About The Role We are seeking an experienced and passionate Frontend Developer to join our engineering team. You will be responsible for building and maintaining responsive, high-performance web applications using Angular. This role requires close collaboration with UI/UX designers, backend developers, and product teams to ensure intuitive and seamless user experiences. If you thrive in a dynamic, Agile environment and are driven to deliver high-quality code and delightful interfaces, this opportunity is for you. Key Responsibilities Web Application Development : Design, develop, and maintain responsive web applications using Angular and modern frontend technologies. Collaboration Work closely with designers and backend developers to implement clean, efficient, and visually appealing user interfaces. Performance Optimization Continuously optimize web application performance to ensure speed and scalability. Troubleshooting Identify and resolve UI/UX issues, browser compatibility concerns, and performance bottlenecks. Required Technical Skills Minimum 3 years of hands-on experience with Angular (preferably version 10 or higher). Proficient in TypeScript, JavaScript (ES6+), HTML5, CSS3, and SASS. Strong experience integrating RESTful APIs and working with asynchronous data. Good understanding of responsive design principles, accessibility, and UI/UX best practices. Preferred Qualifications Bachelors degree in Computer Science, Engineering, or a related field. Experience with design tools like Figma, Adobe XD, or Sketch. Familiarity with Git and CI/CD pipelines (GitHub/GitLab/Bitbucket). Experience working in Agile/Scrum development environments. (ref:hirist.tech) Show more Show less
Job Summary We are seeking a highly skilled and motivated Senior AI Engineer to lead the design, development, and deployment of cutting-edge AI and machine learning models. The ideal candidate will have a strong background in algorithms, deep learning, data engineering, and software development, with a passion for solving real-world problems through AI. Key Responsibilities Design and develop scalable AI and machine learning models to solve complex business challenges. Lead end-to-end model development: data collection, preprocessing, training, validation, deployment, and monitoring. Collaborate with cross-functional teams including data engineers, software developers, and product managers. Optimize existing AI models for performance and accuracy. Stay updated with the latest research and trends in AI/ML and evaluate their applicability to company products. Document processes, models, and code to ensure knowledge sharing and reproducibility. Mentor junior team members and contribute to a culture of innovation and Skills and Qualifications : Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field. 3+ years of experience in AI/ML, data science, or related roles. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Solid understanding of machine learning algorithms, data structures, and software engineering principles. Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools. Hands-on experience with NLP, computer vision, or deep learning applications. Strong problem-solving and analytical skills. Excellent communication and collaboration Qualifications : PhD in AI/ML-related field. Experience deploying models in production environments using CI/CD pipelines. Contributions to open-source AI/ML projects or publications in top-tier journals/conferences (ref:hirist.tech) Show more Show less
Job Summary We are seeking a highly skilled and motivated Senior AI Engineer to lead the design, development, and deployment of cutting-edge AI and machine learning models. The ideal candidate will have a strong background in algorithms, deep learning, data engineering, and software development, with a passion for solving real-world problems through AI. Key Responsibilities Design and develop scalable AI and machine learning models to solve complex business challenges. Lead end-to-end model development: data collection, preprocessing, training, validation, deployment, and monitoring. Collaborate with cross-functional teams including data engineers, software developers, and product managers. Optimize existing AI models for performance and accuracy. Stay updated with the latest research and trends in AI/ML and evaluate their applicability to company products. Document processes, models, and code to ensure knowledge sharing and reproducibility. Mentor junior team members and contribute to a culture of innovation and Skills and Qualifications : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field. 5+ years of experience in AI/ML, data science, or related roles. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Solid understanding of machine learning algorithms, data structures, and software engineering principles. Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools. Hands-on experience with NLP, computer vision, or deep learning applications. Strong problem-solving and analytical skills. Excellent communication and collaboration Qualifications : PhD in AI/ML-related field. Experience deploying models in production environments using CI/CD pipelines. Contributions to open-source AI/ML projects or publications in top-tier journals/conferences (ref:hirist.tech) Show more Show less
