Design Engineer Company: Engineering Location: Hyderabad, India Overview: • Setup Planning (in liaison with Design Engineering team) • Understanding design challenges and resolve design problems can handle 3D Modelling tasks related to mould design/ modification and part modelling • Can handle drafting tasks related to mould, shell, FRP and panel drawings • Understanding of engineering drawings and related standards • Arrange review of work by reporting person Ability to understand composite materials (material, manufacturing techniques, in-house variants of tooling) • Ability to coordinate among the design and other departments in the company • Ability to interpret structural documents to the correct choice of process, tooling, and panel detailing • Ability to work across different mould tasks and capture optimization opportunities to save time and/ or costs Ability to analyse a given surface to propose tweaking points and/ or design modification to save time and/ or cost Support communication flow within the department and between key stakeholders, including: • Bill of Materials and materials specification • Milestone information • Design changes • MRB Role & responsibilities
Job Summary: We are seeking an experienced and proactive Lead Design Engineer to manage and lead design activities, provide project oversight, and serve as a critical liaison between onshore and offshore teams. The role includes responsibilities in quotation estimation, client relationship management, technical query resolution, and financial coordination, making it ideal for a multidisciplinary professional with strong communication and organizational skills. Key Responsibilities: Design & Engineering: Lead and review detailed engineering design work, ensuring accuracy, compliance, and alignment with project requirements. Collaborate with cross-functional teams (onshore and offshore) to resolve technical queries efficiently. Ensure design deliverables are on schedule, within budget, and meet quality standards. Project Management: Manage end-to-end execution of projects from design to delivery. Develop and track project plans, timelines, and deliverables. Coordinate resources and lead status meetings with internal and external stakeholders. Mitigate risks and ensure smooth project execution. Client Interface & Business Development: Act as a primary point of contact for client communications. • Understand client needs and translate them into actionable engineering tasks. Support in securing new projects by participating in technical discussions and presenting capabilities. Prepare and present proposals and engineering quotations to clients. Quotation & Estimation: Provide technical inputs for quotation preparation including man-hours and cost estimation. Analyze project scope and prepare estimation documents for client review. Collaborate with business development and sales teams to refine and submit proposals. Financial & Invoicing Support: Assist the finance team in tracking project-related costs and invoicing. • Ensure timely submission of invoices and support with client payment follow-ups. Monitor project budgets and alert leadership on deviations. Qualifications & Skills: Bachelors degree in engineering (Mechanical/Electrical/Civil/etc.) or related field. 7+ years of engineering experience, with at least 2 years in a leadership/project management role. Proven experience handling offshore and onsite coordination. • Strong skills in design tools and engineering software (AutoCAD, SolidWorks, Revit, etc. as applicable). Excellent communication and interpersonal skills. Strong understanding of project cost estimation and budgeting. Prior exposure to client interaction and proposal development. Experience working with finance or ERP tools is a plus. Preferred Attributes: • PMP or equivalent certification (desirable but not mandatory). • Ability to work in a fast-paced, deadline-driven environment. • Proactive, detail-oriented, and solution-focused mindset.
