About The Opportunity A key player in the Big Data solutions space, we specialize in creating and implementing large-scale data processing frameworks. Our mission is to help clients harness the power of data analytics to drive business insights and operational efficiency. With a strong focus on leveraging cutting-edge technologies, we provide a collaborative environment conducive to professional growth and innovation. Role & Responsibilities Design and implement scalable data processing frameworks using Hadoop and Spark. Develop ETL processes for data ingestion, transformation, and loading from diverse sources. Collaborate with data architects and analysts to optimize data models and enhance performance. Ensure data quality and integrity through rigorous testing and validation. Create and maintain documentation for data workflows, processes, and architecture. Troubleshoot and resolve data-related issues in a timely manner. Skills & Qualifications Must-Have Proficiency in the Hadoop ecosystem (HDFS, MapReduce, Hive). Hands-on experience with Apache Spark and its components. Strong SQL skills for querying relational databases. Experience with ETL tools and data integration technologies. Knowledge of data modeling techniques and best practices. Familiarity with Python for scripting and automation. Preferred Experience with NoSQL databases (Cassandra, MongoDB). Ability to tune performance for large-scale data workflows. Exposure to cloud-based data solutions (AWS, Azure). Benefits & Culture Highlights Dynamic work environment focused on innovation and continuous learning. Opportunities for professional development and career advancement. Collaborative team atmosphere that values diverse perspectives. Skills: sql proficiency,big data debveloper,data modeling techniques,data integration technologies,python scripting,etl tools,gcp,performance tuning,python,sql,hadoop ecosystem (hdfs, mapreduce, hive),apache spark,data modeling,pyspark,data warehousing,hadoop ecosystem Show more Show less

Job Title: Data Modeller – GCP Experience: 6–9 Years Work Type: On-site Work Location: Chennai (Work from Client Office – Mandatory) Job Description We are seeking a skilled Data Modeller with strong experience in data modelling for OLTP and OLAP systems, particularly within Google Cloud Platform (GCP). The ideal candidate will be hands-on with designing efficient, scalable data architectures and have a solid grasp of performance tuning and cloud-based databases. Key Responsibilities Design and implement Conceptual, Logical, and Physical Data Models for OLTP and OLAP systems Apply best practices in data indexing, partitioning, and sharding for optimized performance Use data modelling tools (preferably DBSchema) to support and document database design Ensure data architecture supports near real-time reporting and application performance Collaborate with cross-functional teams to translate business requirements into data structures Work with GCP database technologies like AlloyDB, CloudSQL, and BigQuery Validate and improve database performance metrics through continuous optimization Must-Have Skills GCP: AlloyDB, CloudSQL, BigQuery Strong hands-on experience with data modelling tools (DBSchema preferred) Expertise in OLTP & OLAP data models, indexing, partitioning, and data sharding Deep understanding of database performance tuning and system architecture Good To Have Functional knowledge of the mutual fund industry Exposure to data governance and security best practices in the cloud Show more Show less

We are looking for a skilled and passionate Node.js Developer to join our development team. As a backend developer, you will be responsible for developing scalable server-side logic, and APIs, and integrating front-end elements with server-side logic using Node.js. You should be comfortable working in a fast-paced environment and be ready to take ownership of backend systems. Responsibilities: Develop and maintain server-side components using Node.js. Build RESTful APIs and work on integration with frontend frameworks (React etc). Collaborate with product managers, designers, and frontend developers to understand requirements and deliver solutions. Ensure performance, security, and scalability of backend services. Work with databases such as MongoDB, MySQL, or PostgreSQL. Optimize applications for maximum speed and scalability. Implement automated tests, CI/CD pipelines, and participate in code reviews. Troubleshoot and debug production issues. Requirements: Strong proficiency in JavaScript and Node.js. Hands-on experience with frameworks like Express.js, NestJS (optional). Familiarity with front-end technologies (HTML, CSS, JavaScript) is a plus. Experience with databases such as MongoDB, MySQL, or PostgreSQL. Understanding of REST APIs, WebSockets, and microservices architecture. Familiarity with Git and version control workflows. Basic knowledge of Docker, cloud platforms (AWS, GCP, etc.) is a plus. Good problem-solving skills and ability to work independently or as part of a team. Show more Show less

Relocation Assistance Offered Within Country Job Number #166861 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Role Summary/Purpose We are seeking a skilled and experienced Full Stack Developer to join our dynamic team. As a Full Stack Developer, you will be responsible for designing, developing, and maintaining both front-end and back-end components of our web applications. The ideal candidate should have a strong understanding of web development technologies, frameworks, and best practices. If you are passionate about creating innovative solutions, collaborating with cross-functional teams, and delivering high-quality software, we invite you to apply. Responsibilities - Architect, Develop & Support backend & web applications for different cross functional Projects. Collaborate with cross-functional teams to design and implement scalable and maintainable software solutions. Develops the world class user interface and user experience of applications. Architect and design scalable and modular systems that adhere to best practices. Conduct thorough code reviews to ensure code quality, performance, and adherence to coding standards. Writes unit tests, conducts testing, and debugs code to ensure the reliability and functionality of the application. Provides mentoring and technical guidance to the development team. Ensures that development follows best practices and aligns with the overall architecture. Stay up-to-date with industry trends and advancements in web development. Required Qualifications - Bachelor's Degree in Computer Science, Information Technology, Mathematics, Engineering or similar degree At least 3-4 years experience developing and deploying end to end web applications Extensive experience with Python/Node Js and web development frameworks, particularly FastAPI/Express. Strong proficiency in front-end technologies such as HTML, CSS, JavaScript, and modern JS frameworks (React, Angular, or Vue). Proven experience in full stack development, including database design, API development, and server-side logic. Preferred Qualifications - Experience with Python, FastAPI, SQLAlchemy is desirable Familiarity with developing & deploying applications on cloud platforms like GCP/AWS. Experience with SQLAlchemy Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation. Show more Show less

Role: Google Cloud - Security Admin Exp: 4-6yrs Location: Chennai JD Expertise in IAM, VPC Service Controls, firewall policies, and security perimeter design. Experience with SIEM, threat intelligence, and incident response tools. Proficiency in Google Security Command Center, Chronicle, Cloud Armor, and IDS/IPS solutions. Strong knowledge of cloud encryption, DLP (Data Loss Prevention), and key management. Hands-on experience with Terraform, Python, or Bash for security automation. Experience in compliance audits, governance frameworks, and security controls. Must be able to advise and participate in discussions with Customer IT teams and create PPT/visualizations to help address security questions, concerns Must attain Professional Cloud Security Engineer for GCP or equivalent certification within one year Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing… As part of DMBM-BI, you will be helping to create and deliver a comprehensive measurement and reporting approach for all of Verizon Consumer Groups. In this role, you will interact with cross-functional teams working throughout Verizon bringing new experiences to life for our Customers. You will help in measurement, and reporting for cross-functional teams as they plan, build, and launch world-class experiences. You will help translate raw data into actionable insights and better experiences for our customers. Your deep knowledge of measurement solutions will help to determine the best approaches for implementations that best meet business needs. Working closely with the NBx/Pega Business teams and deliver reporting stories each release, and where required build new dashboards in Tableau or Qlik Sense Contributing to requirement sessions with key stakeholders and actively participate in grooming sessions with business teams Defining new metrics and business KPIs. Creating wireframes and mockups of reporting dashboards. Documenting all validated standards and processes to ensure accuracy across the enterprise. Collaborating with cross-functional teams to resolve NBx proposition anomalies and actively contribute to production defect resolutions. What We’re Looking For… You are a strong collaborator who can effectively own and prioritize multiple work streams and adapt during sometimes pressured situations. You display initiative and resourcefulness in achieving goals but are comfortable brainstorming and sharing ideas in a team environment. You will have excellent communication skills and the ability to speak effectively to internal and external stakeholders. You can partner across multiple business and technology teams. You should have strong Business Intelligence and analytics experience in CX (Customer Experience) area/root cause analytics with attention to detail, be adaptable to change and tight deadlines, and be focused on quality. Ability to mine, extract, transform, load large data sets, and create concise readouts and analyses based on the actionable insights found in the data. Bachelor’s degree and Six or more years of work experience. Six or more years of relevant work experience. Experience with SQL and SQL performance tuning. Experience with Tableau and Qlik Sense. Experience with data modeling for different data sources in Tableau or Qlik Sense. Knowledge of Google Suite and database management systems. Experience with dashboard creation with insightful visualization. Knowledge of OneJira or any ticketing tool. Even better if you have one or more of the following: Experience with third-party reporting tools (e.g., ThoughtSpot, IBM Cognos, Looker tools). Exposure to HiveQL, GCP Big Query, Teradata, and Oracle databases. Basic knowledge of programming languages (e.g., VBA/Python). Ability to derive insights from data and recommend action. Knowledge of end-to-end ETL process. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

