ability to adapt to a startup pace and thrive in a dynamic work setting.

Hiring an AI Engineer - Join an AI SaaS Startup About the organization: We're revolutionizing the hiring process with AI-powered voice and avatar technology . The platform acts as a 24/7 AI Hiring Agent , automating everything from screening to interviews and decision-making. Location: Bangalore ( Remote for now) About This Role You'll play a key role in building AI capabilities into our core platform, from interviews to decision-making. This role requires product thinking, fast execution, and a passion for real-world AI applications. You'll work directly with the founding team in a fast-moving, high-trust environment . Roles & Responsibilities Build and optimize AI systems using LLMs, NLP, and GenAI APIs Design and deploy ML-powered features within our product suite Collaborate with Product and Engineering to ship real-world AI features Own model training, fine-tuning, and inference pipelines Integrate voice (TTS/ASR) and avatar technologies into the platform Work in an agile, startup-style environment with quick iterations Ensure high-quality, scalable ML components in production Drive innovation and constantly explore new AI capabilities What Were Looking For 2-3 years of hands-on experience in LLMs, NLP, or Machine Learning Strong product-building mindset B.Tech graduate Experience in early-stage product startups. Good coding skills in Python and familiarity with ML frameworks Experience integrating with GenAI APIs (OpenAI, Claude, etc.) Strong fundamentals in data structures, algorithms, and system design

Hello Everyone, Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Skills: Machine Learning, Deep Learning, TensorFlow, PyTorch, Python, Data Analysis, Algorithm Design, AWS/GCP, Model Deployment, Big Data Technologies, Version Control (Git) Primary Responsibilities: Design and implement complex AI/ML models and algorithms Collaborate with data scientists to preprocess, analyze, and interpret large datasets Develop and maintain scalable and robust machine learning frameworks Integrate AI/ML solutions into products and develop new innovative features Perform model testing, validation, and optimization Deploy machine learning models into production environments Stay up-to-date with the latest advancements in AI/ML technologies and practices Mentor junior team members and provide technical guidance Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field 6+ years of experience in software engineering with a focus on AI/ML Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar Experience with data preprocessing and analysis Solid programming skills in Python, Java, or C++ Familiarity with cloud platforms and services (e.g., AWS, Google Cloud, Azure) Hands-on technical skill Proven excellent problem-solving skills and the ability to think algorithmically Proven solid communication and teamwork abilities Interested can share their updated CV at arshad_mohammad@optum.com Thanks and Regards, Arshad Ayub - Talent Scout Optum

Education, Experience, & Skills Required: 2-7 years of experience in a software engineering role, with exposure to AI/ML concepts. Familiarity with working in an Agile environment preferred. Bachelors Degree or equivalent in Computer Science, Engineering, or a related field. Software engineering experience, with exposure to AI model integration and generative AI frameworks. Knowledge of modern programming language such as: Python - preferred for AI applications Familiarity with Unix/Linux, Big Data, SQL, NoSQL, and modern data storage technologies. Experience with AI APIs and frameworks such as OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, ChromaDB). Exposure to object-oriented programming, RESTful APIs, distributed computing, WebU, and modern JavaScript frameworks. Understanding of GenAI model deployment in cloud environments (AWS or Azure). Familiarity with AI model evaluation techniques, including embeddings, retrieval-augmented generation (RAG), and prompt engineering. Behaviors & Abilities Required: Ability to learn and adapt in a fast-paced environment, particularly in AI and GenAI integration. Ability to write performant, scalable, and maintainable code for AI-powered applications. Critical thinking skills to assess AI-generated outputs and improve model reliability. Problem-solving mindset to identify alternative methods of solving software engineering and AI-related challenges. Proven track record of delivering AI-integrated features while following best practices in software development. Ability to collaborate on AI-driven solutions, working with cross-functional teams, data scientists, and software engineers. Curiosity and willingness to explore new AI models, tools, and frameworks for enhancing software applications with GenAI capabilities.

