2595 Data Science Jobs - Page 13

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications:. Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.. Experience building Machine Learning or Data Science solutions.. Experience writing software in Python, Scala, R, or similar.. Experience with data structures, algorithms, and software design.. Ability to travel up to 30% of the time.. Preferred qualifications:. Experience working with recommendation engines, data pipelines, or distributed machine learning, data analytics, data visualization techniques and software, and deep learning frameworks.. Experience in software development, professional services, solution engineering, technical consulting, architecting and rolling out new technology and solution initiatives.. Experience with core Data Science techniques.. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.. Excellent customer-facing communication and listening skills.. About The Job. The Google Cloud Platform team helps customers transform and build what's next for their business, all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers, developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.. As a Cloud Engineer, you will play a key role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the full potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs. In this role, you will lead the timely execution of adopting the Google Cloud Platform solutions to the customer’s requirements.. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Deliver effective big data and machine learning solutions and solve technical customer issues.. Act as a technical advisor to Google’s customers.. Identify new product features and feature gaps, provide guidance on existing product issues, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.. Deliver best practice recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Job Summary. ServCrust is a rapidly growing technology startup with the vision to revolutionize India's infrastructure. by integrating digitization and technology throughout the lifecycle of infrastructure projects.. About The Role. As a Data Science Engineer, you will lead data-driven decision-making across the organization. Your. responsibilities will include designing and implementing advanced machine learning models, analyzing. complex datasets, and delivering actionable insights to various stakeholders. You will work closely with. cross-functional teams to tackle challenging business problems and drive innovation using advanced. analytics techniques.. Responsibilities. Collaborate with strategy, data engineering, and marketing teams to understand and address business requirements through advanced machine learning and statistical models.. Analyze large spatiotemporal datasets to identify patterns and trends, providing insights for business decision-making.. Design and implement algorithms for predictive and causal modeling.. Evaluate and fine-tune model performance.. Communicate recommendations based on insights to both technical and non-technical stakeholders.. Requirements. A Ph.D. in computer science, statistics, or a related field. 5+ years of experience in data science. Experience in geospatial data science is an added advantage. Proficiency in Python (Pandas, Numpy, Sci-Kit Learn, PyTorch, StatsModels, Matplotlib, and Seaborn); experience with GeoPandas and Shapely is an added advantage. Strong communication and presentation skills. Show more Show less

Business Context. Unilever International is Unilever’s White Space Arm of Unilever and a decacorn in-making. UI has scaled 10x since its launch in 2012 and with a turnover of 1.4 billion € in 2024 it is one of the fastest growing and most profitable sizable business of Unilever. UI caters to the last billion consumers in underserved markets, consumer segments, and channels across 200+ countries and all Unilever categories. As intrapreneurs we deploy an agile innovation model that enables more than 1 launch per day. We introduce Unilever’s brands into white space geographies like Korea, Pacific Islands, Mongolia, and spearhead launches of iconic brands like Dove, Vaseline, Knorr, Surf, TRESemme into big markets like U.S, China, Europe, & Asia.. Crafting product innovations for niches like Corporate Partnership serving Hospitality & Travel retail, marketing to institutional partners like the United Nations, and seeding Unilever brands to overseas diaspora who crave for a taste of their familiar home brands. As well as premium product segments, on-trend formats and D2C innovations globally. We navigate complex and dynamic global regulatory landscape to ensure product compliance and EHS assurance across Personal Care, Beauty & Wellbeing, Homecare, Nutrition & Ice Creams.. Singapore is our global hub leading strategy, marketing thinking, seeding plans, and alignment with the global categories and supply chain. We have a global presence with UI hubs all over the world. R&D is primarily spread across India (Mumbai & Bangalore) & Korea with some resources present globally.. PC is UI’s largest BG representing 42% of UI turnover. Skin cleansing is the largest business for PC (€275 M), with double-digit growth rates. Deo is the second largest PC business (roughly 240M€), while Oral care, Grooming and others contribute to about €50M to PC turnover. B&W is the most profitable BG for UI business growing double digit with an ambition to grow from 400M€ to 600M€. UI Lip care is already number #1 Lip business for Unilever, while Vaseline is number #2 for Unilever. Apart from rapidly rolling BW portfolio globally, UI also has wide mandates for multiple PC & B&W brands including Pears, Camay, Suave, St Ives, Simple among others, wherein UI leads product design globally as per UI mandates. HC & Foods are fast growing BGs for UI representing close to 30% of its turnover.. Job Title: R&D Digital Transformation Lead, Unilever International. Location: Mumbai, Unilever House. Function: Unilever International R&D. Geographic Scope: Global. Travel Requirement: <10%. Purpose Of The Job. This exciting role offers opportunity to make significant impact in embedding Digital Mindset and Digital Initiatives to meet fast track requirements from R&D in UI. Data is/will be the lifeline of UI to drive its ambition in FAST paced environment, and there is a need to adopt digital in routine and cut down on nonvalue adding activities.. Core Responsibilities. Digital Tools relevant to R&D UI – The Roadmap:. First task is to know what we don’t know before solving anything bespoke. You will be responsible to create a typical user journey, or “day in a life” of a R&D professional in UI (E.g.: Conduct user/stakeholder interviews, map day in life of key personals, pain points, what’s working and what’s not, what is needed in future etc.). Once done, engage with Digital Intelligence team in UI & Digital Partners in BG to understand what’s existing that can be adopted and what new needs to be built etc to fill-in the gaps. This roadmap with timings is the crux of how digital ways of working will evolve within UI.. Data Capture and Quality – The Bedrock for everything digital:. Right data collected in a right way is the bedrock to build any successful digital tool, and is one of the most underrated, least understood aspect of digital transformation. In general, a data scientist spends 70 – 75% of its time on just data cleaning and making it fit for model building! At UI, the fast-track nature of job may lead to loss of critical data. Your key job would be to Identify data capture needs for UI R&D processes (the WHAT), engage various digital teams to understand HOW can it be captured automatically, and propose relevant digital tools (WHERE) to record UI data. Propose the ways of working (as needed) to capture minimum / core / good to have in relevant tools, and how that information will be exploited. Ensure data quality checks and balances followed by Digital Data Quality Teams with KPI’s and bring them inside UI (improve as needed). Explore how data capture tools can be added as a part of project approval process before final launches happen, so that critical information is not lost.. Digital Tools Integration outside R&D, but relevant to R&D – The Efficiency:. One of the most exciting and quick wins is to leverage existing tool not well known across Unilever functions and bring information at fingertips for quick decision making. You will be responsible for identifying areas to cut down information availability for R&D, especially from other functions such as marketing (sales for eg.) or supply chain (such as raw material pricing, volume, location used etc) or how relevant info can be extracted from existing data capture system with ease (eg. PLM, AWS, SDC etc.). This also involves creating simple power BI dashboard, integrating existing disjoint systems for data flow, while protecting data privacy (eg. Access based on role and requirement).. Success Stories, Adoption KPI, Stakeholder and Digital Transformation the Present and Future:. Nothing drives success like success stories! Engaging 100% UI R&D team for digital adoption, sharing best practices, solving pain points through digital, cutting time spent of non-value adding activities, engaging last user and senior stakeholder together, and having a sense of success through clear KPI’s is critical to keep digital transformation on track. You are expected to share success stories from UI (to UI from R&D etc), carrying out regular feedback survey (such as Net Promotor Score survey), connect with digital leader across R&D to bring ‘whats-new’ and solve real pain points. Building futuristic road map on digital revolution in UI on “Digital Normal” will work in UI, will help you bring futuristic digital tool (such as AI bots, first product design in 24-hours etc., data driven quick decisions etc) to meet UI ambitions.. Apart from above core responsibilities, you will be engaging various digital leads across R&D, be UI representative in relevant R&D forums for digital, engage external (non UI) stakeholder as relevant to bring “Digital IN” for UI.. Preferred Skills. Digital first Mindset: MUST be confident and knowledgeable in use of digital tools and challenge the status quo as “Why NOT” use the digital tool.. Effective Storyteller: Excellent written and verbal communication skills, enjoys storytelling, with ability to convey complex (even scientific) information in a simple and engaging manner. Adapts communication style to different people and settings.. Team Player: Role demands working together with diverse set of teams spread across multi-cultural / geographical / functional etc. You are expected to be able to work in such diverse settings and get moving.. Problem Solver and Analytical: MUST think on solutions and approaches to overcome any issues faced in day to day working and influence right people to get the job done.. Engage Stakeholders: Right message to stakeholder and get buy-in is critical to digital transformation, and the skill to influence stakeholders in right direction will be key to get buy-in and embed digital in UI ways of working.. Desired Qualification & Experience. Bachelors/Masters in any STEM is a must. Formal qualification in Data science is highly desirable.. Experience in data sciences, big data or use/implementation of digital tools with be a BIG Advantage,. Experience is digital transformation roles, and/or project leader experience is also a PLUS for this role,. MUST have a minimum work experience of 3 – 4 years in any role in Unilever. Standards of Leadership: (Unilever International). CARE DEEPLY to nurture our tribe and work and win together. FOCUS ON WHAT COUNTS – Consumer and customer obsession. STAY THREE STEPS AHEAD to drive hunger for growth. DRIVE WITH EXCELLENCE & Passion for execution. DIGITAL YODA (Digital first mindset). Show more Show less