About The Role We are seeking a dynamic and experienced Senior Engineering Manager to lead our Technology & Product teams and drive platform engineering for our next-generation AI-powered SaaS and mobile platforms. This role is perfect for a technically deep, product-focused leader who thrives in a fast-paced, growth-oriented environment. You will be responsible for delivering secure, scalable, and high-performing systems while guiding a talented team of engineers through innovation, agility, and execution excellence. Key Responsibilities Technical Leadership & Architecture : Drive end-to-end system design for distributed SaaS platforms. Architect and implement robust, secure, and modular microservices. Lead integration of AI/ML components and third-party services. Oversee cloud infrastructure (AWS/GCP) and DevOps pipelines. Product Execution Partner with Product, Design, and Business teams to define and deliver scalable solutions. Manage end-to-end delivery lifecycle: sprint planning, development, release. Lead tech transformation projects including legacy migration (e.g., PHP to Node.js). Ensure system reliability through structured monitoring and incident resolution. Team Leadership & Culture Lead, mentor, and retain high-performing engineering and product teams. Conduct regular 1:1s, performance reviews, and career development planning. Foster a culture of accountability, innovation, and learning. Partner with hiring teams to scale effectively while maintaining quality. Strategic Initiatives & Innovation Collaborate with leadership to align platform roadmap with business goals. Evaluate emerging technologies for practical adoption. Drive strategic technology initiatives, including digital transformation and AI-first product capabilities. Required Skills & Qualifications B.Tech/M.Tech in Computer Science or related field. 7-10 years of experience in software engineering, including experience in team leadership. Proven track record in building and scaling SaaS or B2B platforms. Strong full-stack development background (Node.js, Java Spring Boot, React.js). Proficient in cloud architecture and services (AWS/GCP), CI/CD pipelines, and system design. Experience working in agile, cross-functional environments. Preferred Qualifications Experience in start-up's or high-growth product environments. Exposure to AI/ML integrations, GenAI tools, or chatbot platforms. Certifications in Agile, Scrum, or cloud (AWS/GCP). Why Join Us Work on products that blend AI innovation with real-world sustainability impact. Join a passionate and collaborative team driving the solar and energy tech revolution. Lead with ownership, contribute to vision, and grow alongside a fast-scaling organization. A culture that balances autonomy with accountability and innovation with execution. (ref:hirist.tech) Show more Show less
We’re Hiring: Senior Engineering Manager Gurgaon | 🕒 Full-time | 7–10 Years Experience AI-powered SaaS | SolarTech | B2B & B2C Platforms WattMonk is on a mission to build cutting-edge, AI-first platforms powering the future of clean energy. We're looking for a Senior Engineering Manager to lead our technology and product teams as we scale to the next level. This is a critical leadership role for someone who combines deep technical expertise with a strong product mindset and a passion for innovation. 🔹 Key Responsibilities • Drive system architecture and development for scalable SaaS platforms • Lead cloud infrastructure (AWS/GCP), DevOps, and AI/ML integrations • Partner with Product, Design, and Business teams for end-to-end delivery • Mentor, grow, and manage high-performing engineering teams • Ensure delivery of secure, reliable, and high-performance systems ✅ Ideal Candidate Profile • 7–10 years of experience in engineering and team leadership • Proven track record in SaaS or scalable product development • Strong command over Node.js, Spring Boot, React.js, CI/CD, AWS/GCP • Startup or high-growth product experience preferred • Exposure to AI/ML tools or chatbot platforms is a strong plus If you’re ready to build what’s next in AI and sustainability, we’d love to connect. 📩 Apply or reach out to us at careers@wattmonk.com and jyotsnamasih@wattmonk.com #Hiring #SeniorEngineeringManager #TechLeadership #SaaS #AI #SolarTech #CleanEnergy #WattMonk #LeadershipRoles #ProductEngineering #GurgaonJobs Show more Show less
