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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

About Us We're an innovative startup at the forefront of voice AI technology, creating solutions that transform how brands, creators, and developers engage with their audiences. Our platform enables natural-sounding voice synthesis and generation for applications ranging from content creation to customer service and beyond. The Role We're seeking an experienced Fullstack Developer with strong expertise in both Ruby on Rails and React to join our growing team. In this role, you'll work across our entire technology stack to build and enhance features that power our voice AI platform. The ideal candidate combines backend reliability with frontend finesse and can work independently in a remote environment. What You'll Do Feature Development: Build end-to-end features that span both backend services and user interfaces Backend Development: Design and implement scalable Rails services, APIs, and database structures Frontend Implementation: Create responsive, intuitive React interfaces that showcase our voice AI capabilities API Integration: Develop and consume RESTful APIs that connect our frontend and backend systems Database Management: Design efficient database schemas and optimize queries for performance Testing & Quality: Implement comprehensive test suites for both backend and frontend code DevOps Collaboration: Work with our infrastructure team on deployment, monitoring, and scaling Performance Optimization: Identify and resolve bottlenecks across the full application stack Security Implementation: Ensure our applications follow security best practices Technical Documentation: Create and maintain documentation for our codebase and processes Who You Are Full-Stack Thinker: You understand how all components fit together from database to user interface Problem Solver: You enjoy tackling complex technical challenges across the entire stack Quality Focused: You write clean, maintainable code and value comprehensive testing User-Centered: You understand the impact of your work on end-users and optimize their experience Self-Motivated: You can work independently and take ownership of your projects Collaborative: You communicate effectively with team members across different disciplines Adaptable: You thrive in a fast-paced startup environment where priorities may shift Continuous Learner: You stay updated with development trends and are eager to expand your skills Requirements 4+ years of professional software development experience 3+ years of experience with Ruby on Rails in production environments 2+ years of experience with React in production environments Strong understanding of RESTful API design and implementation Experience with SQL databases (PostgreSQL preferred) and query optimization Proficiency in JavaScript, including ES6+ features Experience with frontend state management (Redux, Context API, etc.) Proficiency in writing automated tests for both backend (RSpec, Minitest) and frontend (Jest, RTL) Experience with version control systems (Git) and CI/CD pipelines Strong understanding of software design patterns and principles Excellent communication skills for remote collaboration Nice to Have Experience with Next.js framework Knowledge of TypeScript Experience with GraphQL Background working with audio processing or media-rich applications Experience with AI/ML systems integration Understanding of containerization (Docker) and orchestration (Kubernetes) Experience with AWS or other cloud platforms Knowledge of web accessibility standards (WCAG) What We Offer Competitive salary and equity package The opportunity to work with cutting-edge AI technology Flexible remote work environment Professional development opportunities Collaborative culture with a team of talented engineers How to Apply Please send your resume, GitHub profile or examples of your work, and a brief introduction to [email address]. We look forward to hearing from you! We're an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Company Description At MindWise, we are dedicated to revolutionizing the US healthcare industry through cutting-edge IT solutions. We provide tailored technology services that empower healthcare organizations to deliver better patient outcomes, enhance operational efficiency, and drive innovation. Our offerings include custom software development, healthcare IT consulting, and advanced healthcare analytics. Our team comprises experienced professionals who intimately understand the challenges and nuances of the US healthcare sector, and we believe in forging strong partnerships with our clients to deliver solutions that exceed expectations. Role Description This is a full-time remote role for an MLOps Engineer. The MLOps Engineer will be responsible for implementing and managing machine learning pipelines and infrastructure. Day-to-day tasks will include developing and maintaining scalable architecture for data processing and model deployment, collaborating with data scientists to optimize model performance, and ensuring the reliability and efficiency of machine learning solutions. The role also involves managing cloud-based resources and ensuring compliance with security and data protection standards. Key Responsibilities Cloud Infrastructure Management o Design, deploy, and maintain AWS resources (EC2, ECS, Elastic Beanstalk, Lambda, VPC, VPN) o Implement infrastructure-as-code using Terraform and Docker for consistent and reproducible deployments o Optimize cost, performance, and security of compute and storage solutions Database & Server Architecture o Manage production-grade RDS MySQL instances with high