data engineer

data scientist

lead configurator engineer (cpq) Jobs in India

lead configurator engineer (cpq)

lead coordinator - proposal Jobs in India

lead coordinator - proposal

lead data analyst

Target

<div><p>About the Role<br>
<br>
Join the <b>Data Analytics (DA)</b> team at <b>TII </b>across domains such as <b>Marketing and Digital, Merchandising, Supply Chain and Logistics, Store Operations, Finance</b> and more<b>.</b> Here you'll collaborate with business leaders to turn data into insights that drive strategic decisions. You&rsquo;ll be part of a fast-moving, high-impact environment focused on leveraging business intelligence and advanced analytics to solve real-world problems.<br>
This role combines technical expertise with business understanding to uncover and communicate actionable insights using cutting-edge statistical and analytical techniques.<br>
<br>
Behind one of the world&rsquo;s best loved brands is a uniquely capable and brilliant team of data scientists, engineers and analysts. The Target Data &amp; Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content. We&rsquo;re also the source of the data and analytics behind Target&rsquo;s Internet of Things (iOT) applications, fraud detection, Supply Chain optimization and demand forecasting. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com.</p><p></p><p>
Key Responsibilities:<br>
 Demonstrate thought leadership in the application of data, analytics, and AI to<br>
influence merchandising strategy and outcomes<br>
 Independently translate ambiguous business problems into structured analytical<br>
approaches, including scenario, decision, and action modelling<br>
 Partner with Target business stakeholders to understand priorities and roadmaps,<br>
validate analytical requirements, and present insights and recommendations with<br>
clarity and impact<br>
 Design, develop, and deliver analytical and AI-driven solutions (including GenAI,<br>
Agent, and Agentic approaches) that enable decision support, forecasting,<br>
optimization, and automation<br>
 Apply advanced analytics techniques, including causal, predictive, and prescriptive<br>
analytics, to drive deeper understanding of business levers and inform optimal<br>
actions<br>
 Work with large-scale datasets using platforms such as GCP BigQuery, Spark, and<br>
SQL-based data warehouses; build and maintain reliable data pipelines using Airflow<br>
or similar orchestration tools<br>
 Evaluate and monitor AI-driven analytical workflows, defining quality metrics (e.g.,<br>
accuracy, relevance), assessing reliability, and measuring tangible business impact<br>
 Synthesize complex analyses into compelling narratives; act as a strong storyteller<br>
who can influence executive and merchant audiences using data<br>
 Develop strong business acumen and cultivate trusted relationships with internal<br>
clients and partners<br>
 Create high-quality analytical and AI solution artifacts, documenting methodologies,<br>
assumptions, models, and decision logic<br>
 Contribute to knowledge-sharing systems that support reuse, iteration, and<br>
continuous improvement of analytical models and approaches<br>
 Ensure compliance with corporate data protection standards and embed responsible<br>
AI practices, including data privacy, bias mitigation, and explainability<br>
 Stay current with industry trends, emerging methodologies, and best practices in<br>
analytics, AI, and retail decision science</p></div><p></p>