Role : Lead Tester Experience : 5-10 Years Position : Full Time Location : Remote Who are we ? Wattmonk is a tech based company for solar companies to engage with their customers more efficiently and cost- effectively. Wattmonk is on a mission to reduce customer engagement costs for solar companies. Top solar companies in the US already use Wattmonk as their virtual partners for solar design. Wattmonk service is available in all 50 states of the US. You Can Find Out More About Us At Proficiency in Manual testing in Functional, Regression, System, Integration and UAT testing Knowledge about Automation Testing Experience in web and mobile-based application testing Should be operational as an individual contributor as well in test case preparation ,Test data setup, and test execution Experience in Agile preferred(Experience in scrum, sprint, backlog planning) Should have hands-on experience in Team management, Mentoring juniors, Daily status Reporting, and Developers coordination Should be able to handle a small to mid-sized team independently as a Test lead, including activities such as Test planning, Test execution, Defect Management, Status Reporting and Test Reports should be able to write test cases and review Thorough understanding and solid hands-on experience in all types of functional testing. Thorough understanding of SDLC and STLC Should be able to foresee issues/roadblocks that could possibly delay deliverables and proactively escalate to QA Manager Required Skills Immediate joiners preferred , Excellent communication skills At least 2-3 years of Team leading, Team Management, Lead lead-level activities Hands-on experience in all types of Black box testing (smoke, sanity, integration, regression, UAT) Any testing-related certification will be an added advantage API testing, Database testing and Automation testing can be an added advantage Problem solving attitude (ref:hirist.tech)
About The Role We are seeking a dynamic and experienced Senior Engineering Manager to lead our Technology & Product teams and drive platform engineering for our next-generation AI-powered SaaS and mobile platforms. This role is perfect for a technically deep, product-focused leader who thrives in a fast-paced, growth-oriented environment. You will be responsible for delivering secure, scalable, and high-performing systems while guiding a talented team of engineers through innovation, agility, and execution excellence. Key Responsibilities Technical Leadership & Architecture : Drive end-to-end system design for distributed SaaS platforms. Architect and implement robust, secure, and modular microservices. Lead integration of AI/ML components and third-party services. Oversee cloud infrastructure (AWS/GCP) and DevOps pipelines. Product Execution Partner with Product, Design, and Business teams to define and deliver scalable solutions. Manage end-to-end delivery lifecycle: sprint planning, development, release. Lead tech transformation projects including legacy migration (e.g., PHP to Node.js). Ensure system reliability through structured monitoring and incident resolution. Team Leadership & Culture Lead, mentor, and retain high-performing engineering and product teams. Conduct regular 1:1s, performance reviews, and career development planning. Foster a culture of accountability, innovation, and learning. Partner with hiring teams to scale effectively while maintaining quality. Strategic Initiatives & Innovation Collaborate with leadership to align platform roadmap with business goals. Evaluate emerging technologies for practical adoption. Drive strategic technology initiatives, including digital transformation and AI-first product capabilities. Required Skills & Qualifications B.Tech/M.Tech in Computer Science or related field. 7-10 years of experience in software engineering, including experience in team leadership. Proven track record in building and scaling SaaS or B2B platforms. Strong full-stack development background (Node.js, Java Spring Boot, React.js). Proficient in cloud architecture and services (AWS/GCP), CI/CD pipelines, and system design. Experience working in agile, cross-functional environments. Preferred Qualifications Experience in start-up's or high-growth product environments. Exposure to AI/ML integrations, GenAI tools, or chatbot platforms. Certifications in Agile, Scrum, or cloud (AWS/GCP). Why Join Us Work on products that blend AI innovation with real-world sustainability impact. Join a passionate and collaborative team driving the solar and energy tech revolution. Lead with ownership, contribute to vision, and grow alongside a fast-scaling organization. A culture that balances autonomy with accountability and innovation with execution. (ref:hirist.tech)
As an HR Business Partner, you will work closely with our India operations team to drive HR processes, support employees, and help maintain a compliant, engaging, and performance-driven workplace culture. This is an on-site role aligned with U. S. shift hours. Responsibilities Manage employee records, documentation, and HR compliance. Facilitate onboarding and induction for new hires. Act as the first point of contact for employee support and queries. Support employee grievance resolution and ensure fair practices. Assist in executing HR engagement and retention initiatives. Help communicate and implement HR policies. Collaborate on employee development and training plans. Coordinate and drive employee engagement activities. Analyze HR data and prepare reports for leadership review. Requirements MBA/Bachelor's degree in HR or a related field. 0-1 year of relevant HR experience (Fresh graduates from B-Schools are welcome). Excellent communication and interpersonal skills. An analytical mindset with the ability to interpret data. Understanding of basic HR practices and Indian labour laws. This job was posted by Jyotsna Masih from Wattmonk Technologies.
