Research Engineering Jobs in Bengaluru

Senior Product Manager Location: Bengaluru Department: Product Product Employment Type: Full-Time About Dozee Dozee Health AI is India s leading provider of AI-powered, contactless Remote Patient Monitoring (RPM) and Early Warning Systems (EWS). With a mission to save lives through connected healthcare, Dozee s solutions continuously monitor patients, offering early warnings of clinical deterioration to enable timely interventions. Trusted by hospitals in India, the USA, and Africa, Dozee is transforming patient safety and care, improving outcomes, and reducing healthcare costs. Role Overview As a Senior Product Manager, you will lead the product roadmap and strategy for Dozee s portfolio, including both devices and software applications. You will be responsible for driving product innovation, defining solutions, and ensuring the delivery of products that meet customer needs. This role involves deep cross-functional collaboration to drive successful product launches and customer satisfaction. Key Responsibilities Product Strategy & Roadmap Own and lead the product roadmap, balancing short-term goals with long-term vision. Champion the voice of the customer by deeply understanding their needs and pain points. Work with design/UX teams to define solutions, user interfaces, and workflows that enhance the user experience. Product Development & Execution Translate customer requirements into detailed product specifications. Collaborate with engineering teams to ensure timely delivery of high-quality products. Define and monitor business metrics and OKRs to track success and impact. Cross-Functional Collaboration Align product strategy with business objectives alongside sales, marketing, and service teams. Drive customer success through seamless product experiences and support strategies. Assist in creating marketing materials, including product demos and documentation. Market Research & Competitive Analysis Evaluate market opportunities and perform competitive analysis to identify growth areas. Conduct research to ensure products are differentiated and aligned with global customer demands. Team Leadership & Mentorship Lead and mentor a team of Product Managers, providing guidance, coaching, and support for professional growth. Requirements Experience & Qualifications 5-7 years of experience in Product Management, preferably in healthcare or technology sectors. Proven experience in launching and scaling B2B products. Strong communication skills and the ability to influence cross-functional teams. Experience leading and developing teams to deliver successful outcomes. Skills Ability to think strategically and tactically. Data-driven decision-making with a focus on actionable insights. Expertise in product management tools such as JIRA and Asana. Familiarity with Business Intelligence (BI) tools is a plus. Why Join Dozee Pioneer AI-powered solutions that are saving lives and transforming healthcare. Lead strategy alongside industry experts in a fast-paced, innovative environment. Collaborate with top healthcare providers on a global scale.

Security Research Engineer Security Research Experience: 5 8 Years | Location: Bangalore | Employment Type: Full-Time About SecPod SecPod is a SaaS-based cybersecurity products company focused on prevention-first security. Our Saner Cloud platform is a unified CNAPP solution that combines AI-driven threat intelligence, automated vulnerability detection, and Cloud Security Posture Management (CSPM) to secure multi-cloud environments. Role Summary We are seeking a highly skilled Security Research Engineer to join our Security Research team. This role focuses on researching emerging cloud security threats, developing security intelligence feeds, building proof-of-concepts (PoCs) for misconfigurations, and creating automated remediation and compliance content. Key Responsibilities Threat Research: Conduct security research to develop intelligence feeds and checks with a strong emphasis on cloud security. Vulnerability & Risk Analysis: Identify and create PoCs for emerging cloud misconfigurations and security risks. Automation: Develop automation for research and validation tasks using Python or other scripting languages. Compliance & Remediation: Build remediation feeds for cloud misconfigurations and compliance benchmarks. Lifecycle Management: Manage the end-to-end lifecycle of research outputs, from initial development through production release. Required Qualifications & Skills Professional Experience: 5 8 years in security research or engineering, with at least 3 years in a senior technical role. Cloud Infrastructure: Hands-on experience with AWS, Azure, or GCP. Technical Fundamentals: Strong understanding of operating systems, networking, and computer science security. Programming: Proficiency in languages such as Python, C, C++, or Java. Environment Expertise: Experience across Linux/Unix, Windows, and virtualization environments. Compliance: Solid knowledge of cloud security and security benchmark compliance. Education Bachelor s degree (or equivalent) in Computer Science or a related field. Qualification : Bachelors degree (or equivalent) in Computer Science or a related field

Lead Machine Learning Engineer - NLP Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. You will be shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale millions of interactions daily. If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems, you will feel right at home. You ll also have the opportunity to publish in top conferences, and influence Observe.AI s product and platform strategy. What you ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you ll bring to the role Education: Bachelor s or Master s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist. 5+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production. Good understanding of recent advances in building LLM-powered applications, and multi-agent systems at scale. Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development. Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus. Published papers in top NLP/ NLU conferences or workshops are a plus. Relevant open-source contributions are a plus. Perks & Benefits Medical Insurance: Excellent options and free online doctor consultations. Leave Policies: Yearly privilege and sick leaves as per Karnataka S&E Act, generous holidays (National and Festive) recognition and parental leave policies. Learning & Development fund to support your continuous learning journey and professional development. Fun events to build culture across the organization. Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.). Qualification : Bachelors or Masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU

Position: AGV Technical Specialist Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities AGV Design & Development Lead the design and development of AGV systems, including electrical, electronics, and navigation systems. Design, implement, and troubleshoot **line follower, inductive, RFID, and SLAM (LiDAR)** based navigation systems. Develop and apply communication protocols for **multi-AGV coordination**. Component Selection & Interface Select and interface **safety PLCs, standard PLCs, area scanners, servo motors**, and other AGV components. Hands-on experience with the programming and integration of various hardware components in AGV systems. AGV System Architecture Design and implement **multi-AGV architecture**, ensuring scalability and efficiency. Independently manage AGV platform functions such as **scheduling, health monitoring, and fault management**. Optimize the AGV platform to meet specifications and performance requirements while exploring innovative solutions for indigenization. Peripheral Equipment Integration Manage the integration of peripheral equipment with AGVs and ensure seamless communication. End-to-End Responsibility Oversee the complete AGV design and deployment lifecycle from the control perspective. Ensure the full transition from requirements design to commercial deployment, including coding, testing, and debugging system software. Review and validate new product designs and provide post-production support. Innovation & Documentation Apply innovative design thinking to develop and document AGV solutions. Create layouts, drawings, and implement designs through software or web portals. Prepare and review BOMs, wiring diagrams, and cost estimates for AGV solutions. Skills & Expertise Core Skills Vehicle control system design (essential). Proficiency in Python, C, C++ (essential). Expertise in vehicle-to-base station communication. Strong knowledge of vehicle odometer control. AGV-Specific Skills In-depth experience with **AGV navigation**, including **SLAM, LiDAR, RFID, and inductive systems**. Experience with **safety PLC, PLCs, area scanners, and servo motors** integration. Familiarity with AGV scheduling, fault management, and health monitoring systems. System Integration Expertise in integrating sensors and other vehicle components in AGVs. Familiarity with developing and deploying solutions in an **IIoT/Cloud platform** environment (good to know). Communication & Documentation Strong verbal and written communication skills for customer interaction and requirements gathering. Experience in creating **BOMs, wiring diagrams**, and supporting deployment efforts. Qualifications Essential: BE in Mechatronics, Computer Science, Mechanical Engineering, or equivalent. Experience: 5-6 years of experience in AGV design and development, with a strong understanding of vehicle controls, communication protocols, and multi-AGV systems. Qualification : BE in Mechatronics, Computer Science, Mechanical Engineering, or equivalent

Position: Product Manager Growth Location: Bengaluru Employment Type: Full-Time About Zolve Zolve is the world s first **cross-border neo-bank**, enabling migrants and global citizens to access financial products such as credit, checking accounts, insurance, and loans based on their home-country credit score. By breaking geographical barriers, Zolve empowers users to navigate the world freely, offering seamless access to financial services across countries. As we continue to expand, we are looking for a strategic Growth Product Manager to drive initiatives that scale **user acquisition, engagement, and retention**. Role Overview The Growth Product Manager will lead **product-led growth** initiatives, leveraging data, experiments, and cross-functional collaboration to scale impactful features. This role requires a strategic thinker with hands-on execution skills, capable of **optimizing product funnels**, improving retention, and driving measurable growth. Key Responsibilities Growth Strategy & Execution Define and own the growth strategy across **acquisition, engagement, and retention**. Identify and prioritize high-leverage growth opportunities using analytics, user research, and market insights. Track industry shifts, competitor moves, and emerging technologies to infuse fresh ideas. Product Optimization Design and optimize **growth levers**, including onboarding funnels, referral programs, cross-sell/upsell flows, and engagement loops. Run **A/B and multivariate experiments**, deriving insights to boost conversion, reduce churn, and scale adoption. Elevate product thinking internally through PRD reviews, assumption challenges, and growth metric refinement. Metrics & Analytics Own critical **KPIs** such as **activation, retention, DAU/MAU, LTV, and ARPU**. Turn quantitative and qualitative insights into actionable strategies to improve product performance. Cross-Functional Leadership Collaborate with engineering, design, marketing, and executive teams to align growth initiatives with company objectives. Communicate effectively, presenting **data-driven business cases** and influencing stakeholders across levels. Qualifications Education: Bachelor s or Master s degree in Marketing, Business Administration, or related field. Certifications in Google Ads, Facebook Blueprint, or similar are a plus. Experience: **6 8 years of Product Management experience** with a strong growth focus, ideally in **fintech, consumer tech, or data-driven startups**. Proven track record of launching, scaling, and optimizing products with measurable growth outcomes. Hands-on experience with **A/B testing and analytics tools (SQL, Mixpanel, Amplitude, GA, etc.)**. Strong understanding of fintech business models, growth metrics, and regulatory dynamics. Skills & Competencies: Exceptional **problem-solving, prioritization, and execution skills**. Ability to influence and align cross-functional teams, from engineers to executives. Excellent communication skills, with the ability to craft and present compelling business cases. **Entrepreneurial mindset** with high ownership, bias for action, and comfort in fast-paced environments. Qualification : Bachelors or Masters degree in Marketing, Business Administration, or related field

