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Job Requisition ID # 25WD90121 Position Overview Are you a problem solver who thrives on building real-world AI applications? Do you geek out over LLMs, RAG, MCP and agentic architectures? Want to help shape a brand-new team and build cool stuff that actually ships? If so, read on. We’re building a new Applied AI team within Autodesk’s Data and Process Management (DPM) group. As a Founding Principal Engineer, you’ll be at the heart of this initiative — working in a highly dynamic environment, designing, building, and scaling AI-powered experiences across our diverse portfolio providing critical Product Lifecycle Management (PLM) and Product Data Management (PDM) capabilities to our customers. You’ll work on real production systems, solve hard problems, and help define the future of AI at Autodesk. Responsibilities Build AI-powered Experiences: Architect and develop production-grade AI applications that are scalable, resilient & secure Shape AI Strategy: Help define the AI roadmap for DPM by identifying opportunities, evaluating emerging technologies, and guiding long-term direction Operationalize LLMs: Fine-tune, evaluate, and deploy large language models in production environments. Balance performance, cost, and user experience while working with real-world data and constraints Build for Builders: Design frameworks and tools that make it easier for other teams to develop AI-powered experiences Guide Engineering Practices: Collaborate with other engineering teams to define and evolve best practices for AI experimentation, evaluation, and optimization. Provide technical guidance and influence decisions across teams Drive Innovation: Stay on top of the latest in AI technologies (e.g. LLMs, VLMs, Foundation Models), Architecture Patterns such as fine-tuning, RAG, function calling, MCP and more—and bring these innovations to production effectively Optimize for Scale: Ensure AI applications are resilient, performant, and can scale well in production Collaborate Across Functions: Partner with product managers, architects, engineers, and data scientists to bring AI features to life in Autodesk products Minimum Qualifications Masters in computer science, AI, Machine Learning, Data Science, or a related field 10+ years building scalable cloud-native applications, with 3+ years focused on production AI/ML systems Deep understanding of LLMs, VLMs, and foundation models, including their architecture, limitations, and practical applications Experience fine-tuning LLMs using real-world datasets and integrating them into production systems Experience with LLM related technologies including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems, MCP, in production settings Deep understanding of data modeling, system architectures, and processing techniques Experience with AWS cloud services and SageMaker Studio (or similar) for scalable data processing and model development Proven track record of building and deploying scalable cloud-native AI applications using platforms like AWS, Azure, or Google Cloud. Proficiency in Python or TypeScript You love tackling complex challenges and delivering elegant, scalable solutions You can explain technical concepts clearly to both technical and non- technical audiences Preferred Qualifications Experience building AI applications in the CAD or manufacturing domain. Experience designing evaluation pipelines for LLM-based systems (e.g., prompt testing, hallucination detection, safety filters) Familiarity with tools and frameworks for LLM fine-tuning and orchestration (e.g., LoRA, QLoRA, AoT P-Tuning etc.) A passion for mentoring and growing engineering talent Experience with emerging Agentic AI solutions such as LangGraph, CrewAI, A2A, Opik Comet, or equivalents Contributions to open-source AI projects or publications in the field Bonus points if you’ve ever explained RAG to a non-technical friend—and they got it Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! Salary transparency Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description The role aims to leverage data analysis, engineering, and AI/ML techniques to drive strategic business decisions and innovations. This position is responsible for designing and implementing scalable data pipelines, developing innovative models, and managing cloud infrastructure to ensure efficient data processing and storage. The role also involves collaborating with cross-functional teams to translate business needs into technical solutions, mentoring junior team members, and staying abreast of the latest technological advancements. Effective communication, particularly in English, is essential to articulate complex insights and foster a collaborative environment. The ultimate goal is to enhance data-driven decision-making and maintain a competitive edge through continuous improvement and innovation. Data and AI Specialist, Consulting role Key Responsibilities: Python developer experienced with Azure Cloud using Azure Data bricks for Data Science: Create models and algorithms to analyze data and solve business problems Application Architecture: Knowledge of enterprise application integration and application design Cloud Management: Knowledge of hosting and supporting applications of Azure Cloud Data Engineering: Build and maintain systems to process and store data efficiently Collaboration: Work with different teams to understand their needs and provide data solutions. Share insights through reports and presentations Research: Keep up with the latest tech trends and improve existing models and systems Mentorship : Guide and support junior team members Must have: Python development in AI / ML and Data Analysis: Strong programming skills in Python or R, SQL Proficiency in statistical analysis and machine learning techniques Hands on experience in NLP and NLU Experience with data visualization and reporting tools (e.g., Power BI) Experience with Microsoft Power Platforms and SharePoint, including (e.g., Power Automate) Hands on experience if using SharePoint for content management Data Engineering: Expertise in designing and maintaining data pipelines and ETL processes Experience with data storage solutions (e.g. Azure SQL) Understanding of data quality and governance principles Experience with Databricks for big data processing and analytics Cloud Management: Proficiency in cloud platforms (e.g., Azure) Knowledge of hosting and supporting applications of Azure Cloud Knowledge of cloud security and compliance best practices Collaboration and Communication: Experience in agile methodologies and project management tools (e.g., Jira) Strong interpersonal and communication skills Ability to translate complex technical concepts into business terms Experience working in cross-functional teams Excellent English communication skills, both written and verbal Research and Development: Ability to stay updated with the latest advancements in data science, AI/ML, and cloud technologies Experience in conducting research and improving model performance Mentorship: Experience in guiding and mentoring junior team members Ability to foster a collaborative and innovative team environment Must exhibit following core behaviors: Taking ownership / accountability of the projects assigned Qualifications  Bachelor's, Master's in Computer Science, or MCA degree, Data Science, AI/ML, IT, or related fields  7-9 years of relevant experience  Proficiency in Python, R, cloud platforms (Azure), and data visualization tools like Power BI  Advanced certifications and experience with big data technologies, real-time data processing  Excellent English communication skills

We are seeking a Full Stack Developer to join our Cloud Engineering team to build intuitive, scalable, and cloud-integrated applications. You will work across both backend and frontend, primarily using Python and React , to develop modern tools and interfaces supporting cloud automation and internal platforms. The ideal candidate should have hands-on experience in building full-stack applications and exposure to cloud-native environments. Familiarity with infrastructure automation or ML-based systems is a strong plus. Full Stack Development (Primary Role) Build and maintain full-stack applications using Python (FastAPI/Flask) and React.js Design and develop REST APIs and data pipelines for cloud-integrated platforms Design and develop intuitive frontend UIs with modern JavaScript tooling (React, Redux, etc.) Collaborate with backend, DevOps, and UI/UX teams to deliver scalable features Participate in code reviews, design discussions, and performance optimizations Support cloud-native practices such as containerization, serverless, and CI/CD Develop automation scripts for deployment, monitoring, and diagnostics Must-Have Skills 3–6 years of experience with Python (FastAPI, Django, Flask) for backend development Strong proficiency in React.js and related frontend frameworks Solid understanding of API development, authentication, and secure data exchange Experience with databases (SQL or NoSQL), Git workflows, and Docker Familiarity with DevOps practices: CI/CD pipelines, version control, and cloud deployments Strong debugging, problem-solving, and software design skills #ADL

