9 Linear Jobs

Exp: 4-8 yrs Must Have Skills: MLOps Fundamentals: CI/CD/CT Pipelines of ML with Azure Demo, Snowflake, Modeling Fundamentals & Linear Regression, ML Flow Budget 25 LPA Location: Remote (Permanent Work from home) PFB Details: Mode : Remote Job timings : General shift Total interview rounds : 2 Technical round, 1 client round Job description: ML engineer. Ability and experience to deploy models on Snowflake; More experience in handling the machine learning pipelines & ML engineering e.g. managing ML pipeline ML pipeline and DevOps experienced candidate is more relevant for the client Focus on usage of MLflow to monitor performance of models Some data engineering exposure is important as this person will work as a bridge between MPG's internal Data engineering team and ML team DE skill: Experience in Snowflake data platform and infrastructure/ Snow-park should be known Data Science theoretical or DS. Primary Skill- Modeling Fundamentals & Linear Regression, Snowflake, MLOps Fundamentals: CI/CD/CT Pipelines of ML with Azure Demo, ML Flow Secondary Skill- Stanford NER / Core NLP intrested share resume at talent.acquisition@iqanalytic.com

As a Product Lead at Helixo, you will be part of a dynamic and ambitious team striving to create next-gen Shopify apps for cutting-edge ecommerce brands. Our mission is to build an ecosystem of AI-first apps that revolutionize the ecommerce industry, aiming for a $1 billion impact within the next 3 years. Your role will be pivotal in the success of our flagship app, MUGA (Make UFE Great Again), as we aim to reclaim the top spot on the Shopify App Store. We are seeking a Product Lead who thinks like a founder, owns like a CPO, and executes like a startup operator. Your responsibilities will include taking ownership of the product direction and delivery, from roadmap planning to execution. You will collaborate closely with developers, support teams, and senior management to ensure alignment and timely delivery of features. To excel in this role, you must have at least 3 years of experience in Product Management, Founder, or Tech/Product hybrid roles. Previous experience in shipping features in a B2B SaaS or Shopify app environment is essential. Strong communication skills, a deep understanding of UX, and the ability to prioritize features effectively are key requirements. In addition to offering high freedom and full product ownership, Helixo provides you with the opportunity to work in a founder-led team with a focus on long-term growth. You will play a crucial role in a product-led organization, with the chance to achieve financial and time freedom through your contributions. We are not looking for individuals who require repeated follow-ups, lack a proactive mindset, or shy away from accountability. Clear thinkers with an ownership mindset and a passion for building disruptive products will thrive in our fast-paced environment. If you are excited by the prospect of being at the forefront of innovation, taking on challenges with clarity and ownership, and contributing to a high-impact rocketship, we encourage you to apply by sending your resume and a 2-3 minute Loom video detailing your interest in the role. Tell us why you stand out, share a product you are proud of, and explain how you would build a high-performing team. Join us on this exhilarating journey towards reshaping the ecommerce landscape and making a $1 billion impact. Email your application to join@helixo.co with the subject line: "I'm your Product Lead for $1B impact // [Your Name]". Seize the opportunity to be part of the Helixo team and propel your career to new heights!,

As a Simulation Engineer specializing in Powertrain Durability at TVS Motor Company, you will be responsible for independently managing the delivery of powertrain durability simulations for 2-wheelers. In this role, you will collaborate with design leads to comprehend project scopes, allocate resources, prioritize work, and ensure timely project completion. Your expertise in various engineering fundamentals such as Strength of Materials, Applied Mechanics, Finite Element Methods, Powertrain Simulations, and Fatigue will be crucial in this position. You should possess proficiency in conducting Linear and Non-linear static analyses, Modal, Harmonic, and PSD response simulations of components and assemblies. Your responsibilities will also include performing duty cycle-based fatigue simulations on 2-wheeler components and sub-assemblies, proposing design optimizations based on FEA analysis, and considering manufacturing and packaging constraints for design changes. Additionally, you will be expected to establish correlations between test results and simulations, guarantee 100% quality and on-time delivery, and focus on weight and cost reduction through optimization techniques. To excel in this role, hands-on experience with tools such as HyperMesh, HyperView, Nastran/Optistruct, and FEMFAT/Hyperlife/n-code is essential. Your functional competencies should encompass product knowledge, product engineering and development, as well as automotive fundamentals. Moreover, your behavioral competencies will be tested through your communication skills, ability to work collaboratively in teams, interpersonal effectiveness, personal leadership, job completion rigor, customer-centric approach, and time management skills. Furthermore, you will be expected to exhibit leadership competencies by leading innovation and diverse teams, showcasing adaptability, and demonstrating strategic thinking. TVS Motor Company, known for its reputation as a global two and three-wheeler manufacturer committed to sustainable mobility, offers you the opportunity to be part of a dynamic and customer-centered organization. If you are looking to be a part of a company that values innovation, customer satisfaction, and global leadership in mobility solutions, TVS Motor Company is the place for you. For more information, visit www.tvsmotor.com.,

