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A Desktop Support Engineer is responsible for providing technical support for computer hardware and software issues in an organization's desktop environment. The role involves assisting employees with troubleshooting, maintaining, and resolving issues related to their desktops, laptops, and peripherals.
Job Summary:
- Hardware Support:
- Install, configure, and maintain desktops, laptops, and peripherals (printers, monitors, etc.).
- Perform hardware repairs and upgrades.
- Software Support:
- Troubleshoot and resolve software-related issues, including OS installations, software updates, and application support.
- Ensure proper functioning of office productivity software (MS Office, etc.) and enterprise applications.
- Network Support:
- Provide assistance in connecting workstations to the company network and resolving connectivity issues.
- Troubleshoot network-related issues on desktops and laptops.
- User Support:
- Assist employees with troubleshooting technical problems, including login issues, system crashes, and application errors.
- Offer guidance on proper system usage and IT best practices.
- System Maintenance:
- Regularly update and patch desktop systems to ensure security and functionality.
- Backup important files and data as per company policy.
- Documentation:
- Maintain logs of issues, solutions, and configurations for future reference.
- Document common problems and resolutions for knowledge-sharing purposes.
- Customer Service:
- Provide excellent customer service and maintain a professional demeanor when dealing with users' technical issues.
Key Skills:
- Technical Knowledge: Proficient in desktop operating systems (Windows, Mac OS, Linux) and office software.
- Problem-Solving: Ability to diagnose and resolve technical issues efficiently.
- Communication: Strong verbal and written communication skills to interact with end-users.
- Networking Basics: Understanding of network configurations and troubleshooting.
- Time Management: Capable of handling multiple requests and prioritizing tasks.
JOB DESCRIPTION/PREFERRED QUALIFICATIONS:
KEY RESPONSIBILITIES:
- Lead and mentor a team of algorithm engineers, providing guidance and support to ensure their professional growth and success.
- Develop and maintain the infrastructure required for the deployment and execution of algorithms at scale.
- Collaborate with data scientists, software engineers, and product managers to design and implement robust and scalable algorithmic solutions.
- Optimize algorithm performance and resource utilization to meet business objectives.
- Stay up to date with the latest advancements in algorithm engineering and infrastructure technologies and apply them to improve our systems.
- Drive continuous improvement in development processes, tools, and methodologies.
QUALIFICATIONS:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience in developing computer vision and image processing algorithms and ML/DL algorithms.
- Familiar with high performance computing, parallel programming and distributed systems.
- Strong leadership and team management skills, with a track record of successfully leading engineering teams.
- Proficiency in programming languages such as Python, C++ and CUDA.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
PREFERRED QUALIFICATIONS:
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with GPU architecture and algo development toolkits like Docker, Apptainer.
MINIMUM QUALIFICATIONS:
- Bachelor's degree plus 8 + years of experience
- Master's degree plus 8 + years of experience
- Familiar with high performance computing, parallel programming and distributed systems.
MUST-HAVE SKILLS:
- Phd with 6 yrs industry exp or M.Tech + 8 yrs experience or B.Tech + 10 yrs experience.
- 14 yrs exp if an IC role.
- Minimum 1 yrs experience working as a Manager/Lead
- 8 years' experience in any of the programming languages such as Python/C++/CUDA.
- 8 years' experience in Machine learning, Artificial intelligence, Deep learning.
- 2 to 3 years exp in Image processing & Computer vision is a MUST
- Product / Semi-conductor / Hardware Manufacturing company experience is a MUST. Candidates should be from engineering product companies
- Candidates from Tier 1 colleges like (IIT, IIIT, VIT, NIT) (Preferred)
- Relocation to Chennai is mandatory
NICE TO HAVE SKILLS:
- Candidates from Semicon or manufacturing companies
- Candidates with more than 8 CPGA
About Moative
Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets.
Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.