Position : Senior Technical Leader - Backend Location : Mumbai, India [Thane] Team : Engineering Experience : 12+ Years 🚀 Are you a seasoned technical leader looking to drive engineering excellence at scale? At Netcore Cloud, we’re seeking a Senior Technical Leader who brings deep technical expertise, a track record of designing scalable systems, and a passion for innovation. This is a high-impact role where you will lead the architecture and design of mission-critical systems that power user engagement for thousands of global brands. 🛠️ What You’ll Do Architect highly available, scalable, and fault-tolerant backend systems handling billions of events and terabytes of data. Design real-time campaign processing engines capable of delivering 10 million+ messages per minute. Lead development of complex analytics frameworks including cohort analysis, funnel tracking, and user behavior modeling. Drive architecture decisions on distributed systems, microservices, and cloud-native platforms. Define technical roadmaps and work closely with engineering teams to ensure alignment and execution. Collaborate across product, engineering, DevOps, and data teams to deliver business-critical functionality. Mentor engineers and contribute to engineering excellence through code and design reviews, best practice evangelism, and training. Evaluate and implement tools and frameworks for continuous improvement in scalability, performance, and observability. 🧠 What You Bring 12+ years of hands-on experience in software engineering with a strong foundation in Java or Golang and related backend technologies . Proven experience designing distributed systems, microservices, and event-driven architectures . Deep knowledge of cloud platforms (AWS/GCP), CI/CD, containerization ( Docker , Kubernetes ) and infrastructure as code . Strong understanding of data processing at scale using Kafka , NoSQL DBs (MongoDB/Cassandra) , Redis , and RDBMS (MySQL/PostgreSQL). Exposure to stream processing engines (e.g., Apache Storm/Flink/Spark) is a plus. Familiarity with AI tools and their integration into scalable systems is a plus. Experience with application security, fault tolerance, caching, multithreading, and performance tuning. A mindset of quality, ownership, and delivering business value. 💡 Why Netcore? Being first is in our nature. Netcore Cloud is the first and leading AI/ML-powered customer engagement and experience platform (CEE) that helps B2C brands increase engagement, conversions, revenue, and retention. Our cutting-edge SaaS products enable personalized engagement across the entire customer journey and build amazing digital experiences for businesses of all sizes. Netcore’s Engineering team focuses on adoption, scalability, complex challenges, and fastest processing. We use versatile tech stacks like streaming technologies and queue management systems such as Kafka , Storm , RabbitMQ , Celery , and RedisQ . Netcore strikes a perfect balance between experience and agility. We currently work with 5000+ enterprise brands across 18 countries , serving over 70% of India’s Unicorns , positioning us among the top-rated customer engagement & experience platforms. Headquartered in Mumbai, we have a global footprint across 10 countries , including the United States and Germany . Being certified as a Great Place to Work for three consecutive years reinforces Netcore’s principle of being a people-centric company — where you're not just an employee but part of a family. 🌟 What’s in it for You? Immense growth and continuous learning. Solve complex engineering problems at scale. Work with top industry talent and global brands. An open, entrepreneurial culture that values innovation. 📩 Ready to shape the future of digital customer engagement? Apply now— your next big opportunity starts here. A career at Netcore is more than just a job — it’s an opportunity to shape the future. Learn more at netcorecloud.com .

Title: Product Analyst (AI and Asset/Wealth Management) Location: Mumbai, India (Onsite) Fulltime. Job Description: We are seeking a highly skilled and analytical Technical Business Analyst / Product Analyst with a strong background in the Asset and Wealth Management Domain, combined with hands-on experience in Artificial Intelligence (AI) technologies, including LLMs like GPT, NLP, and AI-driven solutions. The ideal candidate will play a critical role in bridging the gap between business objectives and cutting-edge AI solutions, driving innovation and digital transformation initiatives. Key Responsibilities • Collaborate with stakeholders to gather and analyze business requirements related to AI product implementation in the Asset and Wealth Management domain. • Translate business needs into clear, actionable product and technical requirements for development teams. • Drive AI product roadmap planning and help prioritize features with tangible business impact. • Conduct deep-dive analyses of wealth and asset management data to identify opportunities for AI automation, personalization, and process optimization. • Partner with data scientists, machine learning engineers, and AI architects to develop and validate AI models, especially LLM-based use cases like document summarization, intelligent chatbots, fraud detection, etc. • Lead proof-of-concept (PoC) and pilot projects for AI/ML applications in products such as portfolio risk assessment, client service automation, KYC, compliance monitoring, etc. • Monitor AI model performance, suggest continuous improvements, and ensure explainability and regulatory compliance. • Stay up-to-date with the latest AI advancements (especially GPT-4/LLMs), asset and wealth management regulations, and competitive intelligence. Required Qualifications • 7+ years of experience as a Business Analyst or Product Analyst, with at least 2 years in AI/ML or Generative AI-related initiatives. • Proven experience in the Asset and Wealth Management industry (e.g., portfolio management, compliance, AML, KYC, client onboarding, investment advisory). • Familiarity with AI tools, frameworks, and platforms (e.g., OpenAI GPT, Azure OpenAI, Hugging Face, LangChain, etc.). • Strong understanding of AI concepts such as NLP, machine learning pipelines, LLM fine-tuning, embeddings, and vector databases. • Ability to write detailed BRDs, PRDs, and user stories with technical depth. • Experience working in Agile/Scrum environments. • Proficiency in SQL, Excel, and at least one data visualization or analysis tool (e.g., Power BI, Tableau, Jupyter Notebooks). • Excellent communication skills with both technical and non-technical stakeholders. Preferred Qualifications • Formal coursework or certification in AI, Machine Learning, or Data Science (e.g., Coursera, Stanford, DeepLearning.AI, etc.). • Hands-on experimentation with GPT APIs or prompt engineering in real-world projects. • Experience with AI use cases such as intelligent document processing, customer chatbots, RAG pipelines, or automated decision-making. • Exposure to MLOps, AI model monitoring, and explain ability frameworks.

Job Title: Senior Technical Trainer – Cloud, Data & AI/ML Location: Pune Experience Required : 10+ Years About the Role: We’re looking for an experienced and passionate technical trainer who can help elevate our teams’ capabilities in cloud technologies, data engineering, and AI/ML. This role is ideal for someone who enjoys blending hands-on tech skills with a strong ability to simplify, teach, and mentor. As we grow and scale at Meta For Data, building internal expertise is a key part of our strategy—and you’ll be central to that effort. What You’ll Be Doing: Lead and deliver in-depth training sessions (both live and virtual) across areas like cloud architecture, data engineering, and machine learning. Build structured training content including presentations, labs, exercises, and assessments. Develop learning journeys tailored to different experience levels and roles—ranging from new hires to experienced engineers. Continuously update training content to reflect changes in tools, platforms, and best practices. Collaborate with engineering, HR, and L&D teams to roll out training schedules, track attendance, and gather feedback. Support on-going learning post-training through mentoring, labs, and knowledge checks. What We’re Looking For: Around 10 years of experience in a mix of software development, cloud/data/ML engineering, and technical training. Deep familiarity with at least one cloud platform (AWS, Azure, or GCP); AWS or Azure is preferred. Strong grip on data platforms, ETL pipelines, Big Data tools (like Spark or Hadoop), and warehouse systems. Solid understanding of the AI/ML lifecycle—model building, tuning, deployment—with hands-on experience in Python-based libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Confident communicator who’s comfortable speaking to groups and explaining complex concepts simply. Bonus if you hold any relevant certifications like AWS Solutions Architect, Google Data Engineer, or Microsoft AI Engineer. Nice to Have: Experience creating online training modules or managing LMS platforms. Prior experience training diverse audiences: tech teams, analysts, product managers, etc. Familiarity with MLOps and modern deployment practices for AI models. Why Join Us? You’ll have the freedom to shape how technical learning happens at Meta For Data. You’ll be part of a team that values innovation, autonomy, and real impact. Flexible working options and a culture that supports growth - for our teams and our trainers.