Join our Team. About This Opportunity. Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at Ericsson. As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain. This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments.. What You Will Do. Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI.. Utilize Python for data manipulation, analysis, and modeling tasks.. Proficient in SQL for querying and analyzing large datasets.. Experience with Docker and Kubernetes for containerization and orchestration of applications.. Basic knowledge of PySpark for distributed computing and data processing.. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.. Deploy machine learning models into production environments and ensure scalability and reliability.. Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment.. Experience in analysing complex problems and translate it into algorithms.. Backend development in Rest APIs using Flask, Fast API. Deployment experience with CI/CD pipelines. Working knowledge of handling data sets and data pre-processing through PySpark. Writing queries to target Casandra, PostgreSQL database.. Design Principles in application development.. The Skills You Bring. Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or PhD is preferred.. 3-7 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry.. Proven experience in model development, evaluation, and deployment.. Strong programming skills in Python and SQL.. Familiarity with Docker, Kubernetes, and PySpark.. Solid understanding of machine learning techniques and algorithms.. Experience working with cloud platforms, preferably GCP.. Excellent problem-solving skills and ability to work independently as well as part of a team.. Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders.. Why join Ericsson?. At Ericsson, youll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of whats possible. To build solutions never seen before to some of the world’s toughest problems. Youll be challenged, but you won’t be alone. Youll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.. What happens once you apply?. Click Here to find all you need to know about what our typical hiring process looks like.. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.. Primary country and city: India (IN) || Bangalore. Req ID: 763993. Show more Show less