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Process Associate – Underwriting Support! Your role will require you to utilize your experience in and knowledge of insurance/reinsurance and underwriting processes to process transactions for the Underwriting Support Teams and communicate with the Onsite Team. Responsibilities • Transaction processing for Underwriting Support Teams • Communicating with the Onsite Team • Responsible for Risk Clearance, Bind & Issue, Endorsement Processing, Renewal Processing • Responsible to comprehend, good customer service attitude to clearly articulate the resolution • Responsible to handle varied volumes of workloads and to reach targets and deadlines on a timely basis Qualifications we seek in you! Minimum Qualifications / Skills • Graduate (in any discipline) • Good understanding of P&C products • Should have wing to wing knowledge of the Underwriting lifecycle • Must demonstrate and foster customer focus, teamwork, accountability, initiative, and innovation. • Fluent in English language- both written and oral Preferred Qualifications/ Skills • Insurance domain awareness. • Good knowledge of MS Office. • Preferred with certification on one of the streams i.e., IIA, or Cert CII or equivalent or AINS, CPCU certification etc. • Knowledge of P&C insurance • Good understanding of US Underwriting, Policy binding and Issuance • Knowledge of Premium bearing & non premium bearing endorsement • Knowledge of Renewal & Non-Renewal Why join Genpact? •Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation •Make an impact – Drive change for global enterprises and solve business challenges that matter •Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities •Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day •Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are inviting applications for the role of Process Associate/Process Developer - Underwriting Support Your role will require you to utilize your experience in and knowledge of insurance/reinsurance and underwriting processes to process transactions for the Underwriting Support Teams and communicate with the Onsite Team. Responsibilities • Transaction processing for Underwriting Support Teams • Communicating with the Onsite Team • Responsible for Submission Clearance, Bookings, Endorsement Processing, Renewal Processing • Responsible to comprehend, good customer service attitude to clearly articulate the resolution • Responsible to handle varied volumes of workloads and to reach targets and deadlines on a timely basis Qualifications we seek in you Minimum Qualifications • Graduate (in any discipline) • B1 certified in French language • Relevant work experience for London Market Insurance preferred • Should have wing to wing knowledge of the Underwriting lifecycle • Must demonstrate and foster customer focus, teamwork, accountability, initiative and innovation. • Fluent in English language- both written and oral Preferred Qualifications • Insurance domain awareness • Good knowledge of MS Office • Preferred with certification on one of the streams i.e. CII London i.e. ALMI, FIT or Cert CII or equivalent or AINS, CPCU certification • Knowledge of Bureau/Non Bureau market • Knowledge of Binder, Lineslip and Consortium Processing • Exposure to Reinsurance Market and it's types such as Prop and Non prop • Exposure to Treaty and Fac Reinsurance Why join Genpact? •Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation •Make an impact – Drive change for global enterprises and solve business challenges that matter •Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities •Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day •Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Role Overview: We are seeking a passionate and experienced AI & Data Science Trainer to conduct in-person classroom sessions for students. The ideal candidate should have hands-on experience in Data Science, Machine Learning, and Big Data tools, with a strong focus on Python and real-world project training. Key Responsibilities: Deliver offline classroom training in: Python (Core + Libraries) Data Science Fundamentals Machine Learning Algorithms Artificial Intelligence Applications PySpark and Big Data Basics Pandas, NumPy, Matplotlib AWS (S3, EC2, Glue, Athena basic level) Design and update training modules and assessments based on industry standards Conduct hands-on sessions with real-time datasets and mini-projects Provide mentorship and doubt-clearing sessions Required Skills: Strong command over Python programming Solid understanding of Machine Learning models and algorithms Hands-on experience with Data Science workflows using Pandas, NumPy, Scikit-learn Practical knowledge of PySpark and working with large datasets Basic to intermediate understanding of AWS services (S3, Glue, Athena, EC2) Strong communication and presentation skills Ability to simplify complex topics for beginners Passion for teaching, mentoring, and classroom engagement