Join our Team Grow with us Join our Team Job Description We are looking for and experienced Java Developer with strong technical expertise to design and leaddevelopment of scalable, high-performance Java / python applications. The ideal candidate should haveIndepth understanding of Java / python technologies, Design Pattern, Microservice Architecture, Docker&Kubernetes, Integration Framework. This role requires design skills, excellent problem-solving skills, and theability to collaborate with cross-functional teams, including DevOps, and Front-End developers. What You Will Do Design and implement back-end solutions using Java, Spring Boot and related frameworks. Design, develop and maintain scalable Java components using REST Microservices Design & develop enterprise solution with Messaging or Streaming Framework like ActiveMQ, Hornet Q &Kafka Work experience in AWS/GCP/Azure or Ericsson internal ADP Services Work with Integration Framework like Apache Camel/Jboss Fuse/Mule ESB/EAI/Spring Integration. Make effective use of Caching Technologies (like Hazle cast /Redis /Infini span /EH Cache /Memcached) inapplication to handle large volume of data set. Deploy the application in Middleware or App Server (like Jboss/WebLogic/tomcat) Collaborate with the DevOps team to manage builds and CI/CD pipelines using Jira, GitLab, Sonar and othertools. Communicate effectively with a diverse set of technical audiences to convey complex concepts. You will bring Strong expertise in Java/J2ee technologies Good understanding of Core Java concepts (like Collections Framework, Object Oriented Design) Experience in working with Multithreading Concepts (like Thread Pool, Executor Service, Future Task,Concurrent API, Countdown Latch) Detailed working exposure of Java8 with Stream API, Lambda, Interface, Functional Interfaces Proficiency in Java Web Application Development using Spring MVC & Spring Boot Good Knowledge about using Data Access Frameworks using ORM (Hibernate & JPA) Familiar with Database concepts with knowledge in NoSQL Good understanding of Microservice Architecture Familiarity in working with Design Pattern like Creational, Behavioral, Structural & Dependency Injection(SpringIoC) Proficiency in exposing & consuming using REST based Web Services Expertise in Messaging or Streaming Framework (any one like Active MQ/Hornet Q/Kafka) Knowledge about Caching Technologies (any one like Hazle cast/Redis/Infini span/EH Cache/Mem Cache) Working experience of Integration Framework (any one like Apache Camel/Jboss Fuse/Mule ESB/EAI/SpringIntegration) Hands on experience in any Middleware or App Server (any one like Jboss/tomcat) Knowledge of Java Enterprise Technologies (like Filters, Interceptor) Familiar with JEE Security (like Encryption/Decryption, Spring Security, SSL/TLS) Understanding of high-performance real time and distributed transactional processing Experience in Unit Testing (like Junit/nUnit/Mockito) and code coverage (like JaCoCo/Any Other) Knowledge of Cloud Technologies (like Docker & Kubernetes) Familiar with DevOps Tools like Git, GitLab, bitbucket, SVN etc, Static Code review with SonarQube & Agileprocess/tools like Jira. Good to have Telecom Domain Knowledge Good to have knowledge in Distributed log management (ELK, Splunk) Good to have scripting proficiency in Unix/Linux platform Good to have understanding on Security (Vulnerability/Privacy/Hardening etc) and their tools Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Bangalore Req ID: 766790 Show more Show less

A Bit About Us Trek is an awesome place to work, with amazing benefits for all employees. We build only products we love, provide incredible hospitality to our customers, and change the world by getting more people on bikes. When you’re on our team, you’re taken care of, encouraged to learn and grow, and given lots of opportunities to do so. Give us your best, and we’ll give it right back. Sound pretty sweet? Then come join us! Job Description A bit about us Trek is an awesome place to work, with amazing benefits for all employees. We build only products we love, provide incredible hospitality to our customers, and change the world by getting more people on bikes. When you’re on our team, you’re taken care of, encouraged to learn and grow, and given lots of opportunities to do so. Give us your best, and we’ll give it right back. Sound pretty sweet? Then come join us! Job Description IT Network Engineering Trek Bicycle | India Company Summary Trek Bicycle is a global leader in the design and manufacture of bicycles and related products. Trek believes the bicycle can be a simple solution to many of the world’s most complex problems and is committed to breaking down the barriers that prevent people from using bicycles more often for transportation, recreation, and inspiration. Our mission is to create products we love and take care of our customers. We value our team, making sure the best is on the field. We value new ideas from anywhere, inspiring others with our positive energy, dealing with reality to make the tough calls, and getting things done fast- turning ideas into reality. Come, join us, and help us transform the world, the bike, and have a blast while doing it! Position Description Trek Bicycle is looking for our next IT Infrastructure - Network Engineer. This person is detail oriented, possesses strong written and verbal communication skills. They should also have a strong track record of managing a global network environment that includes retail, cloud, and traditional data center networking technologies. While primarily focused on network engineering, success in this role also requires ensuring the technology we are delivering continuously evolves to meet our internal customer’s rapidly changing needs and objectives. Position Responsibilities: Manages and monitors all installed network infrastructure for the organization to be in line with company guidelines or SOP (standard operating procedure). Perform network administration tasks; research event-log warnings and errors; and monitor resources to ensure that systems architecture components work together seamlessly. Monitor data-center health using existing management tools and respond to hardware issues as they arise. Create incident ticket for device alerts for non-auto-ticketing alerts, triage and escalate. Engage WAN service provider/Vendor/TAC to troubleshoot the issue and escalate to get is resolved. Perform routine and scheduled audits of all systems. Engage regularly with upper management, providing reports on project status, activities, and achievements. Position Requirements Live Our Values: Align with our company's values and culture. Education and Experience: Hold a bachelor’s degree in computer sciences or related fields with at least 4-8 years of experience in network engineering. Detail-Oriented. Possess a high degree of organizational skills and impeccable attention to detail. Experience with scripting and automation tools. Autonomous Execution. Show the capability to work independently and understand and implement requirements without constant oversight. Good understanding on network technologies TCP/IP, DHCP, DNS, ARP, and IPsec. Good understanding with routing and dynamic routing protocols such as: OSPF, BGP Good knowledge on Enterprise wired and wireless network, firewalls, virtualization, load balancing and SD-WAN technologies. Technology: Cisco, Azure, Terraform, Ansible Excellent verbal and written communication skills in English Additional Experience Preferred: Google Cloud Platform (GCP) Oracle Cloud Infrastructure (OCI) Palo Alto Aruba Meraki SilverPeak 8x8 UCaaS / CCaaS If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Show more Show less

About the Role We are seeking a Project Manager or Business Analyst with PMP certification who can effectively manage development progress and testing for software projects. The ideal candidate will have a strong technical background, excellent stakeholder management skills, and expertise in leading Agile/Scrum teams through the entire software development lifecycle (SDLC). They will be responsible for overseeing project execution, ensuring quality assurance in testing, and driving teams towards successful delivery. Responsibilities Project Management: Define scope, timelines, risks, and deliverables while ensuring adherence to PMP best practices. Development Progress Management: Oversee SDLC, coordinate teams, and remove roadblocks for smooth execution. Testing & QA: Manage unit, system, UAT, and regression testing to ensure software quality. Stakeholder Management: Act as a liaison between development, QA, and business teams. Communicate updates, document requirements, and drive process improvements. Qualifications PMP Certification (Mandatory) Bachelor’s/Master’s in CS, IT, or Business 5+ years in project management or business analysis in software development Expertise in Agile, Waterfall, SDLC, CI/CD, and DevOps Proficiency in JIRA, Trello, Asana, MS Project, etc. Strong communication, risk management, and problem-solving skills Required Skills Strong communication skills Risk management expertise Problem-solving abilities Preferred Skills Agile/Scrum certifications (CSM, PMI-ACP, SAFe) Experience with test tools (Selenium, TestRail, Postman) Knowledge of Python, Java, JavaScript is a plus Cloud-based project management experience (AWS, Azure, GCP) Experience managing remote & distributed teams Ability to thrive in fast-paced, Agile environments Strong collaboration with cross-functional teams Location Kolkata(Hybrid) Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices. Show more Show less