Position Overview We are seeking an experienced Senior Aerospace Design Engineer to lead the design and development of aerospace structures and composite components at our Hyderabad facility. The role requires deep technical expertise in CATIA V5/V6 , strong knowledge of composites design & manufacturing , and the ability to guide junior engineers while collaborating across multidisciplinary teams. Key Responsibilities Lead the design, development, and validation of aerospace composite and metallic structures using CATIA V5/V6 (Part Design, Assembly, Drafting, Generative Shape Design, Composites Workbench). Develop laminate designs, ply books, and draping simulations , ensuring structural efficiency and manufacturability. Perform design reviews and provide technical guidance to junior engineers and design teams. Collaborate closely with stress analysis, manufacturing, tooling, and certification teams to ensure design integrity and compliance. Ensure adherence to airworthiness standards (EASA/FAA/CS/FAR) and aerospace quality requirements (AS9100). Oversee preparation of engineering documentation, BOMs, and configuration control in PLM systems (Teamcenter / ENOVIA / Windchill). Drive process improvement, automation, and best practices in design methodology and CAD data management. Act as a technical mentor , training junior engineers in CATIA and aerospace design principles. Support customer interactions, design reviews, and program delivery milestones . Required Qualifications Bachelors or Masters degree in Aerospace Engineering / Mechanical Engineering . 7–12 years of experience in aerospace structural design, with a strong focus on composites . Expertise in CATIA V5/V6 , especially Composites Design & Aerospace Sheet Metal Workbenches . In-depth knowledge of composite materials, manufacturing processes (AFP, ATL, RTM, autoclave, hand lay-up), and repair techniques. Strong knowledge of GD&T, ASME Y14.5, and aerospace drawing standards . Experience working with aircraft OEMs or Tier-1 suppliers . Desired Skills Hands-on experience with FEA integration for composites (NASTRAN, HyperMesh, Abaqus). Familiarity with certification processes, design allowables, and substantiation methods . Strong leadership, mentoring, and project coordination skills. Exposure to multidisciplinary design reviews, customer presentations, and program management . Knowledge of hybrid metallic-composite structures and weight optimization techniques . Work Location Hyderabad, India
Job Description: Aerospace Program Manager Hyderabad Position Overview We are seeking a highly driven Aerospace Program Manager to lead and oversee aerospace design and development programs from concept to delivery. Based in Hyderabad , this role will involve managing cross-functional teams, ensuring program execution within scope, schedule, cost, and quality, while serving as the primary interface with customers and senior stakeholders. The ideal candidate will bring a strong aerospace engineering background, leadership expertise, and program management experience in working with global OEMs/Tier-1 suppliers. Key Responsibilities Lead and manage end-to-end aerospace programs , ensuring successful delivery of engineering, design, and manufacturing milestones. Act as the primary point of contact for customers, maintaining strong relationships and ensuring alignment with program requirements. Define program scope, objectives, and success criteria in alignment with business and customer needs. Develop and monitor program schedules, budgets, resource allocation, and risk management plans . Coordinate across design, stress, manufacturing, supply chain, quality, and certification teams to achieve program deliverables. Lead program reviews (internal and customer-facing) , presenting progress, risks, and mitigation strategies. Ensure adherence to aerospace standards (AS9100, FAA/EASA/CS/FAR compliance) and organizational quality processes. Drive continuous improvement, lean practices, and innovation in program execution. Mentor project managers, engineers, and team leaders to enhance program management maturity across the organization. Required Qualifications Bachelor’s or Master’s degree in Aerospace Engineering / Mechanical Engineering (MBA/PMP certification preferred). 12–18 years of experience in aerospace, with at least 5+ years in program/project management . Proven track record of leading large, complex aerospace programs (structures, composites, interiors, systems, or propulsion). Strong knowledge of program management methodologies (PMP/PRINCE2/Agile). Hands-on understanding of aerospace design tools ( CATIA V5/V6, PLM systems ) and engineering workflows. Experience working with global OEMs/Tier-1 suppliers and managing multi-site teams. Desired Skills Strong leadership, stakeholder management, and customer-facing communication skills. Ability to manage program financials (cost, revenue, margin, cash flow) . Expertise in risk management and change management . Familiarity with aerospace certification processes and regulatory compliance. Strong negotiation, conflict resolution, and decision-making abilities. Work Location Hyderabad, India
