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ai / ml engineer

ai engineer

ai engineers

automation engineer

software engineer ii o9 integration itc

NIKE

Position Type
<br>Full Time
<br>Career area
<br>Software Engineering
<br>Location
<br>4/F, WeWork, Embassy GolfLinks, Karnataka, Karnātaka 560093, India
<br>Job ID
<br>R-86925
<br><br>
Become a Part of the NIKE, Inc. Team
<br><br>
NIKE, Inc. does more than outfit the world’s best athletes. It’s a place where passionate individuals come together to create the future of sport. We are unapologetic about who we are and what we’re after—bringing innovation and inspiration to every athlete* in the world. We look for athletes who can push boundaries, elevate our potential and continue leading us to greatness. The next tastemakers, playmakers, risk takers and glue players. Are you game?
<br><br>
WHO YOU’LL WORK WITH
<br><br>
You will be part of the Supply Chain Planning & Technology organization, supporting teams working on Demand and Supply Planning. You will collaborate with product managers, architects, senior engineers, business analysts, and global functional partners.
<br><br>
You will not only work on o9 integration, but also help in basic configurations of enhancements, reports and custom plugin logic. You will need to understand the business context of the problems and work with team to find innovative solutions in technology ecosystem.
<br><br>
WHO WE ARE LOOKING FOR
<br><br>
We are seeking an O9 Engineer with hands‑on experience in integrating o9 with Nike data ecosystem. You should have strong analytical skills, the ability to interpret business requirements, and experience in understanding the data and its business context.
<br><br>
Required Qualifications
<br><br>
3 to 4 years of experience in integration of o9 with Databricks (delta share), snowflake and file systems.
<br><br>
Configuring the batches with BDP2.0, airflow and Databricks workflow.
<br><br>
Experience of leveraging AI technologies like Cursor, co-pilot, Nova on o9 landscape to accelerate development and debugging.
<br><br>
Strong skills in SQL / PL‑SQL for data validation, mapping, and issue investigation.
<br><br>
Working knowledge of O9 data models, UI/Workflow setups.
<br><br>
Basic understanding supply chain & planning processes — Demand Planning preferred.
<br><br>
Basic experience with cloud technologies (Azure/AWS), APIs, or integrations is a plus.
<br><br>
Familiarity with Agile/Scrum practices.
<br><br>
Strong communication and documentation skills; ability to work with business and technical teams.
<br><br>
WHAT YOU’LL WORK ON
<br><br>
<b>As an O9 Engineer, you will:</b><br>
Integrate, test, and support O9 modules based on functional requirements of data.
<br><br>
Support data integration mapping, ensuring correct ingestion of master, transactional, and planning data.
<br><br>
Work with engineering teams to support O9-to-enterprise integrations (o9 S4, o9 BCL, etc.).
<br><br>
Troubleshoot integration issues, validate data accuracy, and perform root‑cause analysis.
<br><br>
Participate in sprint planning, configuration development, unit testing, and UAT support.
<br><br>
Prepare documentation for integration changes, test scenarios, and release notes.
<br><br>
Collaborate with product managers and senior engineers to refine requirements.
<br><br>
Ensure deployments follow established DevOps, CI/CD, and change‑control processes.
<br><br>
You'll partner with -
<br><br>
Product Managers for requirement clarification & prioritization
<br><br>
Business SMEs across Planning & Inventory teams
<br><br>
Architects and Senior Engineers for solution design & integrations
<br><br>
Vendor partners and contingent workforce on O9-related development
<br><br>
QA teams for test planning & validation activities
<br><br>
NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.
<br><br>
NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
<br><br>
What You Can Expect
<br>OUR HIRING GAME PLAN
<br>01 Apply
<br><br>
Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.
<br><br>
02 Meet a Recruiter or Take an Assessment
<br><br>
If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.
<br><br>
03 Interview
<br><br>
Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.