Job Purpose:. The purpose of the international Ideation team is to strengthen the Haworth brand, enhance market influence, sales and dealer relationships, through high quality research and workplace insights, leading edge tools, training and application, to help customers align their business strategies with their workplace.. Haworth Ideation Services connect links between workspace design and human behaviour, health, performance, and the quality of the user experience. They are a key link in leading global clients through research data interpretation and analysis, to help shape and give form to viable workplace strategies and design solutions.. The Ideation Workplace Advisor is responsible for the efficient planning, scheduling, coordinating and supervising of the installation, measurement and reporting of Haworth Analytics projects as well as an active client advisory role from a workplace strategy perspective.. A glimpse of your daily mission:. Supplier Management. Develops alliances with Haworth’s technology, hardware and platform partners, including legal frameworks, pricing structures and clear agreements on market communication.. Ensures Haworth is the driver of the alliance and that the alliance is leveraged to increase sales and network.. Benchmarks service offerings and pricing metrics to gauge competitiveness in cost, efficiency and experience.. Keeps up to date with emerging trends in utilization measurement, workplace platforms and best practices.. Supports the pilot trial of new products, platforms and services offered by established and new partners.. Manages hardware assets and related logistics; purchase orders, batteries, on-site delivery and installation.. Business Development. Identify client opportunities and work with regional and global colleagues to develop and deliver Ideation initiatives. Opportunities development and pipeline management using Microsoft Dynamics Vine CRM and other tracking tools.. Identify client key decision makers and work with the sales team to schedule meetings and pitch services.. Drive Haworth’s Ideation services strategy to support dealers, knowledge partners, designers and consultants.. Support the sales and marketing teams in client-facing interactions and positioning discussions, to differentiate Haworth utilizing Ideation services, research and digital tools.. Provide support and content on RFI and RFP responses for Ideation services.. Take a leading role in pitching for new business and responding to ‘Requests for Information’: Proposing service methodologies, Fee and resource calculations, Writing relevant case studies, Preparing interactive pitch presentations that will engage the audience. Lead the client relationship, in regard to Ideation service projects, as the day-to-day contact.. Develops and manages relationships with designers & architects, workplace consultants, knowledge partners, suppliers, partner organizations, professional organizations, and academia to support the market and sub regional sales strategy.. Analytics Project Management. Develops and maintains project schedule and budget to ensure it is in line with approved pricing.. Keeps track of the timeline to ensure on-time delivery and project execution.. Constantly streamlines processes and tracking costs to ensure project profitability.. Leads project meetings to define key goals and objectives.. Leads milestone meetings with internal / external team members and project stakeholders.. Leads interactive, stakeholder engagement initiatives such workshops, interviews, focus groups, presentations. Develop and direct the work of the installation and dealership customer service team.. Contracts with and manages independent installation teams as required to meet installation schedules as well as validate and ensure Haworth’s standard of installation is maintained by all installation contractors.. Develops business plans and budgets necessary to ensure the necessary resources are allocated.. Coordinate the delivery, receiving and installation of materials necessary to complete customers’ orders.. Coach installers to equip them with the necessary knowledge on handling and installation. Determine and implement the appropriate corrective actions to resolve delivery or installation issues.. Promotes Haworth’s project management services such as reconfiguration and asset management.. Ensure all contractors under his charge safeguard the reputation and premium image of Haworth.. Verify all contractors’ billings and specify all sales project codes for accurate project cost accounting. Workplace Analysis & Reporting. Measures and analyzes workplace effectiveness through discussion, site observation, space utilization and benchmarking studies. Directs and leads data gathering and analysis to ensure conclusions are robust. Undertake development strategy reviews providing comment and analysis on: Time Utilization Studies, Space Benchmarking, Meeting room occupancy data, User group profiling, Identifies utilisation patterns and variances. Direct the production of presentation & report collateral, ensuring a presentation of analysis, ideas and recommendations is comprehensible, concise, coordinated and conclusive: Space planning, Sharing densities, Furniture and space types, location, deficiencies, etc., Floor-plate configuration, including efficiency analysis etc., Amenities and shared spaces and services provision.. Direct and lead development of recommendations for implementation which may include: Change Management assessment, Revised space planning, sharing densities, furniture and space types, location, floor-plate configuration etc., ‘Strategic Brief’ for handover to a design team (internal or external). May include an active oversight role (client facing or internal), from a workplace strategy perspective, as the project moves through design phases.. Continuously challenge, develop and improve our methodologies, strategies and presentation of utilization data through research, data science peer review, further education and partner engagement.. Continue to expand on an in-depth knowledge of workplace specific requirements and workplace trends through professional development and research.. Continually seeks out and shares insights to new connections between Ideation workplace knowledge and applied design to inform improvements in the Ideation workplace advisory component and workplace tools.. Creates case studies for completed projects, publishing internally and externally with customer approval.. Captures learning from client projects and coordinates with department leads to present findings and inform leaders of Ideation, Product Development, Marketing, Architectural and Design (A&D), Sales, and Dealer Distribution.. Leads as an active agent in continuous training and development of all regional team members, continually focused on Ideation Services as a consolidated services proposition.. Provides thought leadership in the area of workplace strategy through knowledge sharing, participation and facilitation to help evolve the workplace, people within it and the technologies used.. Participating and representing Haworth at key industry events and supporting Haworth’s position as a workplace knowledge leader.. Supports research projects to develop and improve Ideation consulting, research tools and databases.. Supports the development, enhancement, marketing and client utilization of Haworth’s Ideation tools and services.. Utilizes knowledge of technology, planning and specification software, particularly CoWorkr, CoDesigner and PCon, to improve work/communication and create deliverables for client planning and design projects.. Spends appropriate levels of time in local and subregional markets, requiring overnight and occasional travel away from “home” office.. May include an active oversight role (client facing or internal), from a workplace strategy perspective, as the project moves through design phases.. Continuously challenge, develop and improve our methodologies, strategies and presentation of utilization data through research, data science peer review, further education and partner engagement.. Continue to expand on an in-depth knowledge of workplace specific requirements and workplace trends through professional development and research.. Continually seeks out and shares insights to new connections between Ideation workplace knowledge and applied design to inform improvements in the Ideation workplace advisory component and workplace tools.. Creates case studies for completed projects, publishing internally and externally with customer approval.. Captures learning from client projects and coordinates with department leads to present findings and inform leaders of Ideation, Product Development, Marketing, Architectural and Design (A&D), Sales, and Dealer Distribution.. Takes initiative, works well independently in addition to a remote team setting.. Your Qualifications :. A university or technical school degree in design, architecture, data analysis or a similar field of study, with minimum 5 years’ work experience.. Project management experience in the contract office furniture industry.. Ability to read and interpret blue-prints, CAD drawings and layouts. Working knowledge of AutoCad, Indesign (Creative Suite), Excel, PowerPoint and Office. Ability to space plan and critique space plans. Knowledge of specific occupier planning requirements, base building specifications. Knowledge of, workplace strategies such as Activity Based Working, Agile Working etc.. Strong analytical problem-solving skills. Demonstrate problem-solving skills, and a high degree of professionalism and integrity.. Effective and proven client and relationship management skills. Show more Show less

Commitment: 10-20 hours/week for 1–2 months (with potential extension).. Compensation: Among the highest in the industry, aligned with experience and expertise.. Who should apply. We are not looking for general translators, freelancers, or content writers. We are looking for the top 1% of academic and cultural experts who meet all the following:. Native fluency in one or more of the following (reading and writing):. Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Tamil, Telugu, or Punjabi. Strong command of English (for prompt interpretation and evaluation). Deep academic or research expertise in History or Literature & Linguistics. PhD, MPhil, or Master’s degree is preferred, but credible, extensive experience in the field is also valued.. Passion for precision, language, and cultural nuance. Based in the respective state/region where the language is natively spoken. Comfortable using AI tools like ChatGPT, Claude, Gemini, etc.. Your Role? Challenge and Teach AI Models to Understand the Depth of Indian History and Literature in Your Language. Design advanced, historically and culturally rooted prompts in your regional language that challenge state-of-the-art AI models. Evaluate model outputs for factual accuracy, literary nuance, historical context, tone, and regional relevance. Identify blind spots and weaknesses in current AI understanding within your domain. Collaborate with an international team shaping how AI understands Indian languages, history, literature, and knowledge systems. This is not a translation or content-writing gig. We're seeking true experts to shape the next generation of language models.. Show more Show less

