Tips:#indiajobs #engineeringjobs #engineeringmanager #tunnelengineering #tunneljobs #constructionjobsindia #hiring #vacanciesPosition Title                        : Engineering Manager     Tunnel Design Experience                           : 10 + years Education                              : Bachelor's degree in Civil Engineering, Geotechnical Engineering, or related field and Master's degree in rock mechanics or tunnel engineering preferred.Work location                       : Head Quarters, ChennaiOverview:We are seeking a talented Tunnel Design Engineer with a minimum of 10 years of experience, specializing in geotechnical engineering with a strong understanding of structural principles. The successful candidate will play a key role in the design and development of tunnelling projects, ensuring the integrity, safety, and functionality of underground structures. This position offers an exciting opportunity to contribute to innovative tunnelling solutions and infrastructure development. Responsibilities:1. Carry out the design and analysis of tunnelling projects, including underground structures, caverns, and associated facilities.2. Conduct geotechnical investigations and analyses 3. Develop detailed engineering designs, drawings, and specifications for tunnel alignments, cross-sections, support systems, and lining structures.4. Utilize advanced engineering software and modelling tools for geotechnical and structural analysis, including finite element analysis (FEA) and numerical modelling.5. Collaborate with multidisciplinary teams6. Perform risk assessments and mitigation strategies related to geotechnical hazards, ground stability, and geological uncertainties in tunnelling projects.8. Coordinate with regulatory authorities and stakeholders to obtain necessary approvals and permits for tunnelling projects, ensuring compliance with relevant codes and standards.9. Conduct field visits and site inspections to monitor construction progress, assess site conditions, and address any design-related issues or modifications. Qualifications:1. Bachelor's degree in Civil Engineering, Geotechnical Engineering, or related field and Master's degree in rock mechanics or tunnel engineering preferred.2. Minimum of 10 years of experience in tunnel engineering, with a focus on geotechnical design and analysis. Tunnels in urban setting is preferred (Road/Rail/Sewage etc)3. Strong understanding in geotechnical engineering principles, including soil mechanics, rock mechanics, and ground improvement techniques.4. Proficiency in structural engineering concepts and analysis, with experience in designing tunnel support systems, linings, and underground structures.5. Solid understanding of engineering software such as PLAXIS, FLAC, MIDAS GTS, SAP2000, or similar tools for geotechnical and structural analysis. Apply with cv stating current and expected salary and time needed to join to:connect@mind-stream.net