Software Engineer II - O9 Integration, ITC

<div><p>Company Profile:<br>
Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com.<br>
<br>
Job Title: Senior Software Engineer - Java Full stack Developer<br>
Position: Software Engineer (SE) / Senior Software Engineer (SSE)<br>
Experience: 5 Yrs to 7 Yrs<br>
Category: Software Quality/Testing<br>
Main location: Pune<br>
Position ID: J0426-2169<br>
Employment Type: Full Time<br>
<br>
Job Description:<br>
We are seeking a highly skilled Java/Angular Developer with 5&ndash;7 years of experience in building and maintaining enterprise-grade applications. The ideal candidate is strong in Java (Spring Boot) and Angular, comfortable with PostgreSQL, and experienced with Agile delivery. Exposure to containerization (Docker/Kubernetes) and Azure is important; knowledge of Kafka and Azure Data Lake is a plus.</p><p><b>
Your future duties and responsibilities</b></p><div>
Key Responsibilities<br>
<ul><li>Design, develop, and maintain web applications using Java (Spring Boot) and Angular.</li><li>Build and optimize RESTful APIs and microservices.</li><li>Develop efficient SQL queries and manage relational schemas in PostgreSQL.</li><li>Collaborate with cross-functional teams within an Agile environment (Scrum/Kanban).</li><li>Implement containerized applications using Docker and deploy/manage them on Kubernetes clusters.</li><li>Work with Azure services for application hosting, monitoring, and infrastructure integration.</li><li>Troubleshoot, debug, and optimize applications for performance and scalability.</li><li>Participate in code reviews and contribute to best practices and architectural discussions.</li><li>Support CI/CD pipelines and automated deployments.</li><li>Prepare and maintain technical documentation.</li></ul>
<br>
Required Skills &amp; Qualifications<br>
<ul><li>5&ndash;7 years of hands-on experience in software development.</li><li>Strong proficiency in Java, Spring Boot and hibernate.</li><li>Solid experience with Angular (13+) for front-end development along with knowledge of HTML and CSS.</li><li>Strong understanding of PostgreSQL includes query optimization and database design.</li><li>Experience with REST API development and microservices architecture.</li><li>Practical experience working in Agile environments.</li><li>Working knowledge of Docker and container-based development.</li><li>Experience with Kubernetes for container orchestration.</li><li>Familiarity with Azure server architecture
</li><li>Understanding of unit testing frameworks (JUnit, Jasmine/Karma)</li><li>Understanding of usage of Gen AI (Git hub Copilot) for coding / test
</li></ul><br>
Good to Have<br>
<ul><li>Knowledge of Apache Kafka (event streaming, producers/consumers).</li><li>Experience with Azure DL (Data Lake) and data platform integrations.</li><li>Understanding of distributed systems, message queues, and event-driven architecture.</li></ul>
<br>
Soft Skills<br>
<ul><li>Excellent problem-solving and analytical abilities.</li><li>Strong communication and collaboration skills.</li><li>Ability to work independently in a dynamic, fast-paced environment.</li><li>Detail-oriented, proactive, and committed to continuous improvement.</li></ul></div><p><b>
Required qualifications to be successful in this role</b></p><p>
Bachelor's degree in computer science or related field or higher with minimum 5 years of relevant experience.</p><p><b>
Together, as owners, let&rsquo;s turn meaningful insights into action.</b><br>
<br>
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip;<br>
<br>
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction.<br>
<br>
Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.<br>
<br>
You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
<br>
<br>
That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.<br>
<br>
Come join our team&mdash;one of the largest IT and business consulting services firms in the world.</p></div>