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Position: Marketing Manager / Deputy Manager Type: Full Time Experience: 8 10 Years Location: Bangalore Role Purpose To lead integrated marketing efforts that drive lead generation, customer engagement, and sales enablement across digital platforms, marketing automation systems, and sales operations. This position is crucial in aligning marketing initiatives with sales productivity, ultimately boosting market share and customer reach for the organization. Key Responsibilities Market Analysis & Product Communication Conduct competitive benchmarking, market research, and customer insight gathering for the concrete equipment sector. Develop technical marketing collateral and product content in collaboration with Product Management & Engineering teams. Create newsletters, mailers, and presentations aligned with brand guidelines to support sales efforts. Sales Operations Support Partner with Sales teams to improve CRM usage, lead tracking, and pipeline visibility. Enhance customer journey mapping and conversion processes with sales and product teams. Analyze sales data for trends, opportunities, and engagement gaps. Support the design and implementation of sales enablement tools and mobile sales apps. Digital Marketing & Lead Generation Run and optimize SEO, SEM, and paid media campaigns to increase inbound leads. Manage digital presence across social media, email, and landing pages. Drive performance from platforms like IndiaMART and apply corrective actions where needed. Marketing Automation & Tools Implement and manage platforms such as HubSpot, Zoho Marketing Plus, Salesforce Marketing Cloud, or Marketo. Automate campaigns, lead scoring, and segmentation to enhance efficiency. Track campaign performance and optimize for improved ROI. Events, Exhibitions & Campaigns Plan and execute industry event participation (e.g., EXCON, BAUMA, Concrete Show) in coordination with marketing leadership. Support product launches, roadshows, BTL activities, and customer meets. Oversee vendor coordination and logistics for successful event execution. After-Sales Marketing & Customer Engagement Partner with After-Sales and Parts teams to roll out service campaigns, loyalty programs, and feedback initiatives. Design post-sale campaigns and customer health check content to maintain engagement. Reporting & Analytics Maintain dashboards to track digital, lead conversion, and sales enablement KPIs. Ensure CRM data hygiene and provide actionable insights. Assist with marketing budgeting and monthly expense tracking. Desired Skills & Competencies Strong B2B marketing background, preferably in industrial or capital goods sectors. Proficiency in CRM platforms (Salesforce, Zoho CRM) and marketing automation tools (HubSpot, Marketo). Excellent content creation skills for technical and product marketing. Strong analytical mindset with data-driven decision-making. Effective collaboration with cross-functional teams. Experience with SEO tools, Google Analytics, and LinkedIn Campaign Manager. Educational Qualifications MBA/PGDM in Marketing, Sales, or Business Analytics from a reputed institute. Preferred Industry Background B2B Industrial, Capital Goods, Construction Equipment, or Automotive Components. Qualification : MBA/PGDM in Marketing, Sales, or Business Analytics from a reputed institute

Position: Electrical Engineer Location: Bengaluru, Karnataka, India Reporting To: Project Manager Industry: Semiconductor / Automation Qualifications: Education: Bachelor of Engineering (BE) in Electrical Engineering (Mandatory) Experience: 2 to 5 years in related fields (Control Panels, Power Calculations, Circuit Breakers) Software: Proficient in AutoCAD Electrical 2018 or later Candidate Profile: Preferably from Semiconductor Industry or Automation Sector. Hands-on experience in electrical design and control panel schematics. Essential Skills and Experience: Minimum 1 year experience creating detailed point-to-point schematics for Control Panels, Motor Control Centres, Power Distribution Panels. Minimum 2 years of electrical design experience including: Power calculations Component selection Schematic and Bill of Materials (BOM) creation I/O list creation Wire, cable, and harness selection/design Sensor selection (voltage, current, arc, temperature, etc.) Working knowledge of circuit components such as circuit breakers, contactors, relays, protection relays, push buttons, indicators, connectors, terminal blocks, cable routing accessories, and sensors. Desirable Skills: Familiarity with various process sensors: pressure, vacuum, flow, distance, displacement, proximity, limit, rotary and linear position sensors. Knowledge of EMI/EMC principles and panel design. Working knowledge of motor control systems. Responsibilities: Conduct professional electrical engineering research, design, development, modification, and testing related to electrical systems and power distribution/generation. Collaborate with a multidisciplinary engineering team (electrical, mechanical, software, technical support, productivity engineers, suppliers) on design and modifications. Maintain and develop process checkpoints to ensure compliance with design standards and project schedules. Drive process improvements in collaboration with leadership peers. Create electrical schematics and systems based on requirements; generate and release engineering drawings and BOMs. Assist in developing and refining functional specifications for electrical systems and power distribution. Qualification : Bachelor of Engineering (BE) in Electrical Engineering (Mandatory)

Job Title: Research Associate Solutioning Location: Bengaluru, Karnataka, India Department: DAC Qualification: Bachelor s in Engineering, Technology, or equivalent technical field Experience Required: 3 6 years About TheMathCompany TheMathCompany (MathCo ) is a global Enterprise AI and analytics firm that empowers Fortune 500 and Global 2000 enterprises to make smarter, faster decisions through cutting-edge data-driven solutions. Founded in 2016, we bridge the gap between business objectives and AI adoption through NucliOS, our proprietary platform designed to accelerate AI adoption via modular, scalable components. We believe in a culture of transparency, innovation, and collaboration, enabling our people Mathemagicians to grow beyond roles, create meaningful impact, and Leave a Mark. Role Overview As a Research Associate Solutioning, you will be a key contributor to strategic pre-sales and solution design initiatives. This role blends technical depth with consultative storytelling to help craft compelling, client-focused analytics solutions. You will be the go-to expert bridging business goals with AI/ML capabilities, working alongside Sales, Delivery, and Customer Success teams to convert opportunities into impactful engagements. Key Responsibilities Act as a technical subject matter expert in sales and solutioning conversations, supporting client acquisition with business and technical insights. Co-develop tailored proposals, RFPs, and solution roadmaps in collaboration with cross-functional teams. Translate complex business challenges into actionable analytics use cases and scalable AI/ML solutions. Design and present proof-of-value (PoV) concepts, dashboards, and solution architectures using tools like Power BI or Figma. Engage C-suite stakeholders, technical teams, and business leaders to gain buy-in and communicate value. Stay ahead of emerging trends in AI, data science, and industry-specific analytics applications (e.g., CPG, Retail, Pharma, Tech). Partner with Customer Success to collect feedback and continuously enhance solution offerings. Evangelize analytics adoption and drive transformation through strategic storytelling and clear, data-backed communication. Required Skills & Experience 3 6 years of experience delivering analytics-led, AI-driven solutions in a consultative or enterprise environment. Deep understanding of machine learning algorithms (e.g., regression, classification, neural networks, Bayesian models). Strong communication skills both written and verbal with experience creating impactful solution presentations and client deliverables. Demonstrated experience leading cross-functional teams including data scientists, product designers, and business analysts. Fluency in data analytics tools and storytelling frameworks; ability to influence through well-designed decks or dashboards. Domain expertise in one or more industries: CPG, Retail, Pharma, or Technology. Strong organizational skills, able to manage multiple priorities in a fast-paced, deadline-driven environment. Preferred Qualifications Bachelor's degree in Engineering, Statistics, Computer Science, or a related technical discipline. Candidates from non-technical backgrounds with relevant work experience and demonstrable technical proficiency are also welcome to apply. Hybrid Innovation Model: Combine enterprise-grade AI with practical business outcomes. NucliOS Platform Access: Work with one of the most advanced AI solutioning platforms in the industry. Culture of Growth: Transparent, feedback-driven, and meritocratic work culture. Impactful Work: Collaborate with global clients on meaningful problems that shape industries. Qualification : Bachelor's degree in Engineering, Statistics, Computer Science, or a related technical discipline.