availability, security, and backups o Design scalable server-side infrastructure and ensure tight integration with Django-based services Job Scheduling & Data Pipelines o Build and monitor asynchronous task workflows with Celery, SQS, and SNS o Manage data processing pipelines, ensuring timely and accurate job execution and messaging Monitoring & Logging o Set up and maintain CloudWatch dashboards, alarms, and centralized logging for proactive incident detection and resolution Machine Learning & NLP Infrastructure o Support deployment of NLP models on SageMaker and Bedrock, and manage interaction with vector databases and LLMs o Assist in productionizing model endpoints, workflows, and monitoring pipelines CI/CD & Automation o Maintain and improve CI/CD pipelines using CircleCI o Ensure automated testing, deployment, and rollback strategies are reliable and efficient Healthcare Data Integration o Support ingestion and transformation of clinical data using HL7 standards, Mirth Connect, and Java-based parsing tools o Enforce data security and compliance best practices in handling PHI and other sensitive healthcare data Qualifications • 5+ years of experience in cloud infrastructure (preferably AWS) • Strong command of Python/Django and container orchestration using Docker • Proficiency with Terraform, infrastructure-as-code best practices • Experience in setting up and managing messaging systems (Celery, SQS, SNS) • Understanding of NLP or ML model operations in production environments • Familiarity with LLM frameworks, vector databases, and SageMaker workflows • Strong CI/CD skills (CircleCI preferred) • Ability to work independently and collaboratively across engineering and data science teams Nice to Have • Exposure to HIPAA compliance, SOC2, or healthcare regulatory requirements • Experience scaling systems in a startup or early-growth environment • Contributions to open-source or community infrastructure projects • Hands-on experience with HL7, Mirth Connect, and Java for healthcare interoperability is a big plus

Job Title: Project Manger - GenAI Team Department : Artificial Intelligience / Generative AI Location Bangalore / Noida About the Company & Role : We are one of India’s premier integrated political consulting firms specializing in building data-driven 360-degree election campaigns. We help our clients with strategic advice and implementation which brings together data-backed insights and in-depth ground intelligence into a holistic electoral campaign. We are passionate about our democracy and the politics that shape the world around us. We draw on some of the sharpest minds from distinguished institutions and diverse professional backgrounds to help us achieve our goal. The team brings in 7 years of experience in building electoral strategies that spark conversations, effect change, and help shape electoral and legislative ecosystems in our country. As a part of the Analytics & Engineering Team , you will have a great chance to build tools and pipelines from early days by reinventing the concept of using data for the greater good. About the Role : We are seeking a Project Manager to lead our Generative AI (GenAI) initiatives in political consulting, managing AI-driven projects across political research, survey analytics, digital communications, and campaign intelligence. This role will oversee the end-to-end lifecycle of AI tools designed for predictive polling, voter sentiment analysis, and digital campaign optimization — ensuring delivery aligned with electoral timelines and campaign objectives. Key Responsibilities Political AI Project Management ● Define and execute project plans for GenAI-driven political research and communication tools. ● Lead AI initiatives in survey automation, trend projection, sentiment analysis, and booth-level voter modeling. ● Integrate AI insights with research data (quantitative & qualitative) and digital outreach strategies. Digital Communications Integration ● Oversee AI applications in social media monitoring, digital content generation, and audience targeting. ● Ensure insights from GenAI tools inform digital narratives, influencer strategies, and online reputation management. ● Collaborate with the digital team to optimize campaign outreach via predictive content recommendations. Cross-Functional Coordination ● Coordinate across Data Science, Engineering, Political Intelligence (PI), Quant, and Digital teams for seamless execution. ● Facilitate weekly sprint reviews with department POCs to track milestones and dependencies. ● Ensure GenAI outputs align with both strategic research objectives and digital campaign timelines. Quality & Risk Management ● Validate AI insights for accuracy, ethical compliance, and electoral sensitivity. ● Ensure data privacy and compliance with election commission regulations. Innovation & Strategic Impact ● Explore emerging GenAI frameworks (OpenAI, Gemini, Anthropic) for political communication and research applications. ● Automate manual workflows in surveys and digital outreach for improved operational efficiency. Required Sills & Qualifications Education ● Bachelor’s degree in Data Science, Computer Science, or related disciplines. ● MBA (preferred), especially with specialization in Strategy, Analytics, or Communications. ● PMP/Agile/Scrum certification is preferred. Experience ● 3-5 years in project management; 1–2 years in AI/ML projects preferred . ● Experience managing projects involving electoral research, voter data, and digital communications. Technical Skills ● Knowledge of LLMs and GenAI workflows for both research and communications. ● Proficiency in PM tools (Jira, Asana, Trello) and data visualization platforms (Tableau, Power BI).