Responsibilities: * Lead cross-functional teams * Ensure project delivery on time & budget * Collaborate with stakeholders * Drive innovation through technology * Manage engineering resources
Job Summary We are seeking a highly skilled and motivated Senior AI Engineer to lead the design, development, and deployment of cutting-edge AI and machine learning models. The ideal candidate will have a strong background in algorithms, deep learning, data engineering, and software development, with a passion for solving real-world problems through AI. Key Responsibilities Design and develop scalable AI and machine learning models to solve complex business challenges. Lead end-to-end model development: data collection, preprocessing, training, validation, deployment, and monitoring. Collaborate with cross-functional teams including data engineers, software developers, and product managers. Optimize existing AI models for performance and accuracy. Stay updated with the latest research and trends in AI/ML and evaluate their applicability to company products. Document processes, models, and code to ensure knowledge sharing and reproducibility. Mentor junior team members and contribute to a culture of innovation and Skills and Qualifications : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field. 5+ years of experience in AI/ML, data science, or related roles. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Solid understanding of machine learning algorithms, data structures, and software engineering principles. Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools. Hands-on experience with NLP, computer vision, or deep learning applications. Strong problem-solving and analytical skills. Excellent communication and collaboration Qualifications : PhD in AI/ML-related field. Experience deploying models in production environments using CI/CD pipelines. Contributions to open-source AI/ML projects or publications in top-tier journals/conferences (ref:hirist.tech)
You will be responsible for designing and developing scalable AI and machine learning models to address complex business challenges. Your role will involve leading end-to-end model development, including data collection, preprocessing, training, validation, deployment, and monitoring. Collaboration with cross-functional teams, such as data engineers, software developers, and product managers, will be essential. Additionally, you will optimize existing AI models for enhanced performance and accuracy. To excel in this role, you should stay abreast of the latest research and trends in AI/ML and assess their relevance to company products. Documenting processes, models, and code for knowledge sharing and reproducibility purposes will also be part of your responsibilities. Furthermore, mentoring junior team members and fostering a culture of innovation will be key components of your role. The ideal candidate for this position should possess a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. You should have at least 5 years of experience in AI/ML, data science, or related roles. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, and scikit-learn is essential. A solid grasp of machine learning algorithms, data structures, and software engineering principles is also required. Experience with cloud platforms such as AWS, Azure, or GCP, as well as familiarity with MLOps tools, will be advantageous. Hands-on experience in NLP, computer vision, or deep learning applications is desirable. Strong problem-solving and analytical skills, coupled with excellent communication and collaboration abilities, are crucial for success in this role. While a PhD in an AI/ML-related field is not mandatory, it would be a significant asset. Experience in deploying models in production environments using CI/CD pipelines, as well as contributions to open-source AI/ML projects or publications in esteemed journals or conferences, will be considered advantageous for this position.,
We are looking for a dynamic and experienced Senior Engineering Manager to lead our Technology & Product teams and drive platform engineering for our next-generation AI-powered SaaS and mobile platforms. This role is ideal for a technically deep, product-focused leader who excels in a fast-paced, growth-oriented environment. Your responsibilities will include delivering secure, scalable, and high-performing systems while guiding a talented team of engineers through innovation, agility, and execution excellence. You will drive end-to-end system design for distributed SaaS platforms, architect and implement robust, secure, and modular microservices, lead the integration of AI/ML components and third-party services, and oversee cloud infrastructure (AWS/GCP) and DevOps pipelines. Collaboration with Product, Design, and Business teams to define and deliver scalable solutions, managing the end-to-end delivery lifecycle, leading tech transformation projects, and ensuring system reliability through structured monitoring and incident resolution will also be part of your role. As a leader, you will mentor and retain high-performing engineering and product teams, conduct regular 1:1s, performance reviews, and career development planning, while fostering a culture of accountability, innovation, and learning. Collaborating with hiring teams to scale effectively while maintaining quality is essential. You will also collaborate with leadership to align platform roadmap with business goals, evaluate emerging technologies for practical adoption, and drive strategic technology initiatives, including digital transformation and AI-first product capabilities. The required qualifications for this role include a B.Tech/M.Tech in Computer Science or related field, 