Job Summary: As the Lead AI/ML Engineer, you will be responsible for designing, developing, and implementing machine learning algorithms and AI solutions that address complex business challenges. You will lead a team of engineers collaborating with cross-functional teams to drive the successful deployment of AI initiatives. Your expertise will be crucial in shaping our AI strategy and ensuring the delivery of high-quality, scalable solutions. Key Responsibilities: Lead the design and development of machine learning models and AI solutions to solve business problems. Select appropriate machine learning or deep learning models based on problem context and data availability. Develop, train, test, and validate models using state-of-the-art methodologies and frameworks. Collaborate with analytics, developers and domain experts to acquire, clean, and preprocess large datasets. Engineer features and performs exploratory data analysis to ensure data quality and model readiness. Containerize models (Docker/Kubernetes), implement monitoring (Prometheus/Grafana), and automate pipelines (MLflow/Kubeflow). Implement models into production environments, ensuring robustness, scalability, and maintainability. Develop and maintain CI/CD pipelines for seamless model integration and deployment. Monitor and evaluate model performance post-deployment and iterate based on feedback and performance metrics. Work closely with cross-functional teams (e.g., product, engineering, Ux, Ax) to align model development with business objectives. Stay updated with emerging trends in AI/ML research and tools, integrating best practices into the development process. Document model architecture, development processes, and performance evaluations thoroughly. Share insights and technical know-how with team members to foster a culture of continuous learning and improvement. Research & Innovation: Stay ahead of AI trends (LLMs, generative AI) and advocate for ethical AI practices. Develop and implement best practices for model development, testing, and deployment. Analyze large datasets to extract insights and improve model performance. Communicate complex technical concepts to non-technical stakeholders effectively. Ensure compliance with data privacy and security regulations in all AI/ML initiatives. Qualifications: Bachelors or masters degree in computer science, Machine Learning, or a related field. Proven experience (5+ years) in AI/ML engineering, with a strong portfolio of successful projects. Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of machine learning algorithms, statistical modeling, and data analysis techniques. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication and interpersonal skills, with the ability to lead and inspire a team. Experience with version control systems (e.g., Git) and agile development methodologies is a plus.

Role Outline We are looking for a Document Extraction and Inference Engineer with expertise in traditional machine learning algorithms and rule based NLP techniques. The ideal candidate will have a strong foundation in document processing, structured data extraction, and inference modeling using classical ML approaches. You will work on designing, implementing, and optimizing document extraction pipelines for various applications, ensuring accuracy and efficiency. Role & Responsibilities: Develop and implement document parsing and structured data extraction techniques. Utilize OCR (Optical Character Recognition) and pattern-based NLP for text extraction. Optimize rulebased and statistical models for document classification and entity recognition. Design feature engineering strategies for improving inference accuracy. Work with structured and semistructured data (PDFs, scanned documents, XML, JSON). Implement knowledgebased inference models for decisionmaking applications. Collaborate with data engineers to build scalable document processing pipelines. Conduct error analysis and improve extraction accuracy through iterative refinements. Stay updated with advancements in traditional NLP and document processing techniques. Required Qualifications: Bachelors or Masters degree in Computer Science, AI, Machine Learning, or related field. 3+ years of experience in document extraction and inference modeling. Strong proficiency in Python and ML libraries (Scikit-learn, NLTK, OpenCV, Tesseract). Expertise in OCR technologies, regular expressions, and rule-based NLP. Experience with SQL and database management for handling extracted data. Knowledge of probabilistic models, optimization techniques, and statistical inference. Familiarity with cloud-based document processing (AWS Textract, Azure Form Recognize Preferred Qualifications: Experience with graphbased document analysis and knowledge graphs. Knowledge of time series analysis for document-based forecasting. Exposure to reinforcement learning for adaptive document processing. Understanding of the credit / loan processing domain

Contractual (Project-Based) Notice Period: Immediate - 15 Days Fill this form: https://forms.office.com/Pages/ResponsePage.aspx?id=hLjynUM4c0C8vhY4bzh6ZJ5WkWrYFoFOu2ZF3Vr0DXVUQlpCTURUVlJNS0c1VUlPNEI3UVlZUFZMMC4u Resume- shweta.soni@panthsoftech.com

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Delivering a complete front end application Ensuring high performance on mobile and desktop Writing tested, idiomatic, and documented JavaScript, HTML and CSS Collaborate with back-end developers and web designers to improve usability Create quality mockups and prototypes Get feedback from, and build solutions for, users and customers Help back-end developers with coding and troubleshooting Ensure high quality graphic standards and brand consistency Stay up-to-date on emerging technologies