Job Description Digital Marketing Executive Position: Digital Marketing Executive Experience: Minimum 2+ years Location: Hyderabad Employment Type: Full-time About the Role We are looking for a results-driven Digital Marketing Professional with proven experience in SEO, Google tools, social media, and AI-powered marketing tools. The candidate should be passionate about driving online growth, optimizing campaigns, and building a strong brand presence across digital platforms. Key Responsibilities Perform on-page and off-page SEO activities to improve rankings. Monitor website health and indexing through Google Search Console (GSC). Track and analyze performance using Google Analytics (GA/GA4). Plan, create, and manage posts across social media platforms. Run paid campaigns, track ROI, and optimize ad performance. Utilize AI-driven tools for SEO, content creation, and campaign optimization. Collaborate with content/design team for creatives, blogs, and ad copies. Prepare monthly digital performance reports. Required Skills & Qualifications Minimum 2+ years of experience in digital marketing. Strong knowledge of SEO, GSC, GA/GA4, Google Ads, and social media platforms. Hands-on experience with AI-based marketing tools (e.g., ChatGPT, Jasper, SurferSEO, SEMrush AI, etc.). Proficiency in content optimization and keyword research tools. Strong analytical and reporting skills. Good communication and teamwork skills. Preferred Qualifications Experience with WordPress / CMS platforms. Knowledge of basic HTML, CSS, or website optimization. Prior experience in travel, transport, or service-based industry (added advantage). Perks & Benefits Competitive salary + performance incentives. Opportunity to work with AI-driven marketing strategies. Growth-oriented and collaborative work culture. Exposure to multiple digital platforms and advanced tools. Pl share your updated CV to vishwanadh@plugscale.com and indicate your current/Expected CTC Work Location: Hyderabad Work from Office
Role Overview: The Demand Gen Specialist will be the growth engine behind ContextQAs pipeline. Youll design and run campaigns that generate high-quality MQLs, optimize conversions to SQLs, and support the outbound team with content, sequences, and events. Your role bridges marketing and sales, ensuring a steady flow of qualified prospects aligned with ICP. Responsibilities: Own lead generation campaigns (LinkedIn Ads, webinars, gated content, events). Collaborate with the SDR/BDR team to create effective messaging and assets. Track MQL SQL conversion and optimize campaigns accordingly. Build and manage prospect databases (ZoomInfo, Clearbit enrichment). Run email nurturing campaigns to re-engage cold leads. Support ABM campaigns for top 100 target accounts. Requirements: 4-6+ years in B2B SaaS demand generation. Proven track record generating MQLs that convert to SQLs. Expertise in LinkedIn Ads, content marketing, email nurture campaigns. Strong analytical mindset, comfortable with attribution and ROI metrics. Familiarity with HubSpot, Salesforce, Marketo, or similar. KPIs: Volume: 100-150 MQLs/month. 30%+ MQL SQL conversion. Campaign ROI >3x.
Role Overview: As an SDR at ContextQA , youll be the first touchpoint for prospective customers. Your role is to qualify inbound leads (MQLs) and prospect outbound into target accounts, booking discovery calls with qualified buyers. Youll work closely with the Sales Manager to refine outreach strategies and ensure meetings are with high-value ICP accounts. Responsibilities: Respond to inbound leads within SLA (1 hour during working hours). Research and qualify inbound MQLs against ICP (company size, industry, QA challenges). Run multi-channel outbound sequences (calls, emails, LinkedIn) into target accounts. Schedule and confirm meetings for Sales Manager/AE. Maintain accurate activity and pipeline data in CRM. Share prospect feedback with marketing/sales for messaging refinement. Requirements: 2-4+ years in SDR role (B2B SaaS preferred). Track record of hitting meeting booking targets. Strong written/verbal communication skills. Comfort speaking with VP Engineering, QA Managers, and technical buyers. Organized, persistent, and comfortable with high-volume outreach. KPIs: 40-50 calls/day, 30-40 emails/day. 15-20 meetings booked/month. 20-25% meeting-to-opportunity conversion. Fast follow-up on inbound leads (1 hour).
Role Overview: Were hiring a BDR to focus purely on outbound prospecting into new accounts. Youll be responsible for opening doors at strategic ICP companies, uncovering QA pain points, and generating sales-qualified opportunities. Unlike SDRs who balance inbound and outbound, BDRs are huntersfocused on account mapping, cold outreach, and creating net-new opportunities. Responsibilities: Build account lists (SaaS, FinTech, E-com, Healthcare) within ICP (1005,000 employees). Execute outbound prospecting via cold calls, cold emails, LinkedIn touches, and networking. Research accounts and personalize outreach to VP Engineering, QA Directors, and CTOs. Book meetings and generate SQLs for Sales Manager/AE. Partner with marketing to execute ABM campaigns for key accounts. Track activities, sequences, and results in CRM. Requirements: 2-4 years in BDR/Outbound sales (enterprise SaaS strongly preferred). Experience breaking into VP/CTO level accounts. Strong hunter mentality, resilience, and ability to handle rejection. Excellent research skills to personalize outreach. Familiarity with tools: LinkedIn Sales Navigator, ZoomInfo/Clearbit, Outreach. KPIs: 50-60 cold calls/day, 40-50 outbound emails/day. 8-12 SQLs generated/month. 3-4 new ICP accounts opened/month. 1520% SQL Opp conversion.