7-10 years of experience in software engineering with team leadership experience, a proven track record in building and scaling SaaS or B2B platforms, strong full-stack development background (Node.js, Java Spring Boot, React.js), proficiency in cloud architecture and services (AWS/GCP), CI/CD pipelines, and system design, and experience working in agile, cross-functional environments. Preferred qualifications include experience in start-ups or high-growth product environments, exposure to AI/ML integrations, GenAI tools, or chatbot platforms, and certifications in Agile, Scrum, or cloud (AWS/GCP). Join us to work on products that blend AI innovation with real-world sustainability impact, be part of a passionate and collaborative team driving the solar and energy tech revolution, lead with ownership, contribute to vision, and grow alongside a fast-scaling organization, and experience a culture that balances autonomy with accountability and innovation with execution.,
We are looking for a dynamic and experienced Senior Engineering Manager to lead our Technology & Product teams and drive platform engineering for our next-generation AI-powered SaaS and mobile platforms. This role is ideal for a technically deep, product-focused leader who excels in a fast-paced, growth-oriented environment. Your main responsibilities will include delivering secure, scalable, and high-performing systems while guiding a talented team of engineers through innovation, agility, and execution excellence. You will be responsible for driving end-to-end system design for distributed SaaS platforms, architecting and implementing robust, secure, and modular microservices, leading the integration of AI/ML components and third-party services, and overseeing cloud infrastructure (AWS/GCP) and DevOps pipelines. In terms of product execution, you will partner with Product, Design, and Business teams to define and deliver scalable solutions, manage the end-to-end delivery lifecycle including sprint planning, development, and release, lead tech transformation projects such as legacy migration from PHP to Node.js, and ensure system reliability through structured monitoring and incident resolution. Your role will also involve leading, mentoring, and retaining high-performing engineering and product teams, conducting regular 1:1s, performance reviews, and career development planning, fostering a culture of accountability, innovation, and learning, and collaborating with hiring teams to scale effectively while maintaining quality. Additionally, you will collaborate with leadership to align the platform roadmap with business goals, evaluate emerging technologies for practical adoption, and drive strategic technology initiatives including digital transformation and AI-first product capabilities. Qualifications: - B.Tech/M.Tech in Computer Science or related field - 7-10 years of experience in software engineering, including team leadership - Proven track record in building and scaling SaaS or B2B platforms - Strong full-stack development background (Node.js, Java Spring Boot, React.js) - Proficiency in cloud architecture and services (AWS/GCP), CI/CD pipelines, and system design - Experience working in agile, cross-functional environments Preferred Qualifications: - Experience in start-ups or high-growth product environments - Exposure to AI/ML integrations, GenAI tools, or chatbot platforms - Certifications in Agile, Scrum, or cloud (AWS/GCP) Why Join Us: - Work on products that blend AI innovation with real-world sustainability impact - Join a passionate and collaborative team driving the solar and energy tech revolution - Lead with ownership, contribute to vision, and grow alongside a fast-scaling organization - A culture that balances autonomy with accountability and innovation with execution,
You will be responsible for designing and developing scalable AI and machine learning models to address complex business challenges. Your role will involve leading end-to-end model development, including data collection, preprocessing, training, validation, deployment, and monitoring. Collaboration with cross-functional teams, such as data engineers, software developers, and product managers, will be crucial. Additionally, you will optimize existing AI models for enhanced performance and accuracy. It is essential that you stay informed about the latest research and trends in AI/ML and assess their relevance to company products. Documenting processes, models, and code to facilitate knowledge sharing and reproducibility will be part of your responsibilities. Moreover, you will mentor junior team members and foster a culture of innovation. To qualify for this position, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. You must have at least 5 years of experience in AI/ML, data science, or related roles. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, and scikit-learn is required. A solid grasp of machine learning algorithms, data structures, and software engineering principles is essential. Experience with cloud platforms such as AWS, Azure, or GCP, as well as familiarity with MLOps tools, is preferred. Hands-on experience in NLP, computer vision, or deep learning applications is a plus. Strong problem-solving and analytical skills, along with excellent communication and collaboration abilities, are necessary for this role. While a PhD in an AI/ML-related field is not mandatory, it would be advantageous. Experience in deploying models in production environments using CI/CD pipelines is a plus. Any contributions to open-source AI/ML projects or publications in esteemed journals/conferences will be highly regarded. Please note that the above description is referenced from hirist.tech.,