Role Overview: We are seeking an experienced and visionary AI & Distributed Systems Architect to lead the design and implementation of large-scale, AI-driven distributed systems. The successful candidate will pioneer transformative AI solutions, including leveraging Generative AI, Machine Learning (ML), sophisticated agentic workflows, and context-aware data platforms. You will play a crucial role in defining architecture strategies, driving innovation, and leading technical teams to deliver cutting-edge capabilities at scale. Key Responsibilities: Lead the architecture design, development, and deployment of AI-powered distributed systems. Develop scalable, reliable, and high-performance solutions using Generative AI, ML models, and advanced data platforms. Implement agentic workflows incorporating AI agents and context-memory solutions, utilizing technologies such as Typesense and vector search platforms. Collaborate closely with product, engineering, and data science teams to integrate AI/ML functionalities seamlessly across systems. Drive technical excellence, mentoring teams on best practices and innovative architectural approaches. Ensure robust security, compliance, and ethical standards are embedded within AI architectures. Continuously evaluate emerging technologies and methodologies to improve system performance and scalability. Qualifications: Bachelor's/Masters degree in Computer Science, AI, Data Science, or a related field. 8+ years of experience in architecting and implementing large-scale distributed systems. Proven expertise in Generative AI, LLMs (Large Language Models), AI/ML workflows, and realtime data platforms. Hands-on experience with agentic workflows, context-memory implementations, and technologies like Typesense, Elasticsearch, or equivalent vector search platforms. Strong proficiency in cloud-native technologies, Kubernetes, streaming platforms (Kafka/Pulsar), and data storage solutions (Iceberg, Delta Lake). Excellent leadership skills, with a demonstrated ability to mentor and guide technical teams. Exceptional communication skills, capable of articulating complex technical concepts clearly and effectively. Preferred Skills: Experience working in AI-first product environments. Familiarity with multi-tenant SaaS architectures. Prior experience disrupting traditional ITSM/ITAM workflows using AI. Contributions to open-source AI or data community projects. Join us to build a next-generation AI platform poised to revolutionize industry workflows through cutting-edge technology and innovation.

Position Summary: We are seeking a highly driven, execution-focused Technical Program Manager (TPM) to lead and scale the TPM function across our product and engineering organization. This is a hands-on senior IC role ideal for someone who has successfully built a program management function from the ground up within an established product company. Youll play a strategic role in shaping operational excellence, team structure, and delivery processes to enable growth and innovation, while inspiring high performance by identifying root causes of delivery bottlenecks and empowering teams to overcome them . Key Responsibilities: Build TPM Function from Scratch : Design and implement a high-performance Technical Program Management function tailored for a scaling SaaS organization. Strategic Program Leadership : Lead the planning, execution, and delivery of complex, cross-functional programs with a focus on high impact and delivery excellence. Inspire High Performance : Diagnose delivery bottlenecks, uncover root causes, and enable individuals and teams to perform at their best. Ownership & Accountability : Act as a delivery owner ensuring initiatives are delivered on time, within scope, and aligned with business objectives. Cross-Functional Collaboration : Partner closely with engineering, product, design, and business stakeholders to prioritize and align on goals, deliverables, and resources. Process Definition & Optimization : Define scalable workflows, tools, and rituals (Agile, Scrum, SAFe, etc.) to drive consistency and quality across the organization. Tooling & Reporting : Leverage program management tools such as JIRA, Confluence, LinearB , Aha!, etc. to establish visibility, drive transparency, and enable data-driven insights. Risk & Dependency Management : Anticipate risks, manage dependencies, and proactively remove blockers to keep programs on track. Executive Communication : Regularly communicate program status, risks, and insights to senior leadership and cross-functional stakeholders. Qualifications: 4-8 years of experience in technical program management in SaaS or software product companies. Hands-on experience in building a program management function from scratch in an established product organization is required. Strong ability to lead with high ownership , drive execution excellence , and deliver programs that move the business forward. Deep understanding of Agile methodologies, SDLC, and modern software development practices. Hands-on expertise with tools such as JIRA, Confluence, and LinearB is required. Excellent communication, leadership, and stakeholder management skills. Strong technical acumen; ability to engage effectively with engineering on architecture, platforms, and technical trade-offs. Experience with scaled Agile frameworks (e.g., SAFe) is a plus. Bachelor's degree in Computer Science, Engineering, or related technical field; advanced degrees or certifications are a bonus. Preferred Traits: Self-starter with a builders mindset and strong bias for action. Ability to inspire and unblock teams by understanding challenges at the root level and enabling people through trust, clarity, and support. Strategic and systems thinker who can also dive into execution details. Comfortable operating in a fast-paced, high-growth environment with evolving priorities. Influential leader who earns trust and drives alignment across teams. Why Join Us: High-impact leadership role in a growing SaaS organization. Autonomy to design and shape the TPM function from the ground up. Collaborative and inclusive team culture. Competitive compensation, equity, and benefits.

