Generative Adversarial Networks Gans Jobs in Bengaluru

Product Manager Payments Location: Bengaluru Work Type: Full Time Experience: 2 6 years About Tazapay Tazapay is a leading fintech platform for cross-border businesses. We provide local and global collections, holding, and payouts across multiple markets. As we expand into the digital asset ecosystem, we are building comprehensive crypto and stablecoin payment solutions to meet the growing demand for blockchain-based cross-border transactions. About the Team At Tazapay, product development is highly collaborative, involving engineering, design, partnerships, legal, risk, operations, and go-to-market teams. The cross-border payment platform team owns the core features of Tazapay s Payment Platform, including Payins, Payouts, and crypto/stablecoin infrastructure. Role Overview As Product Manager Payments, you will lead the design, development, and launch of global payment rails across both traditional and crypto/stablecoin systems. You will ensure enterprises can successfully build and operate payment operations using Tazapay s platform, bridging fiat and digital asset ecosystems. Key Responsibilities Design and launch crypto/stablecoin payment flows, including digital wallet integrations, stablecoin/blockchain settlements, and multi-chain payment solutions. Drive feature development and market launches for stablecoins like USDC, USDT, and emerging stablecoins across blockchains such as Ethereum, Polygon, and Solana. Collaborate closely with engineering, legal, sales, support, and compliance teams throughout the product lifecycle to deliver seamless payment experiences. Integrate traditional banking rails with crypto payment options, providing merchants with unified access across all payment types. Navigate and ensure compliance with global crypto regulations, working with legal and compliance teams on AML/KYC, licensing, and emerging regulatory requirements. Use a data-driven approach to analyze blockchain transactions, payment metrics, and user behavior to optimize product performance. Who You Are Minimum Requirements 2 6 years of product management experience, with at least 2 years in fast-paced fintech or crypto startups. Hands-on experience with crypto/blockchain integrations, stablecoins, wallet connectivity, smart contracts, or digital asset payment systems. Deep understanding of stablecoin ecosystems (USDC, USDT, DAI, and algorithmic stablecoins) and their underlying mechanisms. Expertise in financial API design with experience in both traditional and blockchain/crypto API integrations. Strong technical understanding of blockchain fundamentals: transaction lifecycles, gas optimization, multi-chain architecture, and consensus mechanisms. Knowledge of crypto compliance requirements and emerging global regulatory frameworks (AML/KYC, licensing, etc.). Analytical mindset with ability to leverage blockchain and payment data to drive product decisions. Preferred Qualifications Degree in Computer Science, Engineering, Finance, or related field, with blockchain coursework or certifications. Proven track record of launching successful crypto/stablecoin payment products or features at scale. Hands-on experience with major blockchain networks, ecosystems, development tools, and integration patterns. Experience collaborating with crypto exchanges, wallet providers, or blockchain infrastructure companies. Qualification : Degree in Computer Science, Engineering, Finance, or related field, with blockchain coursework or certifications

Solution Engineer Experience: 3 5 Years Location: Mumbai About VuNet VuNet is a trailblazer in Business Journey Observability, leveraging Big Data and Machine Learning to transform digital experiences in the financial services sector. Our platform provides end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and enhanced user satisfaction. With over 28 billion digital transactions monitored monthly, we re already empowering leading banks and financial institutions to improve their digital operations, touching over 300 million users globally. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized in Forbes DGEMS 200 and by global analysts such as Gartner and Omdia. Your Role: Solution Engineer We are looking for a Solution Engineer who will serve as a trusted advisor for our customers, understanding their business needs and translating them into actionable solutions using our VuSmartMaps platform. You will collaborate closely with customers to optimize their business processes, IT landscape, and overall customer experience by leveraging advanced observability and analytics capabilities. As a Solution Engineer, you ll work across a diverse range of technologies, from applications and networks to databases and business domains. You ll be instrumental in ensuring that our solutions deliver measurable value, maximize ROI, and help customers gain deeper insights into their infrastructure and application performance. Roles & Responsibilities End-to-End Solution Design: Work across a broad range of infrastructure domains network, compute, storage, databases, applications, transactions, and business domains to design integrated observability solutions tailored to customer needs. Leverage Big Data & AI: Use the Big Data and AI-driven features of VuSmartMaps to provide insights into application performance, enhancing business outcomes and end-user experiences. Customer Collaboration: Engage with customer teams and stakeholders to understand their pain points, gather requirements, and design custom solutions and integrations. Solution Architecture & Validation: Develop detailed design documents for solutions and collaborate with internal engineering teams to validate and refine designs. Identify Critical Metrics: Analyze customer application architectures and transaction workflows to identify key touchpoints, critical metrics, and monitoring requirements. Business Insights & Recommendations: Use analytics to provide actionable insights and business recommendations, helping customers improve system performance and optimize workflows. Platform Implementation: Oversee the planning and execution of platform implementation at customer sites, ensuring smooth and successful deployment. Product Development Feedback: Work with the product team to develop new features, identify bugs, and address solution gaps based on customer feedback and your findings. Continuous Learning: Keep up to date with emerging technologies such as Big Data, NoSQL databases, Elastic Search, MongoDB, and DevOps practices, and apply these learnings to enhance our offerings. What You Bring Experience: At least 3+ years of experience in IT infrastructure, observability, or APM (Application Performance Monitoring). Infrastructure Expertise: Hands-on experience working with large-scale IT infrastructures, including applications, databases, networks, and transactions. Monitoring & Automation Tools: Experience with monitoring tools, automation platforms, and an understanding of observability principles. Scripting Skills: Proficiency in scripting (Python, Bash, or similar languages). Technology Familiarity: Knowledge or experience in technologies like Elastic Search, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, JMX, and related observability tools. Good to Have Certification: CKA (Certified Kubernetes Administrator) certification is a plus. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. As part of our team, you ll tackle some of the most exciting and complex challenges in the tech world, all while staying ahead of the curve with emerging technologies like Gen AI. Collaboration & Innovation: We re a team of passionate problem-solvers who thrive on collaboration, learning, and innovation. We embrace a high-trust, transparent workplace culture where you can take ownership, grow, and make a meaningful impact. Growth & Development: If you re excited to work with cutting-edge technology, drive real-world impact, and grow in your career, VuNet is the place for you. Benefits for You Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. Transparent and inclusive workplace culture that values high trust. Access to Gen AI and integrated technology workspaces. Career development programs to enhance your skills through continuous training and support.