Description About TripStack - We are travel tech entrepreneurs, changing the way millions of people travel. Our proprietary virtual interlining technology provides access to billions of travel itineraries by combining flights from different airline carriers that don’t traditionally work together. We take our customers from point A to B via C, including land transportation, at the lowest possible price. We are impacting the way people travel and provide higher margin opportunities to our partners that are some of the largest in the travel industry. We pride ourselves on the performance-driven environment we have created for our teams to prosper and excel in. We come to work ready, to challenge and be challenged. We’re big enough to give our teams support but small enough that every person makes a difference. There are plenty of challenges to champion. Who we are : Etraveli Group is the globally leading company for tech solutions and fulfillment capabilities for online sales of flights. We are here to solve complexity by connecting millions of flights and travelers across the globe, from search and selection to trip and beyond. We hold consumer online travel agency brands like Mytrip, GoToGate & Flight Network and serve exclusively Booking.com with flights. Etraveli Group has also established strategic partnerships with companies like Skyscanner, Google Flights, and TUI. Every day we strive to make the world smaller for our customers and bigger for our people. Our diverse team of more than 2300 passionate professionals is what makes us the industry’s tech wonder and the best in the world at what we do. Our major offices are in Sweden (HQ), Canada, Greece, India, and Poland. Requirements 5+ years of well-rounded travel industry experience (with focus on NDC, GDS or OTAs) Strategic thinker with critical decision making skills Strong experience in data-backed decision making/statistics/market research Output and delivery driven; experience working under pressure in a fast-paced role with significant context switching Highly influential, proactive leader with a strong business acumen Strong technical skills and extensive experience working with APIs Exceptional organizational and project management skills Exceptional communication and negotiation skills Entrepreneurial at heart with a focus on culture building Passion for problem solving and root cause analysis Team player demonstrating awesome leadership skills and desire to help develop employees Outstanding research skills Ability to find the balance between user needs and business goals while questioning and validating assumptions along the way. Responsibilities Help define the vision for our Virtual Interlining (VI) product and create a roadmap in line with business goals. Translate the vision and strategy for the products into tasks for development. Understand the architecture of our VI product and how it interacts with other products and parts of the business. Work very closely with our VI Product Owner and Product Analysts and oversee the execution of our vision for this product. Own the end-to-end development of our VI. Contribute to the planning, execution, and review of each sprint. Manage and prioritize the backlog for our VI team. Be responsible for the P&L of the product with a focus on unit economics and efficiency. Keep internal technical teams accountable for quality output and product delivery. Work towards defining and tracking key KPIs to monitor the impact of delivered features. Lead R&D initiatives, including A/B testing, to enhance the product and work closely with our ML and Data Science teams. Work closely with internal and external stakeholders to understand and anticipate client and user needs. Review existing processes and flows to identify new opportunities and areas that need enhancements including the development process. Complete regular market analysis, always having an eye on the competitive landscape. Collect and analyze information, solve complex problems rationally, and make decisions on time for enhanced productivity. Interview, onboard, and manage direct reports. Provide guidance and be an example to others in the organization. Benefits What it takes to succeed here Ambition and dedication to make a difference and change the way people travel; Where we always play to each other's strength in a high performing team reaching for our common goal. We hold ourselves to the highest expectations, and move with a sense of urgency and hold ourselves accountable and win by staying true to what we believe in. Learn more about our values here What We Offer We offer an opportunity to work with a young, dynamic, and a growing team composed of high-caliber professionals. We value professionalism and promote a culture where individuals are encouraged to do more and be more. If you feel you share our passion for excellence, and growth, then look no further. We have an ambitious mission, and we need a world-class team to make it a reality. Upgrade to a First Class team!

Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical, and commercial domains through engineering, data science, and analytics? Then join Pfizer Digital’s Artificial Intelligence, Data, and Advanced Analytics organization (AIDA) where you can leverage cutting-edge technology to inform critical business decisions and improve customer experiences for our patients and physicians. Our collection of engineering, data science, and analytics professionals are at the forefront of Pfizer’s transformation into a digitally driven organization that leverages data science and advanced analytics to change patients’ lives. The Data Science Industrialization team within Data Science Solutions and Initiatives leads the scaling of data and insights capabilities - critical drivers and enablers of Pfizer’s digital transformation. As the AI and Data Science Production Deployment Lead, you will be a leader within the Data Science Industrialization team charged with driving the deployment of AI use cases and reusable components into full production. You will lead a global team and partner with cross-functional business stakeholders and Digital leaders to catalyze identification, design, iterative development, and continuous improvements of deployment processes to support production data science workflows and AI applications. Your team will define and implement standard processes for quality assurance, testing, data ops, model ops, and dev ops while also providing SDLC, support, platform engineering, and cloud engineering guidance as needed. In addition, you will be responsible for providing critical input into the AI ecosystem and platform strategy to promote self-service, drive productization and collaboration, and foster innovation. Your team will be accountable to key Pfizer business functions (including Pfizer Biopharma, R&D, PGS, Oncology, and Enabling Functions) for production deployments of data science workflows and AI solutions that support major business objectives across all of Pfizer’s core business units. Role Responsibilities Lead deployment of production AI solutions and reusable software components with automated self-monitoring QA/QC processes Implement QA and testing, data ops, model ops, and DevOps for data science workflow products, industrialized workflow accelerators, and best practices in the production deployment of scalable AI/ML analytic insights products Enforce best practices for QA and testing and SDLC production support to ensure reliability and availability of deployed software Act as a subject matter expert for production deployment processes of data science workflows, AI solutions, and reusable software components on cross functional teams in bespoke organizational initiatives by providing thought leadership and execution support Direct QA and testing, data ops and model ops, DevOps, platform and cloud engineering research, advance data science workflow CI/CD orchestration capabilities, drive improvements in automation and self-service production deployment processes, implement best practices, and contribute to the broader talent building framework by facilitating related trainings Set a vision, prioritize workstreams, and provide day-to-day leadership, supervision, and mentorship for a global team with technical & functional expertise that includes QA and testing, DevOps, data science, and operations Coach direct reports to adopt best practices, improve technical skills, develop an innovative mindset, and achieve professional growth through technical and organizational thought leadership Communicate value delivered through reusable AI components to end user functions (e.g., Chief Marketing Office, Biopharma Commercial and Medical Affairs) and evangelize innovative ideas of reusable & scalable development approaches/frameworks/methodologies to enable new ways of developing and deploying AI solutions Partner with other leaders within the Data Science Industrialization team to define team roadmap and drive impact by providing strategic and technical input including platform evolution, vendor scan, and new capability development Partner with AI use case development teams to ensure successful integration of reusable components into production AI solutions Partner with AIDA Platforms team on end to end capability integration between enterprise platforms and internally developed reusable component accelerators (API registry, ML library / workflow management, enterprise connectors) Partner with AIDA Platforms team to define best practices for production deployment of reusable components to identify and mitigate potential risks related to component performance, security, responsible AI, and resource utilization Basic Qualifications Bachelor’s degree in AI, data science, or engineering related area (Computer Engineering, Computer Science, Information Systems, Engineering or a related discipline) 10+ years of work experience in data science, or engineering, or operations for a diverse range of projects 2-3 years of hands-on experience leading data science or AI/ML deployment and operations teams Track record of managing stakeholder groups and effecting change Recognized by peers as an expert in production deployment and AI/ML ops with deep expertise in CI/CD and DevOps for monitoring and orchestration of data science workflows, and hands-on development Understands how to synthesize facts and information from varied data sources, both new and pre-existing, into clear insights and perspectives that can be understood by business stakeholders Clearly articulates expectations, capabilities, and action plans; actively listens with others’ frame of reference in mind; appropriately shares information with team; favorably influences people without direct authority Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component parts and sequences actions appropriately; develops action plans and monitors progress independently; designs success criteria and uses them to track outcomes; engages with stakeholders throughout to ensure buy-in Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork; comfortable providing guidance and sharing expertise with others to help them develop their skills and perform at their best; helps others take appropriate risks; communicates frequently with team members earning respect and trust of the team Experience in translating business priorities and vision into product/platform thinking, set clear directives to a group of team members with diverse skillsets, while providing functional & technical guidance and SME support Ability to manage projects from end-to-end, from requirements gathering through implementation, hypercare, and development of support processes to ensure longevity of solutions Demonstrated experience interfacing with internal and external teams to develop innovative data science solutions Strong understanding of data science development lifecycle (CRISP) Deep experience with CI/CD integration (e.g. GitHub, GitHub Actions or Jenkins) Deep understanding of MLOps principles and tech stack (e.g. MLFlow) Experience working in a cloud based analytics ecosystem (AWS, Snowflake, etc) Highly self-motivated to deliver both independently and with strong team collaboration Ability to creatively take on new challenges and work outside comfort zone Strong English communication skills (written & verbal) Preferred Qualifications Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related discipline Experience in solution architecture & design Experience in software/product engineering Strong hands-on skills for data and machine learning pipeline orchestration via Dataiku (DSS 10+) platform Hands on experience working in Agile teams, processes, and practices Pharma & Life Science commercial functional knowledge Pharma & Life Science commercial data literacy Experience with Dataiku Data Science Studio Ability to work non-traditional work hours interacting with global teams spanning across the different regions (eg: North America, Europe, Asia) Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Information & Business Tech

