11+ SERDES Jobs in Chennai | SERDES Job openings in Chennai
Apply to 11+ SERDES Jobs in Chennai on CutShort.io. Explore the latest SERDES Job opportunities across top companies like Google, Amazon & Adobe.
alog Circuit Design::
- The candidate should have B.Tech or M.Tech in Electronics/Electrical/VLSI Design Engineering
- The candidate should have relevant work experience of 7-16 years in Analog and SERDES IO IP design e.g. GPIOs, Thermal Sensor, PLL, ADC/DAC/ Voltage regulators/LDOs, AIB, HBMIO, DDR, HDMI/DP IO, MIPI IO etc.
We are seeking a detail-oriented and innovative Chemical Engineer. The ideal candidate will be responsible for designing, developing, and optimizing processes for manufacturing, ensuring safety, quality, sustainability, and efficiency. This role requires strong problem-solving skills and the ability to work in cross-functional teams to improve production systems.
Key Responsibilities:
- Design, develop, and implement chemical processes for production.
- Monitor and optimize plant operations to improve yield, reduce costs, and minimize waste.
- Ensure compliance with health, safety, and environmental regulations.
- Conduct research and feasibility studies to develop new products and processes.
- Collaborate with R&D, production, and quality teams to improve efficiency.
- Troubleshoot technical issues in manufacturing and propose solutions.
- Prepare and maintain technical documentation, reports, and SOPs.
- Implement best practices for sustainability and energy efficiency.
Qualifications & Skills:
- Bachelor’s or Master’s degree in Chemical Engineering (or related field).
- Strong knowledge of chemical processes, thermodynamics, fluid mechanics, and reaction engineering.
- Experience with process simulation tools (e.g., Aspen Plus, HYSYS, MATLAB) is an advantage.
- Good analytical, mathematical, and problem-solving skills.
- Strong communication and teamwork abilities.
- Knowledge of safety standards and environmental regulations.
We are looking for a passionate and experienced Java Developer with over 4 years of hands-on experience in building robust and scalable backend systems using Java, Spring Boot, and Microservices architecture.
Key Responsibilities:
- Design, develop, test, and deploy high-performance, scalable, and secure backend services using Java 8+, Spring Boot, and Microservices.
- Participate in the entire software development lifecycle (SDLC), from requirements gathering to production deployment and support.
- Collaborate with frontend developers, DevOps engineers, and product owners to deliver end-to-end features.
- Optimize application performance and ensure high availability and responsiveness.
- Write clean, maintainable, and reusable code while following best practices (coding standards, unit testing, CI/CD, etc.).
- Develop RESTful APIs and ensure their quality and consistency.
- Handle integration with external systems and third-party services.
- Participate in code reviews, provide constructive feedback, and mentor junior developers.
Technical Skills Required:
- Languages: Java 8 or above
- Frameworks: Spring Boot, Spring MVC, Spring Security
- Architecture: Microservices architecture and design patterns
- Databases: MySQL/PostgreSQL, MongoDB (optional)
- Messaging: Kafka, RabbitMQ (optional)
- API Development: RESTful APIs, Swagger/OpenAPI
- Version Control: Git, GitHub/GitLab
- Tools: Maven/Gradle, Jenkins, Docker
- Testing: JUnit, Mockito
- Cloud (optional): AWS/Azure/GCP exposure
- CI/CD & DevOps tools (optional): Jenkins, Docker, Kubernetes
Nice to Have:
- Experience in containerization and orchestration (Docker, Kubernetes).
- Knowledge of API Gateway, Service Registry (e.g., Eureka), and Circuit Breakers (e.g., Hystrix or Resilience4j).
- Experience with Agile methodologies (Scrum/Kanban).
- Familiarity with monitoring and logging tools (ELK, Prometheus, Grafana, etc.).
Our Client, is a leading manufacturer of high-quality stainless-steel kitchenware, sheet metal products, and industrial components. With a strong legacy of innovation and manufacturing excellence, we cater to both domestic and global markets.
We are looking for a competent and detail-driven Costing Engineer Mechanical Engineer with 3+ years of experience in the manufacturing industry preferably sheet metal. The role focuses on accurate costing of components and assemblies made from stainless steel and other materials, ensuring competitive pricing and cost control.
Key Responsibilities:
- Analyze engineering drawings and specifications to prepare detailed cost estimates for sheet metal parts and assemblies.
- Evaluate raw materials, laser cutting, bending, welding, powder coating, and assembly, punching, deep drawing, TIG welding, buffing/polishing costs.
- Collaborate closely with production, procurement/purchase and design teams for costing inputs and feasibility analysis.
- Analyse cost variances and suggest cost optimization strategies.
- Coordinate with suppliers and vendors for material pricing and rate negotiations.
- Support the sales team by providing costing details for RFQs and pricing decisions. Maintain and update costing records using ERP tools.
- Assist in budgeting and pricing strategies for new and existing products.
Qualifications and Skills:
- B.E./B.Tech in Mechanical Engineering or equivalent.
- Minimum 3 years of experience in costing within the sheet metal/stainless steel manufacturing domain.
- Strong understanding of manufacturing processes and shop floor operations.
- Experience with costing software and MS Excel
- Ability to interpret engineering drawings and BOMs.
- Strong analytical, documentation, and coordination skills.
- Positive attitude and commitment to continuous improvement.
- Proficient in reading and interpreting technical drawings (AutoCAD/SolidWorks).
- Knowledge of fabrication processes shearing, punching, bending, welding, powder coating.
- Good negotiation and vendor management skills.
Greetings!!!!