Position: Senior/General Manager Corporate Development Location: Bangalore Department: Zetwerk Corporate About Zetwerk Zetwerk is the world s largest global manufacturing network for custom manufacturing, transforming digital designs into high-quality physical products. From simple steel pipes to complex aerospace components, we serve a broad range of industries from traditional sectors like Oil & Gas, Infrastructure, and Aerospace to modern ones such as Renewables, EVs, and Consumer Electronics. Through a network of 1,000+ manufacturing partners, Zetwerk offers advanced capabilities like CNC machining, 3D printing, plastic injection molding, and die casting supported by our proprietary Manufacturing Operating System (ZISO) that delivers real-time tracking, quality assurance, and end-to-end transparency. Why Join Zetwerk We are transforming the future of manufacturing with technology at our core. At Zetwerk, you ll work with ambitious, innovative teams and industry leaders, helping shape how the world builds. We offer you the platform to grow your career, make a tangible impact, and thrive in a collaborative, inclusive culture. Role Overview We are looking for a strategic and driven Senior/General Manager Corporate Development to join our high-performing team. You will lead initiatives that drive Zetwerk s long-term growth ranging from M&A evaluation to partnership development, international expansion, and IPO preparedness. This is a high-impact role with direct visibility to leadership and the opportunity to help shape Zetwerk s future. Key Responsibilities Mergers & Acquisitions (M&A): Identify and evaluate acquisition opportunities aligned with Zetwerk s strategic goals Conduct in-depth market research, financial modeling (DCF, comparables, ROI), and scenario analysis Lead due diligence across legal, financial, tax, and operational domains Create investment memos and board-level presentations Corporate Strategy & Development: Monitor industry trends and competitive landscapes to propose new strategic initiatives Assess expansion into adjacent markets (geographic or technological) Support post-deal integration, performance tracking, and synergy realization Collaborate with cross-functional teams and external stakeholders on deal structuring IPO & Strategic Finance Support: Drive IPO readiness initiatives including internal process improvement, governance, and documentation Assist with investor communications, benchmarking, and capital markets analysis Coordinate with finance, legal, and compliance teams to ensure audit and disclosure readiness Experience: 6 14 years in Corporate Development, M&A, Investment Banking, Private Equity, or related roles Education: MBA with CA/CFA/Engineering background preferred (flexible for exceptional candidates) Skills: Advanced financial modeling and valuation expertise Strong analytical, communication, and presentation skills Ability to lead multiple high-impact projects simultaneously Understanding of regulatory and compliance frameworks What Zetwerk Offers A high-growth environment with unparalleled learning and leadership opportunities A culture that values innovation, ownership, and collaboration Career advancement in a rapidly growing company redefining manufacturing Competitive compensation and performance-linked rewards A chance to be part of a once-in-a-lifetime journey building a world-class business Shape the future of global manufacturing with Zetwerk. Apply now and be part of the revolution. Qualification : MBA with CA, CFA, or Engineering preferred

Red Team Hacker / Pen Tester (Onsite, Bangalore) Who We Are ColorTokens We re on a mission to keep businesses running safe and sound even when cyber attackers try to mess things up. Our next-gen platform, ColorTokens Xshield , stops ransomware and malware from spreading sideways inside companies, so critical stuff stays locked down and working. We ve got mad skills in spotting and controlling traffic between all kinds of devices and users from your typical laptops to IoT and medical gadgets. That means we can slice and dice security zones to keep bad actors contained. Forrester calls us a Leader in Microsegmentation (Q3 2024), and we help global companies avoid big $$$ downtime. Our Vibe We re all about hustling with heart. You ll get to own your projects, work with smart teammates, and solve tough problems that actually protect people from kids in hospitals to entire cities. If you re driven, curious, and ready to make a real impact, you ll fit right in. The Gig What You ll Do Run epic red team ops that mimic real-world hackers trying to break in. Hack (ethically!) into networks, apps (web, mobile, APIs), and cloud setups to find weaknesses. Build your own scripts and tools to level up your tests and dodge detection. Team up with defenders (blue team) to boost how we spot and stop attacks. Write clear, no-fluff reports with proof-of-concept hacks and smart fixes. Keep your finger on the pulse of the latest threats and hacker tricks. Jump into purple teaming and adversary simulations to sharpen our edge. Bachelor s in Cybersecurity, CS, or you ve got real-world chops that match. 6+ years deep in red teaming, pentesting across web, APIs, infrastructure, and cloud. Pro with tools like Cobalt Strike, Metasploit, Nessus, Burp Suite, Nmap, and scripting (Python/PowerShell/Bash). Solid grasp of MITRE ATT&CK, threat modeling, and adversary emulation. Know Windows & Linux inside out, Active Directory, plus cloud platforms (AWS, Azure, GCP). Bonus points if you re into social engineering, phishing, or physical security. Skilled at writing docs that actually make sense. Must-have certifications: OSCP is a must; CRTP, OSCE, OSEP, CRTE, GPEN, GXPN are pluses. Qualification : Bachelor's degree in Cybersecurity, Computer Science, or related field (or equivalent experience).

Job Title: Founder s Staff Talent Management Location: Bengaluru Role Overview Between an idea and a product lies the organization that brings it to life. This role is pivotal in ensuring the seamless availability and alignment of human resources to drive the company s vision. As a foundational pillar of the organization, you will assist the founders in building and executing the Talent Management machinery, alleviating their burden by driving critical initiatives that foster organizational growth, culture, and productivity. Key Responsibilities 1. Talent Alignment Collaborate with founders to design and refine the alignment content and strategy, ensuring every new hire is not only recruited but deeply aligned with the organization s vision. Enhance and optimize the recruitment journey to double as an alignment experience from job descriptions and interviews to onboarding and induction. Structure and facilitate onboarding, induction, and orientation programs that deepen employee understanding of the organization and their role within it. Create awareness of inter-role dependencies and organizational impact by simulating scenarios reflecting role absence. 2. Thought Culture & Branding Champion CynLr s vision and culture, embedding critical thinking as a core organizational value. Design and execute programs that promote clarity, intellectual rigor, and awareness of CynLr s mission and breakthroughs. Shape and nurture a progressive culture that transcends formal policies, fostering behavior conducive to innovation and efficient outcomes. Reinforce alignment with core organizational fundamentals, minimizing distraction from market hype and transient trends. 3. Messaging and Communication Develop and maintain effective communication strategies ensuring clear reception of founder and organizational messages. Establish processes to reduce misinterpretation and enhance two-way communication. Drive initiatives to improve communication etiquette and promote engagement across diverse employee backgrounds. 4. Talent Strategy, Management & Productivity Maximization Assist founders in designing and implementing talent-related policies including remuneration, appraisal, and conflict resolution frameworks. Lead initiatives to ensure smooth adoption of policy changes and handle negotiations related to pay, perks, and titles. Optimize talent availability through policy enforcement and attendance management to maintain synchronous workforce presence. Track employee engagement, performance, and contribution, supporting appraisal and growth frameworks, including ESOP policies. Identify role gaps, measure role effectiveness, and mitigate market-driven organizational volatility. Conduct thorough exit interviews, ensuring compliance with contractual obligations and asset recovery. Build HR infrastructure by identifying and integrating tools, platforms, and vendor networks essential for efficient talent management. Skills & Experience Proven expertise in talent management, organizational alignment, and culture building within fast-growing startups or tech companies. Strong strategic thinking with a passion for translating vision into actionable talent initiatives. Excellent communication, facilitation, and interpersonal skills. Ability to handle sensitive negotiations and conflict resolution effectively. Demonstrated ability to build scalable processes and frameworks for talent acquisition, onboarding, and retention. Comfortable working closely with founders and leadership teams in high-impact roles. Preferred Qualifications Bachelor s or Master s degree in Human Resources, Organizational Psychology, Business, or a related field. Experience in early-stage startups or dynamic technology companies. Background in designing and implementing ESOP or equity-based remuneration frameworks. Experience with HRIS systems, talent management software, and vendor management. Qualification : Bachelors or Masters degree in Human Resources, Organizational Psychology, Business, or a related field.