AI/ML Scientist – Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief In this role as an AI/ML Scientist on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings. You should be able to design, develop, and implement machine learning models, conduct deep data analysis, and support decision-making with data-driven insights. Responsibilities include building and validating predictive models, supporting experiment design, and integrating advanced techniques like transformers, GANs, and reinforcement learning into scalable production systems. The role requires solving complex problems using NLP, deep learning, optimization, and computer vision. You should be comfortable working independently, writing reliable code with automated tests, and contributing to debugging and refinement. You’ll also document your methods and results clearly and collaborate with cross-functional teams to deliver high-impact AI/ML solutions that align with business objectives and user needs. What I'll be doing – your accountabilities? Design, develop, and implement machine learning models, conduct in-depth data analysis, and support decision-making with data-driven insights Develop predictive models and validate their effectiveness Support the design of experiments to validate and compare multiple machine learning approaches Research and implement cutting-edge techniques (e.g., transformers, GANs, reinforcement learning) and integrate models into production systems, ensuring scalability and reliability Apply creative problem-solving techniques to design innovative models, develop algorithms, or optimize workflows for data-driven tasks Independently apply data-driven solutions to ambiguous problems, leveraging tools like Natural Language Processing, deep learning frameworks, machine learning, optimization methods and computer vision frameworks Understand technical tools and frameworks used by the team, including programming languages, libraries, and platforms and actively support debugging or refining code in projects Write and integrate automated tests alongside their models or code to ensure reproducibility, scalability, and alignment with established quality standards Contribute to the design and documentation of AI/ML solutions, clearly detailing methodologies, assumptions, and findings for future reference and cross-team collaboration Collaborate across teams to develop and implement high-quality, scalable AI/ML solutions that align with business goals, address user needs, and improve performance Foundational Skills Mastered Data Analysis and Data Science concepts and can demonstrate this skill in complex scenarios AI & Machine Learning, Programming and Statistical Analysis Skills beyond the fundamentals and can demonstrate the skills in most situations without guidance. Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance: Data Validation and Testing Model Deployment Machine Learning Pipelines Deep Learning Natural Language Processing (NPL) Optimization & Scientific Computing Decision Modelling and Risk Analysis. To understand fundamentals and can demonstrate this skill in common scenarios with guidance: Technical Documentation. Qualifications & Requirements Bachelor’s degree in B.E./B.Tech, preferably in Computer Science, Data Science, Mathematics, Statistics, or related fields. Strong practical understanding of: Machine Learning algorithms (classification, regression, clustering, time-series) Statistical inference and probabilistic modeling Data wrangling, feature engineering, and preprocessing at scale Proficiency in collaborative development tools: IDEs (e.g., VS Code, Jupyter), Git/GitHub, CI/CD workflows, unit and integration testing Excellent coding and debugging skills in Python (preferred), with knowledge of SQL for large-scale data operations Experience working with: Versioned data pipelines, model reproducibility, and automated model testing Ability to work in agile product teams, handle ambiguity, and communicate effectively with both technical and business stakeholders Passion for continuous learning and applying AI/ML in impactful ways Preferred Experiences 5+ years of experience in AI/ML or Data Science roles, working on applied machine learning problems in production settings 5+ years of hands-on experience with: Apache Spark, distributed computing, and large-scale data processing Deep learning using TensorFlow or PyTorch Model serving via REST APIs, batch/streaming pipelines, or ML platforms Hands-on experience with: Cloud-native development (Azure preferred; AWS or GCP also acceptable) Databricks, Azure ML, or SageMaker platforms Experience with Docker, Kubernetes, and orchestration of ML systems in production Familiarity with A/B testing, causal inference, business impact modeling Exposure to visualization and monitoring tools: Power BI, Superset, Grafana Prior work in logistics, supply chain, operations research, or industrial AI use cases is a strong plus Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Job Title: Software Engineer Consultant/Expert 34326 Location: Chennai Work Type: Contract (Onsite) Compensation: Up to ₹21–24 LPA (Based on experience) Notice Period: Immediate joiners preferred Experience: Minimum 7+ years (9 preferred) Position Summary Seeking a skilled and motivated Full Stack Java Developer to join a growing software engineering team responsible for building and supporting a global logistics data warehouse platform. This platform provides end-to-end visibility into vehicle shipments using GCP cloud technologies , microservices architecture , and real-time data processing pipelines . Key Responsibilities Design, develop, and maintain robust backend systems using Java, Spring Boot, and microservices architecture Implement and optimize REST APIs, and integrate with Pub/Sub, Kafka, and other event-driven systems Build and maintain scalable data processing workflows using GCP BigQuery, Cloud Run, and Terraform Collaborate with product managers, architects, and fellow engineers to deliver impactful features Perform unit testing, integration testing, and support functional and user acceptance testing Conduct code reviews and provide mentorship to other engineers to improve code quality and standards Monitor system performance and implement strategies for optimization and scalability Develop and maintain ETL/data pipelines to transform and manage logistics data Continuously refactor and enhance existing code for maintainability and performance Required Skills Strong hands-on experience with Java, Spring Boot, and full stack development Proficiency with GCP Cloud Platform, including at least 1 year of experience with BigQuery Experience with GCP Cloud Run, Terraform, and deploying containerized services Deep understanding of REST APIs, microservices, Pub/Sub, Kafka, and cloud-native architectures Experience in ETL development, data engineering, or data warehouse projects Exposure to AI/ML integration in enterprise applications is a plus Preferred Skills Familiarity with AI agents and modern AI-driven data products Experience working with global logistics, supply chain, or transportation domains Education Requirements Required: Bachelor’s degree in Computer Science, Information Technology, or related field Preferred: Advanced degree or specialized certifications in cloud or data engineering Work Environment Location: Chennai (Onsite required) Work closely with cross-functional product teams in an Agile setup Fast-paced, data-driven environment requiring strong communication and problem-solving skills Skills: rest apis,cloud run,bigquery,gcp,pub/sub,data,data engineering,kafka,microservices,terraform,cloud,spring boot,data warehouse,java,code,etl development,full stack development,gcp cloud platform

Position Title: Software Engineer Consultant/Expert – GCP Data Engineer 34350 Location: Chennai Engagement Type: Contract Compensation: Up to ₹18 LPA Notice Period: Immediate joiners preferred Work Mode: Onsite Role Overview This role is for a proactive Google Cloud Platform (GCP) Data Engineer who will contribute to the modernization of a cloud-based enterprise data warehouse. The ideal candidate will focus on integrating diverse data sources to support advanced analytics and AI/ML-driven solutions, as well as designing scalable pipelines and data products for real-time and batch processing. This opportunity is ideal for individuals who bring both architectural thinking and hands-on experience with GCP services, big data processing, and modern DevOps practices. Key Responsibilities Design and implement scalable, cloud-native data pipelines and solutions using GCP technologies Develop ETL/ELT processes to ingest and transform data from legacy and modern platforms Collaborate with analytics, AI/ML, and product teams to enable data accessibility and usability Analyze large datasets and perform impact assessments across various functional areas Build data products (data marts, APIs, views) that power analytical and operational platforms Integrate batch and real-time data using tools like Pub/Sub, Kafka, Dataflow, and Cloud Composer Operationalize deployments using CI/CD pipelines and infrastructure as code Ensure performance tuning, optimization, and scalability of data platforms Contribute to best practices in cloud data security, governance, and compliance Provide mentorship, guidance, and knowledge-sharing within cross-functional teams Mandatory Skills GCP expertise with hands-on use of services including: BigQuery, Dataflow, Data Fusion, Dataform, Dataproc Cloud Composer (Airflow), Cloud SQL, Compute Engine Cloud Functions, Cloud Run, Cloud Build, App Engine Strong knowledge of SQL, data modeling, and data architecture Minimum 5+ years of experience in SQL and ETL development At least 3 years of experience in GCP cloud environments Experience with Python, Java, or Apache Beam Proficiency in Terraform, Docker, Tekton, and GitHub Familiarity with Apache Kafka, Pub/Sub, and microservices architecture Understanding of AI/ML integration, data science concepts, and production datasets Preferred Experience Hands-on expertise in container orchestration (e.g., Kubernetes) Experience working in regulated environments (e.g., finance, insurance) Knowledge of DevOps pipelines, CI/CD, and infrastructure automation Background in coaching or mentoring junior data engineers Experience with data governance, compliance, and security best practices in the cloud Use of project management tools such as JIRA Proven ability to work independently in fast-paced or ambiguous environments Strong communication and collaboration skills to interact with cross-functional teams Education Requirements Required: Bachelor's degree in Computer Science, Information Systems, Engineering, or related field Preferred: Master's degree or relevant industry certifications (e.g., GCP Data Engineer Certification) Skills: bigquery,cloud sql,ml,apache beam,app engine,gcp,dataflow,microservices architecture,cloud functions,compute engine,project management tools,data science concepts,security best practices,pub/sub,ci/cd,compliance,cloud run,java,cloud build,jira,data,pipelines,dataproc,sql,tekton,python,github,data modeling,cloud composer,terraform,data fusion,cloud,data architecture,apache kafka,ai/ml integration,docker,data governance,infrastructure automation,dataform