Lead Data Analyst

NIIT Foundation

<p>Job description:</p><p>Role Overview</p><p>The Placement Coordinator &ndash; STEM is responsible for connecting students or trainees with employment opportunities in science and technology fields. This role focuses on aligning candidate skills with industry requirements in areas such as software development, data science, engineering, research, and emerging technologies.</p><p>Key Responsibilities<br/>1. Industry Engagement &amp; Partnerships</p><ul><li>Build and maintain relationships with IT companies, engineering firms, R&amp;D organizations, and startups</li><li>Identify hiring needs in domains like AI, data science, software engineering, electronics, and mechanical fields</li><li>Coordinate campus recruitment drives and industry interactions</li></ul><p>2. Candidate Skill Assessment &amp; Alignment</p><ul><li>Evaluate students&rsquo; technical skills, projects, and certifications</li><li>Match candidates with suitable job roles (developer, analyst, engineer, researcher, etc.)</li><li>Identify skill gaps and collaborate with trainers/faculty to address them</li></ul><p>3. Pre-Placement Training &amp; Readiness</p><ul><li>Organize technical training sessions (coding, tools, domain-specific skills)</li><li>Conduct mock interviews (technical + HR) and aptitude tests</li><li>Prepare students for assessments on platforms like HackerRank and LeetCode</li></ul><p>4. Placement Coordination</p><ul><li>Plan and execute placement drives, hackathons, and recruitment events</li><li>Coordinate interview schedules, technical tests, and hiring processes</li><li>Ensure candidates are interview-ready and meet employer expectations</li></ul><p>5. Internship &amp; Research Opportunities</p><ul><li>Facilitate internships with tech companies, startups, and research labs</li><li>Connect students with live projects, fellowships, and innovation programs</li><li>Encourage participation in hackathons and technical competitions</li></ul><p>6. Data Management &amp; Reporting</p><ul><li>Maintain databases of student profiles, technical skills, and placement records</li><li>Track KPIs such as placement rate, average salary, and domain-wise hiring</li><li>Generate reports and insights to improve placement strategies</li></ul><p>7. Post-Placement Support</p><ul><li>Monitor candidate performance and retention in technical roles</li><li>Collect feedback from employers regarding skill relevance</li><li>Support career progression through upskilling and certifications</li></ul><p>8. Academic &amp; Training Collaboration</p><ul><li>Work with faculty to align curriculum with industry standards</li><li>Recommend inclusion of emerging technologies (AI, cloud, cybersecurity, IoT)</li><li>Support development of industry-relevant projects and capstone work</li></ul><p>Required Qualifications</p><ul><li>Bachelor&rsquo;s degree in Engineering, Computer Science, IT, or related STEM field</li><li>1&ndash;3 years of experience in placements, recruitment, or training (preferred)</li></ul><p>Key Skills &amp; Competencies</p><ul><li>Basic understanding of STEM domains and technical roles</li><li>Strong communication and employer engagement skills</li><li>Knowledge of technical hiring processes and assessments</li><li>Analytical thinking and problem-solving</li><li>Organizational and coordination skills</li></ul><p>Preferred Attributes</p><ul><li>Experience in campus placements or EdTech/STEM programs</li><li>Familiarity with coding platforms and technical interview processes</li><li>Passion for technology and career development</li></ul><p>Key Performance Indicators (KPIs)</p><ul><li>Number of students placed in STEM roles</li><li>Average salary/package and job relevance</li><li>Internship conversion rate (internship &rarr; full-time)</li><li>Employer satisfaction and repeat hiring</li><li>Student retention and career progression</li></ul><p>Pay: ₹32,000.00 - ₹40,000.00 per month</p><p>Experience:</p><ul><li>IT Placement: 1 year (Preferred)</li><li>Placement: 2 years (Required)</li><li>NGO/CSR: 1 year (Required)</li></ul><p>Work Location: In person</p>

Placement Coordinator (IT)