Job Title: Senior AI Engineer Location: Bengaluru, Karnataka, India Department: GenAI Experience: 4.5 to 7 years Open Positions: 5 About the Role As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering). Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure projects align with overall business objectives and data strategies. Oversee data quality, integrity, and security in AI engineering projects. Build reusable frameworks to enhance the efficiency and scalability of AI systems. Manage client communications to translate requirements into technical outcomes. Identify skill gaps and create opportunities for professional development. Drive initiatives for improving data operations and AI delivery efficiency. Required Technical Skills 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions. Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming. Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering. Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. Proficiency with Databricks workflows, including job and cluster management, and API usage. Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques. Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development. Expertise in SQL optimization and database schema design. Experience deploying AI models using Docker and Kubernetes. Familiarity with version control using GitHub. Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments. Optional experience with PySpark for data processing. Basic understanding of CI/CD pipelines and deployment best practices. Required Non-Technical Skills Strong problem-solving ability with financial impact awareness in both team management and solution delivery. Excellent verbal and written communication skills, comfortable interacting with mid-level client management. Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly. Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening. Demonstrated leadership and mentorship capabilities. Self-motivated with a strong sense of ownership. Good to Have Familiarity with data visualization tools and techniques. Understanding of data security, privacy, governance, and compliance frameworks. Experience with graph databases and graph processing frameworks. Knowledge of data virtualization and federation methods. Skills in data profiling and data quality management. Education Bachelor s degree in Engineering, Computer Science, or a related field. Qualification : Bachelors degree in Engineering, Computer Science, or a related field.

Job Title: Associate Architect AI Location: Bangalore, India Employment Type: Full-Time, Regular Overview At Aptean, we design industry-specific ERP and business software that helps our customers transform operations and gain a competitive edge. With over 90 products, 4,500+ employees, and a global presence, we deliver solutions that are anything but generic. Now, we re building on that legacy by integrating cutting-edge AI into everything we do and we want you to be part of it. We are looking for an Associate Architect AI to play a key role in shaping Aptean s AI-first future. This is a hands-on, high-impact role focused on the design, development, and deployment of AI-powered solutions including smart chatbots, Retrieval-Augmented Generation (RAG) pipelines, predictive analytics, and autonomous AI agents. If you're passionate about solving real-world problems using the latest in LLMs, AI orchestration, and data automation we want to talk. Key Responsibilities Design and implement AI-led automation solutions, leveraging technologies like agentic AI and LLMs. Develop and refine structured prompts to improve AI model responses and contextual accuracy. Integrate Azure OpenAI and Microsoft Fabric AI Skills to enhance conversational AI in Fabric Lakehouse environments. Build and optimize RAG pipelines and semantic models for improved AI-driven content ingestion and understanding. Design prompts for AI agents, chatbots, and virtual assistants that automate business workflows. Research and implement best practices to minimize hallucinations, biases, and inconsistencies in AI-generated outputs. Collaborate on curating, cleaning, and preparing training datasets for machine learning models. Use Python and tools like LangChain to prototype and deploy AI-enabled solutions across multiple platforms. Monitor AI system performance, scalability, and business alignment; continuously iterate based on data and user feedback. Stay up to date with advancements in NLP, large language models (LLMs), and generative AI technologies. Qualifications Education: Bachelor s degree in Computer Science or related field (required) Master s degree (preferred) Experience: 8 12 years of experience in AI, machine learning, or data science roles Strong track record of delivering AI-driven solutions from concept to deployment Technical Skills and Competencies Hands-on experience with LLMs (e.g., GPT, Claude, Gemini, LLaMA) and AI APIs. Proficient in Python and ML frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn. Experience with Microsoft Fabric, Fabric AI Skills, and Lakehouse/Medallion architecture. Familiarity with OpenAI API, LangChain, Azure, JSON, Java, JavaScript. Strong foundation in NLP concepts, prompt engineering, and model behavior analysis. Experience developing and deploying chatbots across platforms like Microsoft Teams, SharePoint, and web portals. Understanding of statistical models (e.g., regression, clustering) and ML algorithms (e.g., decision trees, neural networks). Strong written and verbal communication skills; able to interpret and explain AI behavior clearly. Innovative thinker with a startup mindset. Comfortable in a fast-paced, collaborative environment. Passionate about AI and its transformative potential. Focused on real outcomes and user-centric design. At Aptean, we believe in growth through innovation, and AI is at the core of that vision. You'll work on high-impact projects that stretch your capabilities, in a company that values curiosity, collaboration, and continuous learning. If you're excited to lead in the age of AI, this is your moment. Diversity & Inclusion at Aptean Aptean is committed to building a workplace where everyone belongs. We value diversity in all its forms and believe our differences make us stronger. We strive to create an inclusive environment where everyone has the opportunity to grow, succeed, and contribute their best work. Qualification : Bachelors degree in Computer Science or related field (required)