Job Title: General Manager - Operations Location: Gurugram, India Employment Type: Full-time About WattMonk WattMonk is a high-growth SolarTech company enabling solar dealers, designers, and installers to deliver faster, smarter, and more cost-effective solar solutions. A tech-first, mission-driven organization, we are committed to accelerating clean energy adoption while improving the operational efficiency of solar businesses across the U.S. Operating in all 50 states, we currently serve over 100 solar installers-including five of the top ten residential solar companies in the U.S.-with 300% year-over-year growth. Since our launch in 2019, we've scaled from a startup to a multi-million-dollar enterprise, completely bootstrapped. Website: www.wattmonk.com Role Overview We are seeking a seasoned and execution-driven General Manager - Operations to lead our delivery and operational performance. This role requires a strategic thinker with a strong bias for action, process discipline, and team leadership. You will be responsible for overseeing service delivery teams, improving KPIs, implementing scalable processes, and driving cross-functional collaboration to ensure operational excellence and client satisfaction. This is a high-impact, high-ownership role ideal for professionals who thrive in fast-paced, high-accountability environments. Key Responsibilities Operations Leadership: Lead and manage day-to-day operations across all client-facing delivery teams. Ensure adherence to internal SLAs, TAT, quality benchmarks, and overall client satisfaction. Performance Management Define and track key performance indicators (TAT, SLA compliance, resource utilization). Drive continuous improvement in productivity, quality, and delivery metrics. Strategic Execution Translate business strategy into operational plans. Oversee capacity planning, workload distribution, shift structures, and team bandwidth management. Team Leadership Manage and coach mid-level managers and team leads; drive team performance and accountability. Foster a culture of transparency, ownership, and high standards. Process Excellence Identify operational bottlenecks and lead initiatives for SOP development, automation, and process optimization. Roll out workflow changes, tech tools, and process enhancements effectively across teams. Cross-Functional Collaboration Work closely with Product, Tech, Customer Success, and Sales to ensure seamless delivery. Serve as the operations representative in cross-functional planning and reviews. Customer-Centric Operations Proactively manage escalations and ensure client expectations are consistently met or exceeded. Align internal workflows and quality metrics with external client requirements. Governance & Compliance Maintain adherence to quality standards and industry regulations. Ensure documentation and audit-readiness across operations. Candidate Profile Required Qualifications: 8-12 years of experience in managing large-scale operations, preferably in tech-enabled or service delivery environments. Demonstrated success in managing and scaling teams of 50+ members. Deep understanding of operational KPIs and process optimization techniques. Strong stakeholder management and communication skills. Experience working with workflow tools, CRMs, ticketing systems, or automation platforms. Ability to drive outcomes independently in fast-paced, growth-stage organizations. Preferred Qualifications Experience in managing P&L or operational budgets. Background in service operations within solar, energy, SaaS, or digital services is a plus. Strong analytical mind set with comfort in data-driven decision-making. What We Offer An opportunity to lead operations in a fast-scaling, high-impact clean tech company. High autonomy and a culture that rewards ownership and accountability. Collaboration with leadership and influence on core business decisions. Competitive compensation and performance-linked benefits. A fast-paced, entrepreneurial environment with room for innovation and experimentation. (ref:iimjobs.com)
Job Description Define, design, and deliver ML architecture patterns operable in native and hybrid cloud architectures. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML model training and deployment in enterprise applications. Perform research activities to identify emerging technologies and trends that may affect the Data Science/ML lifecycle management in the enterprise application portfolio. Lead total solution design from requirements analysis, design, and engineering for data ingestion, pipeline, data preparation & orchestration, applying the right ML algorithms on the data stream and predictions. Requirements Hands-on programming and architecture capabilities in Python, Java, R, or Scala. Minimum 8+ years of experience in enterprise applications development. Experience in implementing and deploying Machine Learning solutions using various models such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Topic Modeling, Game Theory, Mechanism Design, etc. Strong hands-on experience with statistical packages and ML libraries (e.g., R, Python scikit-learn, Spark MLlib, etc.). Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.). Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.). Hands-on experience in RDBMS, NoSQL, big data stores like Elastic, Cassandra, HBase, Hive, HDFS. Work experience as a Solution Architect/Software Architect/Technical Lead. Experience with open-source software. Excellent problem-solving skills and ability to break down complexity. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning, and related technologies. Developing AI/ML models in real-world environments and integrating AI/ML using Cloud-native or hybrid technologies into large-scale enterprise applications. In-depth experience in AI/ML and Data analytics services offered on Amazon Web Services and/or Microsoft Azure cloud solutions and their interdependencies. Specializes in at least one of the AI/ML stack (Frameworks and tools like MxNET and TensorFlow, ML platforms such as Amazon SageMaker for data scientists, API-driven AI Services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Recognition to quickly add intelligence to applications with a simple API call). Demonstrated experience developing best practices and recommendations around tools/technologies for ML lifecycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, MLOps, Model Deployment approaches, and Model monitoring and tuning. (ref:hirist.tech)