Senior Software Engineer - Java Full stack Developer

<div><div><div><div><div><div><div>Job description
 </div><div></div><p>Company and benefits</p>
</div></div></div><div><div><div><div><div>Job ID</div>
<div>SOFTW018937</div>
</div><div><div>Employment Type</div>
<div>Regular</div>
</div><div><div>Work Style</div>
<div>on-site</div>
</div><div><div>Location</div>
<div>Noida,UP,India</div>
</div><div><div>Role</div>
<div>Software Engineer III- Eng</div>
</div></div><div><div><p>Why UKG:
</p><p>At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That&rsquo;s what we do.</p>
<div>We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you&rsquo;ll get flexibility that&rsquo;s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters&mdash;and so do you.
<br>
<br>
**About the Team**
<br>
<br>
You&rsquo;ll be part of a collaborative engineering team focused on building reliable, scalable software and data solutions that support UKG&rsquo;s workforce operating platform. We partner closely with product, design, quality, cloud, data, and customer-facing teams to deliver software that helps organizations manage and support their people. Our team values clear communication, thoughtful software development, shared ownership, and continuous improvement.
<br>
<br>
**About the Role**
<br>
<br>
As a Software Engineer III, you&rsquo;ll design, build, test, and support software solutions that solve meaningful customer problems. You&rsquo;ll work across the software development lifecycle, contribute to agile planning, and help improve the quality, performance, and maintainability of our applications and data pipelines.
<br>
<br>
You will:
<br>
<br>
<ul><li>Design and develop software features using Java, Python, and modern engineering practices to deliver secure, scalable, and maintainable solutions.
</li><li>Build and support cloud-based solutions on Google Cloud, including services that process, store, and analyze data.
</li><li>Work with PostgreSQL, BigQuery, and related data platforms to support application features, reporting, and analytical use cases.
</li><li>Design, develop, and maintain extract, transform, and load processes and data pipelines that move data accurately and reliably.
</li><li>Collaborate with product managers, designers, quality engineers, cloud engineers, data teams, and other software engineers to clarify requirements and deliver customer-focused outcomes.
</li><li>Write, review, and maintain code with attention to quality, test coverage, performance, and long-term supportability.
</li><li>Use generative artificial intelligence assisted development tools, such as Claude, GitHub Copilot, or similar tools, to improve productivity while following team standards for quality, security, and review.
</li><li>Troubleshoot production and non-production issues, identify root causes, and contribute fixes that improve system reliability.
</li><li>Participate in agile planning, estimation, design discussions, code reviews, and team retrospectives.
</li><li>Mentor other engineers by sharing technical knowledge, reviewing designs, and supporting team learning.
</li></ul><br>
**About You**
<br>
<br>
**Basic Qualifications**
<br>
<br>
<ul><li>Experience designing and developing software applications using Java, Python, object-oriented programming, or modern web application development practices.
</li><li>Experience building or supporting cloud-based, distributed, or enterprise software solutions, including experience with Google Cloud.
</li><li>Experience working with relational databases such as PostgreSQL and analytical databases or data warehouse platforms such as BigQuery.
</li><li>Experience designing, developing, or supporting extract, transform, and load processes, data pipelines, or data integration solutions.
</li><li>Experience working with software development tools, source control, automated testing, and continuous integration or continuous delivery practices.
</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
</li></ul><br>
**Preferred Qualifications**
<br>
<br>
<ul><li>Experience with generative artificial intelligence assisted development tools such as Claude, GitHub Copilot, or similar tools.
</li><li>Experience with JavaScript, TypeScript, React, Angular, Spring, RESTful services, or similar technologies.
</li><li>Experience with microservices, application performance, security, observability, or automated deployment.
</li><li>Experience working in an agile software development environment.
</li><li>Ability to break down complex problems, communicate clearly with team members, and deliver high-quality software in partnership with others.<br>
</li></ul><br>
<br>
</div><p>Company Overview:</p>
<p>UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry &mdash; because great organizations know their workforce is their competitive edge. Learn more at ukg.com.</p>
<p>UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process.
</p><p>Disability Accommodation in the Application and Interview Process</p>
<p>For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com</p>
</div></div><div></div><div><div><div><div><div>NOTICE ON HIRING SCAMS</div>
<br>
UKG will never ask you for a copy of your driver&rsquo;s license, social security card, or passport during a job inter<br>
<br>
<br>
<div>ABOUT OUR JOB DESCRIPTIONS</div>
<br>
All job descriptions are written to accurately reflect the open job and include general work responsibilities. They do not present a comprehensive, detailed inventory of all duties, responsibilities, and qualifications required for the job. Management reserves the right to revise the job or require that other or different tasks be performed if or when circumstances change.</div></div></div></div></div></div></div></div></div>