AEP Data Architect. 10+ years of strong experience with data transformation & ETL on large data sets. Experience with designing customer centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale etc.). 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). 5+ years of complex SQL or NoSQL experience. Experience in advanced Data Warehouse concepts. Experience in industry ETL tools (i.e., Informatica, Unifi). Experience with Business Requirements definition and management, structured analysis, process design, use case documentation. Experience with Reporting Technologies (i.e., Tableau, PowerBI). Experience in professional software development. Demonstrate exceptional organizational skills and ability to multi-task simultaneous different customer projects. Strong verbal & written communication skills to interface with Sales team & lead customers to successful outcome. Must be self-managed, proactive and customer focused. Degree in Computer Science, Information Systems, Data Science, or related field. Key Responsibilities. 10+ years of strong experience with data transformation & ETL on large data sets. Experience with designing customer centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale etc.). 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). 5+ years of complex SQL or NoSQL experience. Experience in advanced Data Warehouse concepts. Experience in industry ETL tools (i.e., Informatica, Unifi). Experience with Business Requirements definition and management, structured analysis, process design, use case documentation. Experience with Reporting Technologies (i.e., Tableau, PowerBI). Experience in professional software development. Demonstrate exceptional organizational skills and ability to multi-task simultaneous different customer projects. Strong verbal & written communication skills to interface with Sales team & lead customers to successful outcome. Must be self-managed, proactive and customer focused. Degree in Computer Science, Information Systems, Data Science, or related field. Requirements & Qualifications. 10+ years of strong experience with data transformation & ETL on large data sets. Experience with designing customer centric datasets (i.e., CRM, Call Center, Marketing, Offline, Point of Sale etc.). 5+ years of Data Modeling experience (i.e., Relational, Dimensional, Columnar, Big Data). 5+ years of complex SQL or NoSQL experience. Experience in advanced Data Warehouse concepts. Experience in industry ETL tools (i.e., Informatica, Unifi). Experience with Business Requirements definition and management, structured analysis, process design, use case documentation. Experience with Reporting Technologies (i.e., Tableau, PowerBI). Experience in professional software development. Demonstrate exceptional organizational skills and ability to multi-task simultaneous different customer projects. Strong verbal & written communication skills to interface with Sales team & lead customers to successful outcome. Must be self-managed, proactive and customer focused. Degree in Computer Science, Information Systems, Data Science, or related field. Show more Show less

About BeGig. BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you’re not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise.. Your Opportunity. Join our network as an AI Agent Workflow Engineer and help build smart, autonomous systems using LLMs and multi-agent frameworks. You'll design intelligent task automation flows powered by tools like LangChain, AutoGen, CrewAI, and integrate them with APIs, vector databases, and real-world data sources.. This is a unique opportunity to work at the forefront of autonomous AI, all while enjoying complete flexibility and remote work.. Role Overview. As an AI Agent Workflow Engineer, you will:. Design Multi-Agent Systems: Create intelligent agents capable of collaboration, tool usage, and task delegation.. Build Real-Time Workflows: Implement complex workflows where agents interact with users, APIs, and external data sources.. Integrate & Deploy: Deploy agent systems into real-world products across industries like SaaS, eCommerce, operations, and content.. What You’ll Do. Agentic System Development:. Build custom AI agents using frameworks like AutoGen, CrewAI, LangChain Agents, or similar tools.. Define agent roles, behaviors, goals, and memory strategies for specific use cases (research, operations, customer support, etc.).. Set up inter-agent communication, task routing, and tool execution pipelines.. Integration & Deployment:. Connect agent workflows with APIs, databases, or third-party services.. Use vector databases (Pinecone, Weaviate, Qdrant) for retrieval-augmented generation (RAG) and persistent memory.. Deploy applications via FastAPI, Flask, or serverless environments for scalable use.. Technical Requirements & Skills. Experience: 2+ years in AI/ML, backend development, or agent systems.. Languages: Strong in Python (required); knowledge of JS/TS is a plus.. Frameworks: Hands-on experience with AutoGen, LangChain Agents, CrewAI, LlamaIndex, or similar.. LLM APIs: Proficient with OpenAI, Anthropic, Gemini, and open-source LLMs.. Databases: Familiarity with vector databases like Pinecone, FAISS, Weaviate, or Qdrant.. Bonus: Understanding of prompt engineering, chaining logic, and autonomous agent design principles.. What We’re Looking For. An engineer who can translate business goals into autonomous agent workflows.. A systems thinker who understands orchestration, data flow, and real-time execution.. A self-motivated freelancer who thrives in fast-paced environments and cutting-edge tech.. Why Join Us?. Immediate Impact: Work on real-world AI agent use cases driving real outcomes.. Remote & Flexible: Choose your hours and engagements—hourly or project-based.. Future Opportunities: BeGig keeps you matched with the latest in agent automation and GenAI engineering.. Innovative Community: Join a forward-thinking network shaping the future of intelligent systems.. Ready to orchestrate the future with AI agents?. Apply now to become a key AI Agent Workflow Engineer for our client and a valued member of the BeGig network!. Show more Show less

Role & responsibilities This Business Analyst role is focused on candidates with hands-on experience in AI and Machine Learning projects. Experience in traditional BA roles alone may not align with the requirements. Collaborate with business stakeholders to gather and document requirements for OCR and AI-driven projects and initiatives. Work with developers and data scientists and developers to design OCR/ICR solutions and AI and machine learning solutions that align with business goals. Manage and oversee OCR/ICR and AI projects from conception to implementation, ensuring timely delivery and meeting project objectives. Communicate project progress and findings to stakeholders, including non-technical team members. Create comprehensive documentation of project requirements, processes, and outcomes. Conduct testing and validation of OCR/ICR and AI models to ensure accuracy and reliability. Preferred candidate profile Proven experience as a Business Analyst or similar role, preferably in OCR/ICR, AI or data-driven projects. Relevant certifications in AI, data analysis, or project management (CBAP, PMP, AI-related certifications)