About Lowe’s Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India About The Team A Merchandising Analyst plays a pivotal role in driving the performance of product assortments by leveraging data to optimize strategies. They are responsible for analyzing key trends across sales, margins, inventory, turnover, and other critical KPIs. By incorporating macroeconomic factors and leveraging forecasted expectations, they develop effective strategies to maximize revenue and margins, optimize inventory levels, and ensure customer needs are met efficiently. The ideal candidate should possess strong technical expertise, enabling them to conduct root cause analyses, A/B testing, hypothesis testing, and regression analysis. Their insights should translate into actionable recommendations that drive business results. Additionally, they are expected to collaborate with cross-functional teams to integrate metrics beyond merchandising and engage stakeholders to understand and address their specific requirements effectively. Job Summary The primary purpose of this role is to perform mathematical and statistical analysis or model building as appropriate. This includes following analytical best practices, analyzing and reporting accurate results, and identifying meaningful insights that directly support decision making. This role provides assistance in supporting one functional area of the business in partnership with other team members. At times, this role may work directly with the business function, but the majority of time is spent working with internal team members to identify and understand business needs. Roles & Responsibilities Core Responsibilities: Conduct in-depth analysis of business trends, financial performance, and market conditions. Develop and maintain data models, dashboards, and reports to support business decisions. Identify opportunities for operational improvements and recommend strategic solutions. Collaborate with cross-functional teams to translate data insights into actionable strategies. Ensure data accuracy, integrity, and security while handling large datasets. Present findings and recommendations to leadership in a clear and concise manner Years Of Experience 1 to 3 yrs of experience data analytics Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelor's degree in business administration, computer science, computer information systems (CIS), engineering, or related field (or equivalent work experience in lieu of degree) Skill Set Required Experience using basic analytical tools such as R, Python, SQL, SAS, Adobe, Alteryx, Knime, Aster Experience using visualization tools such as Power BI, Tableau Secondary Skills (desired) Experience with business intelligence and reporting tools (e.g., MicroStrategy, Business Objects, Cognos, Adobe, TM1, Alteryx, Knime, SSIS, SQL, Svr) and Enterprise level databases (Hadoop, GCP, Azure, Oracle, Teradata, DB2) Experience working with big, unstructured data in a retail environment Experience with analytical tools like Python, Alteryx, Knime, SAS, R, etc. Experience with visualization tools like MicroStrategy VI, Power BI, SAS-VA, Tableau, D3, R-Shiny Programming experience using tools such as R, Python Data Science experience using tools such as ML, Text mining Knowledge of SQL Project management experience Experience in home improvement retail Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits. Show more Show less

ob Title: Python Developer Machine Learning & AI (2–3 Years Experience) Job Summary: We are seeking a skilled and motivated Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. The ideal candidate will have hands-on experience in developing, training, and deploying machine learning models, and should be proficient in Python and associated data science libraries. You will work with our data science and engineering teams to build intelligent solutions that solve real-world problems. Key Responsibilities: Develop and maintain machine learning models using Python. Work on AI-driven applications, including predictive modeling, natural language processing, and computer vision (based on project requirements). Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. Preprocess, clean, and transform data for training and evaluation. Perform model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. Write modular, efficient, and testable code. Document processes, models, and experiments clearly for team use and future reference. Stay updated with the latest trends and advancements in AI and machine learning. Required Skills: 2–3 years of hands-on experience with Python programming. Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning). Experience with libraries such as scikit-learn , pandas , NumPy , Matplotlib , and Seaborn . Exposure to deep learning frameworks like TensorFlow , Keras , or PyTorch . Good understanding of data structures and algorithms. Experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field. Experience with deploying ML models using Flask , FastAPI , or Docker . Knowledge of MLOps and model lifecycle management is an advantage. Understanding of NLP or Computer Vision is a plus.

Job Description Job Title: Software Engineer- Angular Location: Bangalore, India Function: Engineering Position Type: Full-Time Position Level: Level 2 Who We Are Xactly is a leader in Sales Performance Management Solutions and a part of Vista Equity Partners portfolio companies since 2017. The Xactly Intelligent Revenue Platform helps businesses improve go-to-market outcomes through increased collaboration, greater efficiencies, and connecting data from all critical functions of the revenue lifecycle on a single platform. Born in the cloud almost 20 years ago, Xactly provides customers with extensive experience in solving the most challenging problems customers of all sizes face, backed by almost 20 years of proprietary data and award-winning AI. Named among the best workplaces in the U.S. by Great Place to Work six times, honored on FORTUNE Magazine’s inaugural list of the 100 Best Workplaces for Millennials, and chosen as the “Market Leader in Incentive Compensation” by CRM magazine. We’re building a culture of success and are looking for motivated professionals to join us! THE OPPORTUNITY The Xactly development team is full of smart engineers from top companies and universities and they execute quickly! In order to build and ship high quality products extremely fast, efficiently and in a continuous manner, Xactly engineers rely on their leaders to remove any obstacles and guide them through engineering practices. At Xactly, we build teams that are helpful, respect each other, maintain a high level of customer focus, inclusive of everyone and we strive for strong product ownership by the team. At Xactly, we believe everyone has a unique story to tell, and these small differences between us have a big impact. When bright, diverse minds come together, we’re challenged to think different ways, generate creative ideas, be more innovative, and take on new perspectives. Our customers come from different cultures and walks of life all around the world, and we believe our teams should reflect that to build strong and lasting relationships THE TEAM The ideal candidate will be extremely proficient and proven in the design and implementation of modern web application architectures. You must be strong in all aspects of mico-services, data access layers, API first design, single click deployment and technologies such as Java & Spring. Not only do we offer strong growth opportunities for top performers, but we also have a top-notch culture, benefits (check them out below) and more. Our strong C.A.R.E. values - Customer Focus, Accountability, Respect & Excellence - guide our every move, allowing us to be a leader in the incentive compensation & performance management market. We set the example with excellent customer experience and deliver an award winning SaaS (Software-as-a-Service) product Required Skills Key Requirements Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 2+ years of hands-on experience in front-end development with a strong focus on Angular Proficiency in JavaScript (ES6+), TypeScript, HTML5, CSS3/Sass. Extensive experience with state management libraries (Redux, MobX, or Context API). Strong understanding of RESTful APIs, GraphQL, and asynchronous data handling. Experience with testing frameworks (Jest, Mocha, Cypress) and front-end build tools (Webpack, Babel). Proficiency with version control systems (Git, GitHub, or GitLab). Knowledge of CI/CD pipelines and cloud services (AWS, GCP, or Azure). Strong problem-solving skills, attention to detail, and a passion for clean, maintainable code. Excellent communication skills and the ability to work effectively in a collaborative environment. Nice-to-Have Skills Experience with Next.js, Vue.js, or React Familiarity with micro-frontend architecture. Knowledge of performance optimization techniques for complex front-end applications. Exposure to sales performance management or enterprise software solutions. Experience with data visualization libraries like D3.js or Recharts. WITHIN ONE MONTH, YOU”LL ∙ Become familiar with the code base, development processes, and deployments. ∙ Become familiar with the product as customers will use it ∙ You may even have your first PR approved and in production. WITHIN THREE MONTHS, YOU’LL ∙ Become a contributor to the overall code base. ∙ Have PRs approved and deployed to production ∙ Contribute to design WITHIN SIX MONTHS, YOU’LL ∙ Working more autonomously and closer with product ∙ Helping troubleshoot issues ∙ Contribute new ideas to the product and development ∙ Be responsible for managing and monitoring the continuous integration and deployment WITHIN TWELVE MONTHS, YOU’LL ∙ Mentor Other Developers Benefits and Perks Paid Time Off (PTO) Comprehensive Insurance Coverage Tuition Reimbursement XactlyFit Gym/Fitness Program Reimbursement Kitchen Stocked Daily with Tasty Snacks, Fruit and Drinks Free Parking and Subsidized Bus Pass (a go-green initiative!) OUR VISION: Unleashing human potential to maximize company performance. We address a critical business need: to incentivize employees and align their behaviors with company goals. OUR CORE VALUES: Customer Focus | Accountability | Respect | Excellence (CARE) are the keys to our success, and each day we’re committed to upholding them by delivering the best we can to our customers. Xactly is proud to be an Equal Opportunity Employer. Xactly provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, pregnancy, sexual orientation, or any other characteristic protected by law. This means we believe in celebrating diversity and creating an inclusive workplace environment, where everyone feels valued, heard, and has a sense of belonging. By doing this, everyone in the Xactly family has the power to make a difference and unleash their full potential. We do not accept resumes from agencies, headhunters, or other suppliers who have not signed a formal agreement with us. Show more Show less