Work you’ll do
As an AI Engineer at Moative, you will be at the forefront of applying cutting-edge AI to solve real-world problems. You will be instrumental in designing and developing intelligent software solutions, leveraging the power of foundation models to automate and optimize critical workflows. Collaborating closely with domain experts, data scientists, and ML engineers, you will integrate advanced ML and AI technologies into both existing and new systems. This role offers a unique opportunity to explore innovative ideas, experiment with the latest foundation models, and build impactful products that directly enhance the lives of citizens by transforming how government services are delivered. You'll be working on challenging and impactful projects that move the needle on traditionally difficult-to-automate processes.
Responsibilities
- Utilize and adapt foundation models, particularly in vision and data extraction, as the core building blocks for developing impactful products aimed at improving government service delivery. This includes prompt engineering, fine-tuning, and evaluating model performance
- Architect, build, and deploy intelligent AI agent-driven workflows that automate and optimize key processes within government service delivery. This encompasses the full lifecycle from conceptualization and design to implementation and monitoring
- Contribute directly to enhancing our model evaluation and monitoring methodologies to ensure robust and reliable system performance. Proactively identify areas for improvement and implement solutions to optimize model accuracy and efficiency
- Continuously learn and adapt to the rapidly evolving landscape of AI and foundation models, exploring new techniques and technologies to enhance our capabilities and solutions
Who you are
You are a passionate and results-oriented engineer who is driven by the potential of AI/ML to revolutionize processes, enhance products, and ultimately improve user experiences. You thrive in dynamic environments and are comfortable navigating ambiguity. You possess a strong sense of ownership and are eager to take initiative, advocating for your technical decisions while remaining open to feedback and collaboration.
You are adept at working with real-world, often imperfect data, and have a proven ability to develop, refine, and deploy AI/ML models into production in a cost-effective and scalable manner. You are excited by the prospect of directly impacting government services and making a positive difference in the lives of citizens
Skills & Requirements
- 3+ years of experience in programming languages such as Python or Scala
- Proficient knowledge of cloud platforms (e.g., AWS, Azure, GCP) and containerization, DevOps (Docker, Kubernetes)
- Tuning and deploying foundation models, particularly for vision tasks and data extraction
- Excellent analytical and problem-solving skills with the ability to break down complex challenges into actionable steps
- Strong written and verbal communication skills, with the ability to effectively articulate technical concepts to both technical and non-technical audiences
Working at Moative
Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.
Here are some of our guiding principles:
- Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
- Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
- Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
- Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
- High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.
If this role and our work is of interest to you, please apply. We encourage you to apply even if you believe you do not meet all the requirements listed above.
That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers.
The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.
Key Responsibilities:
- Design, develop, and maintain scalable applications using Python and TypeScript.
- Work with cutting-edge tech, building solutions using Large Language Models.
- Architect and optimise cloud infra for efficiency, security, and scalability (AWS, Azure, or GCP).
- Integrate and deploy APIs, databases, and front-end interfaces seamlessly.
- Lead code reviews to uphold coding standards and mentor junior developers.
Required Skills and Qualifications:
- 8+ years in software development with expertise in Python and TypeScript.
- Exposure to building or integrating solutions using LLMs.
- Proven ability to lead teams or projects, ensuring high quality outcomes.
- Proficiency in managing cloud environments (AWS, Azure, or GCP).
- Hands-on experience with CI/CD pipelines, containerisation and Infrastructure-as-Code.
- Strong skills in SQL/NoSQL databases and performance tuning.
- Exceptional analytical and debugging skills.
Nice to Have:
- Experience with vector databases (e.g. Weaviate or Milvus) for semantic search or embedding storage.
- Familiarity with Gen AI frameworks and tools (e.g., LangChain, LlamaIndex).
- Familiarity with frontend frameworks (Next.js or Angular).
- Active contributions to open-source projects or a strong GitHub portfolio.
What We Offer:
- Opportunity to work with the latest in Generative AI.
- Competitive salary and comprehensive benefits.
- A forward-thinking, collaborative environment.
- Flexibility in work policies to foster a healthy work-life balance.
| Experience:3-8 years Location: Chennai Requirements: 1) Technical expertise in Apache , PHP , Jquery , Javascripts and hands on in managing web based applications. 2) Should have worked in Vtiger Framework concepts. 3) Demonstrates effective oral and written communication skills. 4) Should be Analytical and methodical. 5) Handling Team on min 2 and experience in Development ,Testing and production support. 6) Worked on Linux Server and Apache web service |
Requirements:
- Bachelor’s degree in computer science, computer engineering or similar.