Senior Software Engineer Build & Release (5+ Years) | Bangalore Location: Bangalore Experience Required: 5+ Years Job Type: Full-time About the Role We are seeking an experienced Senior Software Engineer (Build & Release) to join our engineering team in Bangalore. In this critical role, you will lead and optimize our build automation, release management, and configuration processes, ensuring that software products are delivered efficiently, reliably, and at scale. You ll work closely with developers, QA, and operations teams to create a robust CI/CD pipeline and streamline the overall software delivery lifecycle. Key Responsibilities Design, implement, and manage automated build and deployment pipelines. Develop and maintain tools for build, packaging, and release management. Troubleshoot and resolve build failures, deployment issues, and release-related bugs. Monitor, document, and improve build performance and packaging efficiency. Create internal tools and scripts to enhance packaging and automation processes. Collaborate with cross-functional teams to integrate release pipelines into CI/CD workflows. Ensure quality assurance by performing build validations and release testing. Maintain a version-controlled repository for all configuration items across projects. Generate build reports, status dashboards, and performance metrics. Research and implement best practices in DevOps and release engineering. Required Technical Skills Strong hands-on experience with Visual Studio, TFS Source Safe, SQL Server, C#, and MSBuild. Proficiency in CruiseControl or other CI/CD tools. Knowledge of web server configurations, especially IIS. Solid foundation in build scripting, automation, and source control systems. Strong understanding of software development lifecycle (SDLC) and release methodologies. Preferred Skills Experience designing and maintaining CI/CD pipelines in a Microsoft-centric environment. Familiarity with DevOps practices, infrastructure automation, and continuous delivery. Exposure to build monitoring tools, automated test setups, and rollback mechanisms. Experience working in Agile/Scrum environments. Qualifications Bachelor s or Master s Degree in Computer Science, Information Technology, or a related field. Minimum 5 years of experience in Build & Release Engineering, with a background in software development and configuration management. Who You Are A detail-oriented engineer with a passion for automation and process improvement. A team player who believes in collaboration and cross-functional communication. A problem-solver with strong analytical and troubleshooting skills. Committed to continuous learning and growth in the field of DevOps and release management. Flexible working hours Continuous learning & development opportunities Medical and insurance benefits Supportive, growth-oriented work culture About In4Velocity Founded in 2004, In4Velocity is a leading technology provider for real estate, construction, and infrastructure companies. Our flagship product, In4Suite , is a powerful platform that digitizes real estate operations end-to-end, offering a unified solution that integrates buy-side, sell-side, and internal workflows. Used by clients across the globe, In4Suite empowers developers with actionable insights, a strong Business Intelligence engine, and seamless process management setting new benchmarks in real estate technology. Apply now and accelerate your career with In4Velocity. Qualification : Bachelors or Masters Degree in Computer Science, Information Technology, or a related field.

Job Title: Machine Learning Engineer III Location: Bangalore, India Company: Glance An InMobi Group Company About Glance Founded in 2019, Glance is a cutting-edge consumer technology company operating innovative digital platforms including Glance, Roposo, and Nostra. Our flagship Glance Lock Screen reaches over 450 million smartphones worldwide, delivering personalized, context-driven content without requiring app downloads. Roposo redefines live streaming experiences with creator-led interactive content, and Nostra stands as the largest gaming platform in India and Southeast Asia, offering immersive gaming and social engagement. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group. At Glance, we believe in empowering you to dream big, innovate boldly, and own your impact from day one. Collaborate with talented peers on mission-critical projects leveraging bleeding-edge technology to disrupt consumer experiences. Enjoy perks including daily meals, gym access, training sessions, state-of-the-art tech tools, and a family-friendly workspace where your kids and pets are always welcome. Role Overview We are seeking a skilled Machine Learning Engineer III passionate about designing, developing, deploying, and scaling high-impact ML solutions. You will partner closely with data scientists, engineers, and product teams to build end-to-end ML systems, microservices, and APIs that power AI-driven products on Glance s platforms. Key Responsibilities Architect and implement scalable ML solutions to accelerate experimentation, model building, and deployment. Develop microservices and APIs for serving machine learning models and services efficiently. Design, prototype, and build new ML/AI products and proof-of-concepts in collaboration with cross-functional teams. Explore and adopt new platforms, algorithms, and technologies to enhance ML capabilities. Manage project priorities, deadlines, and deliverables while maintaining transparent communication across teams. Take ownership of end-to-end ML engineering lifecycle from research collaboration to production deployment. Preferred Qualifications 5+ years of professional experience as a Machine Learning Engineer with a proven track record of delivering impactful ML solutions. Bachelor s, Master s, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields. Deep theoretical and practical knowledge of recommender systems, computer vision (CNNs), GPU optimization, and generative AI models. Proficiency in Python, Golang, Spark, and familiarity with popular data science and ML libraries. Strong background in advanced mathematics, statistics, and algorithmic problem solving. Excellent technical documentation skills and demonstrated leadership in driving cross-functional projects. Experience working in data science or research-oriented roles with a passion for solving complex challenges. Join Glance and contribute to building next-generation AI-driven consumer experiences. Apply now to be part of a visionary tech team in Bangalore! Qualification : Bachelors, Masters, or PhD degree in Computer Science, Mathematics, Statistics, or related analytical fields.