Role Overview: Were seeking a hands-on Outbound Sales Manager to build and lead our outbound sales function. This role combines leadership with execution: youll design the outbound strategy, coach SDRs/BDRs, and personally prospect into key accounts to set the tone for the team. Your focus will be driving high-quality meetings (SQLs) with engineering leaders (VP Eng, QA Heads, CTOs) in mid-market and enterprise SaaS/FinTech/E-commerce/Healthcare companies. Responsibilities: Own outbound sales playbook: messaging, ICP targeting, cadences, and objection handling. Prospect into strategic accounts (personally generating 814 SQLs/month). Manage SDR/BDR team (hire, train, coach, performance manager). Collaborate with marketing on campaigns to ensure strong MQL SQL conversion. Track and analyze outbound metrics (activity, conversion, pipeline). Join discovery calls to model excellence and close early-stage opportunities. Report on pipeline health and ensure 34x coverage vs. target. Requirements: 5-8+ years in outbound SaaS sales (IC + team lead/manager). Proven success booking meetings with VP+ personas in technical SaaS/enterprise buyers. Experience building and scaling SDR/BDR functions. Knowledge of tools like Salesforce/HubSpot, Outreach/Salesloft, LinkedIn Sales Navigator. Strong understanding of B2B SaaS enterprise buying cycles. Comfortable in a player-coach role (50% managing, 50% doing). KPIs: Team hitting 60-70% of activity targets. Personally 8-14 SQLs/month. Team booking 30-40 SQLs/month. 20-25% MQL SQL conversion. SDR ramp time 4 weeks.
Role Overview: Were hiring a BDR to focus purely on outbound prospecting into new accounts. Youll be responsible for opening doors at strategic ICP companies, uncovering QA pain points, and generating sales-qualified opportunities. Unlike SDRs who balance inbound and outbound, BDRs are huntersfocused on account mapping, cold outreach, and creating net-new opportunities. Responsibilities: Build account lists (SaaS, FinTech, E-com, Healthcare) within ICP (1005,000 employees). Execute outbound prospecting via cold calls, cold emails, LinkedIn touches, and networking. Research accounts and personalize outreach to VP Engineering, QA Directors, and CTOs. Book meetings and generate SQLs for Sales Manager/AE. Partner with marketing to execute ABM campaigns for key accounts. Track activities, sequences, and results in CRM. Requirements: 2-4 years in BDR/Outbound sales (enterprise SaaS strongly preferred). Experience breaking into VP/CTO level accounts. Strong hunter mentality, resilience, and ability to handle rejection. Excellent research skills to personalize outreach. Familiarity with tools: LinkedIn Sales Navigator, ZoomInfo/Clearbit, Outreach. KPIs: 50-60 cold calls/day, 40-50 outbound emails/day. 8-12 SQLs generated/month. 3-4 new ICP accounts opened/month. 1520% SQL Opp conversion.
Role Overview: As an SDR at ContextQA , youll be the first touchpoint for prospective customers. Your role is to qualify inbound leads (MQLs) and prospect outbound into target accounts, booking discovery calls with qualified buyers. Youll work closely with the Sales Manager to refine outreach strategies and ensure meetings are with high-value ICP accounts. Responsibilities: Respond to inbound leads within SLA (1 hour during working hours). Research and qualify inbound MQLs against ICP (company size, industry, QA challenges). Run multi-channel outbound sequences (calls, emails, LinkedIn) into target accounts. Schedule and confirm meetings for Sales Manager/AE. Maintain accurate activity and pipeline data in CRM. Share prospect feedback with marketing/sales for messaging refinement. Requirements: 2-4+ years in SDR role (B2B SaaS preferred). Track record of hitting meeting booking targets. Strong written/verbal communication skills. Comfort speaking with VP Engineering, QA Managers, and technical buyers. Organized, persistent, and comfortable with high-volume outreach. KPIs: 40-50 calls/day, 30-40 emails/day. 15-20 meetings booked/month. 20-25% meeting-to-opportunity conversion. Fast follow-up on inbound leads (1 hour).