Cyber Security Analyst Bangalore, India Location: Bangalore (Bengaluru) Experience: 4 to 12 Years Industry: IT Security / Cybersecurity Job Summary: We are seeking a highly skilled Cyber Security Analyst with advanced knowledge in cybersecurity principles, risk assessment, and threat prevention. The ideal candidate will have hands-on experience with security tools, network defense, vulnerability assessments, and malware analysis to safeguard our organization s digital assets. Key Responsibilities: Analyze and mitigate cyber and IT security risks using advanced techniques and best practices Conduct vulnerability assessments and penetration testing across networks, platforms, and applications Utilize scripting and programming languages such as Python, PowerShell, Perl, HTML, and JavaScript for automation and security analysis Monitor network security devices including firewalls, proxies, NIDS/NIPS, and respond to security incidents Perform dynamic and static malware analysis and memory forensics to identify and counter threats Conduct reverse engineering of malware and apply countermeasures based on adversary tactics and protocols Apply in-depth knowledge of network protocols, network security monitoring, and incident response Ensure compliance with security standards and frameworks Collaborate with cross-functional teams to implement security improvements and ensure robust defense mechanisms Required Skills & Qualifications: Minimum 4+ years of professional experience in cybersecurity or related IT security roles Advanced understanding of cyber threats, risk management, and prevention techniques Proficiency in security system analysis, network security, and vulnerability assessment tools Experience with malware analysis, penetration testing, and reverse engineering Strong programming/scripting skills in Python, PowerShell, Perl, or similar languages In-depth knowledge of security standards, protocols, and industry best practices Hands-on experience with network security monitoring and defense technologies Preferred Certifications: Technical cybersecurity certifications from recognized bodies such as SANS, ISACA (CISA, CISM), (ISC) (CISSP), CompTIA Security+, Cisco (CCNA Security), CERT, or equivalent Work in a challenging role protecting critical digital infrastructure Collaborate with a talented cybersecurity team to combat evolving threats Access to continuous learning, professional development, and certification opportunities

Role: Senior Analyst Data Engineering Location: Bengaluru, Karnataka, India Experience: 3 6 Years Employment Type: Permanent, Full-Time About the Role We are looking for a results-driven Senior Data Engineer to join our high-performing data team in Bengaluru. The ideal candidate will have 3 6 years of experience in data engineering, AI/ML implementation, and working with large-scale databases like Snowflake and Teradata. If you're passionate about driving data-powered insights, building scalable solutions, and applying advanced machine learning and AI techniques, we want to hear from you. Key Responsibilities Design, develop, and implement machine learning models to solve complex business challenges. Apply AI techniques, including generative AI, NLP, and computer vision, to improve analytics capabilities. Use Tableau, Power BI, and other tools to develop insightful, interactive data dashboards. Manage and optimize large datasets using platforms like Snowflake, Teradata, and SQL/NoSQL databases. Collaborate with business and technical teams to translate requirements into robust data engineering solutions. Guide junior data professionals and foster a culture of learning and innovation. Communicate analytical findings clearly to non-technical stakeholders. Stay current with the latest in data science, machine learning, cloud platforms, and big data technologies. Key Skills & Technologies Machine Learning & AI Techniques: Supervised & unsupervised learning, deep learning, neural networks Reinforcement learning, decision trees, random forests, clustering NLP, computer vision, GANs, transfer learning Data Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn, Plotly Programming Languages & Libraries: Python (essential), R, SQL TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy Databases & Data Management: Snowflake, Teradata, SQL/NoSQL, ETL, data lakes, data warehousing Cloud Platforms: AWS, Azure, Google Cloud Platform (GCP) Big Data Technologies: Apache Spark, Hadoop

Solution Architect Industrial Agents Location: Bengaluru Team: Global Strategic Services Architecture Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader transforming industrial operations with cutting-edge AI and data solutions. Our key offerings including Cognite Atlas AI and Cognite Data Fusion (CDF) help industrial companies solve complex problems, improve efficiency, and make data-driven decisions at scale. Recognized as the 2024 Microsoft Energy & Resources Partner of the Year and the 2022 Technology Innovation Leader for Global Digital Industrial Platforms, we are reshaping the future of digital transformation across sectors like Oil & Gas, Manufacturing, Chemicals, Pharma, and Energy. Our Values Impact: We focus on delivering meaningful, real-world outcomes. Ownership: We take responsibility, embrace inclusivity, and step outside our comfort zones. Relentless: We pursue innovation with energy and integrity never ruthless, always responsible. Role Overview As a Solution Architect Industrial Agents, you will lead the design and development of advanced AI agent frameworks built on Cognite Data Fusion, Atlas AI, and cutting-edge generative AI technologies. You ll enable clients to deploy intelligent agents that autonomously manage and optimize complex industrial systems. This role requires deep expertise in AI, multi-agent systems, and data integration, with a focus on building repeatable, scalable, and production-ready solutions. You ll work closely with engineering, product, customer success, and global delivery teams to ensure successful implementations that create real customer value. What You'll Do Architect robust, scalable solutions that integrate Cognite platforms with AI agent frameworks. Design multi-agent systems using technologies like LangChain to solve real-world industrial problems. Lead the development of Retrieval-Augmented Generation (RAG) systems and intelligent prompt engineering. Implement and optimize vector databases (e.g., Pinecone, Weaviate, Faiss) for advanced semantic search and retrieval tasks. Guide data modeling and integration using Python, SQL, REST APIs, and Cognite s SDKs. Provide technical leadership and mentor engineers across AI and platform teams. Work with cross-functional teams to define requirements, develop prototypes, and launch production-ready solutions. Stay ahead of AI trends especially in generative AI, agent orchestration, reinforcement learning, and time series analysis. Collaborate with product and delivery teams to shape Cognite s evolving AI product suite. What You Bring 10+ years in software engineering, including 5+ years in AI and 2+ years in generative AI or intelligent systems. Proven hands-on experience with multi-agent systems (especially using LangChain or similar frameworks). Strong grasp of RAG architecture, knowledge graphs, and graph databases (e.g., Neo4j, RDF). Proficiency in Python (must-have), and optionally JavaScript or Java. Experience in vector database architecture, embedding creation, and high-performance similarity search. Deep understanding of LLMs, fine-tuning techniques, and prompt engineering. Familiarity with cloud environments (AWS, Azure), CI/CD, Docker, and Kubernetes. Strong communication and stakeholder management skills. Experience with time series forecasting models (e.g., LSTMs, ARIMA, Prophet) and real-time anomaly detection. Industrial domain experience is a plus but not required. Why Join Cognite Be part of a global team of 70+ nationalities driving the industrial AI revolution. Enjoy a flat organizational structure with direct access to leadership and decision-makers. Thrive in a modern, collaborative, hybrid work environment based in Bengaluru. Work on some of the world s most ambitious digital transformation projects. Join a culture of ownership, creativity, and continuous innovation. If you re passionate about shaping the future of industrial AI through intelligent agent systems, we want to hear from you. Cognite welcomes applicants from all backgrounds and identities.