Date 18 Jun 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling, and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your product management and AI expertise in a cutting-edge field. Youll work alongside innovative, collaborative, and forward-thinking teammates. You'll shape the future of our data platform and AI product, driving its vision, strategy, and roadmap to align with business objectives. Day-to-day, youll work closely with teams across the business (engineering, data science, and customer success teams), act as the primary liaison between stakeholders, and ensure the successful delivery of transformative solutions. Youll specifically take care of defining product requirements and leading agile development processes, but also monitoring performance and integrating AI capabilities. Well look to you for: Developing and communicating a clear product vision and strategy for the data platform and AI product Aligning product strategy with business objectives and market opportunities Translating business requirements into detailed user stories and technical specifications Leading agile development processes and ensuring the team understands product goals Defining acceptance criteria and collaborating with QA teams to ensure quality Monitoring key performance indicators (KPIs) and optimizing product performance Driving AI capability integration into the data platform Preparing comprehensive documentation, including user manuals and training materials Organizing and continuously improving program development processes Coordinating technical interfaces and ensuring configuration consistency All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field Extensive knowledge of data platforms and AI technologies Experience or understanding of agile methodologies and product management practices Strong analytical and problem-solving abilities using data-driven approaches A proven track record in leading complex products and delivering value Excellent communication and interpersonal skills to engage stakeholders effectively Proficiency in project management tools and software Familiarity with managing AI/ML projects and integrating AI capabilities Experience in stakeholder engagement and managing cross-functional teams Strong documentation skills to ensure accurate and comprehensive information capture Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges, and a long-term career free from boring daily routines Work with new security standards for rail signalling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilise our flexible and inclusive working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards leadership or specialized roles within product management Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Date 18 Jun 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your comprehensive DevOps expertise in a new cutting-edge field. Youll work alongside innovative, collaborative, and forward-thinking teammates. You'll own the entire DevOps lifecycle of our products, ensuring smooth code integration with CI/CD, optimizing release management processes, and automating and managing deployment environments. Day-to-day, youll work closely with teams across the business (IoT experts, data scientists, software engineers, and data architects), standardize software development release management processes, and much more. Youll specifically take care of creating a well-informed cloud strategy and managing the adaption process, but also provide technical support and guidance to our users. Well look to you for: Ensuring smooth code integration with CI/CD pipelines Optimizing release management and automating deployment environments Creating and managing a cloud strategy (Azure and on-premise) Standardizing the software development release management process Troubleshooting and providing technical support and guidance Writing and maintaining technical documentation Guiding users on best practices for container-based applications All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: A Bachelor's or Masters degree in computer science & information systems or related engineering A strong background in DevOps with hands-on configuration and deployment Knowledge of Ansible, Terraform, Python, and scripting (PowerShell/Python/Bash) Familiarity with containerization technologies such as Docker and Kubernetes (CKA certification is a plus) Experience with Azure cloud-based provisioning, deployment, and monitoring Understanding of platform security best practices Proficiency in source control/configuration management including Git, and GitLab; familiarity with Azure DevOps and Visual Studio Code is a plus Collaborative spirit with proven capabilities in working with international teams Experience in working with data engineering and data science teams is a plus Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges and a long-term career free from boring daily routines Work with new security standards for rail signalling Collaborate with transverse teams and helpful colleagues Contribute to innovative projects Utilise our agile and flexible working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning Progress towards leadership and advanced technical roles Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you!

Career Area: Technology, Digital and Data : Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you'rejoining a global team who cares not just about the work we do but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don'tjust talk about progress and innovation here we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. JOB PURPOSE: The Lead Management Product team is hiring! Will you embrace that challenge The Lead Management Product Teams mission is to deliver qualitative sales and marketing leads through our digital application to our internal customersIndustries and Dealers in order to drive services revenue through our digital product. JOB DUTIES: At the Interface of Business and Analytics, the Lead Management analyst is a key player to connect these two worlds together. The Lead Management analyst main mission is to leverage various datasets and develop/sustain services leads in partnership with sales and marketing teams. The individual will also participate in specific projects aiming at further strengthening the lead management digital product. Responsibilities will include: Gather and implement business requirements for leads development Analyze feedback information to improve leads quality Provide business recommendations to internal partners based on quantitative and qualitative data Improvement, enhancement and development of specific dataset based on opportunities Drive processes improvement and automation of lead generation application Coordination with Data & BI Team Users data support and training The Lead Management analyst demonstrates excellent communication skills, being able to explain lead management analytics to customers with limited data knowledge and experience and at the same being able to interact with Data Engineers on technical details. He or she is a fast learner and is able to find creative ways to transform data into sales & marketing recommendations. Additionally, he or she should also exhibit strong planning and organization skills. If you: Like working in a challenging yet rewarding analytical international environment Truly believe that data can be translated into valuable and monetized information Like helping internal customers beyond initial requirements Want to grow and acquire new skills Do not hesitate to apply! Basic : Master or bachelors degree in finance, Accounting, Data Science, Engineering, Business administration, Economics, Marketing, Law, other Advanced SQL Knowledge Business Knowledge in a specific area or dealer exposure Excellent analytical skillsability to interpret data to solve business issues & vulgarize results for a large and diverse audience Ability to manipulate data and create meaningful visualization Aftermarket services understanding Basic programming skills in any language, preferably Python Top Candidates Will Also Have: Alteryx, Tableau and any data visualization software Advanced programming skills in any language Product knowledge, Applications knowledge, dealer knowledge Project management Track record of getting things done Fast learner Ability to work independently and reach out in a timely and relevant manner Good communication & presentation skills Ability to influence other groups and teams Posting Dates: June 17, 2025 - June 24, 2025 Caterpillar is an Equal Opportunity Employer. Not ready to applyJoin our Talent Community.

Career Area: Technology, Digital and Data : Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you'rejoining a global team who cares not just about the work we do but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don'tjust talk about progress and innovation here we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. JOB PURPOSE: The Lead Management Product team is hiring! Will you embrace that challenge The Lead Management Product Teams mission is to deliver qualitative sales and marketing leads through our digital application to our internal customersIndustries and Dealers in order to drive services revenue through our digital product. JOB DUTIES: At the Interface of Business and Analytics, the Lead Management analyst is a key player to connect these two worlds together. The Lead Management analyst main mission is to leverage various datasets and develop/sustain services leads in partnership with sales and marketing teams. The individual will also participate in specific projects aiming at further strengthening the lead management digital product. Responsibilities will include: Gather and implement business requirements for leads development Analyze feedback information to improve leads quality Provide business recommendations to internal partners based on quantitative and qualitative data Improvement, enhancement and development of specific dataset based on opportunities Drive processes improvement and automation of lead generation application Coordination with Data & BI Team Users data support and training The Lead Management analyst demonstrates excellent communication skills, being able to explain lead management analytics to customers with limited data knowledge and experience and at the same being able to interact with Data Engineers on technical details. He or she is a fast learner and is able to find creative ways to transform data into sales & marketing recommendations. Additionally, he or she should also exhibit strong planning and organization skills. If you: Like working in a challenging yet rewarding analytical international environment Truly believe that data can be translated into valuable and monetized information Like helping internal customers beyond initial requirements Want to grow and acquire new skills Do not hesitate to apply! Basic : Master or bachelors degree in finance, Accounting, Data Science, Engineering, Business administration, Economics, Marketing, Law, other Advanced SQL Knowledge Business Knowledge in a specific area or dealer exposure Excellent analytical skillsability to interpret data to solve business issues & vulgarize results for a large and diverse audience Ability to manipulate data and create meaningful visualization Aftermarket services understanding Basic programming skills in any language, preferably Python Top Candidates Will Also Have: Alteryx, Tableau and any data visualization software Advanced programming skills in any language Product knowledge, Applications knowledge, dealer knowledge Project management Track record of getting things done Fast learner Ability to work independently and reach out in a timely and relevant manner Good communication & presentation skills Ability to influence other groups and teams Posting Dates: June 17, 2025 - June 24, 2025 Caterpillar is an Equal Opportunity Employer. Not ready to applyJoin our Talent Community.