About Markovate: At Markovate, we build next-gen AI solutions that help businesses scale intelligently and stay future-ready. From cutting-edge Generative AI applications to computer vision and intelligent automation, our team transforms AI research into real-world products. We're now expanding our AI/ML leadership and looking for a driven, hands-on Lead AI/ML Engineer to guide the next wave of innovation. Why This Role is Exciting: You'll lead mission-critical AI initiatives from concept to deployment. Architect intelligent systems that directly impact global clients. Work with cross-functional teams to bring ML solutions to production at scale. Stay at the forefront of GenAI, MLOps, and LLM integration. Join a high-growth, innovation-first culture with real ownership. What You'll Do: Design and deploy scalable ML and GenAI models for diverse applications, including forecasting, recommendation, NLP, and computer vision. Lead a team of AI/ML and software engineers—providing architectural direction, code reviews, and mentorship. Translate complex business needs into actionable AI solutions. Own full ML pipelines: data ingestion, feature engineering, training, deployment, monitoring. Collaborate with product, data, and engineering teams to deliver impactful solutions. Apply best practices in MLOps, model versioning, retraining, and performance tracking. Stay current on the latest in LLMs, Transformers, Vision Models, and Foundation Models. Drive AI integration into full-stack applications and APIs. What We’re Looking For: 5+ years of experience in AI/ML or data science roles, with at least 1–2 years in a technical leadership capacity. Deep hands-on experience with Python, TensorFlow/PyTorch, and GenAI frameworks (e.g., Hugging Face Transformers, Lang Chain, Open AI API). Experience in computer vision (OpenCV, YOLO, segmentation models) or agentic AI. Experience deploying ML models in production using Docker, FastAPI, AWS/GCP/Azure. Exposure to MLOps tools (MLflow, Airflow, CI/CD pipelines). Solid understanding of model performance tuning, experimentation, and lifecycle management. Background in full-stack development (JavaScript/Node/React) is a plus. Strong problem-solving mindset, clear communication, and collaborative leadership style. Show more Show less

Job Summary We are seeking a highly skilled Lead Data Engineer/Associate Architect to lead the design, implementation, and optimization of scalable data architectures. The ideal candidate will have a deep understanding of data modeling, ETL processes, cloud data solutions, and big data technologies. You will work closely with cross-functional teams to build robust, high-performance data pipelines and infrastructure to enable data-driven decision-making. Experience: 7 - 12 years Work Location: Hyderabad (Hybrid) / Remote Mandatory skills: AWS, Python, SQL, Airflow, DBT Must have done 1 or 2 projects in Clinical Domain/Clinical Industry. Responsibilities Design and Develop scalable and resilient data architectures that support business needs, analytics, and AI/ML workloads. Data Pipeline Development: Design and implement robust ETL/ELT processes to ensure efficient data ingestion, transformation, and storage. Big Data & Cloud Solutions: Architect data solutions using cloud platforms like AWS, Azure, or GCP, leveraging services such as Snowflake, Redshift, BigQuery, and Databricks. Database Optimization: Ensure performance tuning, indexing strategies, and query optimization for relational and NoSQL databases. Data Governance & Security: Implement best practices for data quality, metadata management, compliance (GDPR, CCPA), and security. Collaboration & Leadership: Work closely with data engineers, analysts, and business stakeholders to translate business requirements into scalable solutions. Technology Evaluation: Stay updated with emerging trends, assess new tools and frameworks, and drive innovation in data engineering. Required Skills Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Experience: 7 - 12+ years of experience in data engineering Cloud Platforms: Strong expertise in AWS data services. Databases: Hands-on experience with SQL, NoSQL, and columnar databases such as PostgreSQL, MongoDB, Cassandra, and Snowflake. Programming: Proficiency in Python, Scala, or Java for data processing and automation. ETL Tools: Experience with tools like Apache Airflow, Talend, DBT, or Informatica. Machine Learning & AI Integration (Preferred): Understanding of how to architect data solutions for AI/ML applications Skills: aws,talend,python,snowflake,dbt,databricks,mongodb,postgresql,airflow,data engineering,etl,gcp,bigquery,sql,redshift,cassandra,azure,informatica Show more Show less

Role Overview: As an IT & Operations Engineer at Particle41 you will play a dual role, combining hands-on technical support with IT oversight responsibilities. This position is responsible for maintaining and troubleshooting the organization's IT systems and infrastructure while also overseeing the implementation of IT policies and strategies. The IT & Operations Engineer ensures that all IT operations are efficient, secure, and aligned with the company's goals. As the company grows, this role has the potential to transition more towards people / department leadership and vision. In This Role, You Will: Providing the technical support needs of the organization; manage and monitor all installed systems and networks and ensure high availability of IT services and infrastructure. Oversee data backup and disaster recovery procedures. Facilitating onboarding (account, email, and laptop provisioning and setup), security, access controls, and offboarding Managing Jira helpdesk board and fulfilling helpdesk tickets. Integrating new SaaS accounts with Particle41 SSO Directly manage critical infrastructure, applications, and information security Developing IT policies, processes, and documentation, such as knowledge base articles and end-user instructions. Collaborate with third-party vendors and service providers and manage IT budget and procurement Monitoring vendor performance metrics and SLA compliance Implementing IT projects for systems upgrades, integrations, and process improvements Establishing IT KPIs and metrics to track progress Identifying opportunities for process improvement and cost reduction through consolidation and automation Staying current on IT and cybersecurity industry trends Providing guidance on IT initiatives across the business Reporting on IT status, risks, issues, and achievements to leadership Skills and Experience We Value: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent work experience. 3+ years with the following required: Providing technical support for Mac Managing user access in Google Workspace, Microsoft Office 365, Microsoft Active Directory, or similar, including configuration of SSO/SAML integrations Previous experience with Atlassian Jira for boards/ticketing and Confluence for documentation. Managing IT processes, infrastructure, and vendor relationships Experience with cloud platforms (AWS, Azure, GCP) is a plus. Excellent documentation, communication, and analytical skills Strong problem-solving and troubleshooting skills. Certified (Current or Expired) in at least one of the following or equivalent certifications: Certified IT Manager (CITM), Information Technology Infrastructure Library (ITIL), Certified Information Systems Security Professional (CISSP), Certified in Governance of Enterprise IT (CGEIT) About Particle41 Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence (ELITE) E - Empowering: Enabling individuals to reach their full potential. L - Leadership: Taking initiative and guiding each other toward success. I - Innovation: Embracing creativity and new ideas to stay ahead. T - Teamwork: Collaborating with empathy to achieve common goals. E - Excellence: Striving for the highest quality in everything we do. We seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring. We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com.

Requirements Description and Requirements Key Responsibilities: Plan and design network configurations, including LANs, WANs, and cloud network architectures (high complexity tasks) Perform peer review for “method of procedure” and enforce standardization and policies Monitor and maintain network performance, troubleshooting issues as they arise. Diagnose and resolve network-related issues ( P1-P3 incident tickets) and higher complexity escalations from other Network Administrators and technology stack resources Document and implement complex normal changes and emergency changes Support global security audits reviewing collected evidence and participating in auditor interviews Configure and manage cloud resources, including virtual private clouds (VPCs), subnets, and security groups. Implement and maintain network security protocols to protect cloud infrastructure. Automate network configurations using Infrastructure as Code (IaC) tools. Collaborate with cloud engineering and DevOps teams to ensure seamless integration of networking solutions. Perform regular audits of network configurations and optimize for cost and performance. Coordinate network upgrades and expansion to keep up with organizational growth. Stay up to date with emerging cloud networking technologies and apply best practices. Plan and design network architecture based on the organization’s requirements and future growth Perform in-depth analysis of network requirements and documents them for new customer launches, complex changes, new multilayered platform infrastructure, and new buildings/ locations Develop the design standards and document the roadmap for network and storage infrastructure as well as governance of the cloud adoption/ cloud hyperscalers Design and plan the roadmap for integration of newly acquired companies Implement and maintain network security protocols including firewalls. VPMs, and intrusion detection/ prevention systems Research, test and propose new technology frameworks to push forward the effective use of automation and AI/GenAI. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field. At least 5 years of experience in network administration with a focus on cloud networking. Certifications in AWS (e.g., AWS Certified Solutions Architect, AWS Certified Advanced Networking) and GCP (e.g., Google Cloud Certified - Professional Cloud Network Engineer) are required. Strong knowledge of network protocols, DNS, DHCP, VPNs, and firewalls. Experience with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. Proficient in scripting languages (e.g., Python, Bash) for automation tasks. Excellent problem-solving skills and the ability to work under pressure. Effective communication skills and the ability to work collaboratively in a team environment. Experience with multi-cloud environments. Familiarity with other cloud platforms such as Azure is a plus. Knowledge of container orchestration (e.g., Kubernetes). Knowledge of documentation versioning (e.g., Github). Experience with network monitoring and management tools. Additional Job Description We are seeking an experienced and certified Network Administrator with a strong specialization in cloud networking to join our dynamic IT team. The ideal candidate will have expertise in both Amazon Web Services (AWS) and Google Cloud Platform (GCP), and will be responsible for ensuring the stability, security, and efficiency of our organization's network infrastructure in the cloud. Language Reference English EEO Statement At TELUS Digital, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS Digital is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada. We deliver contact center and business process outsourcing (BPO) solutions to some of the world's largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service - all backed by TELUS, our multi-billion dollar telecommunications parent. Equal Opportunity Employer At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity. Show more Show less