- Previous work experience as an AngularJS developer.
- Proficient in CSS, HTML, and writing cross-browser compatible code.
- Experience using JavaScript building tools like Gulp or Grunt.
- Knowledge of JavaScript MV-VM/MVC frameworks including AngluarJS.
- Technical lead skills. Can handle a team or independent technical delivery
- Proven experience implementing front-end and back-end JavaScript applications.
- Excellent communication skills.
- Critical thinker and good problem-solver.
Job Location: Chennai
Job Summary
The Engineering team is seeking a Data Architect. As a Data Architect, you will drive a
Data Architecture strategy across various Data Lake platforms. You will help develop
reference architecture and roadmaps to build highly available, scalable and distributed
data platforms using cloud based solutions to process high volume, high velocity and
wide variety of structured and unstructured data. This role is also responsible for driving
innovation, prototyping, and recommending solutions. Above all, you will influence how
users interact with Conde Nast’s industry-leading journalism.
Primary Responsibilities
Data Architect is responsible for
• Demonstrated technology and personal leadership experience in architecting,
designing, and building highly scalable solutions and products.
• Enterprise scale expertise in data management best practices such as data integration,
data security, data warehousing, metadata management and data quality.
• Extensive knowledge and experience in architecting modern data integration
frameworks, highly scalable distributed systems using open source and emerging data
architecture designs/patterns.
• Experience building external cloud (e.g. GCP, AWS) data applications and capabilities is
highly desirable.
• Expert ability to evaluate, prototype and recommend data solutions and vendor
technologies and platforms.
• Proven experience in relational, NoSQL, ELT/ETL technologies and in-memory
databases.
• Experience with DevOps, Continuous Integration and Continuous Delivery technologies
is desirable.
• This role requires 15+ years of data solution architecture, design and development
delivery experience.
• Solid experience in Agile methodologies (Kanban and SCRUM)
Required Skills
• Very Strong Experience in building Large Scale High Performance Data Platforms.
• Passionate about technology and delivering solutions for difficult and intricate
problems. Current on Relational Databases and No sql databases on cloud.
• Proven leadership skills, demonstrated ability to mentor, influence and partner with
cross teams to deliver scalable robust solutions..
• Mastery of relational database, NoSQL, ETL (such as Informatica, Datastage etc) /ELT
and data integration technologies.
• Experience in any one of Object Oriented Programming (Java, Scala, Python) and
Spark.
• Creative view of markets and technologies combined with a passion to create the
future.
• Knowledge on cloud based Distributed/Hybrid data-warehousing solutions and Data
Lake knowledge is mandate.
• Good understanding of emerging technologies and its applications.
• Understanding of code versioning tools such as GitHub, SVN, CVS etc.
• Understanding of Hadoop Architecture and Hive SQL
• Knowledge in any one of the workflow orchestration
• Understanding of Agile framework and delivery
•
Preferred Skills:
● Experience in AWS and EMR would be a plus
● Exposure in Workflow Orchestration like Airflow is a plus
● Exposure in any one of the NoSQL database would be a plus
● Experience in Databricks along with PySpark/Spark SQL would be a plus
● Experience with the Digital Media and Publishing domain would be a
plus
● Understanding of Digital web events, ad streams, context models
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right
move to invest heavily in understanding this data and formed a whole new Data team
entirely dedicated to data processing, engineering, analytics, and visualization. This team
helps drive engagement, fuel process innovation, further content enrichment, and increase
market revenue. The Data team aimed to create a company culture where data was the
common language and facilitate an environment where insights shared in real-time could
improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The
team at Condé Nast Chennai works extensively with data to amplify its brands' digital
capabilities and boost online revenue. We are broadly divided into four groups, Data
Intelligence, Data Engineering, Data Science, and Operations (including Product and
Marketing Ops, Client Services) along with Data Strategy and monetization. The teams built
capabilities and products to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are
Condé Nast, and It Starts Here.