Role : Software Solution Architect Job Responsibilities Define, design, and deliver ML architecture patterns operable in native and hybrid cloud architectures. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML model training and deployment in enterprise applications. Perform research activities to identify emerging technologies and trends that may affect the Data Science/ML lifecycle management in the enterprise application portfolio. Lead total solution design from requirements analysis, design, and engineering for data ingestion, pipeline, data preparation & orchestration, applying the right ML algorithms on the data stream and predictions. Requirements Hands-on programming and architecture capabilities in Python, Java, R, or Scala. Minimum 8+ years of experience in enterprise applications development. Experience in implementing and deploying Machine Learning solutions using various models such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Topic Modeling, Game Theory, Mechanism Design, etc. Strong hands-on experience with statistical packages and ML libraries (e.g., R, Python scikit-learn, Spark MLlib, etc.). Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.). Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.). Hands-on experience in RDBMS, NoSQL, big data stores like Elastic, Cassandra, HBase, Hive, HDFS. Work experience as a Solution Architect/Software Architect/Technical Lead. Experience with open-source software. Excellent problem-solving skills and ability to break down complexity. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning, and related technologies. Developing AI/ML models in real-world environments and integrating AI/ML using Cloud-native or hybrid technologies into large-scale enterprise applications. In-depth experience in AI/ML and Data analytics services offered on Amazon Web Services and/or Microsoft Azure cloud solutions and their interdependencies. Specializes in at least one of the AI/ML stack (Frameworks and tools like MxNET and TensorFlow, ML platforms such as Amazon SageMaker for data scientists, API-driven AI Services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with a simple API call). Demonstrated experience developing best practices and recommendations around tools/technologies for ML lifecycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, MLOps, Model Deployment approaches, and Model monitoring and tuning. (ref:hirist.tech)
Job Title: General Manager - Operations Location: Gurugram, India Employment Type: Full-time About WattMonk WattMonk is a high-growth SolarTech company enabling solar dealers, designers, and installers to deliver faster, smarter, and more cost-effective solar solutions. A tech-first, mission-driven organization, we are committed to accelerating clean energy adoption while improving the operational efficiency of solar businesses across the U.S. Operating in all 50 states, we currently serve over 100 solar installers-including five of the top ten residential solar companies in the U.S.-with 300% year-over-year growth. Since our launch in 2019, we've scaled from a startup to a multi-million-dollar enterprise, completely bootstrapped. Website: www.wattmonk.com Role Overview We are seeking a seasoned and execution-driven General Manager - Operations to lead our delivery and operational performance. This role requires a strategic thinker with a strong bias for action, process discipline, and team leadership. You will be responsible for overseeing service delivery teams, improving KPIs, implementing scalable processes, and driving cross-functional collaboration to ensure operational excellence and client satisfaction. This is a high-impact, high-ownership role ideal for professionals who thrive in fast-paced, high-accountability environments. Key Responsibilities Operations Leadership: Lead and manage day-to-day operations across all client-facing delivery teams. Ensure adherence to internal SLAs, TAT, quality benchmarks, and overall client satisfaction. Performance Management Define and track key performance indicators (TAT, SLA compliance, resource utilization). Drive continuous improvement in productivity, quality, and delivery metrics. Strategic Execution Translate business strategy into operational plans. Oversee capacity planning, workload distribution, shift structures, and team bandwidth management. Team Leadership Manage and coach mid-level managers and team leads; drive team performance and accountability. Foster a culture of transparency, ownership, and high standards. Process Excellence Identify operational bottlenecks and lead initiatives for SOP development, automation, and process optimization. Roll out workflow changes, tech tools, and process enhancements effectively across teams. Cross-Functional Collaboration Work closely with Product, Tech, Customer Success, and Sales to ensure seamless delivery. Serve as the operations representative in cross-functional planning and reviews. Customer-Centric