We are seeking a dynamic, tech-savvy, and result-driven Account Manager with 6+ years of experience in selling IT services and digital product engineering solutions . The ideal candidate should have a proven track record in B2B sales, particularly in web and mobile development , UI/UX design , and custom software solutions . You will represent BigStep to prospects and clients, delivering high-impact pitches, conducting independent discovery and proposal calls, and nurturing long-term client relationships. Key Responsibilities Take complete ownership of the sales cycle from lead qualification to deal closure. Represent BigStep independently and professionally in client calls, discovery meetings, demos, and presentations. Understand client business challenges and consultatively pitch tailored solutions across web, mobile, UI/UX, product engineering, cloud/DevOps, and AI/ML domains . Convert qualified leads into long-term business relationships through strategic engagement and value-driven storytelling. Prepare and deliver engaging sales presentations, product demos, proposal walkthroughs, and capability decks. Collaborate with internal teams (Engineering, Design, Product) to align proposed solutions with client needs and project feasibility. Foster strong and lasting relationships with key decision-makers to drive repeat business, referrals, and long-term growth. Represent the company at industry events, conferences, and webinars to network and identify new business opportunities. Maintain accurate documentation of sales activities and pipeline through CRM systems. Required Skills 6+ years of experience in B2B IT services or product engineering sales , preferably in digital/web/mobile technology domains. Strong knowledge of software development workflows , UI/UX design principles, product engineering workflows, and digital transformation trends . Exceptional communication and interpersonal skills , with the ability to influence, negotiate, and build trusted relationships. Tech-savvy with a quick grasp of digital platforms, tools, and solutioning approaches. Self-motivated, proactive, and confident in handling independent client engagements and strategic conversations. Experience with CRM tools, pipeline management, and a structured sales methodology.

Job Title: Business Development Executive Experience: 2 to 4 year Location: Ahmedabad Department: Sales About Simform: Simform is a premier digital engineering company specializing in Cloud, Data, AI/ML, and Experience Engineering to create seamless digital experiences and scalable products. Simform is a strong partner for Microsoft, AWS, Google Cloud, and Databricks. With a presence in 5+ countries, Simform primarily serves North America, the UK, and the Northern European market. Simform takes pride in being one of the most reputed employers in the region, having created a thriving work culture with a high work-life balance that gives a sense of freedom and opportunity to grow. Role Overview: We are looking for a dynamic and results-driven Business Development Executive to identify and create new business opportunities for Simform's software services. The ideal candidate will have strong communication skills, experience in lead generation, and a keen understanding of international markets and technologies used in software development. Key Responsibilities Identify and generate business opportunities for Simform's software services. Conduct lead generation through cold calls, cold emails, LinkedIn outreach, and other channels. Utilize LinkedIn effectively for networking and establishing professional connections. Set up meetings and appointments with CXO-level professionals. Develop and maintain relationships with prospective clients to understand their business needs. Collaborate with internal teams to ensure alignment with client requirements and deliverables. Stay updated on international market trends and emerging technologies in software development. Required Skills & Qualifications 1-3 years of experience in business development, sales, or a related field. Strong verbal and written communication skills. Proficiency in using LinkedIn and other professional networking platforms. Basic understanding of different technologies used to build software. Ability to engage with high-level professionals and build long-term relationships. Knowledge of international market trends and business expansion strategies. Benefits Of Joining Us Young Team, Thriving Culture Flat-hierarchical, friendly, engineering-oriented, and growth-focused culture. Well-balanced learning and growth opportunities Free health insurance. Office facilities with a game zone, in-office kitchen with affordable lunch service, and free snacks. Sponsorship for certifications/events and library service. Flexible work timing, leaves for life events, WFH and hybrid options

About the Role We’re looking for top-tier AI/ML Engineers with 6+ years of experience to join our fast-paced and innovative team. If you thrive at the intersection of GenAI, Machine Learning, MLOps, and application development, we want to hear from you. You’ll have the opportunity to work on high-impact GenAI applications and build scalable systems that solve real business problems. Key Responsibilities Design, develop, and deploy GenAI applications using techniques like RAG (Retrieval Augmented Generation), prompt engineering, model evaluation, and LLM integration. Architect and build production-grade Python applications using frameworks such as FastAPI or Flask. Implement gRPC services, event-driven systems (Kafka, PubSub), and CI/CD pipelines for scalable deployment. Collaborate with cross-functional teams to frame business problems as ML use-cases — regression, classification, ranking, forecasting, and anomaly detection. Own end-to-end ML pipeline development: data preprocessing, feature engineering, model training/inference, deployment, and monitoring. Work with tools such as Airflow, Dagster, SageMaker, and MLflow to operationalize and orchestrate pipelines. Ensure model evaluation, A/B testing, and hyperparameter tuning is done rigorously for production systems. Must-Have Skills Hands-on experience with GenAI/LLM-based applications – RAG, Evals, vector stores, embeddings. Strong backend engineering using Python, FastAPI/Flask, gRPC, and event-driven architectures. Experience with CI/CD, infrastructure, containerization, and cloud deployment (AWS, GCP, or Azure). Proficient in ML best practices: feature selection, hyperparameter tuning, A/B testing, model explainability. Proven experience in batch data pipelines and training/inference orchestration. Familiarity with tools like Airflow/Dagster, SageMaker, and data pipeline architecture.

We’re on a mission to design and deliver technology that improves lives. We're expanding our AI capabilities and looking for a Computer Vision Engineer who lives and breathes vision-driven AI systems. Join our collaborative team of innovators to solve meaningful problems across robotics, automation, and enterprise AI platforms. What You'll Do Lead the design, training, and deployment of computer vision models for a variety of applications Tackle real-world problems in image recognition, object detection, tracking, and scene understanding Collaborate closely with engineers and product teams to integrate CV models into autonomous or intelligent systems Research and implement cutting-edge techniques in deep learning and visual AI Optimize models for edge devices and real-time inference in production environments What We're Looking For 5+ years of experience in AI/ML with a strong focus on Computer Vision Proven experience with deep learning frameworks like TensorFlow, PyTorch, and libraries such as OpenCV Hands-on expertise with CNNs, Transformers, YOLO, segmentation models, and real-time inference Strong Python skills and experience deploying models to production Bonus: Experience in robotics, embedded systems, or real-time computer vision solutions Why Join IntimeTec? Be part of a company that values innovation, integrity, and impact Work on high-impact vision systems with real-world deployment Collaborate with a passionate team of engineers solving complex, meaningful challenges Thrive in an environment that supports continuous learning, autonomy, and growth