HCLTech

Sholinganallur, Tamil Nadu
<br>Job Summary
<br><br>
Access Provisioning Technical Specialist GSK is seeking an Identity & Access Management Analyst to support Identity Lifecycle Management and Access Provisioning, ensuring the right users get the right access at the right time while meeting regulatory and compliance requirements. Your responsibilities include… · Help GSK meet regulatory requirements and improve IAM processes, strategy and roadmap by adopting useful new technologies (for example automation, AI/ML, analytics). · Design, build and run Identity & Access Management (IAM) business processes that control who can access GSK systems, focusing on lifecycle events such as provisioning, de-provisioning and access changes. · Support the product owner and architects to ensure users get the right access at the right time and that access changes are handled correctly across cloud and self-hosted applications. · Act as a point of contact for the IAM team during compliance checks and tests of controls with regulators or auditors. · Contribute to full stack IAM solutions by working with engineers who develop and maintain IAM applications and integrations, helping to align requirements and test outcomes. · Work with IT teams and business stakeholders to gather requirements and provide technical support for IAM services, including access reviews, reporting, HR integrations and password management. · Keep IAM systems secure by following best practices and monitoring for vulnerabilities, and by regularly reviewing and adopting new IAM technologies and practices to improve security and efficiency. · Maintain clear, up-to-date documentation of IAM configurations, processes and procedures. Why you? Basic Qualifications: · Bachelor’s degree in Computer Science, Information Technology or a related field. · Experience working with Identity & Access Management processes in enterprise environments, with a focus on security posture and compliance implementation. · Knowledge of integrating systems with LDAP, Entra ID and Active Directory (AD). · Knowledge of cloud IAM solutions and services offered by Microsoft Azure and other cloud providers. · Capable of understanding complex data requirements and designing or interpreting GraphQL schemas and related guardrails and security measures. Preferred Qualifications: · Proficiency in scripting languages such as TypeScript, JavaScript and .NET for automating IAM workflows and processes. · Experience with web applications and front-end technologies (for example React, HTML, CSS, TypeScript/JavaScript) to support IAM user interfaces such as admin consoles, dashboards and web forms. · Skilled in working with CI/CD practices and tools such as GitHub Actions or Azure DevOps, including use of GitHub and Azure DevOps for version control and pipelines. · Experience in deploying, managing and monitoring applications in cloud environments like Microsoft Azure or Google Cloud. · Strong problem-solving abilities with hands-on experience in debugging and resolving system errors. · Experience in managing and working with various database solutions, including Azure SQL, Oracle and NoSQL databases. · Knowledge of application security best practices and tools for safeguarding enterprise systems.
<br><br>
Key Responsibilities
<br>1. Provide Expert Analysis And Resolution Of Escalated Tickets Using Saviynt Pam And Java Development Tools, Ensuring Compliance With Slas And Quality Norms.
<br>2. Mentor Team Members And Administrators In Best Practices For Saviynt Pam And Java Development, While Preparing Standard Operating Procedures (Sops) And Maintaining Comprehensive Documentation.
<br>3. Validate Change Order Implementation Plans And Ensure Human Error Compliance While Actively Participating In Capacity Planning Discussions To Optimize Operational Efficiency.