We are seeking a seasoned Finance Transformation consultant specializing in Accounts Payable (AP) to spearhead process optimization, automation, and strategic efficiency initiatives. This role requires a blend of consulting expertise, stakeholder engagement, and operational leadership to drive transformative financial improvements while ensuring seamless business continuity. Key Responsibilities Strategic Finance Transformation Develop and execute a roadmap for AP process transformation , ensuring efficiency, compliance, and scalability. Analyze existing workflows and identify cost-saving opportunities through automation and process re-engineering. Champion Lean and Six Sigma methodologies to drive operational excellence in AP processes. Technology & Automation Leadership Oversee digital transformation initiatives , including AI-driven invoice processing, OCR integration, and ERP automation . Evaluate and implement AP automation tools , optimizing reconciliation, approvals, and payment cycles. Stay abreast of emerging financial technologies to ensure a future-ready AP function. Stakeholder & Vendor Management Cultivate strong relationships with senior finance leaders, procurement heads, and external partners to align AP transformation goals. Collaborate with global finance teams to ensure standardization and compliance with international payment regulations . Lead negotiations with vendors and financial institutions to drive cost-effective payment solutions . Operational Excellence & Compliance Establish and maintain KPIs for AP performance , tracking invoice processing times, payment accuracy, and vendor satisfaction. Ensure adherence to financial governance policies and regulatory frameworks. Conduct periodic audits to assess fraud risks, AP controls, and financial integrity . Consulting & Change Management Drive AP process improvement initiatives , collaborating with consulting firms and internal finance teams. Develop a structured change management approach , ensuring minimal disruption during transformation efforts. Conduct training and upskilling sessions for finance teams on new AP technologies and methodologies . Leadership & Communication Lead a high-performing finance transformation team, mentoring junior professionals in AP strategy. Present AP transformation insights, recommendations, and financial impact reports to senior leadership and board members . Foster a culture of continuous innovation, cost efficiency, and accountability in finance operations. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Deep expertise in AP processes, procurement finance, and shared services environments . Consulting experience in finance transformation, automation, and process reengineering . Proven ability to engage and influence senior stakeholders in finance, operations, and procurement . Hands-on experience with ERP systems (SAP, Oracle, Workday) and AP automation tools (RPA, AI-driven AP solutions) . Strategic mindset with the ability to drive sustainable cost efficiencies . Exceptional communication skills able to translate complex financial strategies into actionable insights. Preferred technical and professional experience MBA, CA, or CPA qualification will be an edge Certification in Lean Six Sigma, Financial Process Automation, or Agile Finance . Experience in global finance transformation and shared service center environments .

This role involves the development and application of engineering practice and knowledge in defining, configuring and deploying industrial digital technologies including but not limited to PLM MES for managing continuity of information across the engineering enterprise, including design, industrialization, manufacturing supply chain, and for managing the manufacturing data. - Grade Specific Focus on Digital Continuity Manufacturing. Fully competent in own area. Acts as a key contributor in a more complex critical environment. Proactively acts to understand and anticipates client needs. Manages costs and profitability for a work area. Manages own agenda to meet agreed targets. Develop plans for projects in own area. Looks beyond the immediate problem to the wider implications. Acts as a facilitator, coach and moves teams forward.