Data Scientist Location: Bengaluru Department: Global Strategic Services Data Science EMEA Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader harnessing AI and data to solve complex business challenges across industries such as Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy. Our flagship solutions include Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion (CDF) platform. Recognized as a 2022 Technology Innovation Leader and the 2024 Microsoft Energy and Resources Partner of the Year, Cognite is at the forefront of industrial digital transformation. Our Values Impact: We focus on meaningful results. Ownership: We take responsibility, foster inclusivity, and share success. Relentless: We pursue innovation with determination and resilience. Who You Are 3+ years of industry experience (or academic equivalent) in Oil & Gas, Manufacturing, or Power & Utilities, developing analytical solutions for production optimization, predictive maintenance, and related applications (e.g., well monitoring, event prediction, production planning). 1+ years serving as a domain expert on internal or customer projects. Proficient in Python and its data ecosystem (pandas, numpy), and ML libraries such as scikit-learn, Keras, etc. Skilled in data visualization tools like PowerBI, Grafana, Tableau, or web frameworks like Plotly Dash, Streamlit. Advocates for software best practices, including automated testing and documentation. Experienced with version control systems such as Git. Comfortable contributing to large-scale software projects. Pragmatic thinker able to balance short- and long-term tradeoffs. Trusted advisor on machine learning applications, with excellent communication skills for technical stakeholders and customers. Experienced mentor and quality assurer for junior team members. Cloud experience, including building streaming models and deploying serverless functions. Track record working across diverse industries. Eager to stay current with advances in generative AI and explore its practical applications for customers. Be part of a diverse global team with 70+ nationalities and a strong commitment to Diversity, Equality, and Inclusion (DEI). Work from our Bengaluru office (Rathi Legacy, Hoodi) in a modern hybrid environment. Benefit from a flat organizational structure with direct access to decision-makers. Collaborate on impactful, ambitious projects alongside talented professionals across industries. Engage with our community through internal HUBs and open conversations. Make an Impact Join Cognite and help transform industrial sectors by enabling better decisions through AI and data. We encourage candidates of all backgrounds to apply. If you re ready to grow and innovate with us, apply today!

Senior Frontend Engineer Atlas AI Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Product Engineering Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader innovating with AI and data to solve industrial challenges. Our products like Cognite Atlas AI and Cognite Data Fusion (CDF) enable transformational digitalization for Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy sectors. Award-winning and recognized globally, we are shaping the future of industrial operations. About Atlas AI Atlas AI aims to revolutionize manufacturing and energy operations by building an advanced framework of industrial AI agents. This initiative leverages Cognite Data Fusion s industrial data expertise and targets collaboration with industry leaders and strategic partners to drive impactful AI innovation. Your Role Join our co-innovation team as a Senior Frontend Engineer focused on building next-gen AI-driven industrial agent applications. Architect and develop modern, responsive web applications with React and TypeScript. Build full-stack generative AI solutions, focusing on AI agents and multi-agent systems powered by large language models integrated via Cognite Data Fusion. Collaborate with architects, data engineers, and domain experts to create scalable AI agent solutions. Implement software development best practices including Git workflows, CI/CD, and robust testing. Work directly with customers and stakeholders to co-innovate and align solutions with real business needs. Contribute to product strategy and technical decision-making. Your Experience & Skills 5+ years in product software engineering, ideally with a focus on Generative AI/ML applications. Strong frontend skills: React, TypeScript, JavaScript; full-stack experience including Python. Experience with multi-agent systems development, preferably using frameworks like LangChain. Knowledge of knowledge graphs and related tech (GraphQL, Neo4j). Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Experience with REST APIs, debugging tools, and software lifecycle best practices. Comfortable working with data formats (CSV, JSON, SQL) and databases like SQLite or SQL databases. Strong problem-solving, communication, and collaboration skills. Work in a vibrant, inclusive environment with 70+ nationalities and a strong DEI focus. Hybrid work mode from a modern office in Bengaluru with a culture that fosters impact and ownership. Direct access to decision-makers with minimal bureaucracy. Collaborate with top-tier talent on ambitious AI and industrial digital transformation projects. Engage actively in the Cognite community through HUB events and partnerships. Make an Impact Join Cognite to drive the future of industrial AI, creating innovative tools that empower industries worldwide. We welcome diverse candidates passionate about AI and frontend engineering.

Job Title: Computer Vision Location: Bengaluru, India Type: Full-time Roles and Responsibilities: Constantly research, prototype and build solutions to computer vision problems. Actively find new solutions that we can provide to industry-specific problems. Build prototypes to display new analysis and insight. Build new tools to streamline the overall process flow as requirements develop. Add new features to existing tools. Requirements: Strong command over all computer vision related use-cases, algorithms and approaches. Familiarity with Deep Learning frameworks such as TensorFlow (and keras), PyTorch, and strong experience in at least one of those. [Using Python programming language is a must.]. Familiar with different machine learning algorithms and when to use them. Strong math fundamentals in areas including but not limited to linear algebra and computational geometry. Ability to write clean, concise and well documented code. Familiar with version control, writing tests and writing documentation. Open to learning new technologies and languages. Comfortable working in a low monitoring/guidance environment. Strong sense of initiative, ownership, urgency and drive. Experience in training and applying CNNs on various datasets. Excellent organisational and leadership skills. Basically we re looking for people who are passionate about solving problems, and doing things the best way. If this is like you, we look forward to hearing from you. Years of Experience: 2- 8 years

About the Job Join us as a Generative AI Engineer, where you ll design and develop cutting-edge AI-powered solutions that redefine creativity and innovation. Your work will push the boundaries of what s possible in content generation, from text and images to audio and beyond. In this job, you will: Research & Development: Stay up-to-date with the latest advancements in generative AI and deep learning. Contribute to the development of novel models, exploring innovative algorithms and methodologies. Model Architecture: Design custom generative models using neural network architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and others tailored for specific applications. Data Processing: Prepare and preprocess large-scale datasets for model training. Apply techniques like data augmentation, normalization, and transformation to improve performance. Training & Optimization: Train generative models using frameworks like TensorFlow and PyTorch, optimizing for efficiency, speed, and quality. Hyperparameter Tuning: Fine-tune models for optimal performance, balancing convergence speed, stability, and output diversity. Evaluation Metrics: Develop metrics to assess the quality, diversity, and novelty of generated content. Continuously iterate and improve models based on these metrics. Deployment: Work with software engineers to integrate generative models into production systems, ensuring scalability, reliability, and performance. Collaboration: Partner with data scientists, machine learning engineers, designers, and product managers to translate business requirements into generative AI solutions. Documentation: Document research, experiments, and codebase thoroughly for internal use and external stakeholders. Continuous Learning: Stay informed on emerging technologies, attend industry events, and contribute to ongoing innovation. Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Engineering, or related fields. Strong foundation in machine learning, deep learning, and neural networks. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Hands-on experience with generative models like GANs, VAEs, and their practical applications. Solid understanding of data preprocessing, feature extraction, and model evaluation. Experience training and optimizing neural networks on large-scale datasets. Familiarity with cloud computing and distributed systems (AWS, Azure, GCP) is a plus. Strong problem-solving skills and a creative mindset. Excellent communication and teamwork abilities. A portfolio of generative AI projects or publications is a strong advantage. About Gramener We create software that tells data stories. For example: We advised a global computer manufacturer to focus on order delivery time, increasing NPS by 18% and generating incremental revenue of >$50M. We helped a foundation predict mosquito release points, reducing the process time from 3 weeks to 2 hours in their mission to protect 100M lives from malaria over 5 years. We re good at what we do, which is why we re growing 40% year-over-year. We re looking for passionate innovators to help us scale further. First-hand experience with C-suite-focused business advisory in data & analytics. Opportunities to collaborate with data science experts, domain champions, and client teams, being part of transformative change. A chance to experiment, take risks, and solve meaningful problems. Supportive colleagues and a dynamic environment you ll love working in. Key Metrics for Success Solution quality and business value delivered to clients. Successful project deliveries. Customer satisfaction on engagements. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Engineering, or related fields.