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Role Overview The Java Full Stack Developer is responsible for designing, developing, and maintaining scalable backend and frontend applications . This role requires expertise in Java-based backend development (Spring Boot, Microservices, Hibernate, SQL) and modern frontend frameworks (React.js, Angular, Vue.js) . The developer will work in an Agile, CI/CD, and DevOps-driven environment , focusing on application modernization, performance improvements, and feature enhancements for mission-critical applications in Freight, Rail, and Logistics . Required Technical Skills 🔹 Backend: Java, Spring Boot, Microservices, Hibernate, JPA, REST APIs, GraphQL 🔹 Frontend: React.js, Angular, Vue.js, TypeScript, JavaScript (ES6+), HTML5, CSS3, Bootstrap/Tailwind 🔹 Databases: SQL (Oracle, PostgreSQL, MySQL), NoSQL (MongoDB, Redis) 🔹 DevOps & CI/CD: Jenkins, GitHub Actions, GitLab CI/CD, Docker, Kubernetes, Terraform 🔹 Cloud & Security: AWS/Azure/GCP, OAuth2, JWT, SSL/TLS, IAM Policies 🔹 Monitoring & Performance: ELK Stack, Prometheus, New Relic, Grafana Key Responsibilities 1️ ⃣ Full Stack Development (Frontend & Backend) ✅ Backend (Java, Spring Boot, Microservices) Develop RESTful APIs and microservices using Spring Boot, Hibernate, and JPA. Implement database interactions with SQL (Oracle, PostgreSQL, MySQL) and NoSQL (MongoDB, Redis). Optimize backend performance, ensure scalability and fault tolerance. Implement authentication, authorization (OAuth2, JWT, SAML, LDAP). ✅ Frontend (React.js / Angular / Vue.js) Develop user-friendly, responsive UI components using modern JavaScript frameworks. Implement state management solutions (Redux, Context API, NgRx, Vuex). Integrate UI components with REST APIs and WebSockets for real-time data updates. Optimize frontend performance (lazy loading, caching, code splitting). 2️ ⃣ API & Integration Development ✅ Develop RESTful and GraphQL APIs for frontend and third-party integrations. ✅ Implement asynchronous messaging using Kafka, RabbitMQ, or ActiveMQ. ✅ Work on API Gateway solutions (Apigee, AWS API Gateway, Kong, Azure API Management). ✅ Develop and maintain third-party API integrations (SAP, Salesforce, Workday, Payment Gateways, etc.). 3️ ⃣ DevOps, CI/CD, and Cloud Deployment ✅ Implement CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps. ✅ Deploy containerized applications using Docker and Kubernetes (EKS, AKS, GKE, OpenShift). ✅ Manage cloud-based deployments on AWS, Azure, or GCP using Terraform, CloudFormation, Ansible. ✅ Work with logging and monitoring tools (Prometheus, ELK Stack, Datadog, New Relic). 4️ ⃣ Performance Optimization & Security ✅ Optimize backend query performance and database indexing. ✅ Improve frontend load times, caching strategies, and CDN integrations. ✅ Implement secure coding practices to prevent vulnerabilities (XSS, CSRF, SQL Injection). ✅ Work with SonarQube, Checkmarx, and Veracode for static code analysis and security compliance. 5️ ⃣ Agile Development & Collaboration ✅ Participate in Agile sprints, sprint planning, and retrospectives. ✅ Work closely with Product Owners, UX/UI Designers, and QA Engineers. ✅ Document technical designs, API contracts, and deployment guides. ✅ Conduct code reviews and mentor junior developers. 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At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Role Overview We are seeking a Senior Associate – AI Engineer / MLOps / LLMOps with a passion for building resilient, cloud-native AI systems. In this role, you’ll collaborate with data scientists, researchers, and product teams to build infrastructure, automate pipelines, and deploy models that power intelligent applications at scale. If you enjoy solving real-world engineering challenges at the convergence of AI and software systems, this role is for you. Key Responsibilities Architect and implement AI/ML/GenAI pipelines, automating end-to-end workflows from data ingestion to model deployment and monitoring. Develop scalable, production-grade APIs and services using FastAPI, Flask, or similar frameworks for AI/LLM model inference. Design and maintain containerized AI applications using Docker and Kubernetes. Operationalize Large Language Models (LLMs) and other GenAI models via cloud-native deployment (e.g., Azure ML, AWS Sagemaker, GCP Vertex AI). Manage and monitor model performance post-deployment, applying concepts of MLOps and LLMOps including model versioning, A/B testing, and drift detection. Build and maintain CI/CD pipelines for rapid and secure deployment of AI solutions using tools such as GitHub Actions, Azure DevOps, GitLab CI. Implement security, governance, and compliance standards in AI pipelines. Optimize model serving infrastructure for speed, scalability, and cost-efficiency. Collaborate with AI researchers to translate prototypes into robust production-ready solutions. Required Skills & Experience 4 to 9 years of hands-on experience in AI/ML engineering, MLOps, or DevOps for data science products. Bachelor's degree in Computer Science, Engineering, or related technical field (BE/BTech/MCA). Strong software engineering foundation with hands-on experience in Python, Shell scripting, and familiarity with ML libraries (scikit-learn, transformers, etc.). Experience deploying and maintaining LLM-based applications, including prompt orchestration, fine-tuned models, and agentic workflows. Deep understanding of containerization and orchestration (Docker, Kubernetes, Helm). Experience with CI/CD pipelines, infrastructure-as-code tools (Terraform, CloudFormation), and automated deployment practices. Proficiency in cloud platforms: Azure (preferred), AWS, or GCP – including AI/ML services (e.g., Azure ML, AWS Sagemaker, GCP Vertex AI). Experience managing and monitoring ML lifecycle (training, validation, deployment, feedback loops). Solid understanding of APIs, microservices, and event-driven architecture. Experience with model monitoring/orchestration tools (e.g, Kubeflow, MLflow). Exposure to LLMOps-specific orchestration tools such as LangChain, LangGraph, Haystack, or PromptLayer. Experience with serverless deployments (AWS Lambda, Azure Functions) and GPU-enabled compute instances. Knowledge of data pipelines using tools like Apache Airflow, Prefect, or Azure Data Factory. Exposure to logging and observability tools like ELK stack, Azure Monitor, or Datadog. Good to Have Experience implementing multi-model architecture, serving GenAI models alongside traditional ML models. Knowledge of data versioning tools like DVC, Delta Lake, or LakeFS. Familiarity with distributed systems and optimizing inference pipelines for throughput and latency. Experience with infrastructure cost monitoring and optimization strategies for large-scale AI workloads. It would be great if the candidate has exposure to full-stack ML/DL. Soft Skills & Team Expectations Strong communication and documentation skills; ability to clearly articulate technical concepts to both technical and non-technical audiences. Demonstrated ability to work independently as well as collaboratively in a fast-paced environment. A builder's mindset with a strong desire to innovate, automate, and scale. Comfortable in an agile, iterative development environment. Willingness to mentor junior engineers and contribute to team knowledge growth. Proactive in identifying tech stack improvements, security enhancements, and performance bottlenecks. Show more Show less

Alphanome.AI is an AI Research Lab and Venture Studio pioneering the creation of AI-first ventures that redefine traditional industries. Our mission is to leverage cutting-edge artificial intelligence to deliver innovative, impactful solutions to complex business challenges. Explore our venture portfolio: https://www.alphanome.ai/ventures. We are seeking a highly motivated and talented AI Research Assistant Intern to join our team and contribute to our groundbreaking work in Large Language Models (LLMs) and other AI domains. This is an excellent opportunity for a student or recent graduate to gain hands-on experience in a fast-paced, innovative environment. This position is based in Vizag. Tech Stack: Python ML/AI: PyTorch, Transformers, LangChain Cloud: GCP, Scaleway, AWS, Azure Key Responsibilities: AI/ML Research & Development: Assist in the design, development, and evaluation of LLM-powered systems. Help build and maintain data pipelines for processing and preparing data for LLM training and evaluation. Experiment with different model architectures, training techniques, and hyperparameter tuning. Contribute to the implementation of vector similarity search techniques for document retrieval and knowledge management. Data Analysis & Experimentation: Conduct literature reviews of the latest research in LLMs, transformers, and related areas. Analyze experimental results and contribute to research reports and presentations. Assist in the development of metrics for evaluating model performance. Tooling & Infrastructure: Support the team in maintaining and improving our AI development infrastructure. Assist in the development of tools for data annotation, model evaluation, and experiment tracking. Collaboration & Learning: Work closely with experienced AI researchers and engineers. Participate in team meetings, brainstorm ideas, and share knowledge. Contribute to internal documentation and knowledge sharing. Requirements: Technical Skills: Strong Python programming skills. Familiarity with Machine Learning concepts and techniques. Basic understanding of deep learning frameworks such as PyTorch or TensorFlow. Exposure to or interest in Large Language Models (LLMs) and Transformer architectures. Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy). Familiarity with Git and GitHub. Education & Experience: Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Some experience with Machine Learning projects (e.g., academic projects, personal projects, internships). Soft Skills: Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Ability to learn quickly and work independently. Enthusiasm for AI research and development. What We Offer: Hands-on Experience: Opportunity to work on cutting-edge AI projects with real-world impact. Exposure to the full AI development lifecycle, from research to deployment. Mentorship & Learning: Mentorship from experienced AI researchers and engineers. Opportunity to learn from and collaborate with a talented team. Exposure to a wide range of AI technologies and tools. Growth & Development: Opportunity to develop your skills and build your portfolio. Potential for future career opportunities within Alphanome.AI. Great Environment: A dynamic and collaborative work environment. Opportunity to contribute to a growing and innovative company. Apply Now! Show more Show less