Software Engineer III- Eng

Fractal Analytics

<div><p>It's fun to work in a company where people truly BELIEVE in what they are doing!</p><p></p><p><i>
We're committed to bringing passion and customer focus to the business.</i></p><p></p><div><div>
Job Description</div></div><div><div><div><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>
EL3 &ndash; Databricks MLOps Engineer (Contract)</b></h1><p><b>
Domain:</b> Claims Payment Integrity | M&amp;R, C&amp;S, E&amp;I Claims (preferred)<br>
<b>Actuarial &amp; Forecasting Analytics Exposure is an Added Advantage</b><br>
<b>Tech Stack:</b> Databricks, Spark, Python, Scala, Azure, GitHub Actions, Terraform<br>
<b>AI/LLM Capabilities:</b> Embedding Models, LLM Integration, LangChain Agentic Frameworks</p><h2 class="jobSectionHeader"><b>
Role Summary</b></h2><p>
The EL3 Databricks MLOps Engineer is a senior hands-on role responsible for enabling <b>end-to-end machine learning lifecycle automation</b> on Databricks. This includes building and maintaining the CI/CD infrastructure, environment configuration, packaging and deploying ML models, supporting reproducible experiments, and ensuring scalable job orchestration for AI/ML workloads, including LLM-based applications.</p><p>
The role partners closely with Data Scientists, AI/ML Engineers, platform teams, and business stakeholders within <b>Claims Payment Integrity</b> to ensure robust, reliable, and automated ML delivery.</p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li><p>
Enable and automate the <b>end-to-end ML lifecycle</b> on Databricks (environment setup, model workflow automation, job scheduling, monitoring hooks).</p></li><li><p>
Build frameworks, templates, and utilities that make ML development and experimentation reproducible and scalable.</p></li><li><p>
Implement CI/CD pipelines using Git, GitHub Actions, Jenkins, Azure DevOps, or similar tools.</p></li><li><p>
Package, version, and deploy ML models into Databricks-managed execution environments.</p></li><li><p>
Set up automated workflows for training, retraining, evaluation, and scheduled job execution.</p></li><li><p>
Support creation and integration of <b>machine learning models</b> including classification, forecasting, anomaly detection, NLP, and PI models.</p></li><li><p>
Enable LLM/GenAI-driven solutions by integrating:</p><ul><li><p><b>
Embedding model generation</b></p></li><li><p><b>
RAG architectures</b></p></li><li><p><b>
Vector databases</b></p></li><li><p><b>
LangChain agentic workflows</b></p></li></ul></li><li><p>
Optimize resource usage, runtime configurations, and code execution patterns for ML workloads.</p></li><li><p>
Collaborate with Data Scientists to translate experimental notebooks into production-ready pipelines.</p></li><li><p>
Implement platform-level controls for environment consistency, dependency management, access control, and model versioning.</p></li><li><p>
Support troubleshooting, debugging, and performance improvements for ML workloads.</p></li><li><p>
Document standards, templates, guidelines, and best practices for MLOps teams.</p></li><li><p>
Work cross-functionally with product, engineering, and analytics teams across PI.</p></li></ul><h2 class="jobSectionHeader"><b>
Required Qualifications</b></h2><ul><li><p>
Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Engineering, or related field</p></li><li><p><b>
6&ndash;9 years</b> of relevant experience in ML Engineering, MLOps, or platform engineering</p></li><li><p>
Strong hands-on experience with <b>Databricks</b>, Spark (batch/streaming), Python, Scala</p></li><li><p>
Experience enabling ML lifecycle tools such as MLflow (tracking, packaging, model registration)</p></li><li><p>
Strong CI/CD experience using Git, GitHub Actions, Jenkins, or Azure DevOps</p></li><li><p>
Experience deploying AI/ML models into cloud environments (Azure preferred)</p></li><li><p>
Ability to create and integrate <b>embedding models</b>, semantic vectors, and LLM-driven components</p></li><li><p>
Experience with <b>LangChain</b> for agentic workflows and integration of tools/functions</p></li><li><p>
Strong problem-solving, debugging, and collaboration skills</p></li></ul><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><ul><li><p>
Experience with Azure OpenAI or OpenAI-compatible LLM APIs</p></li><li><p>
Familiarity with healthcare claims workflows, PI, FWA, provider billing, or pricing</p></li><li><p>
Experience in Agile/Scrum environments</p></li><li><p>
Strong understanding of software engineering best practices, packaging, dependency management</p></li></ul><h2 class="jobSectionHeader"><b>
Good-to-Have Data Knowledge</b></h2><ul><li><p><b>
Call Center datasets</b> (member &amp; provider interactions)</p></li><li><p><b>
Provider RCM datasets</b> (billing, coding, authorizations)</p></li><li><p><b>
EHR/clinical datasets</b> for cross-domain validation</p></li></ul></div></div></div></div></div></div></div></div></div><p></p><p>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!</p><p></p><h3 class="jobSectionHeader"><b>
Hiring Related Queries</b></h3><p>
India: HiringsupportIndia@fractal.ai</p><p>
Outside India: HiringsupportROW@fractal.ai</p><p>
This inbox does not process resume submissions. All applications must be made through posted job openings</p><p></p><p>
Not the right fit? Let us know you're interested in a future opportunity by clicking <i>Introduce Yourself</i> in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!</p></div>