<br>4. Facilitate Positive Customer Feedback By Engaging In Customer Meetings, Communicating Effectively To Understand And Resolve Any Issues Faced By Clients.
<br>5. Conduct And Validate Analyses, Such As Root Cause Analysis And Trend Analysis, And Prepare Detailed Performance Reports For Presentation To Key Business Stakeholders.
<br>Skill Requirements
<br>1. In-Depth Knowledge Of Saviynt Pam And Java Development.
<br>2. Strong Analytical And Problem-Solving Skills.
<br>3. Proficiency In Documentation And Standard Operating Procedures.
<br>4. Excellent Communication And Interpersonal Skills.
<br><br>
Other Requirements
<br><br>
Access Provisioning Technical Specialist GSK is seeking an Identity & Access Management Analyst to support Identity Lifecycle Management and Access Provisioning, ensuring the right users get the right access at the right time while meeting regulatory and compliance requirements. Your responsibilities include… · Help GSK meet regulatory requirements and improve IAM processes, strategy and roadmap by adopting useful new technologies (for example automation, AI/ML, analytics). · Design, build and run Identity & Access Management (IAM) business processes that control who can access GSK systems, focusing on lifecycle events such as provisioning, de-provisioning and access changes. · Support the product owner and architects to ensure users get the right access at the right time and that access changes are handled correctly across cloud and self-hosted applications. · Act as a point of contact for the IAM team during compliance checks and tests of controls with regulators or auditors. · Contribute to full stack IAM solutions by working with engineers who develop and maintain IAM applications and integrations, helping to align requirements and test outcomes. · Work with IT teams and business stakeholders to gather requirements and provide technical support for IAM services, including access reviews, reporting, HR integrations and password management. · Keep IAM systems secure by following best practices and monitoring for vulnerabilities, and by regularly reviewing and adopting new IAM technologies and practices to improve security and efficiency. · Maintain clear, up-to-date documentation of IAM configurations, processes and procedures. Why you? Basic Qualifications: · Bachelor’s degree in Computer Science, Information Technology or a related field. · Experience working with Identity & Access Management processes in enterprise environments, with a focus on security posture and compliance implementation. · Knowledge of integrating systems with LDAP, Entra ID and Active Directory (AD). · Knowledge of cloud IAM solutions and services offered by Microsoft Azure and other cloud providers. · Capable of understanding complex data requirements and designing or interpreting GraphQL schemas and related guardrails and security measures. Preferred Qualifications: · Proficiency in scripting languages such as TypeScript, JavaScript and .NET for automating IAM workflows and processes. · Experience with web applications and front-end technologies (for example React, HTML, CSS, TypeScript/JavaScript) to support IAM user interfaces such as admin consoles, dashboards and web forms. · Skilled in working with CI/CD practices and tools such as GitHub Actions or Azure DevOps, including use of GitHub and Azure DevOps for version control and pipelines. · Experience in deploying, managing and monitoring applications in cloud environments like Microsoft Azure or Google Cloud. · Strong problem-solving abilities with hands-on experience in debugging and resolving system errors. · Experience in managing and working with various database solutions, including Azure SQL, Oracle and NoSQL databases. · Knowledge of application security best practices and tools for safeguarding enterprise systems.
<br><br>
<b>#body.unify div.unify-button-container .unify-apply-now:</b> focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-