Career Area: Technology, Digital and Data : Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you'rejoining a global team who cares not just about the work we do but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don'tjust talk about progress and innovation here we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. JOB PURPOSE: The Lead Management Product team is hiring! Will you embrace that challenge The Lead Management Product Teams mission is to deliver qualitative sales and marketing leads through our digital application to our internal customersIndustries and Dealers in order to drive services revenue through our digital product. JOB DUTIES: At the Interface of Business and Analytics, the Lead Management analyst is a key player to connect these two worlds together. The Lead Management analyst main mission is to leverage various datasets and develop/sustain services leads in partnership with sales and marketing teams. The individual will also participate in specific projects aiming at further strengthening the lead management digital product. Responsibilities will include: Gather and implement business requirements for leads development Analyze feedback information to improve leads quality Provide business recommendations to internal partners based on quantitative and qualitative data Improvement, enhancement and development of specific dataset based on opportunities Drive processes improvement and automation of lead generation application Coordination with Data & BI Team Users data support and training The Lead Management analyst demonstrates excellent communication skills, being able to explain lead management analytics to customers with limited data knowledge and experience and at the same being able to interact with Data Engineers on technical details. He or she is a fast learner and is able to find creative ways to transform data into sales & marketing recommendations. Additionally, he or she should also exhibit strong planning and organization skills. If you: Like working in a challenging yet rewarding analytical international environment Truly believe that data can be translated into valuable and monetized information Like helping internal customers beyond initial requirements Want to grow and acquire new skills Do not hesitate to apply! Basic : Master or bachelors degree in finance, Accounting, Data Science, Engineering, Business administration, Economics, Marketing, Law, other Advanced SQL Knowledge Business Knowledge in a specific area or dealer exposure Excellent analytical skillsability to interpret data to solve business issues & vulgarize results for a large and diverse audience Ability to manipulate data and create meaningful visualization Aftermarket services understanding Basic programming skills in any language, preferably Python Top Candidates Will Also Have: Alteryx, Tableau and any data visualization software Advanced programming skills in any language Product knowledge, Applications knowledge, dealer knowledge Project management Track record of getting things done Fast learner Ability to work independently and reach out in a timely and relevant manner Good communication & presentation skills Ability to influence other groups and teams Posting Dates: June 17, 2025 - June 24, 2025 Caterpillar is an Equal Opportunity Employer. Not ready to applyJoin our Talent Community.

Bachelor's or masters degree in computer science, AI/ML, Data Science, or related field. 5+ years of experience in AI/ML solution design and development. Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong programming skills in Python, R, or Java. Hands-on experience with cloud platforms (AWS, Azure, GCP). Solid understanding of data engineering concepts and tools (Spark, Hadoop, Kafka, etc.). Experience with MLOps practices, including CI/CD for AI models. Strong problem-solving, communication, and leadership skills. Preferred Qualifications AI/ML certifications (AWS Certified Machine Learning, Google Professional ML Engineer, etc.) Experience in natural language processing (NLP) or computer vision. Knowledge of AI governance and ethical AI practices. Familiarity with AI model explainability and bias detection.

Highly skilled and experienced Data Engineer with AI/ML expertise. This role is essential to maintain continuity and leadership for our AI-driven initiatives, particularly Vantage AI, which is currently gaining significant traction across business units. The candidate must possess strong technical knowledge in data engineering, orchestration, machine learning, and analytics, with the ability to independently drive the design, development, and deployment of data solutions. Key Responsibilities: Development and deployment of Vantage AI. AI/ML initiatives in Anchanto. Insight generation. Apply statistical methods and predictive modeling to solve real-world problems. Machine learning and AI developments. Develop Data engineering solutions and orchestration. Essential Requirements: 2+ years of experience in data engineering or data science roles Ability to build and deploy machine learning models Expertise in AWS cloud platforms and containerization Hands on in data scraping techniques. Strong knowledge of Python and associated ML/data science libraries (eg, scikit-learn, pandas, PySpark, Sagemaker) Expertise in ETL and data pipeline design. Personal Attributes: Strong problem-solving skills. Good communication Engineering degree. Ability to work independently.

Executive Director of BSI Data Analytics Platforms will lead the Data Analytics and Platforms (DAP) team within the Business Solutions International (BSI) organization. This role is responsible for driving the strategic vision, governance, and operational excellence of data analytics, AI, data science, marketing platforms, and performance analytics & reporting. The Head will ensure alignment with business goals, oversee the development and deployment of data solutions, and manage the scaling and operations of these platforms. Major Accountabilities: Operational Excellence : Oversee the day-to-day operations of data analytics platforms, ensuring smooth and efficient functioning. Ensure compliance with regulations and standards, managing risk and governance. Develop and manage the scaling of data solutions to meet growing user demands. Collaboration and Coordination : Work closely with the Enabler DAP team to create a mirror image of the Enabler DAP within BSI. Coordinate with the broader BSI team to define the scope of work, align on priorities, and gather necessary inputs. Collaborate with designers, developers, and other stakeholders to ensure the solution meets user needs and business requirements. Collaborate closely with the DAP Strategy pillar to co-develop the strategic direction, while actively partnering with I-R-C. Analytics and Reporting : Monitor and analyse product performance, user behaviour, and adoption to inform future decisions. Oversee comprehensive testing activities, including user acceptance testing and performance testing. Manage the deployment process, ensuring smooth releases and coordinating with relevant teams for post-deployment support. Innovation and Improvement : Drive continuous improvement and innovation in data analytics and platforms. Develop strategies to drive user adoption and engagement. Ensure solutions excellence at scale and drive international operations to enable cost-efficient and adaptable commercialization support. Functional Skills and Knowledge: Business Analytics: - Strong analytical skills to interpret complex data and generate insights. - Proficiency in data analytics tools and platforms. - Incorporate competitive insights into the analytics Data Strategy: - Defining the vision and strategy for data analytics and platforms. - Ensuring alignment with business objectives and integrating data strategy into broader business strategies. AI & Data Science: - Knowledge of AI and data science principles and their application in business. - Leading the development and deployment of AI and data science solutions. Marketing Platforms: - Understanding of marketing platforms and their role in customer engagement. - Managing the operations and scaling of marketing platforms. - Experience with CRM platforms like Salesforce, Veeva, HubSpot etc Performance Analytics & Reporting: - Expertise in performance analytics to track and report on key metrics. - Developing comprehensive testing activities, including user acceptance testing and performance testing. Qualifications: Education: Advanced degree in Data Science, Computer Science, Business Administration, or a related field. Experience: Extensive experience in data analytics, AI, data science, and platform management. Proven track record of leading and managing large-scale data analytics projects. Experience in working with and leading cross-functional teams. Strong understanding of governance, compliance, and risk management in data analytics.