About the Company: I-PAC (Indian Political Action Committee) is a leading consulting firm that provides innovative, data-driven solutions to tackle the most complex campaign challenges. We specialize in delivering strategic insights and actionable plans that drive growth, enhance performance, and maximize the impact of campaigns. Our expertise lies in aligning creative strategies with seamless execution, ensuring every campaign achieves its goals. From crafting tailored messaging to optimizing campaign logistics, we are committed to delivering results that address immediate needs while building long-term success for our clients. About the Role: Are you someone who sees the story behind every frame? Do you love bringing raw footage to life with your editing skills and creative touch? We’re on the lookout for a talented Video Editor to join our content or post-production team, someone who’s equal parts artist and technician. Whether it's a quick-turnaround reel, a cinematic trailer, or a long-form documentary, you know how to craft visuals that captivate, inform, and inspire. This role is a unique opportunity to shape and influence India's political landscape through impactful visual storytelling. Responsibilities: Editing video content for a wide range of formats- think social media clips, ads, mini-docs, event promos, reels, and more. Cutting together trailers, teasers, and sizzle reels that hit the emotional mark and drive engagement. Weaving compelling narratives using footage, music, graphics, pacing, and transitions. Adding finishing touches like sound design, subtitles, animations, and visual effects to bring videos to life. Working closely with directors, producers, motion designers, and content strategists to align your edits with brand tone and creative goals. Managing multiple projects at once while meeting deadlines and maintaining a high level of polish. Optimizing content for different platforms—YouTube, TikTok, Instagram, OTT, and beyond. Qualifications: At least 2 years of hands-on experience in video editing or post-production. Bachelor’s/Master’s degree from a Tier-1 institute with 1-2 years of experience in Communication, Media, or related field. A solid portfolio that shows versatility in editing styles and storytelling. Proficiency in editing software like Adobe Premiere Pro, After Effects, Final Cut Pro, DaVinci Resolve—or your tools of choice. A good eye for pacing, rhythm, transitions, and overall visual storytelling. Confidence in editing scenes with a sense of flow and emotion—especially for social-first content. Required Skills: Trailer-Cutting Chops: You know how to build emotional momentum and rhythm, especially with music. Motion Graphics Skills: Experience with After Effects or similar tools for animations, title design, and lower thirds. AI Tools Savvy: You've worked with platforms like Chatgpt, Runway ML, Pika, Sora, ElevenLabs, or other generative AI tools to level up your edits. Colour Grading Expertise: Strong sense of color theory, with the skills to give footage that cinematic punch. Sound Design Basics: From syncing to ambient effects, you can make audio feel just right. Green Screen Know-How: Confident with chroma keying and background replacements. Multicam Experience: You’re comfortable syncing and cutting footage from multiple camera angles. Workflow Efficiency: Use of templates, LUTs, presets, and other hacks to streamline your process. Subtitles & Voiceovers: Familiarity with adding multilingual captions and VO integration. If you are passionate about political campaigns, digital strategy, and grassroots mobilization, this role offers a unique opportunity to shape and influence India’s political landscape! Equal Opportunity Statement: We are committed to diversity and inclusivity in our hiring practices.

Relocation Assistance Offered Within Country Job Number #167759 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Brief Introduction – Role Summary/Purpose: Are you passionate about innovation and automation in testing? As a Test Developer in Colgate-Palmolive's Testing Center of Excellence, you will be driving the transformation of business needs into powerful testing solutions—empowering teams to deliver top-quality products. You’ll play a key role in developing, implementing, and evolving automation standards and frameworks, creating real impact across our technology organization. This position is based in Mumbai. Responsibilities: Designing, developing, and delivering innovative automated testing solutions that drive business value. Modeling, documenting, and continuously improving testing processes across the software development lifecycle. Leading the adoption of cutting-edge automation and AI-powered tools, while championing best practices and developer standards. Collaborating across business and IT teams, translating requirements into scalable technical solutions. Maintaining and enhancing test environments and automation frameworks to ensure optimal reliability and performance. Required Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field. 4–5 years of experience with SAP, test automation, test design, and reporting. Advanced expertise with automation tools such as UiPath, Micro Focus UFT, and LoadRunner. Strong grasp of SAP end-to-end processes (e.g., Order to Invoice, Procure to Pay, Logistics). Hands-on experience working with test management tools (e.g., Micro Focus ALM, JIRA). Preferred Qualifications: Engineering degree in Computer Science, Information Technology, or a related technical discipline. Experience or interest in AI/ML-powered testing tools (e.g., UiPath Autopilot). Collaborative mindset and excellent communication skills with business and technical stakeholders. Passion for driving continuous improvement, learning new technologies, and strategic problem-solving.Familiarity with emerging test automation methodologies and tools. Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Wissen Technology is Hiring fo r React Developer About Wissen Technology: Wissen Technology is a globally recognized organization known for building solid technology teams, working with major financial institutions, and delivering high-quality solutions in IT services. With a strong presence in the financial industry, we provide cutting-edge solutions to address complex business challenges. Role Overview: We are looking for a highly skilled React Developer to join our dynamic team in Bangalore . This is a brilliant opportunity to solve complex problems in the financial industry while working with cutting-edge technologies. The ideal candidate will have deep expertise in front-end development and a passion for creating robust, scalable web applications. Required Skills : Should have 4+ years hands on experience in web technologies like JavaScript, HTML5 & CSS. Expert level knowledge of JavaScript including latest edition(s) of JavaScript (ES2023). Knowledge of typescript is a plus. Hands on experience with JavaScript frameworks like React 17 and above versions Good understanding of asynchronous request handling, partial page updates like Promises, RxJS Proficient in advanced CSS3, HTML5 and Bootstrap. Exposure to css -in- js libraries like stylets or others is beneficial. Able to translate mockups in Figma or illustrator to actual working components. Working experience on testing tool like karma/jasmine/enzyme. Basic understanding of nodejs is beneficial. Proficient understanding of code versioning tools, such as Git Excellent analytical/reasoning skills Good team player Excellent written and verbal communication skills The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products. We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance & Test Automation. Over the years, Wissen Group has successfully delivered $1 billion worth of projects for more than 20 of the Fortune 500 companies. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right ’. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them with the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients. We have been certified as a Great Place to Work® company for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider. Great Place to W ork® Certification is recognized world over by employees and employers alike and is considered the ‘Gold Standard ’. Wissen Technology has created a Great Place to Work by excelling in all dimensions - High-Trust, High-Performance Culture, Credibility, Respect, Fairness, Pride and Camaraderie. Website : www.wissen.com LinkedIn : https ://www.linkedin.com/company/wissen-technology Wissen Leadership : https://www.wissen.com/company/leadership-team/ Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All