Centific is a Seattle-based tech company pioneering the future of AI one breakthrough at a time. Learn how we’re transforming the world through safe and scalable AI and empowering businesses to unlock the full potential of their data. SRE CORE Manager/Lead/DirectorKey Responsibilities:Strategic Leadership & Vision:· Lead and manage the Software Release Management function for all Data and AI products.· Establish a centralized release management framework for AI and data products that scales with the growing product portfolio.· Form and lead a high-performing Site Reliability Engineering (SRE) team to ensure the operational stability and performance of all AI and data-driven applications post-release.· Collaborate with Product, Engineering and Operations teams to align release and SRE strategies with business objectives. Release Planning & Coordination:· Oversee the full lifecycle of software and AI model releases, from planning and coordination to post-release evaluation.· Develop and maintain a detailed release calendar that aligns with the timelines and priorities of various product teams.· Coordinate release activities with multiple cross-functional teams, ensuring transparent communication of dependencies, risks, and milestones.· Ensure that all releases are integrated seamlessly into production, minimizing downtime and disruptions to end users. Site Reliability Engineering (SRE) Team Formation:· Hire, build, and lead the SRE team responsible for maintaining the reliability, scalability, and performance of all Data and AI products in production.· Define the roles and responsibilities of the SRE team, ensuring clear alignment with the goals of product engineering and release management.· Develop and implement SRE best practices, including incident response, root cause analysis, and proactive performance monitoring.· Establish SLAs, SLOs, and SLIs (Service Level Agreements/Objectives/Indicators) to track and measure the reliability and performance of all services post-release.· Collaborate with DevOps to ensure that automated CI/CD pipelines integrate seamlessly with SRE processes and monitoring systems. Process Optimization & Automation:· Lead the automation of software release processes, with an emphasis on CI/CD pipelines for AI models, data pipelines, and cloud-based AI products.· Develop infrastructure-as-code practices to improve the scalability and reliability of AI and data systems across production environments.· Introduce tools for version control, model governance, and monitoring for MLOps and AI model management in production.· Continuously improve operational procedures to reduce the number of incidents and optimize recovery time. Risk & Quality Management:· Implement comprehensive quality assurance and validation processes to ensure that all AI models, data products, and software releases meet security, performance, and compliance requirements.· Proactively identify and mitigate risks related to releases, AI model performance, and operational stability in production.· Conduct post-release reviews and retrospectives to continuously improve both the release process and the reliability of products. Collaboration & Stakeholder Management:· Serve as the central point of contact for release management and SRE-related matters, ensuring consistent communication between engineering, product teams, and key stakeholders.· Facilitate cross-functional collaboration to ensure that releases and operational reliability goals are met efficiently and effectively.· Provide regular updates on release progress, system reliability, and any potential risks to executives and product leadership. Innovation & Continuous Improvement:· Stay up to date with the latest trends in SRE, DevOps, AI/ML, and cloud operations, incorporating new tools and practices to improve the overall reliability and release processes.· Drive the adoption of cutting-edge tools in MLOps, AI model deployment, and automated incident resolution to continuously optimize operations and model lifecycle management.· Foster a culture of continuous improvement by encouraging feedback loops and metrics-driven decision-making across both the release management and SRE teams.---Qualifications:· Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI/ML, or a related field.· 10+ years of experience in software release management, with at least 3-5 years in SRE or DevOps environments, preferably in AI or data-driven applications.· Proven experience building and managing both release management and SRE teams in complex, multi-product environments.· Strong knowledge of AI/ML operations (MLOps), data pipeline management, and cloud-based AI product deployments.· Expertise in release management tools (Jenkins, GitLab, Git, Jira) and SRE tools such as Prometheus, Grafana, Datadog, or similar monitoring systems.· Experience with cloud platforms (AWS, GCP, Azure), containerization (Kubernetes, Docker), and infrastructure automation tools (Terraform, Ansible).· Excellent problem-solving, organizational, and leadership skills, with a strong track record of driving continuous improvement in both release and operational reliability processes.Preferred Qualifications:· Experience deploying and maintaining large-scale AI/ML models in production environments, including monitoring, retraining, and operationalization.· Familiarity with ITIL, MLOps, or DevOps frameworks and best practices.· Knowledge of cloud-based services and tools specifically designed for AI/ML (e.g., AWS SageMaker, TensorFlow, PyTorch).· Demonstrated ability to manage incident response and root cause analysis in complex software ecosystems.

Role: Engineering Manager – Cab SystemsExperience: 14 - 20 YearsJob Location: Chennai Responsibilities: <ul><li>Manages engineering for design and development of technologies, components, systems, products and services.</li><li>Hands on experience in Cab and its sub systems - design, selection and development. </li><li>Managing staffing, development, and performance management for engineering teams; motivating and developing project and team members. </li><li>Providing specialized engineering technical support and consulting services to Cab Systems and its components for New Product Introduction and Improving Current Product Quality. </li><li>Managing high-impact, short and long duration engineering initiatives and projects; ensuring achievement of engineering plan and product quality.</li><li>Maintaining product release plans and material plans; driving programs to completion on time and within budget. </li><li> Knowledge of effective planning techniques and ability to contribute to operational, tactical and strategic planning in support of the overall business plan</li><li>Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviours’</li><li>Understanding of the importance of remaining aware of shifting market priorities and ability to respond to internal and external customer needs in a manner that consistently adds value</li><li>Knowledge of effective collaboration techniques and ability to build networks with people from different countries and cultures, think and work with them to bring positive impact and flourishing business results</li><li>Knowledge of processes involved in managing people; ability to lead successful teams, and diligently address issues related to performance and conflicts at the workplace.</li></ul> Qualification: <ul><li>A Master’s / Bachelor’s degree in Mechanical engineering or Material Science. </li><li>6 Sigma Black Belt Certified.</li></ul> Regards,BalaBala@cssrecruit.com

