Company Description Vigyanlabs is an innovation-driven organization specializing in energy management solutions. The company focuses on building products based on "green and clean" technologies, drawing inspiration from nature. Vigyanlabs is known for its Intelligent Power Management Technology, which has delivered breakthrough energy savings for customers worldwide. Role Description This is a full-time remote role for a Sr Sales Manager at VIGYANLABS. He should have minimum 2 yrs experience driving endpoint management software. The Sr Sales Manager will be responsible for managing sales activities, developing and implementing channel and sales strategies, building and maintaining channel and client relationships, and achieving revenue targets on a global scale. Qualifications Strong sales and negotiation skills Channel hunting and channel development Experience in developing and implementing sales strategies Excellent communication and presentation skills Ability to build and maintain client and channel relationships Proven track record of meeting and exceeding sales targets Knowledge of energy management or technology industry is a plus Bachelor's degree in Business Administration or related field Show more Show less
The ideal candidate will be responsible for managing and inspiring his or her team to achieve their performance metrics. Your role will involve strategizing, project management, part staff management. Your collaborative attitude and interpersonal skills will help you thrive as an Engineering Manager. Responsibilities Manage, coach, and support engineering team Create a technical strategy and budget proposal Implement and monitor technical strategy performance metrics Communicate engineer team goals with engineering staff members Coordinate internal teams to ensure project timelines and budgets are met Qualifications Bachelor's degree or equivalent experience in Engineering or related field of study 3+ years' of management experience Strong interpersonal and communication skills
The Role AI Engineering Manager We are seeking an experienced and visionary AI Engineering Manager to lead our team of talented engineers. The ideal candidate will be a technical leader and a collaborative manager, responsible for guiding our team to build innovative and high-performance AI solutions. You'll play a crucial role in shaping our technical roadmap, fostering a culture of excellence, and ensuring our projects are delivered on time and within budget. This is a unique opportunity to blend strategic leadership with hands-on technical oversight in a fast-paced, cutting-edge environment. Responsibilities Team Leadership & Development : Lead, mentor, and inspire a team of AI/ML engineers and data scientists. Conduct regular one-on-ones, performance reviews, and provide continuous feedback to support professional growth. Technical Strategy & Vision : Develop and execute the technical strategy for AI initiatives, aligning it with company-wide goals. This includes defining the technology stack, architectural patterns, and best practices for model development, deployment, and monitoring. Project & Budget Management : Oversee the entire project lifecycle for AI projects, from ideation to production. Ensure projects adhere to timelines and budgets, and are delivered with high quality. Performance Monitoring : Define and implement key performance indicators (KPIs) for the engineering team and AI models, and regularly report on performance to stakeholders. Stakeholder Communication : Act as the primary point of contact for the engineering team, effectively communicating project status, goals, and technical challenges to both technical and non-technical stakeholders. Cross-Functional Collaboration : Coordinate with product managers, data scientists, and other internal teams to ensure seamless project execution and alignment on goals. Qualifications Education : Bachelor's degree in Computer Science, Engineering, or a related field. A Master's or Ph.D. with a specialization in Machine Learning or Artificial Intelligence is a significant plus. Experience 3+ years of experience in a management or lead role within an engineering team. Proven hands-on experience in the AI/ML domain, including developing and deploying machine learning models, working with large datasets, and managing data pipelines. Experience with cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML services (e.g., Sagemaker, Vertex AI, MLFlow). Technical Skills (AI Focus) Strong understanding of core machine learning concepts, including supervised, unsupervised, and reinforcement learning. Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages commonly used in AI/ML, such as Python and R. Experience with data processing and big data technologies like Spark, Hadoop, or Dask. Knowledge of MLOps principles and tools for model versioning, serving, and monitoring. Core Competencies Exceptional interpersonal and communication skills, with the ability to articulate complex technical concepts clearly to diverse audiences. Strong leadership and mentoring abilities to motivate and develop a high-performing team. Excellent problem-solving skills and a strategic mindset. Ability to thrive in a dynamic, fast-paced environment and manage multiple priorities effectively. (ref:hirist.tech)
As an AI Engineering Manager, you will play a crucial role in guiding a team of talented engineers to build innovative and high-performance AI solutions. Your responsibilities will include: - **Team Leadership & Development**: - Lead, mentor, and inspire a team of AI/ML engineers and data scientists. - Conduct regular one-on-ones, performance reviews, and provide continuous feedback to support professional growth. - **Technical Strategy & Vision**: - Develop and execute the technical strategy for AI initiatives, aligning it with company-wide goals. - Define the technology stack, architectural patterns, and best practices for model development, deployment, and monitoring. - **Project & Budget Management**: - Oversee the entire project lifecycle for AI projects, from ideation to production. - Ensure projects adhere to timelines and budgets, and are delivered with high quality. - **Performance Monitoring**: - Define and implement key performance indicators (KPIs) for the engineering team and AI models. - Regularly report on performance to stakeholders. - **Stakeholder Communication**: - Act as the primary point of contact for the engineering team. - Effectively communicate project status, goals, and technical challenges to both technical and non-technical stakeholders. - **Cross-Functional Collaboration**: - Coordinate with product managers, data scientists, and other internal teams to ensure seamless project execution and alignment on goals. **Qualifications**: - **Education**: - Bachelor's degree in Computer Science, Engineering, or a related field. A Master's or Ph.D. with a specialization in Machine Learning or Artificial Intelligence is a significant plus. - **Experience**: - 3+ years of experience in a management or lead role within an engineering team. - Proven hands-on experience in the AI/ML domain, including developing and deploying machine learning models, working with large datasets, and managing data pipelines. - Experience with cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML services (e.g., Sagemaker, Vertex AI, MLFlow). **Technical Skills (AI Focus)**: - Strong understanding of core machine learning concepts. - Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or Keras. - Proficiency in programming languages commonly used in AI/ML, such as Python and R. - Experience with data processing and big data technologies like Spark, Hadoop, or Dask. - Knowledge of MLOps principles and tools for model versioning, serving, and monitoring. You should possess exceptional interpersonal and communication skills, strong leadership and mentoring abilities, excellent problem-solving skills, and the ability to thrive in a dynamic, fast-paced environment while managing multiple priorities effectively.,