Senior Research Specialist Location: Bengaluru, Karnataka, India Department: Sales & Solutioning Experience: 6 9 Years Employment Type: Full-Time About CloudSEK CloudSEK is a fast-growing, AI-powered cybersecurity company on a mission to make the digital world safer through contextual threat intelligence. With industry-leading platforms like XVigil, BeVigil, and SVigil, we help global enterprises proactively identify and respond to digital threats. Headquartered in Singapore with a strong presence across India and Southeast Asia, we are proud to be recognized for our innovation and rapid growth in the cybersecurity domain. Role Overview: Senior Research Specialist (Sales & Solutioning) We are looking for an experienced and analytical Senior Research Specialist to join our Solutioning Team. This hybrid role combines technical expertise, client engagement, and team leadership. You will lead solution design for complex data engineering needs and directly contribute to shaping scalable architectures, ETL frameworks, and modernization strategies. Your work will directly support sales efforts, proposal development, and solution delivery making you a critical bridge between technical execution and business strategy. Key Responsibilities Solution Design & Research Lead technical discovery sessions to understand client needs, pain points, and opportunities. Review and guide research efforts, validating solution strategies proposed by the team. Design scalable and realistic end-to-end data engineering roadmaps with cross-functional alignment. Evaluate technologies, cloud platforms (AWS, GCP, Azure), tools, and architectures for each engagement. Support proposal creation, RFP responses, and client presentations by crafting engaging, value-focused narratives. Client & Stakeholder Engagement Act as a technical advisor to prospective clients, articulating solutions in a business-relevant context. Translate complex data engineering challenges into easy-to-understand presentations and documentation. Collaborate with internal teams sales, delivery, data architects, and domain experts to co-create tailored solutions. Team Mentorship & Enablement Mentor a team of solution engineers; promote collaboration, learning, and delivery excellence. Provide leadership during pitch cycles and client interactions, fostering a high-performance, agile culture. Oversee quality and consistency across solutioning documentation, storyboards, demos, and technical narratives. Must-Have Qualifications Bachelor s or Master s in Engineering, Computer Applications, Mathematics, or Statistics. 6 9 years of experience in solutioning, data engineering, or technical consulting. Proven experience working with cloud ecosystems: AWS, Azure, or GCP. Strong research and analytical capabilities to evaluate tools, strategies, and solutions. Hands-on experience in designing and communicating data engineering solutions. Comfortable interacting with clients and translating requirements into executable plans. Excellent communication and presentation skills for technical storytelling. Nice-to-Have Skills Experience in proposal design, storyboarding, and client demos. Team leadership or experience managing solution engineers. Exposure to sales engineering, pre-sales consulting, or customer success. Familiarity with cybersecurity or digital risk platforms is a bonus. Mission-Driven Work: Shape cutting-edge, high-impact solutions for cybersecurity and data intelligence. Collaborative Culture: Work in a high-energy, fast-paced, and innovation-focused environment. Personal Growth: Take on diverse challenges with support for continuous learning and leadership development. Flexible Environment: Enjoy work-life balance with flexible hours and a creative workspace. Qualification : Bachelors or Masters in Engineering, Computer Applications, Mathematics, or Statistics.

Product Design Manager Location: Bangalore, India Full Time Company: Meta Meta s Enterprise Products team is on a mission to create innovative experiences that empower employees and transform how we work. We are seeking a seasoned Product Design Manager in Bangalore to lead a talented design team focused on delivering best-in-class enterprise-level solutions that drive meaningful business outcomes. This role demands a proven leader with a strong track record of designing enterprise products, shaping strategy, and mentoring multidisciplinary teams. As part of the leadership team, you ll collaborate cross-functionally with product, engineering, UX research, content design, and data science to craft impactful, human-centered design solutions for Meta s internal products and systems. Key Responsibilities: Lead, mentor, and grow a high-performing team of product designers while fostering a culture of design excellence, collaboration, and inclusivity. Define team goals, align design resources to the highest priority projects, and ensure delivery of exceptional design work across enterprise products. Translate organizational goals into actionable product design opportunities and align team direction with cross-functional stakeholders. Maintain a high bar for visual and interaction design quality across the design lifecycle from discovery and strategy through delivery. Individually contribute to strategic initiatives involving complex, ambiguous problems and emergent product opportunities. Collaborate with product managers, engineers, UX researchers, and data scientists to ensure product solutions are grounded in user needs and business goals. Communicate clearly and effectively with senior leadership and executive stakeholders. Minimum Qualifications: 10+ years of experience in product design, with a focus on complex digital systems or enterprise tools. 5+ years of leadership experience managing and developing product design teams. Strong ability to drive product strategy and translate it into high-impact design work. Experience navigating large, matrixed organizations and working cross-functionally with technical and non-technical teams. Excellent communication and presentation skills, with experience influencing executive stakeholders. Preferred Qualifications: Experience working with distributed teams across multiple geographies. Background in designing for enterprise-level applications or internal business tools. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. From Facebook and Instagram to WhatsApp and Messenger, we empower billions around the world. We re now moving beyond 2D screens into the future of digital experiences through AR, VR, and immersive technologies. Join us as we shape the next chapter of human connection. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy or related medical conditions), sexual orientation, gender identity or expression, age, veteran status, disability, or other legally protected characteristics.