Description Set an end-to-end vision for key customer journeys leveraging new technologies to step-change the customer experience. Key job responsibilities Shopping experience is a fast evolving space globally and current technological innovations are showing promise in creating differentiated experiences that fundamentally change the way customers shop for Lifestyle products. Our vision is to offer the best-in-class lifestyle shopping experience to serve the highly demanding customer base in India. We are excited by the innovations in Gen-AI and LLM technologies which offer an opportunity to change the game by building simple and relevant customer experiences and become a matter of habit. The incumbent in this role (Sr. PM) will own building an end-to-end vision that step-changes the customer experience for some of the most preferred customer journeys in Fashion and Lifestyle shopping. The role involves defining the product strategy by identifying key CX drivers and leveraging upcoming technologies to deliver them. The role also requires this product leader to visualize and own working backward narratives for new patterns/paradigms of fashion shopping, and partner with WW teams to experiment new Gen-AI based solutions for product-specific discovery and evaluation. The PM in this role will work closely with India tech and ML teams, WW technology teams and business leadership to own and influence high stakes projects. The PM is expected to resolve significant obstacles and conflicting priorities as we create and implement the vision for high priority lifestyle businesses in India. This role will require hard influencing skills to resolve roadblocks, handle multi-dimensional conflicts to successfully build needle-moving experiences for Indian customers and then taking scalable solutions to our global customer base. A successful product leader in this role will also be expected to manage stakeholders across diverse tech groups. The ideal candidate will be enthusiastic about managing challenging, lengthy projects across multiple teams and locations. He or she will be comfortable marshaling large amounts of data to make decisions and build business cases. We are looking for a Product Manager who shares Amazon's passion for the customer—someone who understands the importance of building a great customer experience. Basic Qualifications 5+ years of product or program management, product marketing, business development or technology experience Experience with feature delivery and tradeoffs of a product Experience owning/driving roadmap strategy and definition Experience with end to end product delivery Experience as a product manager or owner Experience owning technology products Preferred Qualifications Experience in influencing senior leadership through data driven insights Experience working across functional teams and senior stakeholders Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ASSPL - Karnataka Job ID: A3009442

Wissen Technology is Hiring fo r SQL With Python 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 skilled and detail-oriented candidate with a strong foundation in SQL, Python, and data processing techniques. The ideal candidate is passionate about transforming raw data into meaningful insights and has hands-on experience across the data pipeline—from data wrangling to visualization. Experience: 3 -7 Years Location: Bengaluru Required Skills: Strong experience with SQL (e.g., joins, subqueries, CTEs, window functions). Proficiency in Python for data manipulation (e.g., pandas, NumPy). Experience working with relational databases like MySQL, PostgreSQL, SQL Server, or Oracle . Hands-on experience in data wrangling , cleaning, and feature engineering. Understanding of ETL processes and tools . Familiarity with version control systems like Git. Knowledge of data visualization techniques and tools. Strong problem-solving and analytical 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 Thought Leadership : https://www.wissen.com/articles/ Employee Speak: https://www.ambitionbox.com/overview/wissen-technology-overview https://www.glassdoor.com/Reviews/Wissen-Infotech-Reviews-E287365.htm Great Place to Work: https://www.wissen.com/blog/wissen-is-a-great-place-to-work-says-the-great-place-to-work-institute-india/ https://www.linkedin.com/posts/wissen-infotech_wissen-leadership-wissenites-activity-6935459546131763200-xF2k About Wissen Interview Process : https://www.wissen.com/blog/we-work-on-highly-complex-technology-projects-here-is-how-it-changes-whom-we-hire/ Latest in Wissen in CIO Insider: https://www.cioinsiderindia.com/vendor/wissen-technology-setting-new-benchmarks-in-technology-consulting-cid-1064.html