Role Overview: The Demand Gen Specialist will be the growth engine behind ContextQAs pipeline. Youll design and run campaigns that generate high-quality MQLs, optimize conversions to SQLs, and support the outbound team with content, sequences, and events. Your role bridges marketing and sales, ensuring a steady flow of qualified prospects aligned with ICP. Responsibilities: Own lead generation campaigns (LinkedIn Ads, webinars, gated content, events). Collaborate with the SDR/BDR team to create effective messaging and assets. Track MQL SQL conversion and optimize campaigns accordingly. Build and manage prospect databases (ZoomInfo, Clearbit enrichment). Run email nurturing campaigns to re-engage cold leads. Support ABM campaigns for top 100 target accounts. Requirements: 4-6+ years in B2B SaaS demand generation. Proven track record generating MQLs that convert to SQLs. Expertise in LinkedIn Ads, content marketing, email nurture campaigns. Strong analytical mindset, comfortable with attribution and ROI metrics. Familiarity with HubSpot, Salesforce, Marketo, or similar. KPIs: Volume: 100-150 MQLs/month. 30%+ MQL SQL conversion. Campaign ROI >3x.
Role Overview: Were seeking a hands-on Outbound Sales Manager to build and lead our outbound sales function. This role combines leadership with execution: youll design the outbound strategy, coach SDRs/BDRs, and personally prospect into key accounts to set the tone for the team. Your focus will be driving high-quality meetings (SQLs) with engineering leaders (VP Eng, QA Heads, CTOs) in mid-market and enterprise SaaS/FinTech/E-commerce/Healthcare companies. Responsibilities: Own outbound sales playbook: messaging, ICP targeting, cadences, and objection handling. Prospect into strategic accounts (personally generating 814 SQLs/month). Manage SDR/BDR team (hire, train, coach, performance manager). Collaborate with marketing on campaigns to ensure strong MQL SQL conversion. Track and analyze outbound metrics (activity, conversion, pipeline). Join discovery calls to model excellence and close early-stage opportunities. Report on pipeline health and ensure 34x coverage vs. target. Requirements: 5-8+ years in outbound SaaS sales (IC + team lead/manager). Proven success booking meetings with VP+ personas in technical SaaS/enterprise buyers. Experience building and scaling SDR/BDR functions. Knowledge of tools like Salesforce/HubSpot, Outreach/Salesloft, LinkedIn Sales Navigator. Strong understanding of B2B SaaS enterprise buying cycles. Comfortable in a player-coach role (50% managing, 50% doing). KPIs: Team hitting 60-70% of activity targets. Personally 8-14 SQLs/month. Team booking 30-40 SQLs/month. 20-25% MQL SQL conversion. SDR ramp time 4 weeks.