Software Engineering Manager, Machine Learning Location: Bangalore, India Full Time Company: Meta Meta s Enterprise Product Applied Research team is at the forefront of developing transformative AI-driven products. We leverage cutting-edge AI technology to make Metamates more productive, improve the quality of their work, and challenge the limits of what AI can do. As a Software Engineering Manager in this team, you will help shape the future of Meta s enterprise operations, build innovative machine learning systems, and manage a team of talented engineers to deliver on high-impact projects. Key Responsibilities: Lead multiple teams to deliver projects with increasing dependencies in high-impact or ambiguous areas. Work with your team and cross-functional partners to define and influence strategy. Drive the creation and execution of roadmaps for machine learning products. Collaborate with various functions, engineering teams, and partners to drive initiatives and impact at an organizational level. Participate in technical design and ensure high standards for system architecture and implementation. Measure the impact of your team, set clear expectations, and drive performance through effective people management. Partner with leadership to influence organization design, prioritization, and resource allocation. Minimum Qualifications: 5+ years of software engineering experience, with hands-on technical management in large-scale systems, algorithms, and tools within the machine learning domain. 5+ years of coding experience in one of the following languages: C++, Java, Python, or PHP. BS/MS in Computer Science or a related discipline, or 4+ years of work experience in lieu of a degree. Demonstrated experience recruiting and managing technical teams, including performance management. Strong technical skills combined with effective people management abilities. Experience supporting and scaling machine learning teams and systems. Subject matter expertise in machine learning technologies and practices. Commitment to staying in the same team in India for a minimum of 24 months before being eligible for transfer. About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. Since launching Facebook in 2004, we ve revolutionized how people connect. Our apps, including Messenger, Instagram, and WhatsApp, have empowered billions worldwide. Now, we are moving beyond 2D screens toward immersive experiences in augmented and virtual reality, creating the next evolution in social technology. At Meta, you will help shape a future where digital connection transcends the limitations of screens, distance, and even the rules of physics. Equal Employment Opportunity: Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Qualification : BS/MS in Computer Science or a related discipline, or 4+ years of work experience in lieu of a degree.

Machine Learning Engineer 5 Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is transforming the world through digital experiences. From individual creators to global enterprises, our tools empower everyone to create stunning visuals, videos, applications, and more. We believe in fostering an inclusive and innovative workplace where ideas can come from anyone, anywhere and the next big breakthrough could be yours. The Opportunity Adobe Express enables users from beginners to professionals to design eye-catching content with ease, powered by advanced AI technologies. At the heart of this mission is the AI Foundations team, which is building modular, reusable AI systems and the Horizon AI Stack to supercharge the Adobe Express experience. As a founding member of this elite team, you will tackle strategic AI challenges and deliver scalable, high-impact solutions. What You ll Do Drive the vision and development of reusable, cloud-scale AI systems for Adobe Express. Collaborate with Adobe Research, Applied AI teams, and engineering stakeholders to align AI capabilities with product strategy. Lead all aspects of ML product development: data pipelines, model development, and quality evaluations. Recruit, mentor, and manage a high-performing team of ML engineers and data scientists. Balance cutting-edge research with business-critical deliverables prototyping new ideas, validating, and scaling them. Foster a culture of innovation, experimentation, and scientific rigor focused on solving customer problems. Ensure engineering excellence in architecture, development, and on-time delivery of AI solutions. Basic Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field. 8+ years of industry experience in machine learning, deep learning, or optimization algorithms. 3+ years of experience managing ML/AI teams in a product-focused environment. Preferred Qualifications Experience working in creative tools, design platforms, or imaging domains. Familiarity with LLMs, Diffusion Models, and generative AI techniques. Proven experience in building large-scale, production-grade ML systems. What You Need to Succeed Demonstrated success in building and managing top-tier ML teams that deliver high-quality solutions. Experience shipping widely adopted AI-driven features to large customer bases. Customer-obsessed with a strong product sense and ability to translate user needs into AI capabilities. Outstanding communication skills able to articulate technical ideas to both technical and non-technical audiences. Strong problem-solving, leadership, and strategic decision-making abilities. Work at the intersection of creativity and AI building technologies that empower millions of users globally. Collaborate with world-class researchers and engineers in a mission-driven, inclusive environment. Enjoy robust career growth, leadership opportunities, and excellent employee benefits. Adobe is proud to be an Equal Opportunity Employer. We believe diversity fuels innovation and we re committed to building an inclusive environment for all employees. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field.