Job Summary We are looking for a motivated Remote Delivery Engineer to join our 24x7 Storage operations team and service our Cloud and Managed Services Customers. You will provide support to our customers by responding to incidents, working on service requests, problem management, and storage infrastructure improvements. Experience in supporting a varied clientele is essential, as is a strong understanding of NetApp storage-based technologies. To be successful in this role, you would need to have the following: Experienced in NetApp Storage (deploying and administering NetApp Storage primarily ONTAP, troubleshooting performance issues, performing firmware and operating system upgrades, using Storage management and OnCommand tools, managing storage/backup integration with NetApp Data Fabric technologies). Proficient understanding of NetApp Storage concepts, related management tools, and related Storage technologies, including monitoring and troubleshooting, administration, replication technologies, security hardening, and performance tuning. Experience or knowledge in other NetApp technologies like CVO, StorageGRID, E-Series, CVS, Cloud Backup, Cloud Secure, Cloud Sync, Cloud Datasense & Amazon FSx for ONTAP would be highly regarded. Experience with any automation tools would be preferred. Job Requirements Strong understanding of Storage protocols and technologies (CIFS, NFS, iSCSI, Fibre Channel switching and networks). Knowledge in ITIL methodologies: change, incident, problem, and configuration management. Certification is desirable. Understanding of managed services delivery and cloud certifications is desirable. A thorough understanding of other components in the infrastructure stack compute, virtualization, and networks (NetApp/Cisco FlexPod architecture, Cisco UCS platform, IBM Blade Center, System X, VMWare vSphere, Microsoft Operating Systems and Applications, Commvault). Working knowledge of monitoring platforms, WANs, SANs, backup, and disaster recovery platforms. Windows server, Linux server, and related Operating Systems technologies, including monitoring and troubleshooting, administration, replication technologies, security hardening, and performance, would be advantageous. Experience in writing basic PowerShell/Python scripts would be beneficial. Understanding of managed services delivery and any of the cloud certifications (AWS, Google Cloud, and Microsoft Azure) is highly desirable. Good to have Associate-level cloud certifications like AWS Certified Solutions Architect Associate, Google Associate Cloud Engineer, Azure Administrator. Good to have NetApp Cloud-based Certifications like Hybrid Cloud Administrator (NCHCA). Strong customer communication and documentation skills. Built and maintained strong relationships with internal and external stakeholders. Infrastructure design, build, deployment, and disaster recovery testing. Positive, proactive, team-oriented attitude with a flexible and innovative approach to work. Working knowledge of containers and microservices concepts. Experience in tools and technologies like OpenShift, Kubernetes, and Ansible would be beneficial. Education Typically requires a minimum of 8-10 years of related experience with a bachelor s or any master s degree or equivalent combination of professional education/training and applicable work experience. Work Environment At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.

Job Description Architects end to end system software for a specific technology, product/platform, or market segment, including software structure and bounding box, firmware, drivers, frameworks, cross component, interfaces/interactions/interoperability, protocols, algorithms, and applications. Responsible for pathfinding and providing the technical direction for software development and validation. Engages with customers on technical requirements/discussions and interacts with technologists across Intel and within the industry to evaluate feasibility of requirements and determine priorities for development. We are looking for a highly motivated and experienced Wi-Fi System Validation Architect to lead the design, planning, and execution of validation strategies for our Wi-Fi solutions. This role will involve working with cross-functional teams, including hardware engineers, firmware developers, product managers, and test teams, to ensure that the Wi-Fi products meet the highest standards of performance, reliability, and interoperability across various environments. As a Wi-Fi System Validation Architect, you will play a pivotal role in defining and implementing best practices for Wi-Fi validation, contributing to the development of next-generation Wi-Fi solutions (Wi-Fi 6, Wi-Fi 6E, Wi-Fi 7, etc.). Qualifications Qualification* Engineering degree in Electronics/Computer Science from a reputed college* 5 years of work experience in Systems Architect role* 10 years of work experience as in WiFi System Validation, Development and System Debugging* Proven track record of developing and executing complex system validation strategies for Wi-Fi products.* Architect test systems and validation environments that effectively simulate real-world use cases, environments, and customer scenarios.Technical Expertise* Deep knowledge of Wi-Fi technologies (Wi-Fi 5, Wi-Fi 6, Wi-Fi 6E, Wi-Fi 7), IEEE 802.11 standards, and Wi-Fi Alliance certification processes.* Deep knowledge and experience working in Omnipeek, Wireshark and IxChariot tools* Debugging, Analysis, reproduction and identification of root cause on Wi-Fi domains* Collaborate with Research and Development teams to identify design and performance gaps, providing technical feedback and proposing corrective actions.* Ensure that validation environments can effectively simulate diverse network conditions, traffic loads, interference scenarios, and client devices.* Design and implement system-level performance benchmarking and stress testing for various Wi-Fi configurations (e.g., access points, clients, mesh networks, etc.).* Champion a culture of continuous improvement, ensuring that the validation processes evolve to meet emerging technologies and market demands.* Experience with Wi-Fi chipset, access point, router, and client device architecture.* Proficiency in using Wi-Fi test equipment such as spectrum analyzers, signal generators, protocol analyzers (e.g., Wireshark, AirMagnet), and network simulators.* Experience in designing and optimizing test automation frameworks, using tools such as Python, Robot Framework, or proprietary systems.* Strong problem-solving and troubleshooting skills.* Ability to work in a multi-tasking environment and multi-geo environmentSoft Skills* Leadership and mentoring skills to guide and inspire a team of engineers.* Strong problem-solving ability with a detail-oriented mindset.* Excellent communication skills, both written and verbal, with the ability to present complex technical concepts to both technical and non-technical stakeholders.* Ability to work independently and collaboratively in a cross-disciplinary environment Inside this Business Group The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth. Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.It has come to our notice that some people have received fake job interview letters ostensibly issued by Intel, inviting them to attend interviews in Intel s offices for various positions and further requiring them to deposit money to be eligible for the interviews. We wish to bring to your notice that these letters are not issued by Intel or any of its authorized representatives. Hiring at Intel is based purely on merit and Intel does not ask or require candidates to deposit any money. We would urge people interested in working for Intel