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

About The Opportunity Job Type: Permanent Application Deadline: 05 August 2025 Title Senior Analyst - Data Science Department Enterprise Data & Analytics Location Gurgaon Reports To Gaurav Shekhar Level Data Scientist 4 We’re proud to have been helping our clients build better financial futures for over 50 years. How have we achieved this? By working together - and supporting each other - all over the world. So, join our team and feel like you’re part of something bigger. About Your Team Join the Enterprise Data & Analytics team — collaborating across Fidelity’s global functions to empower the business with data-driven insights that unlock business opportunities, enhance client experiences, and drive strategic decision-making. About Your Role As a key contributor within the Enterprise Data & Analytics team, you will lead the development of machine learning and data science solutions for Fidelity Canada. This role is designed to turn advanced analytics into real-world impact—driving growth, enhancing client experiences, and informing high-stakes decisions. You’ll design, build, and deploy ML models on cloud and on-prem platforms, leveraging tools like AWS SageMaker, Snowflake, Adobe, Salesforce etc. Collaborating closely with business stakeholders, data engineers, and technology teams, you’ll translate complex challenges into scalable AI solutions. You’ll also champion the adoption of cloud-based analytics, contribute to MLOps best practices, and support the team through mentorship and knowledge sharing. This is a high-impact role for a hands-on problem solver who thrives on ownership, innovation, and seeing their work directly influence strategic outcomes. About You You have 4–7 years of experience working in data science domain, with a strong track record of delivering advanced machine learning solutions for business. You’re skilled in developing models for classification, forecasting, recommender systems and hands-on with frameworks like Scikit-learn, TensorFlow, or PyTorch. You bring deep expertise in developing and deploying models on AWS SageMaker, strong business problem-solving abilities, and are familiar with emerging GenAI trends. A background in engineering, mathematics, or economics from a Tier 1 institution will be preferred. Feel rewarded For starters, we’ll offer you a comprehensive benefits package. We’ll value your wellbeing and support your development. And we’ll be as flexible as we can about where and when you work – finding a balance that works for all of us. It’s all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

Before you apply, make sure that your resumes have access else your resume will NOT be considered. About the Role We are seeking a Senior AI/ML Engineer to design, fine-tune, and deploy large-scale AI/ML systems. You will work on QLoRA-based fine-tuning, VLLM inference, distributed training , and cloud-native deployments on platforms like AWS SageMaker and GCP Vertex AI Agent Builder . The role will also involve developing applied AI systems , including computer vision solutions using YOLO and OpenCV , and building scalable event-driven pipelines leveraging Cloud Pub/Sub . Key Responsibilities Fine-tune and optimize LLMs using QLoRA, PEFT, and Hugging Face Accelerators . Implement VLLM for efficient large-scale inference. Build distributed and parallel training systems (DeepSpeed, Ray, PyTorch DDP). Develop computer vision models using YOLO and OpenCV for real-world applications. Deploy and manage AI/ML models on AWS SageMaker, GCP Vertex AI , and other cloud MLOps platforms . Design and implement event-driven AI pipelines with Cloud Pub/Sub and other messaging systems. Define and track LLM and CV evaluation metrics (accuracy, factuality, hallucination rate, object detection performance). Integrate graph-based LLM tools for knowledge reasoning and multi-agent AI systems . Requirements 6+ years in AI/ML, with 3+ years in LLM and applied computer vision systems . Expertise in Python, PyTorch, Hugging Face, QLoRA/LoRA, VLLM, YOLO, and OpenCV . Experience with distributed systems, AWS/GCP cloud MLOps , and vector databases (FAISS/Milvus) . Familiarity with LangChain/LlamaIndex , agent-based AI frameworks , and event-driven architectures (Cloud Pub/Sub) . Strong track record of deploying AI/ML models into production at scale .