This role provides an exciting opportunity to be at the forefront of AI innovation, contributing to the development and implementation of solutions that push the boundaries of technology. If you are passionate about AI, thrive in a collaborative environment, and enjoy driving impactful projects, this position offers a platform for creativity and professional growth. Join us in shaping the future of AI applications Responsibilities: Cross-Functional Collaboration: Collaborate seamlessly with Engineering, Product, and Operations teams to conceptualize, design, and construct AI systems for diverse applications, including Email Suites, Conversational chatbots, and various NLP and ML use cases. Innovative Model Development: Lead the development of inventive strategies and models, ensuring practical operationalization of AI solutions in alignment with organizational goals. Ideation and Analysis: Generate ideas for exploratory analysis, actively shaping the trajectory of future projects. Provide insightful recommendations for strategic actions based on data-driven insights. Rapid Prototyping and Product Discussions: Drive the rapid prototyping of solutions, actively participating in discussions related to product and feature development. Dashboard Creation and Reporting: Develop dashboards and comprehensive documentation to effectively communicate results. Regularly monitor key data metrics, facilitating informed decision-making. Integration with Production Systems: Collaborate closely with software engineers to deploy and integrate data models into production systems. Ensure scalability, reliability, and efficiency of integrated solutions. Business Metrics Identification: Identify and analyze key business metrics, offering strategic insights. Recommend product features based on the identified metrics to enhance overall product functionality. Skills Exceptional quantitative and problem-solving skills - capable of tackling complex data-driven challenges and formulating effective solutions. Solid understanding of natural language processing (NLP) - Fundamentals, including techniques such as named entity recognition (NER), topic modeling, and sentiment analysis. Proven proficiency - In essential data science libraries, including Pandas, Numpy, SciPy, and Scikit-Learn, for data manipulation, analysis, and modeling. In-depth expertise in Python programming - Focus on data analysis, model building, and algorithmic implementation. Experience with distributed computing frameworks - Hadoop or Spark, for handling large-scale data processing and machine learning tasks. Comprehensive understanding - Supervised and unsupervised machine learning techniques, including decision trees, random forests, boosting algorithms, and clustering methods. Experience and Qualifications Masters or Bachelors degree in Machine Learning/Data Science, Applied Statistics, Mathematics, or Engineering Minimum 8+ years of relevant experience with a proven track record of developing ML solutions.

It's a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you 5- 7years of experience required Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Logical thinking and problem solving Strong communication skills Stakeholder Management Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact Statistical Modelling and experience of applying data science into client problems.

It s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you 2- 4 years of experience required Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Logical thinking and problem solving Strong communication skills Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact Statistical Modelling and experience of applying data science into client problems.

Paramatrix Technologies Pvt. Ltd is looking for Junior AL/ML to join our dynamic team and embark on a rewarding career journey We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis Responsibilities:Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions Translate business requirements into machine learning objectives Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training Address data quality issues and ensure data readiness for machine learning tasks Model Development:Develop and implement machine learning models using state-of-the-art algorithms Experiment with different models and approaches to achieve optimal performance Training and Evaluation:Train machine learning models on diverse datasets and fine-tune hyperparameters Evaluate model performance using appropriate metrics and iterate on improvements Deployment:Deploy machine learning models into production environments Collaborate with DevOps and IT teams to ensure smooth integration Monitoring and Maintenance:Implement monitoring systems to track model performance in real-time Regularly update and retrain models to adapt to evolving data patterns Documentation:Document the entire machine learning development pipeline, from data preprocessing to model deployment Create user guides and documentation for end-users and stakeholders Collaboration:Collaborate with data scientists, software engineers, and domain experts to achieve project goals Participate in cross-functional team meetings and knowledge-sharing sessions

As a part of GIG, Godrej Industries Group (GIG) is in the business of oleo-chemicals, surfactants, finance & investments, and estate management. In the past few years, the group has also focused on increasing its global footprint in developing economies like Latin America, Indonesia and Africa through its FMCG arm Godrej Consumer Products Limited (GCPL) . GCPL is a leader among the Indian-born FMCG companies with leading Household and Personal Care Products. The real estate arm, Godrej Properties Limited (GPL) brings the group s philosophy of innovation and excellence to the real estate industry. It aims to deliver superior value to all stakeholders through extraordinary and imaginative spaces created out of deep customer focus and insight. The agri-business arm Godrej Agrovet Ltd (GAVL) of GILAC is dedicated to improving the productivity of Indian farmers by innovating products and services that sustainably increase crop and livestock yields. The company operates in animal feed, oil palm, agri inputs, hybrid seeds, and poultry in which it is a leader. Godrej Capital (GC) is the vertical that aims to finance your dreams. We understand what s important to you, and taking the Group s legacy of trust, we bring to you financial solutions to secure your future, creating moments of joy. www.godrejgroup.com Designation : Deputy General Manager AI Lab Location : Mumbai, India Job Purpose As a Deputy General Manager (DGM) at the Godrej AI Lab, you will play a pivotal role in leading high-impact AI programs across group businesses. You will drive the development and deployment of advanced AI solutions, foster strong stakeholder partnerships, and manage a focused team of AI engineers and executives. This position demands a combination of strategic leadership, strong execution capabilities, and a sound understanding of AI technologies. You ll work closely with business teams, IT, and external partners to deliver outcomes that matter. Roles & Responsibilities: Lead the end-to-end lifecycle of AI initiatives from business problem framing to scaled deployment. Partner with business leaders to define priorities, scope solutions, and drive adoption. Manage and mentor a team of AI engineers and senior executives to ensure execution quality and timely delivery. Translate business challenges into technically feasible and measurable AI use cases. Guide solution design, vendor evaluations, and platform/tooling choices. Ensure integration and alignment across business, data, IT, and external stakeholders. Monitor project progress and impact metrics, proactively addressing risks or delays. Contribute to the broader AI maturity journey supporting enablement, communication, or upskilling efforts as needed. Stay informed on the evolving AI landscape to bring relevant innovations into the organization. Educational Qualification: Education: Bachelor s or Master s in Computer Science, Engineering, Data Science, or a related technical discipline. MBA or certifications in AI/Gen AI are a plus. Experience: 7+ years of experience in digital transformation, AI/ML, data science, or technology-led business roles. Strong Experience in AI and Gen AI Good track record of delivering complex, multi-stakeholder projects. Demonstrated ability to manage teams and influence cross-functional senior leaders. Experience working with external tech partners and system integrators Skills: Solid understanding of AI and machine learning concepts, platforms, and applications. Ability to translate business needs into technically sound solutions. Strong project and stakeholder management skills; proven ability to lead in a matrixed setup. Strategic and analytical mindset with a bias for execution. Excellent communication, facilitation, and relationship-building skills. Comfort with ambiguity and a proactive, problem-solving approach.