The opportunity: Our Market Management System (MMS) engineering team develops software utilized by electricity market operators to effectively manage, optimize, and operate extensive transmission and distribution networks globally. We are acknowledged for our leadership in tackling complex business and engineering challenges, delivering comprehensive, sophisticated, scalable, and dependable systems available in the market. How you'll make an impact: You will utilize business requirements, solution designs, and functional specifications to strategize testing and data creation activities necessary for ensuring high-quality deliveries to customer projects. Design and develop functional and non-functional use cases and test cases to validate that business objectives and functional requirements are met according to the test plan. Collaborate closely with engineering to specify the format, volume, and tools required for collecting and processing data essential for testing. Work with subject matter experts to acquire, prepare, process, validate, and finalize the data needed for testing. Provide data to support developer unit tests and leverage unit test results to enhance test cases, test data, and test steps for quality assurance testing. Implement reusable test automation, data, and function validation tools. Execute functional and non-functional tests including smoke test, integration test, factory acceptance test, performance tests, issue resolution, and regression tests. Track and rectify data and test steps as needed to ensure comprehensive test coverage. Furnish testing progress and status reports to the engineering team. Identify, track, and investigate issues detected during testing, collaborate with developers to replicate, rectify, and verify corrections, and provide testing verification progress reports. Analyze test results, propose improvements, and suggest corrective actions to maintain adherence to high-quality standards. Maintain, adapt, and enhance testing tools and artifacts, data, documentation, test environments, test automation tools, and test reports. Train and mentor others on software testing and proven testing methodologies to enhance software quality and mitigate quality risks. Ensure compliance with relevant external and internal regulations, procedures, and guidelines while embodying Hitachi Energy's core values of safety and integrity by taking ownership of actions, caring for colleagues, and contributing to the business. Your Background: - MTech/ME Degree in Electrical/Power Systems Engineering or PhD in Electrical. - 3 to 5 years of experience. - Participation in the quality assurance process at a large and geographically dispersed software development organization. - Proficiency in software development using C, Java, Fortran, Python, and other scripting languages. - Knowledge of SQL language, MS SQL, Oracle, Postgres, and other relational and non-relational databases. - Familiarity with data formats (Excel, CSV, XML, JSON) and data transformation and ETL tools. - Experience with JUnit, TestNG, DBUnit, FRUIT, Selenium, Cucumber, or similar testing frameworks. - Understanding of Linux, AIX, Windows, and other operating systems. - Critical thinking ability, capable of working independently and executing tasks with minimal supervision. - Excellent verbal and written English communication skills. - Experience with Power Systems Network Modeling, Network Topological Analysis, Power Flow, Contingency Analysis, State Estimator, Security Constrained Unit Commitment, Economic Dispatch, Linear and Non-Linear Programming (Optimization), and Numerical Methods. Qualified individuals with disabilities may request reasonable accommodations to support their accessibility during the job application process by completing a general inquiry form on the Hitachi Energy website. Requests should include contact information and specific details outlining the required accommodation. Please note that this accommodation service is exclusively for job seekers with disabilities requiring assistance in the job application process. Messages unrelated to this purpose will not receive a response.,

As an Algorithm Research & Development Engineer, you will be responsible for developing innovative solutions in the field of computer vision and image processing. With a minimum of 3-14 years of experience, you should be proficient in C++, image processing, computer vision, Open GL, and Open CL. Your primary focus will be on researching, designing, and implementing algorithms to address complex challenges in the domain. To excel in this role, you must have a strong educational background from Tier-1 colleges like IIT, IIIT, VIT, NIT, and possess expertise in subjects related to computer vision. Additionally, you should be a collaborative team player with exceptional written and verbal communication skills. A passion for rapid prototyping algorithms using MATLAB or Python is desired, along with the ability to implement algorithms in C++ software on Linux platforms. Candidates with prior experience in OpenCL, OpenGL, or OpenCV, and a background in sensor fusion, linear and nonlinear optimization techniques, CUDA/GPU programming frameworks, and data analysis and visualization tools will be preferred. Working in a product company environment is a prerequisite, as individuals from engineering product companies are more likely to be selected for this role. The successful candidate will have the opportunity to be part of a high-performing team in Chennai, India, focusing on AI-enabled semiconductor inspection equipment. You will collaborate with AI and HPC centers of excellence, contribute to product roadmaps through applied R&D, drive innovation through hackathons and engineering conferences, and enhance the technical IP portfolio through patent filings. In summary, this position offers a competitive total rewards package in a supportive and inclusive work environment. If you are a dedicated computer vision engineer or researcher with a track record of solving challenging problems and leading projects from inception to production, this role is tailored for you. Join us in shaping the future of AI-driven technologies and making a significant impact in the field of algorithm research and development.,