Key Responsibilities: Collaborate with cross-functional teams to build micro services or AI/ML-powered features and tools. Work on backend systems, APIs, or data pipelines that support AI workflows. REST APIs, database design, backend frameworks (Node.js, FastAPI, Spring Boot, etc.) Implement efficient algorithms and participate in code reviews. Take ownership of mini-projects under mentor guidance and deliver value. Write clean, maintainable, and well-documented code. Regularly share progress, blockers, and learnings in standups or syncs. What We’re Looking For: Students in B.Tech/M.Tech/BSc/MSc (CS/IT/AI/DS/Math) or equivalent from top engineering collage Solid understanding of Data Structures, Algorithms, and problem-solving . Exposure to AI/ML concepts – supervised learning, regression, classification, etc. Active GitHub with code samples or open-source contributions. Passionate about technology and solving real-life problems using code. Bonus: Experience with Python, NumPy, pandas, scikit-learn, TensorFlow/PyTorch is a plus. Bonus: Exposure to coding contests , Kaggle , Google Summer of Code , or similar communities. Technologies You May Work With: Languages: Python, Java, JavaScript, TypeScript Libraries/Frameworks: TensorFlow, PyTorch, FastAPI, Flask, Next.js Tools: GitHub, VS Code, Jupyter, Postman, Docker Databases: PostgreSQL, MongoDB Others: REST APIs, LLMs, Prompt Engineering, LangChain, Hugging Face

Job Title: Talent Acquisition Specialist Location: Noida Industry: Software Development | Artificial Intelligence Reports to: Talent Acquisition Manager Work Type: Full-Time | Onsite/Hybrid About Us Veersa is a HealthTech company that leverages emerging technology and data science to solve business problems in the US healthcare industry. Veersa has established a niche in serving small and medium entities in the US healthcare space through its tech frameworks, platforms, and tech accelerators. Veersa is known for providing innovative solutions using technology and data science to its client base and is the preferred innovation partner to its clients. Veersas rich technology expertise manifests in the various tech accelerators and frameworks developed in-house to assist in rapid solutions delivery and implementations. Its end-to-end data ingestion, curation, The transformation and augmentation framework has helped several clients quickly derive business insights and monetize data assets. Veersa teams work across all emerging technology areas such as AI/ML, IoT, and Blockchain and using Tech. stacks such as MEAN, MERN, PYTHON, GoLang, ROR, and backend such as Java Spring boot, NodeJS, and using databases like PostgreSQL, MS SQL, MySQL, Oracle on AWS and Azure cloud using serverless architecture. Veersa has two major business lines Veersalabs: An In-house R&D and product development platform and Veersa tech consulting: Technical solutions delivery for clients. Veersas customer base includes large US Healthcare software vendors, Pharmacy chains, Payers, providers, and Hospital chains. Though Veersas focus geography is North America, Veersa also provides product engineering expertise to a few clients in Australia and Singapore About Job Role - End-to-End Recruitment: Handle the complete recruitment lifecycle from sourcing to onboarding for technical roles across India. Technical Hiring: Source, screen, and evaluate candidates for Software Development, Data Engineering, AI/ML, DevOps, QA, and other IT roles. Stakeholder Management: Partner with hiring managers and business leaders to understand hiring needs, define hiring strategies, and provide talent market insights. Job Posting & Database Management: Manage job postings across platforms and maintain structured candidate databases. Candidate Experience: Ensure seamless and positive candidate experience throughout the hiring process. Data Management & Reporting: Use Excel and PowerPoint effectively for tracking, reporting, and presenting recruitment metrics and dashboards. ATS & Vendor Coordination: Work on Applicant Tracking Systems (ATS) and collaborate with external vendors if required. Must-Have Requirements Experience: 2 to 5 years of hands-on experience in technical recruitment for India geography. Industry Exposure: Must be currently working or have previously worked in a Software Development or AI company. Communication Skills: Excellent English communication skills (both verbal and written) are a must. Tools & Tech: Strong command over MS Excel (VLOOKUP, Pivot, Reporting) and PowerPoint (for presentations). Stakeholder Engagement: Demonstrated ability to manage and communicate effectively with internal stakeholders and hiring managers. Preferred Skills Experience with recruitment tools like LinkedIn Recruiter, Naukri, Indeed, and ATS platforms (e.g., Ceipal, Lever, Greenhouse, etc.). Prior exposure to hiring roles in emerging tech (AI/ML, Data Science, Cloud) is a plus. Knowledge of recruitment analytics, dashboards, and recruitment marketing strategies