Research Scientist Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is leading the way in transforming the world through digital experiences. From emerging creators to global enterprises, we empower everyone to bring ideas to life with powerful images, videos, documents, and applications across every platform. Innovation, creativity, and inclusivity are the cornerstones of our company culture where great ideas can come from anyone, anywhere. About Adobe Research Adobe Research is one of the world s premier industrial research organizations, where we invent the future of creativity, documents, and autonomous systems through cutting-edge AI and ML innovation. We blend academic excellence with product-focused impact, shaping how millions interact with Adobe s tools and platforms every day. Areas of Research Focus Natural Language Processing (NLP) Natural Language Generation (NLG) Human-Computer Interaction (HCI) and User Experience (UX) Computer Vision Deep Learning & Machine Learning Artificial Intelligence (AI) Image, Audio, Video, and Multimodal Data Processing Autonomic Systems and Computing Responsibilities Invent, design, and prototype breakthrough AI technologies for next-generation Adobe products. Identify emerging research areas and help shape Adobe s long-term research agenda. Publish your work in top-tier journals and conferences, establishing thought leadership in your field. Collaborate with leading academic institutions and global research communities. Partner with cross-functional teams of engineers, designers, and product managers to bring research innovations to production. Required Qualifications Ph.D. (preferred) or Master s degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical field. Proven research excellence with a strong publication record in top-tier conferences or journals. Strong experience in one or more of the following: machine learning, deep learning, NLP, computer vision, or multimodal data processing. Demonstrated ability to solve complex, open-ended problems and innovate under uncertainty. Proficiency in software development and modeling (e.g., Python, PyTorch, TensorFlow, etc.). Excellent communication skills, including scientific writing and presentation abilities. Preferred Qualifications (for Senior Roles) 7+ years of research experience in academia or industry. Experience leading research teams or initiatives with significant real-world impact. Collaborate with world-class scientists and thought leaders. Work on breakthrough research that has direct impact on Adobe products used by millions globally. Enjoy a creative and intellectually rich environment with the freedom to explore your ideas. Publish, present, and build your reputation in the global research community. Competitive compensation, excellent benefits, and flexible work culture. Adobe is an Equal Opportunity Employer committed to building a diverse and inclusive workforce. We welcome candidates from all backgrounds and experiences. Qualification : Ph.D. (preferred) or Masters degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical field.

Research Engineer Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 0-8 years Company: IBM Research India (IRL) Introduction: IBM Research is the innovation engine of IBM and is the largest industrial research organization in the world. With 12 labs across 6 continents and over 3200 researchers globally, we produce more patents daily than any other organization. At IBM Research India (IRL), we are shaping the future of computing in areas like AI, Hybrid Cloud, and Quantum Computing. Our work is at the forefront of breakthrough innovations in Foundation Models, AI systems, large-scale data engineering, and more. We are looking for top talent to join us in our exciting and dynamic projects, pushing the boundaries of innovation. As a Research Engineer, you will work on pioneering research and development in the most cutting-edge fields of AI and computing. Role Overview: The Research Engineer role at IBM India Research Lab (IRL) involves working on challenging, dynamic, and highly innovative projects in the fields of AI, machine learning, and data systems. Your responsibilities will span multiple areas including optimizing AI models for large-scale distributed systems, pre-training foundation models, and developing real-world use cases that leverage IBM s infrastructure and models. Key Responsibilities: Optimized Runtime Stacks for Foundation Models: Work on fine-tuning, inference serving, and large-scale data engineering for AI models. Focus on multi-stage tuning, reinforcement learning, inference-time compute, and preparing data for complex AI systems. Model Optimization Across Accelerators: Develop solutions to optimize models for multi-accelerator environments, particularly focusing on IBM s AIU accelerator. Work on compiler optimizations, specialized kernels, libraries, and tools to enhance model performance. Pre-training and Deployment of Foundation Models: Participate in pre-training language models and multi-modal foundation models. Work on distributed training procedures, model alignment, and creating pipelines for various tasks, including LLM-generated data pipelines. Research and Use Case Development: Develop and implement use cases that effectively leverage infrastructure and models to drive real-world value. Contribute to creating frameworks for human-data collection and deploying models on user-centric platforms. Required Education and Experience: Education: A Master s degree in Computer Science, AI, or related fields from a top institution. Experience: 0-8 years of experience working with modern ML techniques, including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, and inference optimizations. Technical Skills: Experience with big data platforms such as Ray and Spark. Experience with Pytorch FSDP and HuggingFace libraries. Proficiency in programming with Python or web development technologies. Mindset and Attitude: A growth mindset and pragmatic approach to problem-solving. Preferred Experience: Research Experience: Peer-reviewed research at top machine learning or systems conferences. Advanced Technical Skills: Experience working with pytorch.compile, CUDA, Triton kernels, GPU scheduling, and memory management. Open Source Contributions: Experience working within open-source communities, contributing to or developing open-source projects. Innovative Environment: Be at the forefront of technological innovation, working on cutting-edge projects in AI, quantum computing, and more. Global Impact: Work on projects that influence both academic research and commercial product development, making a global impact. Career Development: IBM offers abundant opportunities for learning and growth, with access to the latest technologies and research. Collaborative Culture: Work with a diverse team of world-class researchers and engineers in a collaborative, open-source-driven environment. Apply today and become a part of the team that s redefining innovation. Qualification : A Masters degree in Computer Science, AI, or related fields from a top institution.