MLOps Engineer

Deloitte

<p></p><div><div><div><div><div><div><div><div><p><b>Data Analytics Engineer </b><b>&ndash; </b><b>Software Engineer II</b></p><p><b>
Role Overview</b><b>:</b> We are seeking a proactive and solutions-oriented <b>Data Analyst</b> with 2.5&ndash;4 years of hands-on experience in data analytics and applied AI/ML techniques. In this role, you will leverage your strong technical foundation and business acumen to transform complex datasets into meaningful insights that guide decision-making and strategy. You will demonstrate expertise in modern data analytics tools (such as Python, SQL) and show enthusiasm for learning next-generation analytics platforms like Adobe Customer Journey Analytics (CJA). The ideal candidate is passionate about turning data into value, comfortable collaborating across diverse teams, and committed to staying at the forefront of emerging analytics and AI trends. You excel at translating business needs into actionable analysis, communicating findings effectively to technical and non-technical audiences, and driving measurable outcomes through data.</p><p></p><p><b>
Work you will do</b></p><ul><li>
Conduct data analysis and prepare reports to support business decision-making using statistical and machine learning techniques.
</li><li>Utilize Python and/or R, along with AI-powered coding tools such as Cursor AI or GitHub Copilot, to accelerate scripting and enhance analytics workflows.
</li><li>Extract, clean, and transform data from various sources&mdash;applying SQL and data wrangling skills to ensure data quality and readiness for analysis.
</li><li>Collaborate with team members to understand data requirements, ensure alignment to business objectives, and contribute to project deliverables.
</li><li>Participate in requirements gathering and solution workshops with stakeholders and senior analysts.
</li><li>Communicate analytical findings clearly to both technical and non-technical audiences via presentations, dashboards, or written summaries.
</li><li>Demonstrate curiosity and initiative by proactively learning new tools and technologies, such as Adobe Customer Journey Analytics (CJA), Adobe Experience Platform (AEP), and similar digital analytics solutions.
</li><li>Support ongoing enhancements to analytics processes, documentation, and team best practices.
</li><li><ul><li>oriented team culture by sharing knowledge and supporting others.</li></ul></li></ul><p></p><p><b>
Key Responsibilities</b><b>:</b></p><p><b>
Outcome-Driven Accountability: </b>Aligns with: Delivering business outcomes, transforming business needs into analytical solutions, upholding quality in analytics and code as stated in your technical and professional skills.</p><p><b>
Technical Leadership and Advocacy: </b>Aligns with: Supporting technical best practices, code integrity, and active participation in key SDLC phases (requirement analysis, development, testing) in Python/R, SQL, and relevant analytics tasks. Collaboration with senior team members aligns well with the CL3 role.</p><p><b>
Engineering Craftsmanship: </b>Aligns with: Clean code, adherence to standards, data wrangling, preparing documentation, and commitment to best practices. Directly supports your expectations for &ldquo;Programming,&rdquo; &ldquo;Data Wrangling,&rdquo; and &ldquo;AI Coding Assistants&rdquo; skills, and continuous learning.</p><p><b>
Customer-Centric Engineering: </b>Aligns with: Focus on delivering what stakeholders need, rapid prototyping, experimentation, and direct engagement with business/product teams, reflecting &ldquo;Analytical Thinking&rdquo; and &ldquo;Ability to transform business needs into analytical solutions&rdquo;.</p><p><b>
Incremental and Iterative Delivery: </b>Aligns with: Agile methodologies, growth mindset, and continuous improvement. Supports &ldquo;Commitment to continuously improving analytics workflows&rdquo; and your requirement for contributing to maintainable, supportable solutions.</p><p><b>
Cross-Functional Collaboration and Integration: </b>Aligns with: Collaboration, working with diverse teams, and integrating multiple perspectives. Matches &ldquo;Collaboration,&rdquo; &ldquo;Communication,&rdquo; and &ldquo;Working across functions and with diverse teams.&rdquo;</p><p><b>