Execution/Tracking/Delivery of projects in Simulation domain. Thorough knowledge in Mechanics of Solids and Engineering Mechanics. Linear and Non Linear analysis of structures. Static and Dynamic analysis of structures. Topology Optimization studies using Optistruct. Experience in finding solutions to field/testing issues, providing design solutions for field failures, weight reduction and cost reduction ideas to designers. Software proficiency in Hyper works (HM and HV), Optistruct, Ansys Workbench. Knowledge of Metal fatigue, Durability and Mechanical Dynamics is desirable. Regular interaction with overseas customers. Essential Requirements: Qualification: ME/BE Mechanical Experience (Years): 5 - 15 Age: 27-40 Location: Mohali (Punjab) Competence/Skills Requirements: Hyper works (HM and HV), Optistruct Very good communication and collaboration skills Physical Requirements: Fit to work Linguistic Requirements: English Desirable Requirements: Knowledge in working of off-highway equipment (Combine Harvesters, Foragers, Tractors, etc), Agricultural Equipment and Machines. Knowledge of German Language is Desirable Interested candidates can share their updated profiles at: anuj.parmar@claas.com or can reach out 9878330503 for any query.

About the Role: Platform Product Owner Data Pipelines Were looking for a product-driven, data-savvy Platform Product Owner to lead the evolution of Hevos Data Pipelines Platform. This role blends strategic product thinking with operational excellence and offers full ownershipfrom defining product outcomes to driving delivery health and platform reliability. Youll work closely with Engineering, Architecture, and cross-functional teams to shape the platform roadmap, define user value, and ensure successful outcomes through measurable impact. If you're passionate about building scalable, high-impact data productsand excel at balancing strategy with executionthis role is for you. Key Responsibilities: Product Ownership & Strategy Define and evolve the product vision and roadmap in collaboration with Product Leadership. Translate vision into a value-driven, structured product backlog focused on scalability, reliability, and user outcomes. Craft clear user stories with well-defined acceptance criteria and success metrics. Partner with Engineering and Architecture to design and iterate on platform capabilities aligned with long-term strategy. Analyze competitive products to identify experience gaps, technical differentiators, and new opportunities. Ensure platform capabilities deliver consistent value to internal teams and end users. Product Operations & Delivery Insights Define and track key product health metrics (e.g., uptime, throughput, SLA adherence, adoption). Foster a metrics-first culture in product deliveryensuring every backlog item ties to measurable outcomes. Triage bugs and feature requests, assess impact, and feed insights into prioritization and planning. Define post-release success metrics and establish feedback loops to evaluate feature adoption and performance. Build dashboards and reporting frameworks to increase visibility into product readiness, velocity, and operations. Improve practices around backlog hygiene, estimation accuracy, and story lifecycle management. Ensure excellence in release planning and launch execution to meet quality and scalability benchmarks. Collaboration & Communication Champion the product vision and user needs across all stages of development. Collaborate with Support, Customer Success, and Product Marketing to ensure customer insights inform product direction. Develop enablement materials (e.g., internal walkthroughs, release notes) to support go-to-market and support teams. Drive alignment and accountability throughout the product lifecyclefrom planning to post-release evaluation. Qualifications: Required Bachelors degree in Computer Science or a related engineering field. 5+ years of experience as a Product Manager/Product Owner, with time spent on platform/infrastructure products at B2B startups. Hands-on experience with ETL tools or modern data platforms (e.g., Talend, Informatica, AWS Glue, Snowflake, BigQuery, Redshift, Databricks). Strong understanding of the product lifecycle with an operations-focused mindset. Proven ability to collaborate with engineering teams to build scalable, reliable features. Familiarity with data integration, APIs, connectors, and streaming/real-time data pipelines. Analytical mindset with experience tracking KPIs and making data-informed decisions. Excellent communication and cross-functional collaboration skills. Proficiency with agile product development tools (e.g., Jira, Aha!, Linear). Preferred Experience in a data-intensive environment. Engineer-turned-Product Manager with a hands-on technical background. MBA from a Tier-1 institute.

Role & responsibilities Job Description Pet stretch blow molding expert Knowledge of two stage PET stretch blowing machine both linear and rotary machine Knowledge and experience in process setting in two stages stretch Blowing machine Experience in Krones, Sidel, Shyam, Hildon, Techlong mcs Experience in LAbelling, Filling, etc. Education: - Degree in Mechanical/ Electrical//Diploma in Mechanical/ Electrical, CIPET/Mechanical/ EEE Experience: Min 7 to 12 years in the related field Skills: Knowledge and troubleshooting experience in filling lines Knowledge of injection molding PET preforms process Knowledge of preform defects Knowledge of Pet bottle defects Problem solving analytical skill Communication skill in Hindi and English Experience in customer handling and coordination with plant Knowledge in Bottle testing methods Preferred candidate profile

Perform structural analysis and design of offshore platforms, jackets, topsides and subsea structures using SACS. Conduct in-place, fatigue, seismic and accidental load assessments in compliance with industry standards like API, DNV, ISO, ABS. Required Candidate profile Conduct load-out, transportation and installation analyses for offshore structures Perform structural integrity assessments for aging assets and recommend reinforcement/ decommissioning strategies