This role is for one of Weekday's clients Min Experience: 10 years Location: Bengaluru, NOIDA JobType: full-time Requirements We are hiring a seasoned Tech Architect to lead the technology strategy and architecture for our Sales Velocity platforms. This is a high-impact role where you'll define and implement scalable solutions using modern full-stack technologies. The ideal candidate is a hands-on architect with deep technical expertise in Java, ReactJS, NodeJS, Angular, Spring Boot, JavaScript, Python, HTML5 , and CI/CD practices , as well as a strong understanding of cloud and DevOps ecosystems. You will work closely with cross-functional teams to design secure, scalable, and high-performing applications that accelerate our sales enablement initiatives. If you have a passion for architecture, technology leadership, and delivering cutting-edge solutions, we'd love to hear from you. Key Responsibilities: Lead end-to-end architecture, design, and implementation of enterprise-grade applications focused on Sales Velocity and enablement. Drive development across full-stack technologies: Java (Spring Boot) for backend, ReactJS, Angular, JavaScript, and HTML5 for frontend, and NodeJS or Python for middleware components. Design and build RESTful and GraphQL APIs to support seamless and efficient data communication. Integrate robust DevOps workflows, implement CI/CD pipelines, and manage infrastructure as code using tools like Terraform, Ansible, and Jenkins/GitHub Actions. Collaborate with Product, Engineering, UX, and DevOps teams to ensure architectural alignment with business goals. Ensure code quality, performance, and maintainability by adopting modern engineering practices, test-driven development, and peer reviews. Implement best practices for security, scalability, and reliability across applications. Work with cloud platforms (AWS, Azure, or Google Cloud) to design containerized, serverless, or hybrid deployment models. Continuously explore and propose adoption of modern technologies such as Generative AI to enhance user experience and productivity. (Optional but desirable) Provide architectural support or integration guidance for mobile app development (iOS/Android). Required Skills and Qualifications: 10+ years of experience in software development and architecture roles. Expert in backend technologies like Java, Spring Boot, NodeJS, and Python. Advanced proficiency in frontend frameworks such as ReactJS, Angular, and core JavaScript/HTML5/CSS. Deep knowledge of API design using REST and GraphQL. Hands-on experience with CI/CD tools, DevOps practices, and version control systems like Git (GitHub/GitLab). Strong understanding of cloud computing and deployment models on AWS, Azure, or GCP. Skilled in implementing and managing infrastructure with Terraform, Ansible, or similar tools. Excellent problem-solving, communication, and team collaboration skills. Security-conscious mindset with knowledge of OWASP principles and secure coding practices. Preferred Qualifications: Experience with AI/ML models, especially Generative AI, is a strong plus. Exposure to mobile app development ecosystems (React Native, Swift, Kotlin) is an added advantage. Prior experience leading technology teams or mentoring developers is a plus.

Senior Product Manager Location: Hybrid (3 days in Office) – HQ in Noida, Delhi NCR Company: SiteRecon.ai Job Type: Full-Time Note : Preference will be given to candidates with proven experience in product management, particularly those from product-based companies About SiteRecon SiteRecon is transforming the outdoor services industry through cutting-edge AI and geospatial technology. Our platform automates property intelligence for landscaping, snow removal, and facility maintenance companies — helping them win more bids, plan efficiently, and scale faster. We’ve mapped over 1 billion sq.ft. of outdoor space, and we’re just getting started. We work with leading companies in the US and Canada and are focussed on creating a sustainable business with great success so far. As we scale our platform and expand our product offerings, we’re looking for a Senior Product Manager to lead strategic initiatives and drive exceptional user experiences. What You’ll Do As a Senior Product Manager, you will: Own the product roadmap and strategy for one or more core product lines (e.g., mapping automation, proposal generation, site audit). Work closely with engineering, design, AI/ML teams, and go-to-market stakeholders to launch high-impact features. Gather insights from customers, sales, and market research to define requirements and validate product-market fit. Break down complex problems into clear product specs with a sharp focus on usability and business value. Define and monitor success metrics, using data to iterate quickly and improve product performance. Serve as the internal voice of the customer and align product priorities with company OKRs. Mentor junior PMs and contribute to building a world-class product culture. What We’re Looking ForMinimum Qualifications 5–8 years of product management experience, preferably in B2B SaaS or enterprise platforms. Strong analytical and problem-solving skills, with a track record of shipping successful products. Experience working with Vision AI/ML or geospatial products is a strong plus. Skilled with utilising generative AI tools for boosting product workflows as well as building agents based on gen AI models to create experiences for end customers as well as automate job workflows inhouse. Comfortable working in a fast-paced startup environment with ambiguity and ownership. Excellent communication, collaboration, and stakeholder management skills. Bonus Points For Background in GIS, computer vision, mapping platforms, or related domains. Experience in field service industries (landscaping, snow, facility maintenance, construction, etc.). Technical degree or MBA. Why Join Us? Be part of a fast-growing startup redefining how outdoor property data is used. Work with a passionate, high-performance team across product, AI, and engineering. Founders from IIT Delhi and Kharagpur. Competitive compensation Opportunity to lead zero-to-one initiatives and make a visible business impact.