Advanced Technical Proficiency: </b>Aligns with: Python/R for analytics and ML, SQL, AI coding assistants, adopting new analytics tools like Adobe CJA, and embracing SDLC and Agile practices. Encourages continuous technical improvement per your &ldquo;Willingness to learn&rdquo; and &ldquo;Technical Skills&rdquo; requirements.</p><p><b>
Domain Expertise: </b>Aligns with: Quickly acquiring business-relevant knowledge, understanding data designs, and supporting business use cases with technical solutions. Supports &ldquo;Domain knowledge,&rdquo; &ldquo;Transform business needs into analytical solutions,&rdquo; and related technical skills.</p><p><b>
Effective Communication and Influence: </b>Aligns with: Excellent communication skills, presenting complex ideas to varying audiences (technical/non-technical), and contributing to team and stakeholder discussions.</p><p><b>
Engagement and Collaborative Co-Creation: </b>Aligns with: Building strong team and stakeholder relationships, collaborative mindset, and co-creation of value-driven analytics/workflows&mdash;underpinning &ldquo;Collaboration,&rdquo; &ldquo;Participation in hackathons,&rdquo; and your supportive team culture.</p><p></p><p><b>
The team</b><b>:</b> US Deloitte Technology Product Engineering drives Deloitte&rsquo;s success by delivering innovative analytics and data science solutions through a modern, scalable, and value-focused delivery model. As the firm&rsquo;s premier internal development team, we empower business units and internal operations to make smarter, data-driven decisions by transforming complex business needs into actionable insights and robust digital products. Leveraging advanced analytics tools, machine learning, and a responsive talent structure, our team consistently delivers measurable outcomes that enhance Deloitte&rsquo;s efficiency, effectiveness, and market leadership&mdash;upholding our tradition of excellence and commitment to impactful results.</p><p></p><p><b>
Key Qualifications</b><b>:</b></p><ul><li>
2.5&ndash;4 years of professional experience in data analytics or data science
</li><li>Proficiency in Microsoft Fabric and SAC</li><li>
Proficiency in Python and/or R for analytics and machine learning
</li><li>Strong SQL skills for data querying and transformation
</li><li>Hands-on experience with AI-powered coding tools (e.g., Cursor AI, GitHub Copilot)
</li><li>Excellent communication and collaboration skills
</li><li>Ability to transform business needs into analytical solutions</li></ul><p></p><p><b>
Good to have skills:
</b></p><div><ul><li>Experience with cloud analytics (AWS, Azure, GCP)</li></ul>
</div><p>2. Knowledge on BI tools like Tableau, SAP BOE is preferred</p><div>
<ul><li>Exposure to unstructured data or MLOps</li></ul>
<ul><li>Participation in analytics competitions, hackathons, or holding relevant certifications</li></ul>
<ul><li>Domain knowledge in a relevant business vertical</li></ul>
</div><p></p><p><b>How You will Grow:</b></p><ul><li>
Opportunity to work on impactful analytics projects</li><li>
Support for ongoing professional development and learning new technologies</li><li>
Collaborative environment with experts across analytics and business domains</li></ul></div><br>
<p></p>
</div><div><div><div><b>Our purpose</b></div><br>
<div></div>
Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.</div>
</div><div><div><div><b>Our people and culture</b></div><br>
<div></div>
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients&rsquo; most complex challenges. This makes Deloitte one of the most rewarding places to work.</div>
</div><div><div><div><b>Professional development</b></div><br>
<div></div>
At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India.</div>
</div><div><div><b>Benefits to help you thrive</b><br>
</div><div>
At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.</div><div></div>
</div><div><div><b>Recruiting tips</b></div><br>
<div></div>
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
</div></div></div></div></div></div><div><div><div><p>Requisition code: 357466</p></div></div></div></div>