Operations Proactively manage escalations and ensure client expectations are consistently met or exceeded. Align internal workflows and quality metrics with external client requirements. Governance & Compliance Maintain adherence to quality standards and industry regulations. Ensure documentation and audit-readiness across operations. Candidate Profile Required Qualifications: 8-12 years of experience in managing large-scale operations, preferably in tech-enabled or service delivery environments. Demonstrated success in managing and scaling teams of 50+ members. Deep understanding of operational KPIs and process optimization techniques. Strong stakeholder management and communication skills. Experience working with workflow tools, CRMs, ticketing systems, or automation platforms. Ability to drive outcomes independently in fast-paced, growth-stage organizations. Preferred Qualifications Experience in managing P&L or operational budgets. Background in service operations within solar, energy, SaaS, or digital services is a plus. Strong analytical mind set with comfort in data-driven decision-making. What We Offer An opportunity to lead operations in a fast-scaling, high-impact clean tech company. High autonomy and a culture that rewards ownership and accountability. Collaboration with leadership and influence on core business decisions. Competitive compensation and performance-linked benefits. A fast-paced, entrepreneurial environment with room for innovation and experimentation. (ref:iimjobs.com)
Department : Artificial Intelligence / Engineering Experience Required : 5+ years in AI/ML development Employment Type : Full-time Location : Gurgaon, Haryana About WattMonk Technologies At WattMonk Technologies, we are on a mission to revolutionize clean energy and technology services through cutting-edge AI-driven solutions. We design and deliver intelligent systems that empower businesses to scale smarter, faster, and more sustainably. By joining WattMonk, youll be part of a passionate team working at the intersection of AI innovation and real-world impact, with opportunities to shape solutions that matter. Role Overview Were seeking a highly skilled and forward-thinking Senior AI Engineer to lead the development of intelligent systems that address complex business challenges. This role blends deep technical expertise with strategic problem-solving, offering the opportunity to shape impactful AI solutions from concept to deployment. Key Responsibilities Design and implement scalable AI/ML models for real-world applications. Manage the end-to-end model lifecycle : data acquisition, pre-processing, training, validation, deployment, and monitoring. Collaborate with data engineers, software developers, and product managers to integrate AI seamlessly into WattMonks products and solutions. Continuously optimize models for performance, accuracy, and efficiency. Stay ahead of the curve by evaluating emerging AI technologies and research for practical adoption. Maintain clear documentation to support reproducibility and team knowledge sharing. Mentor junior engineers and foster a culture of innovation and excellence. Required Qualifications Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field. 3+ years of hands-on experience in AI/ML development. Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn). Strong foundation in machine learning algorithms, data structures, and software engineering principles. Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools. Applied expertise in NLP, computer vision, or deep learning. Strong problem-solving abilities and excellent communication skills. Preferred Qualifications PhD in AI/ML or a related discipline. Proven experience deploying models in production using CI/CD pipelines. Contributions to open-source AI/ML projects or publications in top-tier journals/conferences. (ref:hirist.tech)
As a Frontend Developer at our company, you will be responsible for designing, developing, and maintaining responsive, high-performance web applications using Angular and other modern frontend technologies. Your role will involve collaborating closely with UI/UX designers, backend developers, and product teams to ensure seamless user experiences. If you enjoy working in a dynamic, Agile environment and are passionate about delivering high-quality code and visually appealing interfaces, then this opportunity is perfect for you. Your key responsibilities will include: - Designing, developing, and maintaining responsive web applications using Angular and other frontend technologies. - Collaborating with designers and backend developers to implement clean, efficient, and visually appealing user interfaces. - Continuously optimizing web application performance to ensure speed and scalability. - Identifying and resolving UI/UX issues, browser compatibility concerns, and performance bottlenecks. To excel in this role, you should have: - At least 3 years of hands-on experience with Angular, preferably version 10 or higher. - Proficiency in TypeScript, JavaScript (ES6+), HTML5, CSS3, and SASS. - Strong experience in integrating RESTful APIs and working with asynchronous data. - A good understanding of responsive design principles, accessibility, and UI/UX best practices. Preferred qualifications include: - A Bachelor's degree in Computer Science, Engineering, or a related field. - Experience with design tools like Figma, Adobe XD, or Sketch. - Familiarity with Git and CI/CD pipelines (GitHub/GitLab/Bitbucket). - Experience working in Agile/Scrum development environments. If you are ready to take on this exciting opportunity and contribute to building innovative web applications, we look forward to receiving your application.,