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. The Role As a Data Science Lead with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc…. Conceptualise, build and manage AI/ML (more focus on unstructured data) platform by evaluating and selecting best in industry AI/ML tools and frameworks Drive and take ownership for developing cognitive solutions for internal stakeholders & external customers. Conduct research in various areas like Explainable AI, Image Segmentation,3D object detections and Statistical Methods Evaluate not only algorithms & models but also available tools & technologies in the market to maximize organizational spend. Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI/ML applications that scale from multi-user to enterprise class. Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations IT Skills & Experience Thorough understanding of complete AI/ML project life cycle to establish processes & provide guidance & expert support to the team. Expert knowledge of emerging technologies in Deep Learning and Reinforcement Learning Knowledge of MLOps process for efficient management of the AI/ML projects. Must have lead project execution with other data scientists/ engineers for large and complex data sets Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests. Experience in the AI/ML components like Jupyter Hub, Zeppelin Notebook, Azure ML studio, Spark ML lib, TensorFlow, Tensor flow,Keras, Py-Torch and Sci-Kit Learn etc Strong knowledge of deep learning with special focus on CNN/R-CNN/LSTM/Encoder/Transformer architecture Hands-on experience with large networks like Inseption-Resnets,ResNeXT-50. Demonstrated capability using RNNS for text, speech data, generative models Working knowledge of NoSQL (GraphX/Neo4J), Document, Columnar and In-Memory database models Working knowledge of ETL tools and techniques, such as Talend,SAP BI Platform/SSIS or MapReduce etc. Experience in building KPI /storytelling dashboards on visualization tools like Tableau/Zoom data People Skills Professional and open communication to all internal and external interfaces. Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Strong analytical skills. Industry Specific Experience 10 -18 Years of experience of AI/ML project execution and AI/ML research Education – Qualifications, Accreditation, Training Master or Doctroate degree Computer Science Engineering/Information Technology /Artificial Intelligence Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Major Accountabilities of Position : a AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-WB-Kolkata, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Major Accountabilities of Position: AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-WB-Kolkata, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Sr ML Engineer MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Data Scientist II MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Sr ML Engineer MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Data Scientist II MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

Location: Chennai, India Type: Full-Time, Hybrid Options Experience : 10 years About BI3 Technologies BI3 Technologies is a rapidly growing global technology company, recognized as one of the fastest-growing companies in Australia. Headquartered in Sydney, NSW, we have successfully delivered complex, large-scale projects for leading organizations worldwide. Our expertise spans across Data, AI, Machine Learning, Intelligent Agents, Video Analytics, Mobile Apps, and Cloud Platforms. With strong growth in India, we are building a team in Chennai to work on cutting-edge products and solutions. Role: Solutions / Cloud Architect This is a hands-on role where you will not just design solutions but actively work with teams to build and deliver them. We are looking for someone who is driven to constantly apply technology to solve real-world problems, not limited by existing knowledge, and keen to explore new approaches, experiment, and help shape products with us. Key Responsibilities Design and implement scalable cloud-based solutions (AWS, Azure, GCP). Work across Data Engineering, ML/AI, Video Analytics, and Intelligent Agents to create integrated solutions. Own the end-to-end solution design , including requirements, architecture, and technical documentation. Drive integration with modern platforms such as Snowflake, Databricks, and cloud-native services. Actively collaborate with teams in software, mobile, and AI/ML development. Balance architecture vision with hands-on delivery, ensuring performance, scalability, and security. Qualifications Strong experience in Solution Architecture and Cloud Infrastructure . Hands-on background in Software Development, Integration, and Technical Design . Exposure to Data, AI/ML, Video Analytics, and Mobile Applications . Experience with AWS, Azure, or GCP . Familiarity with Snowflake, Databricks, or modern data platforms is a plus. Excellent written and verbal communication skills. A proactive problem-solver who can work independently and in teams. Why Join Us? Be part of a fast-scaling global technology company delivering impactful projects. Work hands-on in areas like AI, Data, Cloud, and Video Analytics . Collaborate with an international team of experts across Australia and India. Shape innovative products as part of our Chennai team’s growth journey. Competitive salary with strong focus on learning and growth.