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. The Opportunity When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills. As part of the Data Science team you will design and deliver scalable AI applications that drive business transformation. As a Senior Associate you will analyze complex problems, mentor junior team members, and build meaningful client connections while navigating the evolving landscape of AI and machine learning. This role offers the chance to work on innovative technologies, collaborate with cross-functional teams, and contribute to creative solutions that shape the future of the industry. Responsibilities Design and implement scalable AI applications to facilitate business transformation Analyze intricate problems and propose practical solutions Mentor junior team members to enhance their skills and knowledge Establish and nurture meaningful relationships with clients Navigate the dynamic landscape of AI and machine learning Collaborate with cross-functional teams to drive innovative solutions Utilize advanced technologies to improve project outcomes Contribute to the overall strategy of the Data Science team What You Must Have Bachelor's Degree in Computer Science, Engineering, or equivalent technical discipline 4-9 years of experience in Data Science/ML/AI roles Oral and written proficiency in English required What Sets You Apart Proficiency in Python and data science libraries Hands-on experience with Generative AI and prompt engineering Familiarity with cloud platforms like Azure, AWS, GCP Understanding of production-level AI systems and CI/CD Experience with Docker, Kubernetes for ML workloads Knowledge of MLOps tooling and pipelines Demonstrated track record of delivering AI-driven solutions Preferred Knowledge/Skills Please reference About PwC CTIO – AI Engineering PwC’s Commercial Technology and Innovation Office (CTIO) is at the forefront of emerging technology, focused on building transformative AI-powered products and driving enterprise innovation. The AI Engineering team within CTIO is dedicated to researching, developing, and operationalizing cutting-edge technologies such as Generative AI, Large Language Models (LLMs), AI Agents, and more. Our mission is to continuously explore what's next—enabling business transformation through scalable AI/ML solutions while remaining grounded in research, experimentation, and engineering excellence.ill categories for job description details. Role Overview We are seeking a Senior Associate – Data Science/ML/DL/GenAI to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team’s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation. Key Responsibilities Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases. Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments. Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes. Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs. Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives. Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions. Conduct R&D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics. Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team’s work. Required Skills & Experience 4 to 9 years of experience in Data Science/ML/AI roles. Bachelor’s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA). Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc. Hands-on experience with Generative AI, including prompt engineering, LLM fine-tuning, and deployment. Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows. Strong knowledge of NLP techniques, transformer architectures, and text analysis. Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered). Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch) Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc. Exposure to deploying AI models via APIs and integration into larger data ecosystems. Strong understanding of model operationalization and lifecycle management. Experience with Docker, Kubernetes, and containerized deployments for ML workloads. Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.). Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js). Demonstrated track record of delivering AI-driven solutions as part of large-scale systems. Show more Show less

Join SADA, An Insight company as a Senior Cloud platform Engineer ! Your Mission As a Senior Cloud Platform Engineer, you will work collaboratively to deliver high quality infrastructure projects on Google Cloud Platform for our cloud and hybrid-cloud customers. You will have an opportunity to work on real-world problems facing our customers in the field. Engagements vary from being purely consultative to requiring heavy hands-on work, and cover a range of domain areas, such as workload migrations from on-premises or other Clouds to GCP, standing up production ready infrastructure on GCP, building hybrid-cloud solutions leveraging infrastructure-as-code automation, and developing fully automated CI/CD pipelines. Moreover, you will be someone who will drive thought leadership, delivering best practice recommendations for internal and external solutions. You possess a diverse background in areas such as architecture design, distributed systems, infrastructure migration, and deployment strategies. To be successful, one must know how to navigate ambiguity, have extensive experience working with cloud technologies, have technical depth, and enjoy working with customers. In this role, you will: Be expected to tackle all technical challenges on whole projects and to mentor less experienced Cloud Infrastructure Engineers. You should be able to work independently, but should be a major participant in team reviews. Be recognized as having technical mastery within the practice with an established reputation with Google and our customers. Have demonstrable experience with public facing activities such as blogs, presentations, webinars, and OSS contributions. Ensure the best architecture and engineering approach is applied. You will be expected to repeatedly deliver complex projects, and will be the owner of the complete customer outcome, including complex technical components of the engagement. Participate in early-stage opportunity qualification calls, as well as lead client-facing technical discussions for established projects. Pathway to Success Our singular goal is to provide customers with the best possible experience in migrating, building, modernizing, and operationalizing their systems in Google Cloud Platform. Your success starts by positively impacting the direction of a dynamic practice with vision and passion. You will be measured quarterly by the breadth, magnitude, and quality of your contributions, your ability to estimate accurately, customer feedback at the close of projects, how well you collaborate with your peers, and the consultative polish you bring to customer interactions. As you continue to execute successfully, we will build a customized development plan together that leads you through the engineering or management growth tracks. Expectations Required Travel: 10% travel to customer sites, conferences, and other related events. Customer Facing: You will interact with customers on a regular basis, sometimes daily, other times weekly/bi-weekly. Common touch points occur when qualifying potential opportunities, at project kickoff, throughout the engagement as progress is communicated, and at project close. You can expect to interact with a range of customer stakeholders, including engineers, technical project managers, and executives. Onboarding/Training - The first several weeks of onboarding are dedicated to learning and will encompass learning materials/assignments and compliance training, as well as meetings with relevant individuals. Details of the timeline are shared closer to the start date. Job Requirements Required Credentials Google Cloud Architect Certified or able to complete within the first 45 days of employment. A secondary Google Cloud certification in any other specialization. Expert or Professional level certifications in either or both AWS and Azure. Required Qualifications: 5+ years of relevant experience in deploying, migrating, configuring and managing applications on any of the public clouds. Technical mastery of networking, VPNs, compute infrastructure (servers, databases, firewalls, load balancers, etc), and architecting/developing/maintaining production-grade systems in virtualized environments. Applied experience migrating complex, multi-tiered workloads from on-prem to the cloud, including provisioning the target infrastructure and executing cutover plans that minimize system downtime. Applied experience delivering immutable infrastructure-as-code solutions using tools like Terraform, Ansible, Chef, Puppet, Salt, and Packer. Applied experience delivering continuous integration/continuous delivery pipelines, utilizing techniques like blue/green and canary deployments, with tools such as Jenkins, CircleCI, TravisCI, and Spinnaker. Working knowledge of systems monitoring, capacity planning, and performance tuning. Experience writing software in one or more languages such as Go and Python Useful Qualifications Knowledge and understanding of industry trends and new technologies and the ability to apply trends to architectural needs. Proven experience and understanding of architecture principles across infrastructure platforms, security, data, integration, and application layers. Experience working with containerization technologies (Kubernetes, Docker, etc) Experience being an administrator on a variety of Linux distributions. Experience with information security practices and procedures Strong working knowledge of VMware, KVM, Xen, Hyper-V, or other virtualization software About SADA An Insight company Values: We built our core values on themes that internally compel us to deliver our best to our partners, our customers and to each other. Ensuring a diverse and inclusive workplace where we learn from each other is core to SADA's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer. Hunger Heart Harmony Work with the best: SADA has been the largest Google Cloud partner in North America since 2016 and, for the eighth year in a row, has been named a Google Global Partner of the Year. Business Performance: SADA has been named to the INC 5000 Fastest-Growing Private Companies list for 15 years in a row, garnering Honoree status. CRN has also named SADA on the Top 500 Global Solutions Providers list for the past 5 years. The overall culture continues to evolve with engineering at its core: 3200+ projects completed, 4000+ customers served, 10K+ workloads and 30M+ users migrated to the cloud. SADA India is committed to the safety of its employees and recommends that new hires receive a COVID vaccination before beginning work . Show more Show less