We are looking for a data engineer for one of our premium clients for their Chennai and Tirunelveli location
Required Education/Experience
● Bachelor’s degree in computer Science or related field
● 5-7 years’ experience in the following:
● Snowflake, Databricks management,
● Python and AWS Lambda
● Scala and/or Java
● Data integration service, SQL and Extract Transform Load (ELT)
● Azure or AWS for development and deployment
● Jira or similar tool during SDLC
● Experience managing codebase using Code repository in Git/GitHub or Bitbucket
● Experience working with a data warehouse.
● Familiarity with structured and semi-structured data formats including JSON, Avro, ORC, Parquet, or XML
● Exposure to working in an agile work environment
Job Summary
Condé Nast is seeking an experienced and highly motivated Software engineer-ML who will support
productionizing projects in a databricks environment for the data science team. We expect the person
to be a software/data engineer experienced in building robust ML systems & deploying ML pipelines
in production, Study and transform data science prototypes into an engineering product and is
knowledgeable about machine learning models.
**This role is NOT for building Machine Learning models **
Primary Responsibilities
● Operationalize ML models into production environment(s) by building data
pipelines ● Designing and developing Machine Learning Systems
● Keep abreast of developments in the field
● Come up with engineering ideas to resolve problems faced with respect to ML pipeline ●
Design and code highly scalable, machine learning frameworks processing large volumes of data
● Engineer a near-real-time system that can process massive amounts of data efficiently ●
Collaborate with other Machine Learning Engineers and Data Scientists in architecting &
engineering the solution
● Participate in the entire development lifecycle, from concept to release
● Participate in all phases of quality assurance and defect resolution
Desired Skills & Qualifications
● 5+ years software development experience with highly scalable systems involving
machine learning and big data
● Understanding of data structures, data modeling and software architecture
● Strong software development skills with proficiency in Python/Pyspark
● Experience with Big Data technologies such as Spark, Hadoop
● Familiarity with machine learning frameworks and libraries would be a good-to-have
skill ● Excellent communication skills
● Ability to work in a team
● Outstanding analytical and problem-solving skills
● Applicants should have a Undergraduate/Postgraduate degree in Computer Science or a
related discipline
About Condé Nast
CONDÉ NAST GLOBAL
Condé Nast is a global media house with over a century of distinguished publishing history. With a
portfolio of iconic brands like Vogue, GQ, Vanity Fair, The New Yorker and Bon Appétit, we at Condé Nast
aim to tell powerful, compelling stories of communities, culture and the contemporary world. Our
operations are headquartered in New York and London, with colleagues and collaborators in 32 markets
across the world, including France, Germany, India, China, Japan, Spain, Italy, Russia, Mexico, and Latin
America.
Condé Nast has been raising the industry standards and setting records for excellence in the publishing
space. Today, our brands reach over 1 billion people in print, online, video, and social media.
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.
• Responsible for designing, deploying, and maintaining analytics environment that processes data at scale
• Contribute design, configuration, deployment, and documentation for components that manage data ingestion, real time streaming, batch processing, data extraction, transformation, enrichment, and loading of data into a variety of cloud data platforms, including AWS and Microsoft Azure
• Identify gaps and improve the existing platform to improve quality, robustness, maintainability, and speed
• Evaluate new and upcoming big data solutions and make recommendations for adoption to extend our platform to meet advanced analytics use cases, such as predictive modeling and recommendation engines
• Data Modelling , Data Warehousing on Cloud Scale using Cloud native solutions.
• Perform development, QA, and dev-ops roles as needed to ensure total end to end responsibility of solutions
COMPETENCIES
• Experience building, maintaining, and improving Data Models / Processing Pipeline / routing in large scale environments
• Fluency in common query languages, API development, data transformation, and integration of data streams
• Strong experience with large dataset platforms such as (e.g. Amazon EMR, Amazon Redshift, AWS Lambda & Fargate, Amazon Athena, Azure SQL Database, Azure Database for PostgreSQL, Azure Cosmos DB , Data Bricks)
• Fluency in multiple programming languages, such as Python, Shell Scripting, SQL, Java, or similar languages and tools appropriate for large scale data processing.
• Experience with acquiring data from varied sources such as: API, data queues, flat-file, remote databases
• Understanding of traditional Data Warehouse components (e.g. ETL, Business Intelligence Tools)
• Creativity to go beyond current tools to deliver the best solution to the problem
Tiger Analytics is a global AI & analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modeled around expertise and mutual respect with a team first mindset. Working at Tiger, you’ll be at the heart of this AI revolution. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.
We are headquartered in the Silicon Valley and have our delivery centres across the globe. The below role is for our Chennai or Bangalore office, or you can choose to work remotely.
About the Role:
As an Associate Director - Data Science at Tiger Analytics, you will lead data science aspects of endto-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
• Work closely with internal teams and client stakeholders to design analytical approaches to
solve business problems
• Develop and enhance a broad range of cutting-edge data analytics and machine learning
problems across a variety of industries.
• Work on various aspects of the ML ecosystem – model building, ML pipelines, logging &
versioning, documentation, scaling, deployment, monitoring and maintenance etc.
• Lead a team of data scientists and engineers to embed AI and analytics into the client
business decision processes.
Desired Skills:
• High level of proficiency in a structured programming language, e.g. Python, R.
• Experience designing data science solutions to business problems
• Deep understanding of ML algorithms for common use cases in both structured and
unstructured data ecosystems.
• Comfortable with large scale data processing and distributed computing
• Excellent written and verbal communication skills
• 10+ years exp of which 8 years of relevant data science experience including hands-on
programming.
Designation will be commensurate with expertise/experience. Compensation packages among the best in the industry.
Handle Telephonic calls from clients
Handle queries related to product or service fom the clients