Wissen Technology is Hiring fo r Network Engineer About Wissen Technology: Wissen Technology is a globally recognized organization known for building solid technology teams, working with major financial institutions, and delivering high-quality solutions in IT services. With a strong presence in the financial industry, we provide cutting-edge solutions to address complex business challenges. Role Overview: We are looking for a highly skilled Senior Network Engineer with over 8 years of experience in LAN/WAN design, network certification, and lab validation of enterprise network systems. The ideal candidate will bring deep technical expertise across Cisco, Arista, and Juniper platforms, and demonstrate the ability to lead complex network initiatives independently. Experience: 8 - 12 Years Location: Bengaluru Required Skills: 8+ years of experience required, extensive experience with LAN/WAN network design, engineering, and code/ feature certification/validation. Experience with testing design and certification of products in LAB environments a MUST CCNP level experience. Strong Knowledge of working with protocols such as OSPF, BGP, QoS, IPSec, PIM Strong Experience with Cisco Platforms such as Catalyst, Nexus, Dell Mi/o, HP 6120/ 6125/ Moonshot family Experience with MAB/ Port Security/ NAC/ 802.1x Strong Knowledge of Certification of new code, and bug Scrubs on IOS/XE/NXOS/ and limited XR Experience with Arista Platforms such as 7280, 7504 etx . Experience developing strategies with multiple vendors Experienced with creating design documents for each certification which includes engineering guidelines. -Experience with Tools such as IXIA to test and certify various designs and troubleshoot networks issues. Good knowledge IP Routing BGP, MP-BGP, OSPF, RIP, MPLS, L2-VPNs, Spanning-tree protocol, Understanding of network protocols, network platforms such as Cisco/Juniper/Arista to design and troubleshoot new implementation. Wireshark Multicast: IGMPv2/3, PIM-SM, PIM-SSM, AutoRP , BSR, Static RP, RP-Anycast, MSDP IP Routing Platforms ISRg2, ASR1K, Catalyst, Juniper MX a plus L2 and L3 QoS Cisco Switching Platforms Cat3K, 4K, 6K, SUP6e/6le/7e/7le/8e SUP32, SUP720. Extensive knowledge of Switching and Switching mechanisms like CEF, TCAM Knowledge on Arista and/ or Juniper switch/ routing platforms are a plus Understanding of new protocols being deployed intra and inter Data Center( LISP,VXLAN , NV-GRE, eVPN ) AWS (or Azure cloud equivalent)... Cloud Computing direct connect/Amazon EC2, Amazon S3, Amazon Simple DB, Amazon Elastic Load Balancing, Amazon DNS and other se Data Center power and cooling, cabling 10/ 25G/40G/50G/100G desired Cloud computing, Virtualization industry standard and trends, server technologies a plus Router hardening technologies, DDoS mitigation, routing protocol encryption, SSH implementation, out-of-band network design, 802.1x, NAC, IPSec Manage vendor, coordinate testing and evaluate PoC Possess ability to interpret data quickly and effectively. Possess ability to perform very complex implementations with little or no guidance and/or oversight from a project manager. Excellent written and verbal communication skills. Must work well in team environment. The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products. We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance & Test Automation. Over the years, Wissen Group has successfully delivered $1 billion worth of projects for more than 20 of the Fortune 500 companies. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right ’. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them with the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients. We have been certified as a Great Place to Work® company for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider. Great Place to W ork® Certification is recognized world over by employees and employers alike and is considered the ‘Gold Standard ’. Wissen Technology has created a Great Place to Work by excelling in all dimensions - High-Trust, High-Performance Culture, Credibility, Respect, Fairness, Pride and Camaraderie. Website : www.wissen.com LinkedIn : https ://www.linkedin.com/company/wissen-technology Wissen Leadership : https://www.wissen.com/company/leadership-team/ Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All Wissen Thought Leadership : https://www.wissen.com/articles/ Employee Speak: https://www.ambitionbox.com/overview/wissen-technology-overview

About Us We are a global leader in food & beverage ingredients. Pioneers at heart, we operate at the forefront of consumer trends to provide food & beverage manufacturers with products and ingredients that will delight their consumers. Making a positive impact on people and planet is all part of the delight. With a deep-rooted presence in the countries where our ingredients are grown, we are closer to farmers, enabling better quality, and more reliable, traceable and transparent supply. Supplying products and ingredients at scale is just the start. We add value through our unique, complementary portfolio of natural, delicious and nutritious products. With our fresh thinking, we help our customers unleash the sensory and functional attributes of cocoa, coffee, dairy, nuts and spices so they can create naturally good food & beverage products that meet consumer expectations. And whoever we’re with, whatever we’re doing, we always make it real . Introduction At ofi, we are at the forefront of harnessing cutting-edge technology to revolutionize our operations. We aim to leverage machine learning and artificial intelligence to drive transformative business outcomes and create value for our clients. We are committed to a culture of innovation, diversity, and continuous improvement, where every team member can contribute and thrive. As a ML Engineer, you will be crucial in developing advanced algorithms and models to tackle complex problems. Your expertise will drive the deployment and upkeep of intelligent systems that enhance our products and services. You will work within a collaborative environment, leveraging data and machine learning to influence business strategies and improve operational efficiency. Key Deliverables Deliver end-to-end ML solutions: Architect and implement state-of-the-art models—classification, regression, clustering, reinforcement learning—precisely tuned to solve high-value business problems. Engineer data & experimentation pipelines at scale: Build reliable, self-service pipelines for ingesting, cleaning, transforming, and aggregating data, and orchestrate rigorous offline/online experiments (cross-validation, A/B tests) to benchmark accuracy, latency, and resource cost. Embed ML seamlessly into products: Partner with data scientists, backend/frontend engineers, and designers to wire models into production services and user experiences, ensuring low-friction integration and measurable product impact. Operate, monitor, and evolve models in production: Own the DevOps stack—automated CI/CD, containerization, and cloud deployment—and run real-time monitoring to detect drift, performance degradation, and anomalies, triggering retraining or rollback as needed. Uphold engineering excellence & knowledge sharing: Enforce rigorous code quality, version control, testing, and documentation; lead code reviews and mentoring sessions that raise the team’s ML craftsmanship. Safeguard data privacy, security, and compliance: Design models and pipelines that meet regulatory requirements, apply robust access controls and encryption, and audit usage to ensure ethical and secure handling of sensitive data. Qualification & Skills Formal grounding in computing & AI: Bachelor’s / Master’s in Computer Science, Data Science, or a related quantitative field. Proven production experience: 4+ years shipping, deploying, and maintaining machine-learning models at scale, with a track record of solving complex, real-world problems. End-to-end technical toolkit: Python (Pandas, NumPy), ML frameworks (TensorFlow, PyTorch, scikit-learn), databases (SQL & NoSQL), and big-data stacks (Spark, Hadoop). MLOps & cloud deployment mastery: Containerization (Docker, Kubernetes), CI/CD pipelines, and monitoring workflows that keep models reliable and reproducible in production. Deep applied-ML expertise: Supervised and unsupervised learning, NLP, computer vision, and time-series analysis, plus strong model-evaluation and feature-engineering skills. Collaboration & communication strength: Clear communicator and effective team player who can translate business goals into technical solutions and articulate results to diverse stakeholders. ofi is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, nationality, disability, protected veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants are requested to complete all required steps in the application process including providing a resume/CV in order to be considered for open roles.

Wissen Technology is Hiring for Java + Python Developer About Wissen Technology: At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time. Job Summary: We’re looking for a versatile Java + Python Developer who thrives in backend development and automation. You'll be working on scalable systems, integrating third-party services, and contributing to high-impact projects across fin tech/data platforms/cloud-native applications Experience: 2-10 Years Location: Bengaluru Mode of work: Full time Key Responsibilities: Design, develop, and maintain backend services using Java and Python Build and integrate RESTful APIs, microservices, and data pipelines Write clean, efficient, and testable code across both Java and Python stacks Work on real-time, multithreaded systems and optimize performance Collaborate with DevOps and data engineering teams on CI/CD, deployment, and monitoring Participate in design discussions, peer reviews, and Agile ceremonies Required skills: 2–10 years of experience in software development Strong expertise in Core Java (8+) and Spring Boot Proficient in Python (data processing, scripting, API development) Solid understanding of data structures, algorithms, and multithreading Hands-on experience with REST APIs, JSON, SQL/NoSQL (PostgreSQL, MongoDB, etc.) Familiarity with Git, Maven/Gradle, Jenkins, Agile/Scrum Preferred Skills: Experience with Kafka, RabbitMQ, or message queues Cloud services (AWS, Azure, or GCP) Knowledge of data engineering tools (Pandas, NumPy, PySpark, etc.) Docker/Kubernetes familiarity Exposure to ML/AI APIs or DevOps scripting Wissen Sites: Website: www.wissen.com LinkedIn: https://www.linkedin.com/company/wissen-technology Wissen Leadership: https://www.wissen.com/company/leadership-team/ Wissen Live: https://www.linkedin.com/company/wissen-technology/posts/feedView=All Wissen Thought Leadership: https://www.wissen.com/articles/