Data Analytics Engineer - Software Engineer II

Hevo Data

<div>
 <strong>
  About Hevo:
  <br/>
  <br/>
 </strong>
 At
 <strong>
  Hevo Data
 </strong>
 , we&rsquo;re building the future of data infrastructure for AI. Over 2,000 companies across 40+ countries trust Hevo to power their analytics. As a deep tech company, our engineering team solves some of the hardest problems in data integration, scale, and reliability. We&rsquo;re looking for a
 <strong>
  Senior Technical
 </strong>
 <strong>
  Recruiter
 </strong>
 who goes beyond keyword matching. We want someone who can
 <strong>
  understand the technology, assess candidates based on their past technical projects/work, and match them to the role we&rsquo;re hiring for
 </strong>
 .
 <br/>
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 👉 If you can speak the language of engineers and help us identify the very best, let&rsquo;s talk.
 <br/>
 <br/>
 <strong>
  Job Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with engineering leaders to understand what a great candidate for that role looks like in each technical role (SDE-4, Staff Engineer, Principal Engineer)
  </li>
  <li>
   Evaluate candidate fitment by reviewing their past work, technical contributions, and problem-solving approaches
  </li>
  <li>
   Conduct structured technical conversations to pre-assess candidates before formal interviews
  </li>
  <li>
   Build and nurture long-term pipelines of deep-tech engineers in Backend, Frontend, DevOps, and Data Infra
  </li>
  <li>
   Apply a systematic approach to target, network and engage with passive talent pools
  </li>
  <li>
   Deliver an engaging candidate experience and be the brand ambassador for Hevo in this community of users
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Candidate Profile:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   10+ years of technical recruiting experience with a focus on senior engineering roles
  </li>
  <li>
   Ability to understand engineering depth&mdash;you don&rsquo;t need to code, but you should be able to evaluate whether a backend engineer has built for scale, or if a DevOps engineer has automated infra at complexity
  </li>
  <li>
   Track record of closing Staff/Principal-level hires at product or deep-tech companies
  </li>
  <li>
   Ability to assess candidates beyond resumes&mdash;by understanding their technical impact and role fit
  </li>
  <li>
   Excellent storytelling skills to articulate Hevo&rsquo;s vision to top engineers
  </li>
  <li>
   Passion for technology and curiosity to dive into systems design, distributed infra, and cutting-edge data problems
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build the Force that Builds the Future of Data: At Hevo, we&rsquo;re solving one of the hardest problems in data: building a reliable, scalable backbone for modern analytics. Your role is to assemble the team that makes this possible
  </li>
  <li>
   Solve Hard Talent Problems: We&rsquo;re hiring SDE-4 to Principal Engineers in domains where top talent is scarce. You&rsquo;ll lead the challenge of finding and convincing these engineers to join a fast-rising deep-tech product company
  </li>
  <li>
   Partner with Engineering Leadership: You&rsquo;ll work shoulder-to-shoulder with our founders and senior engineering leaders, not only to hire but to influence role design, bar-setting, and long-term team structure
  </li>
  <li>
   Build a Talent Brand in the Data Space: Hevo is competing with companies globally. You&rsquo;ll play a key role in building Hevo&rsquo;s reputation among senior engineers through outreach, positioning, and community presence
  </li>
  <li>
   Mentor TA Function: Coach and develop junior recruiters, embedding technical fluency and systematic hiring practices that will scale with Hevo
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Sr. Tech Recruiter