SME - Java, CA Identity Manager

Evince Development PVT. LTD.

<div><div><div><div><p>Location
</p><p>Ahmedabad
</p></div></div><div><div><p>Experience
</p><p>7 to 10 Years
</p></div></div><div><div><p>Job Code
</p><p>EDQAS062603
</p></div></div><div><div><p>Education Qualification
</p><p>Master Degree - Marketing
</p></div></div></div><h6 class="jobSectionHeader"><b>Job Briefing
</b></h6><p>vinceDev (Evince Development) is looking for Talented candidates as per the requirements described here.
<br>
Following are the Brief points of the Job requirements
</p><ul><li>Quality Assurance Strategy: Develop and implement comprehensive QA strategies aligned with EvinceDev's business objectives, focusing on live data, transaction volumes, and data accuracy.
</li><li>Test Planning &amp; Execution: Lead the creation, maintenance, and execution of test plans, test cases, and test scripts across all releases, ensuring thorough coverage of functional, performance, and security testing.
</li><li>Automation: Build and manage automated testing frameworks (UI, API, and regression) to increase efficiency and coverage, particularly for high-frequency transactions and data-intensive scenarios.
</li><li>AI Augmented QA &amp; Automation: Drive adoption of AI based testing tools and practices, including AI assisted test case generation, self healing automation scripts, predictive defect and risk analysis, and use of AI or LLM tools for log and anomaly analysis, to increase coverage and reduce manual QA effort across the team.
</li><li>Performance &amp; Load Testing: Conduct performance and load testing to ensure the application handles large real-time transaction and data volumes without degrading performance or user experience.
</li><li>Security &amp; Penetration Testing: Plan and oversee security testing, vulnerability assessments, and penetration testing to identify and close risks across the application, APIs, and data layers.
</li><li>Data Integrity &amp; Accuracy: Implement testing processes that guarantee live data is secure, consistent, and reliable across all transactions.
</li><li>Team Management, Leadership &amp; Mentorship: Lead, manage, and mentor the QA team owning task allocation, capacity planning, performance reviews, and skill development while embedding QA best practices.
</li><li>Hands On Contribution: Personally contribute to critical, complex, or high risk test scenarios such as security, performance, and AI tooling pilots, while leading and mentoring the broader QA team. This role is a hands on individual contributor position as well as a leadership position, not management only.
</li><li>Collaboration: Partner with development, product, and data teams to understand requirements, surface risks early, and align testing with project goals.
</li><li>Risk Management: Identify quality risks early in the SDLC and drive effective mitigation strategies with crossfunctional teams.
</li><li>Continuous Improvement: Lead initiatives to improve QA processes, tools, and methodologies, fostering a culture of excellence.
</li><li>Reporting: Produce detailed QA reports, metrics, and documentation to communicate test results, quality status, and issues to stakeholders.
</li></ul><h6 class="jobSectionHeader"><b>Must Have Skills
</b></h6><ul><li>Experience: 7+ years in QA with at least 2 years in a QA Lead / managerial role, managing a team in a datadriven or high-transaction environment.
</li><li>QA Fundamentals: Strong command of QA methodologies, the STLC, and test design techniques across manual and automated testing.
</li><li>Automation Testing: Hands-on expertise building and maintaining automation frameworks using tools such as Selenium, Cypress, Playwright, or Appium, plus API automation (Postman, REST Assured).
</li><li>AI Based Testing Tools: Practical experience with at least one AI driven testing or automation tool or framework (e.g. Testim, Mabl, Functionize, or similar), and the ability to evaluate and pilot new AI QA tooling for team wide adoption.
</li><li>Performance &amp; Load Testing: Proven experience with tools such as JMeter, k6, Gatling, or LoadRunner for highvolume, real-time transaction scenarios.
</li><li>Security &amp; Penetration Testing: Practical knowledge of application security testing, the OWASP Top 10, vulnerability assessment, and penetration testing using tools such as Burp Suite or OWASP ZAP.
</li><li>Team Management: Demonstrated ability to lead, allocate, mentor, and review a QA team and own delivery quality end-to-end.
</li><li>Data-Driven Focus: Proven experience testing live data, high transaction volumes, and data accuracy, with an understanding of the unique challenges these present.
</li></ul><h6 class="jobSectionHeader"><b>Primary Skills &amp; Tools
</b></h6><ul><li>Test Management &amp; Tooling: Familiarity with test/defect management tools (Jira, TestRail, Zephyr) and Agile/Scrum delivery.
</li><li>CI/CD &amp; DevOps Awareness: Understanding of integrating automated tests into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).
</li><li>AI/ML Awareness for QA: Conceptual understanding of how AI and ML based systems are tested differently from traditional deterministic software, covering data quality validation, model output validation, and edge case or bias testing. A plus given EvinceDev's fintech, healthcare, and insurance client base.
</li><li>Collaboration: Ability to work closely with developers, data engineers, and product managers to meet quality objectives.
</li><li>Problem-Solving: Strong analytical skills to identify and resolve quality issues quickly and effectively.
</li><li>Leadership: Experience leading a QA team with a focus on mentoring and developing members.
</li><li>Communication: Excellent verbal and written communication, able to present complex quality issues clearly to technical and non-technical stakeholders.
</li></ul><h6 class="jobSectionHeader"><b>Good To Have
</b></h6><ul><li>Database/SQL skills for back-end and data-integrity validation.
</li><li>Experience in fintech, e-commerce, or other high-transaction / live-data domains.
</li><li>Exposure to cloud environments (AWS, Azure, GCP) and containerized testing (Docker, Kubernetes).
</li><li>Experience defining QA metrics, dashboards, and quality KPIs at an organizational level.
</li><li>AI Copilot Integration: Experience integrating AI copilots such as GitHub Copilot or Claude into the development lifecycle for test authoring or code review support.
</li><li>Compliance Frameworks: Exposure to compliance frameworks relevant to client industries, specifically ISO 27001, SOC 2, HIPAA, and PCI DSS
</li></ul><div><p><b>To apply on this role kindly send email on </b><b>hr@evincedev.com</b></p></div></div>