Join SADA, an Insight Company as a Enterprise Cloud Architect, Infrastructure! Your Mission As a Enterprise Cloud Architect at SADA, with a specialization in Infrastructure, Networking and Security, you will have significant knowledge and experience with "everything cloud infrastructure related." You will have held different roles throughout your extensive career enabling you to work with many different technologies and industries. As part of your role, you will collaborate with various teams, including customers, engineering, sales, and Googlers. You will oversee GCP Infrastructure projects for large and intricate client engagements, sometimes acting as our "account CTO." You'll run discovery calls, workshops, etc to work with customers, Google and Sada. You'll provide estimations and work on Statements of Work (SOW) and supporting material. You will design world-class hybrid-multi-cloud solutions and solve hard problems. You will have a hands-on approach, researching and presenting solutions, conducting experiments, and building prototypes to validate ideas and demonstrate the effectiveness of the solutions you recommend. You will also spearhead the implementation of projects and lead other engineers to deliver on your vision. SADA is a services-focused company and you will have the opportunity to support customers spanning every industry--including gaming, logistics, financial, healthcare, retail, and SaaS--each with different use cases and objectives. You will obtain a breadth of skills and experience unparalleled at other companies. What you would be doing on a daily basis: Work on different types of projects in various stages of development, including pre-sales/scoping, discovery, and architecting solutions Oversee executing projects that could be greenfield GCP landing zone implementations, public cloud re-platforming to GCP, migrations of data centers, or optimizing existing Infrastructure Prototype Proof of Concepts for customer/team feedback Assess existing and design new secure cloud architectures Design and implement advanced security controls in collaboration with customers Quality-Review solutions delivered by other engineers on the project Deliver hands-on technical mentoring and leadership to engineers on the project, especially when using niche architectural patterns. Keep the communication channels with the client transparent to update on progress, gather feedback, and evaluate opportunities. Assist the Project Managers and Clients in making high-impact decisions to improve the quality/time-to-market delivery where relevant. Stay current with leading-edge cloud security technologies, products, and best practices Pathway to Success Your super-power will be in helping customers understand specifically how Google Cloud technology can fundamentally solve their business challenges with technology, enabling them to meet their goals. You will inspire cross-functional leadership from our engineering teams. You will be trusted to guide large enterprise engagements and given the freedom to build new solutions that meet customer needs. You will establish yourself as a renowned specialist within SADA, earning a reputation with customers and the Google Cloud sales and professional services teams for your wide-ranging domain knowledge. Other engineers and architects will routinely defer to your expertise when it comes to the delivery of secure project architectures. In your role, you'll manage client-oriented technical conversations. Collaborating with client architects and technology heads, you will design expansive and extended client initiatives. Success will be measured by Client satisfaction, deals won, and your contributions to the team's goals. Expectations Required Travel - Up to 25% travel to customer sites, conferences, and other related events. Customer Facing - This is a customer-facing role. You will interact with customers on a daily basis. You will participate in calls and customer meetings to qualify for consultative engagements with engineering and business teams. You will present solutions, architectures, SOWs, demos, and other technical materials to build trust and confidence in SADA's ability to take the customer through their cloud adoption. Onboarding/Training - The first several weeks of onboarding are dedicated to learning and will encompass learning materials/assignments, compliance training, and meetings with relevant individuals. Details of the timeline are shared closer to the start date. Job Requirements Required Credentials: Bachelor's or Master's degree in Computer Science, Software Engineering or Information Technology, or 10+ years of relevant work experience architecting and operating cloud services. Google Professional Cloud Architect Certified and/or Google Professional Cloud Security Engineer Certified, or able to complete one of the above within the first 45 days of employment. Required Qualifications: Demonstrated experience designing highly available, secure, fault-tolerant, and scalable cloud architectures for enterprise clients and managing them in production. At least one of the following: Deep understanding of networking concepts, security best practices, and compliance requirements within cloud environments. Deep knowledge of cloud-native architectures, service meshes, containerization, and Kubernetes. Deep understanding of security products and the principles of zero trust architecture, especially BeyondCorp Enterprise Experience architecting and implementing API management solutions, with specific expertise in Google Cloud's Apigee platform, including API design, security, governance, and lifecycle management. Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible. Experience in leading intricate, long-term customer projects. Examples may include transitioning from one cloud to another or migrating an enterprise data center to the cloud. Experience providing leadership, supervision, and direction in data-oriented projects, ideally in a high-growth organization. Technical mastery of networking, VPNs, compute infrastructure (servers, databases, firewalls, load balancers, etc), and architecting/developing/maintaining production-grade systems in virtualized environments. Applied experience migrating complex, multi-tiered workloads from on-prem to the cloud, including provisioning the target infrastructure and executing cutover plans that minimize system downtime. Experience facilitating technical design sessions, architecting and documenting infrastructure/networking/security solutions aligned with client business objectives, and identifying gaps between the client's current and desired end states. Applied experience delivering continuous integration/continuous delivery pipelines, utilizing techniques like blue/green and canary deployments, with tools such as Jenkins, CircleCI, TravisCI, and Spinnaker. Working knowledge of systems monitoring, capacity planning, and performance tuning. Experience writing software in one or more languages such as Go and Python Ability to evaluate and select suitable technologies and frameworks to meet specific project needs, while assessing risks and trade-offs. Ability to architect, scope, and prioritize work based on feedback from the customer or internal teams. Experience working with customers in a consulting capacity, including persuading them to adopt more efficient technologies and processes. Excellent written and verbal communication skills, with the ability to communicate technical concepts to technical and non-technical stakeholders. Time management skills with the ability to manage multiple streams. Enthusiasm for learning new technologies, industry trends, and best practices in data architecture and cloud computing. Ability to quickly adapt to changing business requirements and technologies in a fast-paced environment delivering real-time data applications using streaming data technologies like Apache Kafka, Google Cloud Pub/Sub, or Amazon Kinesis. Experience using Google Cloud Platform, particularly GKE, Cloud Run, Anthos, and VPC, Load Balancers, Compute Engine. Bonus Qualifications: Familiarity with VMware, Google Compute VMware Engine. Experience with cloud data offerings and solutions (Microsoft Azure, Amazon AWS). About SADA An Insight company Values: We built our core values on themes that internally compel us to deliver our best to our partners, our customers and to each other. Ensuring a diverse and inclusive workplace where we learn from each other is core to SADA's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer. Hunger Heart Harmony Work with the best: SADA has been the largest Google Cloud partner in North America since 2016 and, for the eighth year in a row, has been named a Google Global Partner of the Year. Business Performance: SADA has been named to the INC 5000 Fastest-Growing Private Companies list for 15 years in a row, garnering Honoree status. CRN has also named SADA on the Top 500 Global Solutions Providers list for the past 5 years. The overall culture continues to evolve with engineering at its core: 3200+ projects completed, 4000+ customers served, 10K+ workloads and 30M+ users migrated to the cloud. SADA India is committed to the safety of its employees and recommends that new hires receive a COVID vaccination before beginning work . Show more Show less