CRUTZ LEELA ENTERPRISES

<p>JD - DevOps / Release &amp;amp; Build Engineer</p><p>Experience: 4&ndash;7 years</p><p>About the Role</p><p>We are hiring a DevOps / Release Engineer for our enterprise-grade, high-performance AI</p><p>inference platform, powered by our RDU (Reconfigurable Dataflow Unit) hardware. Our cloud-</p><p>agnostic MLOps platform abstracts infrastructure complexity and enables seamless</p><p>deployment, management, and scaling of foundation-model workloads at production scale.</p><p>You will be part of the build, release, and software-supply-chain backbone of a large polyglot</p><p>(Go, Rust, Python) Bazel monorepo spanning dozens of components from CI/CD and Remote</p><p>Build Execution through release packaging, Helm/Kubernetes delivery, and security &amp;amp; license</p><p>compliance. This is a role at the intersection of AI infrastructure, enterprise software, and</p><p>DevOps.</p><p>Key Responsibilities</p><ul><li>Keep CI/CD pipelines (CircleCI) stable, fast, and scalable - workflow optimization,</li></ul><p>configuration management, and reusable orbs/commands.</p><ul><li>Maintain the Bazel ecosystem (Go, Rust, Python), including RBE setup, caching,</li></ul><p>troubleshooting, and build-graph health.</p><ul><li>Maintain and improve our CircleCI setup, including workflow optimization and configuration</li></ul><p>management.</p><ul><li>CI release pipeline (nightly and release modes), including multi-image releases driven by</li></ul><p>manifest/version files.</p><ul><li>Build and publish artifacts (container images, Helm charts) to GAR / JFrog using tools like</li></ul><p>crane; manage hotfix delivery to customers.</p><ul><li>Develop, maintain and run build + smoke validation in the pipeline.</li><li>Partner with engineering teams across the platform to roll out infrastructure changes and</li></ul><p>best practices.</p><p>Required Qualifications</p><ul><li>4+ years in DevOps / Build / Release / Platform engineering.</li><li>Bazel experience in a multi-language monorepo (Go, Rust, and/or Python).</li><li>Hands-on strong CI/CD experience (CircleCI preferred; Jenkins/GitLab CI acceptable),</li></ul><p>including pipeline-as-code and workflow optimization.</p><ul><li>Experience with Google Artifact Registry (GAR) and/or JFrog Artifact Management</li><li>Strong scripting/programming skills (Python and Bash).</li><li>Experience with Linux/Unix systems and command-line interfaces</li><li>Experience in managing dependencies in large scale projects</li><li>Problem-solving, ownership mindset and cross-functional collaboration.</li></ul><p>Preferred Qualifications</p><ul><li>Familiarity with containerization (e.g., Docker)</li><li>Experience with other CI/CD tools (e.g., Jenkins, GitLab CI/CD, etc.)</li><li>Experience with Python Package Management.</li><li>Google Cloud Platform (GAR, gcp CLI).</li><li>Knowledge of software development best practices and coding standards.</li></ul><p>Pay: ₹1,000,000.00 - ₹2,000,000.00 per year</p><p>Benefits:</p><ul><li>Provident Fund</li></ul><p>Work Location: In person</p>

DevOps / Release & Build Engineer

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