QA Lead

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

EPAM Systems

<div><p><i>EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</i></p><p>
We are seeking an experienced <b>Lead/Sr MLOps Engineer</b> with deep expertise in Domino Data Lab to manage and optimize machine learning operations across the entire ML lifecycle. In this role, you will support platform reliability, drive infrastructure automation and ensure seamless deployment and monitoring of machine learning solutions in production environments.</p><p><b>
Responsibilities</b></p><ul><li>
Manage and optimize the Domino Data Lab platform across the machine learning lifecycle</li><li>
Oversee MLOps processes to support efficient model development and operations</li><li>
Maintenance of Kubernetes clusters and Docker containers for scalable workloads</li><li>
Implementation of CI/CD pipelines using Jenkins, GitLab and GitHub</li><li>
Administration of Linux environments to ensure system stability</li><li>
Provide platform support at L2/L3 levels for end users and stakeholders</li><li>
Monitoring and troubleshooting of platform issues to minimize downtime</li><li>
Collaboration with data science teams to streamline machine learning workflows</li><li>
Deployment and management of solutions across AWS, Azure and GCP</li></ul><p><b>
Requirements</b></p><ul><li>
5+ years of experience in MLOps or machine learning lifecycle management</li><li>
Knowledge of Domino Data Lab platform</li><li>
Expertise in Kubernetes and Docker</li><li>
Proficiency in Python and R</li><li>
Skills in CI/CD tools including Jenkins, GitLab and GitHub</li><li>
Familiarity with AWS, Azure and GCP</li><li>
Competency in Linux administration</li><li>
Capability to perform monitoring and troubleshooting</li><li>
Background in platform support at L2/L3 levels</li></ul><p><b>
Nice to have</b></p><ul><li>
Background in AI/ML engineering</li><li>
Skills in model deployment and monitoring</li><li>
Familiarity with data science platform support</li><li>
Proficiency in infrastructure automation using Terraform and Ansible</li></ul><p><b>
We offer</b></p><ul><li>
Opportunity to work on technical challenges that may impact across geographies</li><li>
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications</li><li>
Opportunity to share your ideas on international platforms</li><li>
Sponsored Tech Talks &amp; Hackathons</li><li>
Unlimited access to LinkedIn learning solutions</li><li>
Possibility to relocate to any EPAM office for short and long-term projects</li><li>
Focused individual development</li><li>
Benefit package:<ul><li>
Health benefits</li><li>
Retirement benefits</li><li>
Paid time off</li><li>
Flexible benefits</li></ul></li><li>
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)</li></ul></div>