About the Role: We are seeking a highly motivated and experienced AI Solution Architect (Data Scientist) to join our growing team as Associate Vice President. In this critical role, you will play a pivotal role in designing and developing innovative AI solutions for our customers. You will collaborate with key stakeholders including CXOs to understand their challenges and craft comprehensive solutions that leverage the power of AI/ML and Generative AI. Responsibilities: Lead from the front as a hands-on subject matter expert, architecting and crafting scalable AI and Generative AI solutions. Partner with customers to deeply understand their business needs and pain points related to AI/ML and Generative AI. Lead technical responses to RFPs (Request for Proposals), crafting detailed solution architectures, technical approaches, and implementation methodologies Design and build robust and secure solution architectures, encompassing conceptual, technical, and security considerations. This includes high-level and low-level designs, implementation roadmaps, and integration plans with existing workflows. Develop compelling solution proposals, including high-level approach and architecture diagrams with clear narratives that explain key design choices, such as: Selection of appropriate AI/ML models (e.g., supervised learning, unsupervised learning, deep learning) based on data characteristics and problem requirements. Strategies for data pre-processing, feature engineering, and model training. Considerations for model explainability, bias mitigation, and fairness. Work along with engineering team to create proof-of-concept (POC) demonstrations that validate the proposed solutions, considering factors like: Identify and leverage existing AI/ML and Generative AI accelerators and solutions to enhance presales activities, client demos, and POC development. Continuously stay updated on the latest advancements in Generative AI through ongoing learning and training initiatives. Qualifications: Bachelors or masters degree in computer science, Engineering, or a related field. 8-12 years of experience in designing and developing AI/ML and Generative AI solutions. Proven track record of successfully translating customer requirements into effective AI-powered solutions. Strong understanding of machine learning principles, frameworks (e.g., pandas, TensorFlow, PyTorch), and best practices. Expertise in cloud computing platforms (Azure, AWS, GCP) for AI/ML deployments. In-depth knowledge of Generative AI models and services like Azure OpenAI, Google AI, AWS, Anthropic, Nvidia NeMo, and Microsoft Copilot etc., plus open source LLMs Experience with natural language processing (NLP) techniques for tasks like text classification, sentiment analysis, and machine translation. Understanding of computer vision (CV) concepts and frameworks for tasks like object detection, image recognition, and image segmentation; and reinforcement learning (RL). Familiarity with designing applications with Nvidia CUDA, and familiarity with NVIDIA NeMo framework for GenAI application development. Knowledge of model deployment strategies, including containerization and orchestration tools (e.g., Docker Kubernetes). Pl do share the Updated CV's to Vishwanadh@plugscale.com Location: BLR/Pune Hybrid: Compensation: 50-60 L Inclusive of 15 % Bonus
About the Company: A are a next-generation AI-first digital transformation company, headquartered in Singapore with delivery hubs in Gurgaon, Noida, and Hyderabad. Serving Fortune 500 clients across India, the US, Europe, the Middle East, and Southeast Asia. Our 1,000+ strong team delivers outcome-focused AI solutions across Telecom, Travel, Healthcare, Logistics, and CX Transformation leveraging generative AI, predictive analytics, machine learning, and autonomous agents to build intelligent, context-aware enterprise systems. About the Role: We are seeking a highly motivated and experienced AI Solution Architect (Data Scientist) to join our growing team as Associate Vice President. In this critical role, you will play a pivotal role in designing and developing innovative AI solutions for our customers. You will collaborate with key stakeholders including CXOs to understand their challenges and craft comprehensive solutions that leverage the power of AI/ML and Generative AI. Responsibilities: Lead from the front as a hands-on subject matter expert, architecting and crafting scalable AI and Generative AI solutions. Partner with customers to deeply understand their business needs and pain points related to AI/ML and Generative AI. Lead technical responses to RFPs (Request for Proposals), crafting detailed solution architectures, technical approaches, and implementation methodologies Design and build robust and secure solution architectures, encompassing conceptual, technical, and security considerations. This includes high-level and low-level designs, implementation roadmaps, and integration plans with existing workflows. Develop compelling solution proposals, including high-level approach and architecture diagrams with clear narratives that explain key design choices, such as: Selection of appropriate AI/ML models (e.g., supervised learning, unsupervised learning, deep learning) based on data characteristics and problem requirements. Strategies for data pre-processing, feature engineering, and model training. Considerations for model explainability, bias mitigation, and fairness. Work along with engineering team to create proof-of-concept (POC) demonstrations that validate the proposed solutions, considering factors like: Identify and leverage existing AI/ML and Generative AI accelerators and solutions to enhance presales activities, client demos, and POC development. Continuously stay updated on the latest advancements in Generative AI through ongoing learning and training initiatives. Qualifications: Bachelors or master’s degree in computer science, Engineering, or a related field. 8-12 years of experience in designing and developing AI/ML and Generative AI solutions. Proven track record of successfully translating customer requirements into effective AI-powered solutions. Strong understanding of machine learning principles, frameworks (e.g., pandas, TensorFlow, PyTorch), and best practices. Expertise in cloud computing platforms (Azure, AWS, GCP) for AI/ML deployments. In-depth knowledge of Generative AI models and services like Azure OpenAI, Google AI, AWS, Anthropic, Nvidia NeMo, and Microsoft Copilot etc., plus open source LLMs Experience with natural language processing (NLP) techniques for tasks like text classification, sentiment analysis, and machine translation. Understanding of computer vision (CV) concepts and frameworks for tasks like object detection, image recognition, and image segmentation; and reinforcement learning (RL). Familiarity with designing applications with Nvidia CUDA, and familiarity with NVIDIA NeMo framework for GenAI application development. Knowledge of model deployment strategies, including containerization and orchestration tools (e.g., Docker, Kubernetes).