Your IT Future, Delivered. Senior Software Engineer (AI/ML Engineer) With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions. We work beyond global borders and push boundaries across all dimensions of logistics. You can leave your mark shaping the technology backbone of the biggest logistics company of the world. All our offices have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences. Digitalization. Simply delivered. At DHL IT Services, we are designing, building and running IT solutions for the whole DPDHL globally. Grow together. The AI & Analytics team builds and runs solutions to get much more value out of our data. We help our business colleagues all over the world with machine learning algorithms, predictive models and visualizations. We manage more than 46 AI & Big Data Applications, 3.000 active users, 87 countries and up to 100,000,000 daily transaction. Integration of AI & Big Data into business processes to compete in a data driven world needs state of the art technology. Our infrastructure, hosted on-prem and in the cloud (Azure and GCP), includes MapR, Airflow, Spark, Kafka, jupyter, Kubeflow, Jenkins, GitHub, Tableau, Power BI, Synapse (Analytics), Databricks and further interesting tools. We like to do everything in an Agile/DevOps way. No more throwing the “problem code” to support, no silos. Our teams are completely product oriented, having end to end responsibility for the success of our product. Ready to embark on the journey? Here’s what we are looking for: Currently, we are looking for AI / Machine Learning Engineer . In this role, you will have the opportunity to design and develop solutions, contribute to roadmaps of Big Data architectures and provide mentorship and feedback to more junior team members. We are looking for someone to help us manage the petabytes of data we have and turn them into value. Does that sound a bit like you? Let’s talk! Even if you don’t tick all the boxes below, we’d love to hear from you; our new department is rapidly growing and we’re looking for many people with the can-do mindset to join us on our digitalization journey. Thank you for considering DHL as the next step in your career – we do believe we can make a difference together! What will you need? University Degree in Computer Science, Information Systems, Business Administration, or related field. 2+ years of experience in the Data Scienctist / Machine Learning Engineer role Strong analytic skills related to working with structured, semi structured and unstructured datasets. Advanced Machine learning techniques: Decision Trees, Random Forest, Boosting Algorithm, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction / engineering, Anomaly deduction, Natural Language Processing (incl. sentiment analysis, Topic Modeling), Natural Language Generation. Statistics / Mathematics: Data Quality Analysis, Data identification, Hypothesis testing, Univariate / Multivariate Analysis, Cluster Analysis, Classification/PCA, Factor Analysis, Linear Modeling, Time Series, distribution / probability theory and/or Strong experience in specialized analytics tools and technologies (including, but not limited to) Lead the integration of large language models into AI applications. Very good in Python Programming. Power BI, Tableau Develop the application and deploy the model in production. Kubeflow, ML Flow, Airflow, Jenkins, CI/CD Pipeline. As an AI/ML Engineer, you will be responsible for developing applications and systems that leverage AI tools, Cloud AI services, and Generative AI models. Your role includes designing cloud-based or on-premises application pipelines that meet production-ready standards, utilizing deep learning, neural networks, chatbots, and image processing technologies. Professional & Technical Skills: Essential Skills: Expertise in Large Language Models. Strong knowledge of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Practical experience with various machine learning algorithms, including linear regression, logistic regression, decision trees, and clustering techniques. Proficient in data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Awareness of Apache Spark, Hadoop Awareness of Agile / Scrum ways of working. Identify the right modeling approach(es) for given scenario and articulate why the approach fits. Assess data availability and modeling feasibility. Review interpretation of models results. Experience in Logistic industry domain would be added advantage. Roles & Responsibilities: Act as a Subject Matter Expert (SME). Collaborate with and manage team performance. Make decisions that impact the team. Work with various teams and contribute to significant decision-making processes. Provide solutions to challenges that affect multiple teams. Lead the integration of large language models into AI applications. Research and implement advanced AI techniques to improve system performance. Assist in the development and deployment of AI solutions across different domains. You should have: Certifications in some of the core technologies. Ability to collaborate across different teams/geographies/stakeholders/levels of seniority. Customer focus with an eye on continuous improvement. Energetic, enthusiastic and results-oriented personality. Ability to coach other team members, you must be a team player! Strong will to overcome the complexities involved in developing and supporting data pipelines. Language requirements: English – Fluent spoken and written (C1 level) An array of benefits for you: Hybrid work arrangements to balance in-office collaboration and home flexibility. Annual Leave: 42 days off apart from Public / National Holidays. Medical Insurance: Self + Spouse + 2 children. An option to opt for Voluntary Parental Insurance (Parents / Parent -in-laws) at a nominal premium covering pre existing disease. In House training programs: professional and technical training certifications.