Join SADA, an Insight company as a Senior AI Engineer! Your Mission We're seeking a highly skilled and visionary Senior AI Engineer to pioneer and lead our AI initiatives, establishing a robust AI foundation across our organization. As the go-to expert, you'll be critical in architecting and implementing advanced AI-driven solutions, leveraging platforms like CCAIP , Vertex AI , and Generative AI to influence product roadmaps and drive innovation. This role focuses significantly on designing, implementing, and deploying sophisticated AI-powered solutions for Contact Centers (CCAI) for our clients, alongside building robust data solutions . You'll also provide essential technical leadership and mentorship to ensure the successful delivery of projects. Responsibilities: Solution Design & Architecture: Lead the technical design and architecture of complex AI/ML solutions, including intricate conversational AI flows. This involves deeply leveraging the Google Cloud Platform (GCP) to architect solutions within Dialogflow CX, integrating with other GCP services, and designing robust data solutions using BigQuery and other relevant tools. Provide deep technical guidance specific to the CCAI ecosystem and ensure architectural alignment with Google Cloud best practices. Hands-on Development & Deployment: Drive hands-on development and deployment of complex AI components, including advanced Conversational AI components on Google CCAI. Expertly utilize Dialogflow CX, Vertex AI (including generative AI capabilities), and GCP compute services for custom integrations. Generative AI & LLMs: Implement and integrate generative AI models and Large Language Models (LLMs), including custom development and deployment, for enhanced conversational experiences and broader AI applications. Explore multimodal use cases involving audio, video, or images. CCAI Platform Management: Lead significant projects such as Dialogflow ES to CX migrations, ensuring seamless transition and optimization of conversational agents. Integrate AI solutions with various CCaaS (Contact Center as a Service) platforms like UJET/CCAIP. Data Solutions: Architect and implement robust data pipelines and solutions using BigQuery and other relevant tools for AI model training, inference, and analytics, particularly for conversational data. Technical Leadership & Mentorship: Provide deep technical guidance and mentorship to junior engineers and developers in their areas of expertise, sharing best practices and troubleshooting techniques, and fostering a culture of knowledge sharing and continuous improvement. Pre-Sales Support Contribution: Collaborate as a lead technical expert in strategic pre-sales engagements for Google CCAI, delivering expert solution demonstrations, crafting compelling technical proposals, and conducting in-depth workshops to address complex client needs. Innovation & Research: Proactively research and evaluate the latest advancements in AI/ML, generative AI, LLMs, and particularly Google CCAI, Dialogflow CX, and Vertex AI Gen AI, to identify opportunities for solution enhancement and team knowledge sharing. Pathway to Success Our singular goal is to provide customers the best possible experience in building, modernizing, and maintaining applications in Google Cloud Platform. Your success starts by positively impacting the direction of a dynamic practice with vision and passion. You will be measured quarterly by the breadth, magnitude and quality of your contributions, your ability to estimate accurately, customer feedback at the close of projects, how well you collaborate with your peers, and the consultative polish you bring to customer interactions. As you continue to execute successfully, we will build a customized development plan together that leads you through the engineering or management growth tracks. Required Qualifications: 5+ years of experience in IT, with proven experience contributing to the design, building, and deployment of enterprise-grade AI/ML solutions, including a significant focus on contact center and conversational AI solutions. Strong understanding of AI/ML principles, natural language processing (NLP), machine learning algorithms, and deep learning architectures. Expert-level hands-on experience with Google Cloud Platform (GCP) , particularly services such as: Dialogflow CX (advanced proficiency is a must) Vertex AI (especially generative AI features, custom model deployment, Vertex AI Search) BigQuery Cloud Functions or similar serverless compute Experience with Google CCAI services and ecosystem. Hands-on experience deploying and using 3rd-party LLMs. Familiarity with AI Applications like agent builder, agent space, concepts of datastore, fine tuning (Connectors, Controls, ACLs, etc.). Strong understanding of contact center operations and technologies. Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences (both technical and non-technical). Preferred Qualifications: Familiarity with Agile development methodologies. Industry certifications in relevant technologies (e.g., Google Cloud Professional Machine Learning Engineer). Experience tuning applications for non-functional requirements, i.e., usability, maintainability, scalability, availability, security, portability, etc. Exposure to relational and NoSQL datastores. Experience with API design and development (RESTful, gRPC) and strong familiarity with relevant programming languages for AI/ML development (e.g., Python). Familiarity with frontend web technologies, particularly React or Angular, for building user interfaces that integrate with AI solutions. Experience with other cloud offerings and solutions (e.g., AWS Lex, SageMaker, Lambda, or Azure Bot Service, Machine Learning). Good to have experience in: Agent Assist ML: Data Ingestion, Exploration, Transformation, and Validation ML: Model Development Frameworks ML: Specialized Modeling Areas ML: Evaluation and Monitoring About SADA An Insight company Values: We built our core values on themes that internally compel us to deliver our best to our partners, our customers and to each other. Ensuring a diverse and inclusive workplace where we learn from each other is core to SADA's values. We welcome people of different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer. Hunger Heart Harmony Work with the best: SADA has been the largest Google Cloud partner in North America since 2016 and, for the eighth year in a row, has been named a Google Global Partner of the Year. Business Performance: SADA has been named to the INC 5000 Fastest-Growing Private Companies list for 15 years in a row, garnering Honoree status. CRN has also named SADA on the Top 500 Global Solutions Providers list for the past 5 years. The overall culture continues to evolve with engineering at its core: 3200+ projects completed, 4000+ customers served, 10K+ workloads and 30M+ users migrated to the cloud. SADA India is committed to the safety of its employees and recommends that new hires receive a COVID vaccination before beginning work . Show more Show less

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on. At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all. Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you. Software Engineering Manager (M3) We are seeking a seasoned Engineering Manager (M3 Level) to join our dynamic team. As a first-line manager, you will lead a team of talented engineers, driving technical excellence, fostering a culture of ownership, and ensuring the successful delivery of high-impact projects. You will be responsible for guiding technical decisions, managing team performance, and aligning engineering efforts with business goals. Responsibilities Technical Leadership: Provide technical leadership and direction for major projects, ensuring alignment with business goals and industry best practices. Be hands-on with code, maintaining high technical standards and actively participating in design and architecture decisions, code reviews, and helping engineers optimize their code. Ensure that high standards of performance, scalability, and reliability are maintained when architecting, designing, and developing complex software systems and applications. Ensure accountability for the team’s technical decisions and enforce engineering best practices (e.g., documentation, automation, code management, security principles, leverage CoPilot). Ensure the health and quality of services and incidents, proactively identifying and addressing issues. Utilize service health indicators and telemetry for action. Implement best practices for operational excellence. Play a pivotal role in the R.I.D.E. (Review, Inspect, Decide, Execute) framework. Understand CI/CD pipelines from build, test, to deploy phases. Team Management Lead and manage a team of software engineers, fostering a collaborative and high-performance environment. Conduct regular performance reviews, provide feedback, and support professional development. Foster a culture of service ownership and enhance team engagement. Drive succession planning and engineering efficiency, focusing on quality and developer experience through data-driven approaches. Promote a growth mindset, understanding and driving organizational change. Actively seek opportunities for team growth and cross-functional collaboration. Works and guides the team on how to operate in a DevOps Model. Taking ownership from working with product management on requirements to design, develop, test, deploy and maintain the software in production. Coaching And Development Grow and develop the team technically and with a quality mindset, providing strong and actionable feedback. Provide technical mentorship and guidance to engineers at all levels, fostering a culture of learning, collaboration, and continuous improvement, encouraging the team to experiment, learn, and iterate on processes and technologies. Stay current with emerging technologies and industry trends, advocating for their adoption where appropriate to drive innovation and productivity within the team. Execution Excellence Oversee the planning, execution, and delivery of high-impact software projects, ensuring they are completed on time and within budget. Manage team workload and capacity, setting priorities and managing risks and tradeoffs. Align team efforts with the strategic direction of the company, understanding the big picture and business needs. Demonstrate engineering excellence and service ownership, including cost and quality management of services, and effective production management. Collaborate with cross-functional teams, including product management, design, and operations, to ensure alignment and successful delivery of projects. Communicate effectively with stakeholders at all levels. Make deployment decisions with appropriate risk mitigation. Minimum Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 8+ years of experience in software development, with 3+ years in a technical leadership role and 2+ years in a people management role. Proven track record of leading and delivering large-scale, complex software projects. Deep expertise in one or more programming languages such as C, C++, C#, .NET, Python, Java, or JavaScript. Extensive experience with software architecture and design patterns. Strong understanding of cloud technologies and DevOps principles. Excellent problem-solving skills and attention to detail. Excellent communication and leadership skills, with a demonstrated ability to influence and drive change. Preferred Qualifications Master’s degree or PhD in Computer Science, Engineering, or a related technical field. Experience with cloud platforms like Azure, AWS, or GCP. Familiarity with CI/CD pipelines and automation tools. Knowledge of agile development methodologies. Experience in a complex, matrixed organization. Demonstrated commitment to diversity and inclusion initiatives. Familiarity with developing accessible technologies. Where we’re going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com Show more Show less

Position Overview We are seeking a talented Full Stack Developer experienced in Java, Kotlin, Spring Boot, Angular, and Apache Kafka to join our dynamic engineering team. The ideal candidate will design, develop, and maintain end-to-end web applications and real-time data processing solutions, leveraging modern frameworks and event-driven architectures. Location : offshore Timings : Until US EST Noon hours Experience : 4-6 Years Key Responsibilities Design, develop, and maintain scalable web applications using Java, Kotlin, Spring Boot, and Angular. Build and integrate RESTful APIs and microservices to connect frontend and backend components. Develop and maintain real-time data pipelines and event-driven features using Apache Kafka. Collaborate with cross-functional teams (UI/UX, QA, DevOps, Product) to define, design, and deliver new features. Write clean, efficient, and well-documented code following industry best practices and coding standards. Participate in code reviews, provide constructive feedback, and ensure code quality and consistency. Troubleshoot and resolve application issues, bugs, and performance bottlenecks in a timely manner. Optimize applications for maximum speed, scalability, and security. Stay updated with the latest industry trends, tools, and technologies, and proactively suggest improvements. Participate in Agile/Scrum ceremonies and contribute to continuous integration and delivery pipelines. Required Qualifications Experience with cloud-based technologies and deployment (Azure, GCP). Familiarity with containerization (Docker, Kubernetes) and microservices architecture. Proven experience as a Full Stack Developer with hands-on expertise in Java, Kotlin, Spring Boot, and Angular (Angular 2+). Strong understanding of object-oriented and functional programming principles. Experience designing and implementing RESTful APIs and integrating them with frontend applications. Proficiency in building event-driven and streaming applications using Apache Kafka. Experience with database systems (SQL/NoSQL), ORM frameworks (e.g., Hibernate, JPA), and SQL. Familiarity with version control systems (Git) and CI/CD pipelines. Good understanding of HTML5, CSS3, JavaScript, and TypeScript. Experience with Agile development methodologies and working collaboratively in a team environment. Excellent problem-solving, analytical, and communication skills. Show more Show less