About the company: Bangalore-based technology services firm focusing on market entry, tech consulting, web/app development, and IT infrastructure, helping businesses scale with solutions in cloud, IoT, security, and DevOps, aiming for efficient digital transformation. Location: Bangalore (Work From Office) Experience: 810 Years Education: M.Tech in Electronics / Embedded Systems Key Responsibilities: Develop Embedded C firmware, CDD, and low-level drivers Implement COM and diagnostics (CAN, UDS) Develop control algorithms for Motor Control (FOC) and BMS (SOC, SOH) Key Skills: Embedded C, CDD, Low-Level Drivers, Motor Control FOC, BMS SOC/SOH, CAN, Diagnostics
About the company: Bangalore-based technology services firm focusing on market entry, tech consulting, web/app development, and IT infrastructure, helping businesses scale with solutions in cloud, IoT, security, and DevOps, aiming for efficient digital transformation. Location: Bangalore (Work From Office) Experience: 8 to 10 Years Education: M.Tech in Power Electronics Key Responsibilities: Design and develop DCDC converters, inverters, and LV/HV power supplies Perform worst-case circuit and thermal analysis Support prototyping, testing, and design validation Key Skills: Power Electronics, DCDC Converters, Inverter Design, LV/HV Power Supplies, Worst Case Analysis
Role Overview: Were a fast-growing startup looking for a Junior Corporate Sales Executive who can help us bring in new business, talk to clients confidently, and support the team in scaling our sales pipeline. Key Responsibilities: Interact with B2B clients to understand business goals and challenges. Gather, analyze, and document requirements (user stories, workflows, BRD/FRD). Convert client needs into clear specifications for design and engineering teams. Support teams throughout the SDLC with requirement clarifications. Participate in requirement workshops, sprint planning, and backlog grooming. Ensure deliverables meet documented requirements and client expectations. Skills & Experience: 3+ years in a business development department at a software development service-based company. Strong understanding of B2B processes and client communication. Proficiency in requirement documentation and process flows. Excellent analytical and communication skills. Good to Have: Exposure to integration/API projects. Basic understanding of data analysis/SQL.
Requirements: Bachelors degree in computer science, Information Technology, or a related field. 4-8 Years of experience in ETL development using Informatica PowerCenter. Strong understanding of data warehousing concepts and relational databases (e.g., Oracle, SQL Server). Familiarity with star and snowflake schema modelling techniques. Proficiency in SQL and experience with performance tuning of SQL queries. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills, with the ability to work collaboratively across teams. Preferred Skills: Experience working with DataStage. Experience with Informatica Cloud (IICS) or other cloud-based ETL tools. Knowledge of data modeling and data governance best practices. Familiarity with Agile methodologies and project management tools (e.g., JIRA). Experience with version control systems (e.g., Git).