Responsibilities: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Determine and refine machine learning objectives. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Ensuring that algorithms generate accurate user recommendations. Verifying data quality, and/or ensuring it via data cleaning. Supervising the data acquisition process if more data is needed. Defining validation strategies. Defining the pre-processing or feature engineering to be done on a given dataset Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Deploying models to production. Documenting machine learning processes. Keeping abreast of developments in machine learning. Preferred candidate profile Bachelor's degree in computer science, data science, mathematics, or a related field. Knowledge as a machine learning engineer. Proficiency with a deep learning framework such as TensorFlow, XgBoost, Wavevnet, Keras, numpy. Advanced proficiency with Python, Java, and R code writing. Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture in ANN, CNN, RNN with LSTM. Ability to select hardware to run an ML model with the required latency In-depth knowledge of mathematics, statistics, and algorithms. Superb analytical and problem-solving abilities. Great communication and collaboration skills. Excellent time management and organizational abilities. Benefits of working with OptimEyes 1 . Remote work opportunity ( work from home)2. Work opportunity with a top-notch team, cutting-edge technology, and leadership of extremely successful experts.3. Monthly Bonus along with Salary4. Yearly Bonus Role & responsibilities Preferred candidate profile Role & responsibilities Preferred candidate profile

This position is for a End to End Capability & Product Owner, Global Pricing, to create Global Pricing Process maps for Country/ Operations Price waterfall Management. Leverage Digitization to create sustainable implementation of the pricing processes to ensure seamless and stable functioning of critical business processes. What will you do? Develop Global Guidelines on Pricing Processes related to different elements of Pricing Waterfall List price Management Standard Discount Management Special Price Agreement (SPA) Management SPA Off Invoice Claim Management Performance Bonus Management Sell out Management (Pricing related) Enable Implementation of Pricing Processes in Countries – harmonized and aligned to Global Guidelines Support Pricing System Assessments – Assessment design, conduct, and find gaps on Process improvements. Process Owner will be given responsibility of supporting process transformation project in certain countries – with active projects as part of deployment roadmap. Process Owner will also support Pricing tool implementation project as subject matter experts during live project to guide country project managers and other internal and external teams supporting the project deployment. Drive continuous improvement of the processes with the help of optimization experts Active trainer on Pricing Topics, lead pricing trainings in countries, teams assigned by Training leader in Global Pricing team Support tool implementation and adoption (Peer Pricing, List Price Optimization, Price Fx, data products) Additional responsibilities: Thought leadership on new pricing models, pricing processes, deployment technics, change management, creating the big picture between strategy and pricing With the business and pricing experience, pioneer into new analytics technics such as Artificial Intelligence, Machine Learning and put these technics to the use of price optimization In this role, the Process Owner interacts with BUs, countries and zones at various level of management. The job of the Process Owner requires frequent travels to meet business stakeholders Travel Subject to Schneider Electric Health and Safety Guidelines and applicable precautionary measures and travel restrictions due to Special Situation such as COVID pandemic What qualifications will make you successful for this role? Bachelor / Master’s degrees in business / Marketing or its equivalent Priors experience in E-Commerce Role, preferably in Pricing or Category/ Channel management. B2B industry is preferred. Transversal (Cross BU, Cross Function) Work Experience is desired

Synthesize insightful innovation landscape reports on how emerging technologies such as artificial intelligence, blockchain, robotics, and alternative reality are disrupting the world’s major industries like retail, banking, and pharma across their value chain. Thorough understanding of the IP landscape to identify trending technologies from patent filings and grants to create gold-standard patent landscape reports. Use best practices in data viz. to provide insights in brief and for a quick understanding of the topic. Review reports generated automatically using scripts as well as reports prepared by team members to spot missing elements. Author high-quality PRs and analyst briefs on not only technology themes like artificial intelligence but also macro themes like sustainability and COVID-19; consumer trend themes like personalization; industry themes like direct-to-consumer; and regulation themes like data privacy. Ability to work in an industry and technology agnostic setup in addition to any core expertise in a particular industry and technology. Build deliverables as per the team requirements and take up the production responsibility to publishable standards. QUALIFICATION & EXPERIENCE Preferably MBA with 3+ years of experience in writing insightful reports on emerging technologies and patent trends. OTHER REQUIREMENTS: Strong analytical and technical skills Good communication and presentation skills Clear, concise, and grammatically correct business English Proficient in the use of MS-Office suite (esp. PowerPoint) Self-starter and ability to work with the team as well as individually Effective planning to ensure timely delivery of allocated tasks