Are you passionate about technology and love building a high-performing engineering team to enable Trimble’s digital transformation journey? Then come and join us. We are looking for a trustworthy, proactive, and inspiring engineering leader to build Trimble’s next-generation end-customer and partner solutions using some of the latest technologies on the market. What will you be doing? You’ll be leading a cross-functional, cloud software engineering team comprising of software engineers with varied skills using your technical and leadership skills. You will be working with fellow Engineering Managers in other regions to build and enhance our buy-resell partner and end-customer solutions using some of the latest technologies. Responsibilities:<ul><li>Work closely with the Product management team and ensure alignment of business objectives.</li><li>Provide technical guidance throughout the product life cycle including design, implementation and delivery phases.</li><li>Oversee activities of direct reports (i.e., hiring, coaching, developing, appraising, rewarding, and motivating) to achieve goals through innovation, quality, and excellence</li><li>Collaborate with internal and external stakeholders to enable successful integration and adoption.</li><li>Provide clear and concise expectations to engineering teams and stakeholders</li><li>Stay abreast of tools, technologies and industry developments relevant to the work of the teams.</li><li>Partners with peers in Engineering Management in achieving the goals outlined in the overall strategy and roadmaps</li><li>Deliver high-quality features, seek continuous improvement and enable rapid execution of the roadmap</li><li>Be accountable for the overall delivery of the project by proactively de-risking challenges</li></ul> What skills & experience you will bring? To be successful in this position, you should have exceptional foresight, a solid engineering background, good leadership skills, and be pragmatic in your day-to-day operations. You will have the knack for handling complexity with ease through matured decision-making and thoughtful leadership. Ideally, you will have proof of your supervisory and engineering skills and an appreciation for building high-quality teams through trust, ownership, and empowerment. Qualifications:<ul><li>Academic background - Bachelor's / Master’s degree in Computer Science, related technical discipline or equivalent practical experience.</li><li>Foundational Software skills - Should have started as a programmer and grown into technical management roles with at least 3 years of hands-on technical management with a minimum industry experience of 10-12 years.</li><li>Core technical skills - Experience in building products with frontend technologies such as react/angular, graphql, and backend technologies .NET/C#, hosted on Azure/AWS is highly desirable.</li><li>Other Software skills - Experience building cloud native SaaS applications, well-versed in API ecosystem, have high value for engineering best practices, software quality, continuous development and DevOps principles.</li><li>Project management - Experience in Agile project management from planning to execution.</li><li>Communication - Exposure to working with cross cultural and globally distributed teams, ensure transparency and set stakeholder expectations through clear and concise communication.</li><li>Organizational skills - Should be comfortable navigating through uncertainties and guide the teams effectively, be purpose driven and a collaborative personality altogether.</li><li>Career planning - Should take pride in setting up the engineers for success through proper guidance and career planning activities.</li><li>Leadership skills - Should possess high leadership qualities (around trust, transparency and empathy) to build a highly successful and quality team.</li></ul>

About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. TaskUs People First culture has grown the company to have approximately 45K employees worldwide. We are currently in twenty-three locations across twelve countries, including the Philippines, India, and the United States. It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment’s notice, and mastering consistency in an ever-changing world. What We Offer: TaskUs provides world-class benefit packages with competitive industry salaries to all its employees. With well-developed departments, such as Total Rewards, Wellness, HR, and Diversity, we continuously thrive in supporting a People First culture. We are known for our inclusiveness and community impact. We also promote internal mobility and professional development at every step of an employee's career within TaskUs. Come be part of TaskUs that supports People First by applying today! What can you expect in a AI ML Engineering Manager role with TaskUs: The AI ML Engineering Manager will lead our team in developing cutting-edge Gen AI and ML solutions using Python, GPT Models, AWS Lex, OpenAI, AWS, OpenCV and other technologies. The ideal candidate will be responsible for overseeing the design, development, and deployment of AI/ML models and systems, as well as managing and mentoring a team of AI/ML Engineers. The successful candidate will have a strong background in AI/ML engineering, programming, and project management. Key Responsibilities:<ul><li>Strong programming skills: AI and ML engineers need to have a strong foundation in programming languages such as Python, Java, and C++.</li><li>Knowledge of statistics and probability: AI and ML engineers should have a solid understanding of statistics and probability theory to build and optimize algorithms.</li><li>Familiarity with machine learning algorithms: AI and ML engineers should have a deep understanding of various machine learning algorithms such as linear regression, logistic regression, decision trees, random forests, and neural networks. </li><li>Experience with deep learning frameworks: AI and ML engineers should be proficient in using popular deep learning frameworks such as TensorFlow, Keras, and PyTorch. </li><li>Data modeling and evaluation skills: AI and ML engineers should be skilled in data modeling and evaluation, including data pre-processing, feature engineering, and model selection. </li><li>Knowledge of cloud computing platforms: AI and ML engineers should have a strong understanding of cloud computing platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform. </li><li>Ability to work with big data: AI and ML engineers should be familiar with big data technologies such as Apache Hadoop, Spark, and NoSQL databases.</li><li>Strong problem-solving skills: AI and ML engineers need to be skilled at identifying problems, breaking them down into smaller components, and developing solutions.</li><li>Excellent communication and collaboration skills: AI and ML engineers need to be effective communicators and able to collaborate effectively with cross-functional teams.</li><li>Continuous learning and curiosity: AI and ML engineers need to be constantly learning and keeping up with the latest advancements in AI and ML to stay competitive in the field.</li></ul> Required Qualifications:<ul><li>With 3-5 years of experience in AI/ML engineering, with a track record of designing and deploying successful AI/ML models and systems.</li><li>At least 1 year of experience in people/team management.</li><li>Strong programming skills in Python, with experience using Python, AWS, PyTorch, OpenCV and other existing and emerging AI/ML technologies (OpenAI, GPT etc..).</li><li>Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.</li><li>Strong analytical and problem-solving skills, with the ability to think creatively and outside the box.</li><li>Experience working in an Agile development environment is a must.</li><li>Can start ASAP or within 30 days.</li></ul> Education / Certifications:<ul><li>Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.</li><li>Master's degree in a relevant field.</li></ul> Work Location / Work Schedule / Travel:<ul><li>TaskUs Chennai office only</li><li>Mid Shift Schedule</li><li>100% onsite work setup</li></ul> How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know. We invite you to explore all TaskUs career opportunities and apply through the provided URL <a>https://www.taskus.com/careers/</a>.