Job Title: AI Technical Project Manager Experience: 10+ Years Location : Chennai / Hyderabad only Industry : Healthcare Job Summary: We are looking for a seasoned AI Technical Project Manager with over 10 years of experience in delivering AI/ML-driven solutions. The ideal candidate started their career as a Machine Learning Engineer and has since evolved into a leadership role, managing end-to-end delivery of AI projects across diverse domains. This role requires strong technical fluency in AI/ML concepts, paired with hands-on program/project management experience in Agile environments. Note: Need Strong knowledge or real-time experience on AI/ML, MLOPS

Your Key Responsibilities Your responsibilities include, but not limited to: Lead a team of 10+ associates to support key deliverables for Region Europe promoting a data-driven decision-making culture through coaching, mentoring, and introducing industry best practices and external perspectives. Conceptualize, design, and develop advanced analytics projects and proof of concepts on prioritized use cases incorporating multiple data sources. Design and implement automated data workflows for complex datasets, collaborating with business and IT teams to expand automation and integrate it with existing systems. Oversee data integration across multiple teams to ensure insights are aligned with business priorities and performance objectives. Collaborate with cross-functional global teams to ensure accurate delivery of key projects. Provide thought leadership to foster a culture of data-driven decision-making. Identify best practices across the organization and industry, providing inputs to the team and the broader community. Drive data-driven innovation and support operational excellence through simplification and automation initiatives. Minimum Requirements What you'll bring to the role: Master's or bachelor's degree in Data Analytics, Data Science, Business, or Engineering is required; an MBA from a reputed institute is preferred. 10+ years of experience in Data Analytics or related fields, with specific experience in producing insights for senior management and building statistical models to address business issues. Experience in Commercial Analytics in the Pharma or Life Sciences industry is preferred. Experience working with large datasets, data visualization tools, statistical software packages, and platforms (specifically Python, advanced SQL, Snowflake, AWS, Databricks, PowerBI, and Alteryx). Demonstrated experience in designing and delivering insights using statistical models, AI/ML, including GenAI is a significant plus. Experience deploying predictive models, user-centric dashboards, cloud-based ELT pipelines, simulation, and optimization models is a significant plus. Project management tools and practices with high proficiency in MS-Excel and PPT required. You'll Receive Breakdown of benefits received in this role. Include flexible working, learning and development opportunities as well. Why Sandoz? Generic and Biosimilar medicines are the backbone of the global medicines industry. Sandoz, a leader in this sector, touched the lives of almost 500 million patients last year and while we are proud of this achievement, we have an ambition to do more! With investments in new development capabilities, state-of-the-art production sites, new acquisitions, and partnerships, we have the opportunity to shape the future of Sandoz and help more patients gain access to low-cost, high-quality medicines, sustainably. Our momentum and entrepreneurial spirit is powered by an open, collaborative culture driven by our talented and ambitious colleagues, who, in return for applying their skills experience an agile and collegiate environment with impactful, flexible-hybrid careers, where diversity is welcomed and where personal growth is encouraged! The future is ours to shape! #Sandoz

Role Overview As a Senior Solution Architect, you will be at the forefront of transforming how our clients harness the power of data. You will collaborate closely with our Sales and Delivery teams to ensure our customers achieve groundbreaking results with their data and AI solutions. With your specific expertise of enterprise environments and leading tools like Snowflake and AWS, you will guide clients through the process of creating groundbreaking solutions requiring advanced Data, ML, and AI architectures. You will play a critical role in sales pursuits, developing technology roadmaps for existing clients, and in developing talent within our delivery teams. Core Responsibilities Collaborate with clients to define Data and AI architectures, strategies and roadmaps. Collaborate with sales and delivery teams to understand customer requirements and develop tailored cloud solutions using Snowflake, AWS, and other data technologies. Develop and deliver proposals and SOWs that delivery teams can successfully execute. Lead, mentor, and inspire a team of data and AI consultants to achieve their full potential Foster a culture of learning and development, encouraging team members to pursue certifications, training, and professional growth opportunities Provide expertise in Snowflake data modelling, ELT using Snowflake SQL, Snowflake Stored Procedures/UDF/advanced SQL scripting, and standard Data Lake/Data Warehouse concepts. Stay current with Snowflake technology innovations, with the ability to recommend and implement the latest technology in client environments. Improve and maintain the OneSix methodology and approach to service delivery. Qualifications 10+ years in technology services in client-facing, consultative leadership roles 5+ years in Data Engineering, Analytics, ML, and/or AI 2+ years of Snowflake experience in enterprise-scale implementations. Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, and virtual warehouses. Experience with data migration to Snowflake cloud data warehouse. Deep understanding of relational data stores, methods, and approaches (star and snowflake, dimensional modelling). Ability to develop and maintain documentation of the data architecture, data flow, and data models of the data warehouse. Strong problem-solving skills and ability to work independently with minimal supervision. Experience working directly with customers in a pre-sales or consulting capacity. Strong communication and presentation skills, with the ability to articulate technical concepts to both technical and non-technical audiences. Relevant certifications (e.g., Snowflake SnowPro Certification, AWS Certified Solutions Architect) preferred. Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Data, or a related field Impactron Benefits Impactron offers an exciting opportunity to become an integral part of a rapidly growing consulting organisation and grow rapidly with it. Impactron offers competitive salaries and excellent incentives, with a strong focus on the physical, financial, and mental well-being of employees. At impactron, you'll work on some of the most prominent organisations across the globe and will work as a trusted advisor to them. There is great potential for developing your career in this early-stage, fast-growing consulting organisation founded by seasoned entrepreneurs who have decades of experience in building, exiting, and running multiple successful organisations. Company Description Impactron Global is a UK-based IT consulting company that operates global capabilities centres (GCCs) in India for our global clients. We are setting up an India centre for a leading data and artificial intelligence (AI) consultancy in the US. They help businesses build the strategy, technology, and teams they need to scale growth and efficiency. You’ll be joining a team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers who seamlessly integrate with client teams to solve their most challenging business problems. Leveraging strategic partnerships with Snowflake, AWS, Matillion, Fivetran, Pyramid Analytics, and more, the company uses modern technology, scalable architectures, and industry best practices. This consultancy is a uniquely powerful business partner to the enterprise, with a talent mix that is nearly impossible to find under one roof. It is a fast-growing firm with significant career opportunities for motivated professionals who want to help create a unique company.

At Viamagus, we are looking for a Technical Engineering Lead – ML/AI who combines deep machine learning expertise with a hands-on, execution-oriented approach to leadership. You will lead by owning architecture, driving complex AI initiatives, and ensuring your team achieves ambitious goals. We’re seeking someone proactive, curious, and passionate about solving real-world problems using AI , including cutting-edge developments in Generative AI, LLMs, and intelligent agents. Key Responsibilities Drive the design, development, and deployment of models, including both traditional and generative (LLMs, agents, fine-tuning). Lead by example —contribute hands-on to model development, data pipelines, and solution implementation. Build and optimize data training and evaluation pipelines for large-scale, high-volume datasets. Translate complex business problems into scalable AI solutions, collaborating across teams. Use creative problem-solving techniques to address challenging engineering issues. Leverage Generative AI to build intelligent systems using LLMs , including prompt engineering, fine-tuning, and multi-agent systems. Develop and maintain robust data pipelines —covering ingestion, transformation, and storage (e.g., data lakes). Ensure clean, reliable input data through preprocessing, quality analysis, and feature engineering. Write and maintain high-quality Python code in production environments. Monitor, evaluate, and optimize model performance post-deployment. Must-Haves 4–7 years of hands-on experience in machine learning and AI, including leadership in technical execution. Strong proficiency in Python . Proven ability to build end-to-end ML pipelines , including training and deployment at scale. Deep understanding and hands-on experience with LLMs, prompt tuning, fine-tuning, and AI agents. Experience working with large datasets and performance-optimized data pipelines. Strong problem-solving ability and a passion for experimentation and learning. Good to Have Familiarity with ClickHouse or other analytical database systems. Exposure to tools such as FastAPI , MLFlow , Meltano , Prefect , or similar. Experience with MLOps and CI/CD for ML systems. Formal foundational education in ML/AI (e.g., academic coursework, certification, or specialization). Educational background in Mathematics, Statistics , or a related quantitative field. Mode: Full-time Location: Remote