Lead/Sr MLOps Engineer - Domino Data Lab

Precisely

<div>
 <p>
  <strong>
   <u>
    Application and Interview Impersonation Notice
   </u>
   :&nbsp;
  </strong>
  Impersonating another individual when applying for employment, and/or participating in an interview process to assist another individual in obtaining employment, with Precisely Software Incorporated (&ldquo;Precisely&rdquo;) is unlawful. &nbsp;If Precisely identifies such fraudulent conduct, then as applicable and to the extent permitted by law, the application will be rejected, an offer (if made) will be rescinded, or the employment will be terminated, and legal action may be taken against the impersonators.
 </p>
 <p>
  Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 95 of the Fortune 100. Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a "work from anywhere" culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it's an exciting time to join Precisely!
 </p>
 <p>
  Precisely is an AI-first organization. All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks. Candidates should be comfortable using generative AI tools (e.g., Microsoft Copilot, ChatGPT) in their day-to-day workflows, able to evaluate AI-generated outputs critically, and open to continuously adopting new AI capabilities as they emerge.
 </p>
 <p>
  <strong>
   Overview:
  </strong>
  Senior Automation Engineers at Precisely design, build, and scale automation that connects tools, systems, and teams across globalization and user assistance operations. As a senior member of a global team, you work closely with engineers, information developers, localization specialists, DevOps, and other cross-functional stakeholders in an Agile, agentic-first environment. You lead the design and evolution of automation frameworks, reduce manual effort at scale, improve system reliability, and enable end-to-end workflows through API integrations, scripting, CI/CD, and AI-enabled automation.
 </p>
 <p>
  <strong>
   What you will do:
  </strong>
 </p>
 <ul>
  <li>
   Lead the design and implementation of automation supporting workflows across the documentation and software development lifecycle, including content creation, validation, publishing, UI localization, translation, and delivery.
  </li>
  <li>
   Design, build, and operate production-grade agents, skills, scripts, and automation pipelines that replace complex, manual, and repetitive processes across documentation, localization, and language operations.
  </li>
  <li>
   Architect and integrate systems across documentation, localization, and content platforms using MCPs and REST APIs to enable reliable, scalable, and secure end-to-end workflows.
  </li>
  <li>
   Apply AI and LLM-based capabilities to generate, validate, transform, enrich, and manage content in alignment with approved security, privacy, and compliance standards.
  </li>
  <li>
   Own the reliability, performance, and maintainability of automation systems through monitoring, troubleshooting, and continuous improvement.
  </li>
  <li>
   Define and contribute to standards, patterns, and reusable components that support consistent and scalable automation practices.
  </li>
  <li>
   Mentor team members through technical guidance, design reviews, and knowledge sharing.
  </li>
  <li>
   Partner cross-functionally to advance automation maturity, innovation, and AI-assisted documentation and localization workflows.
  </li>
  <li>
   Other duties may be assigned.
  </li>
 </ul>
 <p>
  <strong>
   What we are looking for:
  </strong>
 </p>
 <ul>
  <li>
   BA/BS degree in computer science, engineering, information systems, or a related field, or equivalent practical experience.
  </li>
  <li>
   5+ years of experience in automation engineering, software engineering, or systems integration, preferably supporting developer platforms, documentation, localization, or content operations.
  </li>
  <li>
   Strong proficiency in Python, with experience building maintainable, testable, production-grade automation and agent frameworks.
  </li>
  <li>
   Advanced experience with Git-based workflows such as GitHub, including pull requests, code reviews, and repository automation.
  </li>
  <li>
   Experience with work-tracking and planning tools such as Jira, Linear, or similar systems.
  </li>
  <li>
   Strong understanding of CI/CD concepts and tools such as GitHub Actions, GitLab CI, Jenkins, or Azure DevOps.
  </li>
 </ul>
 <p>
  <strong>
   AI Skills / Knowledge:
  </strong>
 </p>
 <ul>
  <li>
   Strong experience using AI-assisted engineering tools (e.g., GitHub Copilot, Cursor) with awareness of responsible AI practices including security, privacy, bias, and traceability.
  </li>
  <li>
   Proven ability to design and operate production automation using Python and REST APIs.
  </li>
  <li>
   Hands-on experience building and maintaining automation pipelines using Git-based CI/CD systems.
  </li>
  <li>
   Demonstrated experience integrating LLMs via APIs to automate documentation and language operations.
  </li>
 </ul>
 <p>
  <strong>
   Preferred Skills:
  </strong>
 </p>
 <ul>
  <li>
   Experience designing or operating multi-agent or tool-orchestrated AI workflows at scale, including coordination and failure recovery.
  </li>
  <li>
   Experience owning or evolving shared automation frameworks used across multiple products or teams.
  </li>
  <li>
   Familiarity with observability, metrics, and cost tracking for AI-driven automation systems.
  </li>
  <li>
   Experience containerizing, deploying, or operating long-running automation or agent services in production environments.
  </li>
 </ul>
 <p>
 </p>
 <p>
  The personal data that you provide as a part of this job application will be handled in accordance with relevant laws. For more information about how Precisely handles the personal data of job applicants, please see the Precisely Candidate Privacy Notice
 </p>
</div>


Senior AI Automation Engineer – Agentic AI (Python)

Explore 62+ Lead data analyst in India this July. Find roles across top companies and apply now to boost your career.