About the Role We're seeking an exceptional AI/ML Engineer who breaks the traditional mold. This isn't a role for someone who only trains models or lives in Jupyter notebooks. We need an end-to end product engineer who happens to have deep AI/ML expertise someone who can architect scalable systems, ship production code, own product outcomes, and drive technical decisions from conception to deployment. You'll be responsible for building and scaling AI-powered products that directly impact our users and business. This means taking models from research to production, designing robust APIs, optimizing infrastructure, collaborating with cross-functional teams, and owning the complete product lifecycle. If you're a builder who thrives on seeing your work in users' hands and measures success by product impact rather than model accuracy alone, this role is for you. What You'll Own Product Development & Delivery You'll own entire AI/ML products from ideation to production. This includes defining technical architecture, making build-vs-buy decisions, scoping MVPs, and delivering features that solve real user problems. You'll work closely with product managers and designers, but you'll drive technical strategy and execution independently. End-to-End ML Systems Design and implement complete ML pipelines including data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. You'll build systems that are maintainable, scalable, and production-ready not just experimental notebooks. Production Engineering Write clean, tested, production-grade code across the stack. Build RESTful APIs, implement efficient data processing pipelines, optimize model serving infrastructure, and ensure systems are reliable, performant, and cost-effective at scale. Technical Architecture Make critical architectural decisions around model selection, infrastructure design, data flow, and system integration. You'll evaluate trade-offs between different approaches, prototype solutions, and champion best practices across the team. Cross-Functional Leadership Collaborate with engineering, product, design, and business teams to translate requirements into technical solutions. You'll advocate for users, communicate complex technical concepts clearly, and drive alignment on priorities and timelines. Performance & Optimization Continuously improve system performance, model accuracy, latency, and resource utilization. Implement monitoring and observability to catch issues early, and iterate based on production metrics and user feedback. What We're Looking For Experience Profile 4-6 years of software engineering experience with at least 3 years building and deploying AI/ML systems in production environments. You've shipped real products that users depend on, not just research projects or POCs. ML Engineering Excellence Strong fundamentals in machine learning with hands-on experience across multiple domains NLP, computer vision, recommendation systems, or time-series forecasting. You understand model selection, training strategies, evaluation metrics, and when to use different architectures. Proficiency with PyTorch or TensorFlow, scikit-learn, and modern ML frameworks. Software Engineering Chops You're a strong programmer who writes clean, maintainable code. Solid proficiency in Python with experience in at least one additional language (Go, Java, JavaScript, or C++). Deep understanding of data structures, algorithms, design patterns, and software architecture principles. Production ML Systems Proven track record building scalable ML infrastructure including model serving (TensorFlow Serving, TorchServe, ONNX), feature stores, experiment tracking (MLflow, Weights & Biases), and CI/CD for ML. Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, or Azure). Full-Stack Capabilities Ability to build complete features end-to-end. Experience with backend development (FastAPI, Flask), API design, databases (SQL and NoSQL), caching strategies, and basic frontend skills when needed. You're comfortable working across the stack. Data Engineering Skills Strong SQL and data manipulation skills with experience building ETL/ELT pipelines. Proficiency with data processing frameworks (Spark, Dask, or similar) and working with both structured and unstructured data at scale. Product Mindset You think beyond technical implementation to user impact and business outcomes. Experience working closely with product teams, translating ambiguous requirements into technical solutions, and making pragmatic engineering decisions that balance quality, speed, and scope. System Design Ability to design robust, scalable systems considering performance, reliability, security, and cost. Experience with distributed systems, microservices architecture, and handling high-traffic production environments. Technical Stack Exposure Experience with modern LLM frameworks (LangChain, LlamaIndex, Haystack), vector databases (Pinecone, Weaviate, Qdrant), and RAG architectures is highly valued. Familiarity with model optimization techniques (quantization, pruning, distillation) and serving optimizations. Understanding of MLOps best practices and tools for model monitoring, versioning, and governance. What Sets You Apart You've built AI features that thousands or millions of users interact with daily. You have strong opinions on engineering practices but remain pragmatic about trade-offs. You've mentored other engineers and elevated team standards. You're comfortable with ambiguity and can scope and execute projects with minimal guidance. You stay current with AI/ML advances but know when to use proven approaches versus cutting-edge research. You have experience with A/B testing and experimentation frameworks. You've dealt with model drift, data quality issues, and production incidents, emerging with better systems and processes. What Success Looks Like In your first six months, you'll own at least one significant AI/ML feature from design to deployment, improve our ML infrastructure and development velocity, establish monitoring and evaluation frameworks for production models, and become a go-to technical resource for AI/ML product decisions across the organization. We're building products that require both deep technical expertise and strong product intuition. If you're excited about the intersection of AI/ML and product engineering, and you want to see your work directly impact users while working with cutting-edge technology, we'd love to hear from you.