Engineering Manager (10 to 12 yrs)Chennai, Tamil Nadu, IndiaWho are we?​Crayon Data is a leading provider of AI-led revenue acceleration solutions, headquartered in Singapore with a local presence in India and the UAE. The company was founded in 2012 with the vision of simplifying the world’s choices. Our flagship platform, maya.ai, helps enterprises across the Banking, Fintech, and Travel industries create and capture sustainable revenue streams by unlocking the value of data. maya.ai's capability is driven by four “as a Service” components - Data, Recommendation, Customer Experience, and Marketplace - that work individually and together to create tangible results. Crayon Data recently won the E50 awards organized by KPMG and the Business Times in Singapore. Crayon was featured in HFS Hot Vendors Compendium in 2021. They were also among the top 15 finalists at Emerging Enterprise Awards 2019, Singapore.​Can you say “Yes, I have!” to the following? · Good knowledge of Data Structures and Algorithms with excellent analytical and problem-solving skills.· Sound knowledge of web-related technologies such as HTTP, REST APIs, Authentication Mechanisms, Security, etc.· Experience building highly scalable cloud native backend systems using Java/.NET/NodeJs or any other equivalent systems· Lead complex initiatives with long-term, strategic value· Owned capacity and growth of technical systems across multiple domains, defining key metrics· Strong communication skills and can simplify technical concepts to explain them to non-technical partners Can you say “Yes, I will!” to the following? · Have a strong sense of ownership and passion for building scalable, flexible, secured and easy to maintain platforms· Stay up to date with emerging technology trends and ability to choose the best.· Make the right design decisions related to product features and technology choices.· Cultivate the ability to take calculated risk.· Drive multiple projects and deliver them on time with high quality.· Have a passion for building a strong engineering culture, operational excellence innovation Brownie points for:· Experience working with highly secure and scalable products on FSI sector· Knowledge on Machine Learning systems and product ionizing models· Alignment with The Crayon Box of Values -- because skills can be acquired, but values cannot! Crayon is an equal opportunity employer. Employment is based on a person's merit and qualifications and professional competences. Crayon does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, marital status, pregnancy or related.​Be wary of social media messages offering jobs with Crayon Data. In the interest of the public, we advise that candidates should ignore and not fall trap to communication -verbal, written or otherwise – asking for money or benefits of any kind, instead of employment with Crayon. If in doubt, reach out to our TA Team at joinus@crayondata.com . Click here for more details.

Engineering Manager Jobs in Chennai, Tamil Nadu

Sr Engineering Manager Metro Tunnel
November 18, 2024

Site Reliability Engineering Manager
November 15, 2024

Engineering Manager Cab Systems
November 10, 2024

Technical Engineering Manager
November 9, 2024

Aiml Engineering Manager
November 7, 2024

Engineering Manager
October 27, 2024

Quick filters

Top companies

Engineering Manager Jobs in Chennai, Tamil Nadu

Sr Engineering Manager Metro TunnelNovember 18, 2024

Site Reliability Engineering ManagerNovember 15, 2024

Engineering Manager Cab SystemsNovember 10, 2024

Technical Engineering ManagerNovember 9, 2024

Aiml Engineering ManagerNovember 7, 2024

Engineering ManagerOctober 27, 2024