About Godrej Industries Limited Group (GIG ) Godrej Industries Group (GIG), is a vibrant group of listed Godrej companies. It has a clear focus on Chemicals, FMCG, Real Estate, Agriculture and Financial Services, a set of diverse industries, most of which are defining new India s growth story. At GIG we seek to achieve this growth through fostering an inspiring place to work, while inculcating shared value through a philosophy of Good & Green . As a part of GIG, Godrej Industries Group (GIG) is in the business of oleo-chemicals, surfactants, finance & investments, and estate management. In the past few years, the group has also focused on increasing its global footprint in developing economies like Latin America, Indonesia and Africa through its FMCG arm Godrej Consumer Products Limited (GCPL) . GCPL is a leader among the Indian-born FMCG companies with leading Household and Personal Care Products. The real estate arm, Godrej Properties Limited (GPL) brings the group s philosophy of innovation and excellence to the real estate industry. It aims to deliver superior value to all stakeholders through extraordinary and imaginative spaces created out of deep customer focus and insight. The agri-business arm Godrej Agrovet Ltd (GAVL) of GILAC is dedicated to improving the productivity of Indian farmers by innovating products and services that sustainably increase crop and livestock yields. The company operates in animal feed, oil palm, agri inputs, hybrid seeds, and poultry in which it is a leader. Godrej Capital (GC) is the vertical that aims to finance your dreams. We understand what s important to you, and taking the Group s legacy of trust, we bring to you financial solutions to secure your future, creating moments of joy. www.godrejgroup.com Designation : AI Engineer AI Lab Location: Mumbai, India Job Purpose As an AI Engineer in the Godrej AI Lab, you will play a key role in developing and experimenting with AI and GenAI solutions to solve business problems. This role is deeply technical but also exploratory in nature. You will be responsible for testing feasibility, building prototypes, running experiments, and co-creating solutions with both internal teams and external partners. Your work will directly contribute to evaluating new use cases, scaling successful pilots, and embedding AI into our business workflows. All solutioning, prototyping, testing, and development will be anchored by you making this a highly engaging and interesting role at the heart of real-world AI delivery Roles & Responsibilities: Build, test, and iterate on AI and GenAI solutions using industry-standard tools and platforms. Anchor technical components of AI use cases from experimentation to solution deployment. Collaborate with managers, internal tech teams, and external partners to co-develop POCs and scalable solutions. Conduct feasibility assessments and support decision-making through rapid experimentation. Translate abstract business problems into model-ready formats, including data preparation and feature engineering. Work on GenAI components such as prompt design, LLM integration, and retrieval-augmented generation (RAG). Maintain clean, well-documented code and version control practices. Integrate solutions with APIs and backend systems as needed, in partnership with engineering teams. Support model evaluation, optimization, and iterative improvement cycles. Contribute to the AI Labs internal knowledge-sharing and tooling base Educational Qualification: Bachelor s or Master s in Computer Science, Engineering, or a related technical field. Experience: 4 6 years of hands-on experience in AI/ML, GenAI, or applied data science roles. Experience building or experimenting with AI solutions in practical business settings. Exposure to collaborative delivery with tech teams or solution partners. Skills: Strong proficiency in Python and libraries like Pandas, NumPy, scikit-learn, PyTorch, TensorFlow. Experience with GenAI APIs (OpenAI, PaLM, Hugging Face) and vector databases (e.g., Pinecone, FAISS). Working knowledge of prompt engineering, LLMs, RAG, and LangChain-style pipelines. Comfortable with code versioning (Git), API-based integration, and cloud environments (GCP, AWS, Azure). Ability to think critically, test hypotheses, and learn rapidly through experimentation. Good collaboration skills and attention to clean, modular code An inclusive Godrej If this sounds like a role for you, apply now! We look forward to meeting you.

JIDOKA SYSTEMS PRIVATE LIMITED is looking for Data Science Engineers to join our dynamic team and embark on a rewarding career journey Data Exploration and Preparation:Explore and analyze large datasets to understand patterns and trends Prepare and clean datasets for analysis and model development Feature Engineering:Engineer features from raw data to enhance the performance of machine learning models Collaborate with data scientists to identify relevant features for model training Model Development:Design and implement machine learning models to solve business problems Work on both traditional statistical models and modern machine learning algorithms Scalable Data Pipelines:Develop scalable and efficient data pipelines for processing and transforming data Utilize technologies like Apache Spark for large-scale data processing Model Deployment:Deploy machine learning models into production environments Collaborate with DevOps teams to integrate models into existing systems Performance Optimization:Optimize the performance of data pipelines and machine learning models Fine-tune models for accuracy, efficiency, and scalability Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders Communicate technical concepts and findings to non-technical audiences Continuous Learning:Stay current with advancements in data science and engineering Implement new technologies and methodologies to improve data engineering processes

Role : Data Scientist with ML Knowledge. Experience : 3-4 years. Skill Set : Data Science Machine Learning Data Modelling and Statistical Analysis Experience in Python , DBs and ML packages Experience in Flask API , Cloud services (Azure, AWS, Open AI , Gemini Flash) Experience in version control and collaborating with development teams Knowledge of Deep Learning Frameworks(Pytorch / TensorFlow etc) Responsibility Sanitize, analyze, and preprocess structured and unstructured data using tools like Pandas, NumPy, SQL, and Spark. Implement ML algorithms using Python and libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost.Perform feature engineering , model tuning, and validation to optimize model performance. Develop dashboards and reports using tools like Power BI, Tableau , or Streamlit for stakeholder communication. Continuously monitor and improve the performance of deployed models. Stay updated with the latest trends in ML/AI and bring innovative ideas to the table.