Description AI Cloud Team @Salesforce is looking for talented Senior Manager like you to to lead an exceptional engineering team in transforming the customer service landscape. Salesforce AI Cloud team brings the revolutionary AI technology to Salesforce CRM business at scale. The platform and application teams ( like Einstein Bots) under AI Cloud is looking for a Sr Manager to lead an exceptional engineering team to build and enhance the chatbots, ML models and services. You will leverage your experience in the areas of ML/NLP to help develop and refine our AI strategy and products like Einstein Bots, scaling the AI and ML services and ML Ops deployment pipelines while ensuring our stringent data privacy, security, residency, and compliance goals. Our mission is to deliver rich and compelling conversational experiences through multiple channels, enabling users to resolve issues faster and enhancing brand engagement and satisfaction. We're not just about development; we're about end-to-end ownership, directly improving customer experiences through a fast user feedback cycle. You'll be part of an industry-leading enterprise solution that leverages AI to automate customer service requests through friendly conversational interfaces, directly impacting millions of users worldwide.If you're passionate about AI, customer service experience, and making a real impact, the AI Cloud team is the place for you. Join us on this exciting journey of innovation and transformation. What You ll Do: Collaborate with Salesforce AI Cloud leaders to co-create and refine the AI strategy and roadmap. Drive the execution and delivery of features by collaborating with many multi-functional teams, architects, product owners and engineer. Lead the design, development and maintenance of high-quality and highly available AI/ML models, services and ML Ops deployments, chatbot solutions etc. Partner with Product Managers and Technical Program Managers to closely track progress across multiple work-streams while delivering goals for varying stakeholders. Prioritize retaining and attracting top talent, continuously invest in the development of high-performing teams, and passionately champion the success of both the team and its individual members. Be the service owner and ensure that our services are reliable and consistently available. Collaborate with cross-functional teams to ensure that high availability is a priority in all stages of development and deployment. Promote a culture of open communication and support within the team ensuring all voices are heard and the team is fostering a collaborative environment. Drive continuous improvement initiatives by identifying inefficiencies and developing solutions to enhance quality, reduce costs, and improve timelines. Daily management of stand-ups as the Scrum Master for engineering teams. Occasionally chipping in to development tasks such as coding and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your technical skill sharp Required Skills: A related technical degree required. 12+ years experience building, scaling and maintaining large scale, complex AI products and/or services in the B2B (or B2C) SaaS industry. This experience should include building and sustaining large-scale solutions that operate around the clock, 24/7. 5+ years of people management experience, with at least 3+ years in leading teams focused on AI/ML initiatives. Knowledge and understanding of SaaS, PaaS, IaaS industry with hands-on experience of public cloud offerings (AWS, GAE, Azure). Experience in SaaS incident management, handling customer escalations and proactively working with customer success teams. Knowledge of professional software engineering best practices including coding standards, code reviews, source code management, continuous integration, build processes, testing, and operations. Experience with agile development methodologies is a must, and ScrumMaster experience is highly preferred. Exceptional verbal and written communication skills, along with strong organizational and project management abilities, and the capacity to work effectively in a distributed team setting. Passionate about engineering productivity, service ownership and customer success. Ability to be nimble, proactive, comfortable working with minimal specifications. Preferred Skills: Strong knowledge of Salesforce product and platform features, capabilities, and best use of it. Experience with NLP techniques and tools for text analysis and processing. Experience with cutting-edge machine learning techniques such as reinforcement learning, GANs, and advanced neural network architectures. Expertise in generative AI technologies, including experience with models such as GPT, DALL-E, and other generative adversarial networks (GANs). A track record of publications in top-tier conferences or journals and/or patents in the field of machine learning or data science. Knowledge of best practices and regulations around data privacy and security, such as GDPR, HIPAA, or CCPA. Ability to work with multilingual data sets and develop models that can handle multiple languages. Qualification : A related technical degree required.

The Principal Threat Research Engineer will identify, analyze, and mitigate evolving cyber threats by creating and maintaining effective threat detection signatures. This role requires deep expertise in understanding modern cyber threats, malware behavior, and signature writing for advanced threat detection technologies. You will work closely with cross-functional teams, such as threat intelligence, incident response, and security product development, to enhance the organization s defense capabilities and provide strategic insight into the threat landscape. Key Responsibilities: Signature Writing & Development: i) Design and develop accurate, high-quality signatures and detection rules for threat detection systems (IDS/IPS, AV, EDR). ii) Improve and update detection logic to adapt to the latest threats, exploits, and attack vectors. iii) Optimize detection signatures to minimize false positives and maximize detection efficiency across various security platforms. Threat Research & Analysis: i) Lead in-depth research into emerging cyber threats, malware, APT groups, and TTPs (Tactics, Techniques, and Procedures). ii) Analyze attack patterns, behavior, and malicious code to identify new detection opportunities. iii) Track and understand evolving threat landscapes, including new vulnerabilities, exploits, and attack campaigns. Collaborative Threat Intelligence: i) Collaborate with global threat intelligence teams to share threat research findings and develop a comprehensive understanding of adversarial behavior. ii) Maintain relationships with external threat-sharing communities and organizations to stay up-to-date on the latest threat information. iii) Support the security team in responding to active threats, providing detection strategies and remediation guidance. Detection Engineering & Optimization: i) Work closely with the detection engineering team to integrate custom and third-party signatures into existing detection platforms (SIEM, IDS/IPS, EDR). ii) Identify gaps in current detection methodologies and implement improved detection capabilities for advanced threats, such as zero-day exploits, fileless malware, and APT campaigns. iii) Conduct performance testing and tuning of signatures to ensure system stability and effectiveness under various network environments. Thought Leadership & Knowledge Sharing: i) Act as a subject matter expert on threat detection, signature development, and malware analysis for internal and external stakeholders. ii) Lead and mentor junior threat researchers and engineers by providing guidance, training, and technical expertise. iii) Create research reports, blogs, whitepapers, and presentations to communicate key research findings and trends to technical and non-technical audiences. Required Qualifications: Bachelor s or Master s degree in Computer Science, Cybersecurity, Information Security, or a related field. 8+ years of experience in cybersecurity, with a focus on threat research, signature development, or malware analysis. Proven experience in writing and optimizing signatures for IDS/IPS, antivirus, and endpoint detection and response (EDR) solutions. Deep knowledge of cyber threats, including malware, ransomware, phishing, and advanced persistent threats (APTs). Strong understanding of network protocols, system internals (Windows, Linux), and attack techniques such as fileless malware, obfuscation, and evasion. Proficiency with malware analysis tools (e.g., IDA Pro, Ghidra), network analysis tools (e.g., Wireshark, Zeek), and sandbox environments. Experience with signature formats such as YARA, Snort, Suricata, and regular expression-based detection logic. Familiarity with MITRE ATT&CK framework and how it maps to threat detection and signature development. Strong problem-solving and analytical skills, with an ability to think critically about threat detection and mitigation strategies. Excellent verbal and written communication skills, with the ability to convey complex threat intelligence and detection strategies to a diverse audience. Ability to work collaboratively across teams and mentor junior team members. Preferred Qualifications: Relevant cybersecurity certifications such as CISSP, GIAC, OSCP, or GREM. Expertise in scripting and automation (Python, PowerShell, Bash) to automate threat research and signature writing processes. Experience with cloud-based threat detection and response (e.g., AWS GuardDuty, Azure Sentinel). Familiarity with advanced hunting techniques, including threat hunting using logs, endpoint data, and network data. Employee Value Proposition (EVP): At Aryaka, we offer a dynamic and innovative work environment where you will have the opportunity to make a significant impact in the network security industry. Our commitment to cutting-edge technology and customer satisfaction provides a platform for continuous learning and professional growth. Qualification : Bachelors or Masters degree in Computer Science, Cybersecurity, Information Security, or a related field.