Job Title: AI/ML Engineer (LLM-driven Products) Location: Bengaluru, Karnataka Experience: 3+ years Work Modality: Full-time (Work from office) Job Description: We are seeking an AI/ML Engineer to help develop LLM-driven products from the ground up. The ideal candidate will have a strong programming background and experience working with Transformer architecture to design cutting-edge AI systems. If you're passionate about implementing scalable AI solutions and driving innovation, we would love to have you join our team! As part of the team, you will work on transformer models like BERT, GPT, T5, and other small LLMs for Natural Language Processing (NLP) and Computer Vision tasks. You will have the opportunity to work on impactful AI solutions that are designed to scale globally. Key Responsibilities: LLM Product Development: Design and develop products powered by large language models (LLMs), ensuring they meet the technical requirements and scale for global deployment. Model Fine-tuning & Optimization: Fine-tune transformer models for tasks such as text classification, summarization, image generation, and recognition. Implement optimization techniques to accelerate model performance, including GPU optimization and model quantization. AI Solutions Implementation: Translate AI research into actionable product features, ensuring AI models are implemented effectively to solve real-world problems. Collaboration & Communication: Work closely with cross-functional teams to integrate AI models and solutions into larger products. Communicate complex technical concepts to non-technical stakeholders. Model Deployment: Deploy models using frameworks like Flask, FastAPI, or through cloud-based inference services. Data Preprocessing & Training: Engage in data preprocessing and feature engineering to improve the performance of AI models. Required Qualifications: Experience: 3+ years of hands-on experience in AI/ML, specifically working with Transformer-based models like BERT, GPT, T5, ViTs, or small LLMs. Technical Skills: Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. In-depth understanding of Transformer architecture and its applications in NLP (text classification, summarization) and Computer Vision (image generation, recognition). Experience in deploying models using frameworks like Flask, FastAPI, or cloud-based inference services. Familiarity with GPU acceleration, model optimization, and model quantization. Proficient in data preprocessing, feature engineering, and training workflows. Analytical Skills: Ability to independently analyze open-source code repositories and leverage existing models for further optimization. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Innovative Work Environment: Work on cutting-edge AI and machine learning solutions with the opportunity to shape innovative products. Career Growth: Opportunities to advance your career in AI/ML and work with a team of passionate professionals. Comprehensive Benefits: A benefits package designed to support your overall well-being and work-life balance.

Job Title: Software Engineer Role Overview: The Software Engineer is responsible for the development, maintenance, and optimization of software solutions and applications. This role involves applying scientific methods to analyze and solve software engineering challenges while contributing to research, design, development, and long-term maintenance. The position requires independent problem-solving skills, technical leadership, and collaboration with team members and stakeholders. Key Responsibilities: Software Development & Engineering: Designs, develops, and maintains software applications using industry best practices. Applies scientific methods to analyze and resolve software engineering problems. Ensures software quality, performance, and security through testing and optimization. Technical Leadership & Innovation: Exercises original thought and judgment in solving complex technical challenges. Leads software development activities, mentoring junior engineers when required. Drives innovation by proposing and implementing cutting-edge solutions. Collaboration & Stakeholder Engagement: Works closely with internal and external stakeholders to understand project requirements. Provides expert advice and recommendations proactively. Explains complex technical concepts to a variety of audiences to ensure clarity. Project & Process Management: Acts as a key contributor in complex software development environments. Assesses and adapts to project challenges, formulating innovative solutions. Manages costs and ensures profitability for specific projects or work areas. Maintains compliance with best practices in software design, development, and documentation. Continuous Learning & Professional Growth: Builds expertise in software engineering disciplines to meet industry standards. Creates informal networks and fosters a knowledge-sharing culture within and outside the team. Motivates and inspires team members to achieve technical and commercial goals. Required Skills & Competencies: Strong understanding of programming concepts, software design, and development principles. Ability to work autonomously with minimal supervision. Experience leading software development teams in a complex environment. Excellent problem-solving skills with a proactive mindset. Strong communication skills, capable of conveying technical concepts to diverse audiences. Ability to work under pressure while maintaining high-quality standards. This role provides an exciting opportunity to contribute to innovative software solutions while leading and collaborating with cross-functional teams.

Job Title: Software Engineer Role Overview: The Software Engineer is responsible for the design, development, maintenance, and optimization of software applications and solutions. This role involves applying scientific methods to analyze and solve software engineering challenges, contributing to research, design, and long-term development. The Software Engineer is expected to exercise independent judgment, collaborate with teams, and build expertise in software engineering disciplines. Key Responsibilities: Software Development & Engineering: Design, develop, and maintain software applications using industry best practices. Apply analytical and problem-solving skills to enhance system performance and security. Ensure high-quality, scalable, and efficient software solutions. Research & Innovation: Utilize scientific methods to analyze complex problems and develop innovative solutions. Stay updated with industry trends and emerging technologies. Contribute to the continuous improvement of software development methodologies. Collaboration & Stakeholder Engagement: Work closely with cross-functional teams, including developers, testers, and project managers. Participate in discussions on software design, architecture, and optimization strategies. Provide input and insights to enhance team performance and project success. Project Execution & Time Management: Manage tasks independently and deliver accurate, reliable results within set deadlines. Organize workload efficiently to meet mid-term project goals. Demonstrate accountability for assigned responsibilities and contribute to overall team objectives. Required Skills & Competencies: 1+ years of relevant work experience in software engineering. Strong understanding of programming concepts, software design, and development principles. Ability to work with minimal supervision, ensuring high-quality deliverables. Proficiency in problem-solving and decision-making based on situational understanding. Strong teamwork and communication skills to collaborate effectively with peers. This role offers an excellent opportunity for individuals looking to develop expertise in software engineering, work on diverse projects, and contribute to innovative software solutions in a dynamic and collaborative environment.