Job Title: AI/ML Architect Location: Bangalore, India Experience: 15 17 Years Employment Type: Full-Time Overview: We are seeking an experienced AI/ML Architect with 15 17 years of overall experience, including 2 3 years in project management. This strategic role requires deep expertise in AI/ML technologies, enterprise AI architecture, and hands-on delivery of cutting-edge solutions such as autonomous AI agents and generative AI platforms. The architect will lead the design, proposal, and execution of AI-driven solutions across diverse client engagements. Key Responsibilities: Solution Architecture & Design: Design and evolve robust AI/ML architectures incorporating autonomous agents, scalable business intelligence, and generative AI. Collaborate with cross-functional teams (data scientists, ML engineers, UX designers, and business strategists) to convert business needs into technical designs. Evaluate emerging technologies, frameworks, and trends to guide architectural roadmaps and innovation strategies. RFP Response & Proposal Development: Lead the technical response for RFPs, creating solution frameworks that align with client objectives and industry standards. Draft detailed technical proposals, use cases, and presentations to demonstrate the business value and ROI of AI solutions. Partner with sales and business teams to align proposals with market needs and positioning. Project Delivery & Technical Leadership: Oversee full AI/ML solution lifecycles from architecture design to deployment and monitoring ensuring compliance, quality, and performance. Provide hands-on guidance and mentorship to technical teams, promoting best practices in data science, ML model development, and deployment pipelines. Manage project schedules, resource planning, and risk mitigation for successful delivery outcomes. Stakeholder & Cross-Functional Collaboration: Act as the primary technical liaison across teams, ensuring stakeholder alignment on vision, progress, and technical challenges. Conduct technical workshops, reviews, and solution demos to showcase innovation and architectural decisions. Innovation & Continuous Improvement: Monitor industry trends, publications, and competitor offerings to integrate innovative features into AI/ML initiatives. Continuously refine and optimize existing platforms, ensuring scalability, performance, and user-centricity. Required Skills & Qualifications: 15 17 years of overall experience with 2 3 years in a leadership/project management role. Strong track record in AI/ML architecture, especially with autonomous agent systems, enterprise AI, and generative AI technologies. Proficient in modern AI/ML frameworks (TensorFlow, PyTorch, etc.), data pipelines, and cloud platforms (AWS, Azure, GCP). Experience designing and implementing end-to-end AI solutions in complex, data-driven environments. Demonstrated success in crafting technical proposals and responding to RFPs. In-depth knowledge of NLP, deep learning, traditional ML, and AI product integration. Effective project and stakeholder management skills; able to balance priorities across multiple projects. Excellent communication and presentation skills, with the ability to articulate AI value to technical and non-technical stakeholders.

Position Title: Lead AI/ML Engineer Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is seeking a seasoned Lead AI/ML Engineer to lead cutting-edge initiatives in artificial intelligence and machine learning. This role requires deep technical expertise in AI/ML, including deep learning, NLP, computer vision, and generative AI, combined with strong leadership skills to manage teams and drive innovation. You will collaborate closely with stakeholders to deliver high-impact solutions and play a key role in shaping the company s AI-driven digital transformation. Key Responsibilities Lead end-to-end development of AI/ML solutions across use cases involving machine learning, deep learning, computer vision, NLP, and generative AI. Design and implement scalable models and algorithms, ensuring performance, accuracy, and interpretability. Collaborate with product owners, engineers, and business stakeholders to align AI/ML initiatives with strategic objectives. Mentor and guide data scientists and ML engineers to elevate technical quality and delivery standards. Continuously evaluate emerging AI technologies, frameworks, and methodologies to enhance team capabilities. Contribute to innovation strategy by identifying new business opportunities driven by AI/ML. Ensure data and model governance, ethical AI practices, and responsible deployment of AI solutions. Required Skills & Tools Core Competencies: Strong hands-on experience in machine learning, deep learning, NLP, computer vision, and generative AI. Expertise in Python (primary), with additional knowledge of R, SQL, Java, or C++. Deep understanding of statistics, linear algebra, probability, and algorithm design. Frameworks & Tools: TensorFlow, PyTorch, Keras, OpenCV, Hugging Face, spaCy, Scikit-learn, etc. Data processing tools like Pandas, NumPy, and Spark. Version control and CI/CD tools (e.g., Git, MLflow, Docker, Airflow). Methodologies: Proficient in Agile development and model lifecycle management. Experience with productionizing AI models and deploying them on cloud platforms (AWS, Azure, GCP). Experience 8 12 years of experience in AI/ML, Data Science, or related domains. Minimum 8+ years in a leadership or technical lead role driving successful AI/ML initiatives. Proven record of delivering high-impact AI/ML projects at scale. Experience mentoring and managing AI/ML teams in collaborative, cross-functional environments. Day-to-Day Activities Direct and oversee AI/ML model development, validation, deployment, and monitoring. Review project designs, provide technical oversight, and conduct code/model reviews. Drive research and experimentation to apply novel AI methods to solve real-world problems. Support proposal development and client engagements with AI/ML subject matter expertise. Foster a culture of continuous learning, innovation, and data-driven thinking. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Relevant certifications (e.g., TensorFlow, AWS Machine Learning, Azure AI Engineer) are a plus. Soft Skills Strong leadership, team management, and mentoring capabilities. Excellent communication and stakeholder engagement skills. Strategic thinking with a passion for innovation and emerging technologies. Ability to thrive in a dynamic, fast-paced environment and lead through ambiguity. Diversity & Inclusion at Synechron Synechron is committed to a diverse and inclusive workplace. Through our Same Difference DEI initiative, we celebrate unique backgrounds and perspectives while fostering a respectful, empowering environment. We welcome applications from candidates of all identities and provide support through mentoring, internal mobility, and flexible work arrangements. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.