About Mitsogo | Hexnode

Mitsogo is a global organization that highly values the contributions of each employee. Our ability to attract top talent is a testament to our commitment to fostering a sense of belonging for everyone. We recognize the rapid evolution of technology and society that impacts our industry, and we prioritize equipping our employees with diverse opportunities and empowering them with a wide range of skills. 

Hexnode, the Enterprise software division of Mitsogo Inc., was founded to simplify how people work. Operating in over 100 countries, Hexnode UEM empowers organizations in diverse sectors. Fueling the transformation to a seamless ecosystem of connected tools, Hexnode is revolutionizing the enterprise software and cybersecurity landscape. 

Job Overview:

As an Endpoint System Engineer (3+ Years), you will play a crucial role in ensuring client satisfaction by providing timely and effective technical assistance.Do you thrive on solving puzzles and empowering others? Are you passionate about technology and eager to make a real impact? If so, Hexnode has the perfect opportunity for you! We’re seeking a highly motivated and customer-centric Endpoint System Engineer (3+ Years) to join our dynamic team. As the front line of our customer experience, you’ll be instrumental in ensuring our clients get the most out of Hexnode’s cutting-edge Unified Endpoint Management (UEM) solution. You’ll be more than just a technical support agent – you’ll be a trusted advisor, a problem solver, and a champion for our customers.

Responsibilities:

You will be engaging with clients to understand their current device management challenges, their IT infrastructure, their security requirements, and their long-term goals.This involves asking insightful questions and actively listening to their responses.Handle incoming technical quires, via calls, emails, and chat messages from the Customers,experiencing technical issues. This might involve recommending specific configurations,integrations, or workflows that will best serve the client.

• Diagnose and troubleshoot technical issues related to our product. You’ll work closely with other teams, engineering, product management, and including sales teams to ensure seamless customer experience.
• You'll need a strong understanding of Hexnode's features, its architecture, and its integration capabilities. You should be able to answer technical questions confidently and address any concerns the client may have and provide step-by-step guidance and solutions to clients, ensuring a positive customer experience.
• Escalate complex technical issues to the appropriate internal teams for resolution.
• Stay up to date with the latest features and updates of our unified endpoint management product. You'll need to stay updated on the competitive landscape, understanding the trends, changes in cybersecurity industry, and be the evangelists of UEM products, get an in-depth knowledge on UEM product lines.
• Provide product training to clients and internal teams as needed. Document and track support issues to maintain a comprehensive knowledge base.
• Communicate effectively with customers, keeping them informed of the status of their tech requests. You are often the first point of contact for potential customers, and your professionalism and expertise can significantly influence their perception of Hexnode.
• Ensure a high level of customer satisfaction through professional and courteous communication. You're on the front lines, interacting directly with potential clients. This gives you valuable insights into market trends, customer needs, and areas where Hexnode can improve. You should actively collect this feedback and share it with the product development team.

Requirements

• Excellent communication skills: You can clearly and concisely explain technical concepts to both technical and non-technical audiences and · effective communication with interpersonal skills.
• Strong problem-solving abilities: Proven experience in technical support or a similar customer-facing role and the ability to identify the root cause of issues and implement effective solutions.
• Technical aptitude: Excellent troubleshooting and problem-solving skills. Should be comfortable working with technology and eager to learn new systems. Prior experience in a IT management, , Asset management, and Cybersecurity or relevant environment and a strong understanding of UEM and related technologies is a plus.
• Strong organizational skills: You can manage multiple tasks and prioritize effectively in a fast-paced environment. Your approach challenges with enthusiasm and a can-do spirit and the ability to work independently and collaboratively in a fast-paced environment.
• A team player mentality: You thrive in a collaborative environment and are willing to go the extra mile to support your colleagues.• Bachelor’s degree in a relevant technical field or equivalent work experience. (BE in
• Computer Science & Engineering, Electrical & Electronics Engineering, Electronics Engineering etc….).

Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell® Fusion, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day.

We are embarking on a transformative journey with DriveWell Atlas, a groundbreaking initiative to build a family of novel AIs on telematics data. As a Senior Machine Learning Engineer, Foundation Models on the DriveWell Atlas team, you will help design and develop next-generation AI models that advance CMT’s capabilities in risk assessment, driver engagement, crash detection, and claims processing. This role offers the opportunity to work at the intersection of cutting-edge AI research and real-world telematics applications.

CMT is looking for a collaborative, customer-committed, and creative Senior Machine Learning Engineer, Foundation Models who wants to join us in making roads safer by making drivers better!

Responsibilities:

• Contribute to the design, training, and deployment of novel AI models for telematics applications
• Develop algorithms that model physical phenomena associated with vehicle and human movement
• Explore and implement advanced self-supervised learning methods tailored to multi-modal telematics sensor data
• Fine-tune upstream pretrained models or leverage their embeddings to solve downstream telematics tasks such as crash detection, driver risk scoring, and claims processing
• Build models robust to noise, missing data, and diverse real-world operating conditions
• Collaborate with engineers and product teams to integrate AI models into production systems
• Develop scalable training and inference pipelines using frameworks such as Ray, PyTorch DDP, or Horovod
• Optimize models for efficient deployment across cloud and edge/mobile environments
• Stay current with AI/ML research, applying new techniques to real-world telematics challenges
• Document and present findings, contributing to CMT’s AI/ML knowledge base
• Support junior team members through code reviews, collaboration, and knowledge sharing
• Complete any additional tasks as they arise

Qualifications:

• Bachelor’s degree or equivalent years of experience and/or certification in Artificial Intelligence, Computer Science, Electrical Engineering, Physics, Mathematics, Statistics, or a related field
• 4+ years of relevant experience in AI/ML (post-degree)
• Strong hands-on experience developing and training deep learning models, preferably transformers for time-series or multimodal data
• Familiarity with self-supervised learning and representation learning on noisy sensor data
• Proficiency in Python and data science libraries (e.g., Pandas, NumPy, scikit-learn)
• Strong experience with PyTorch (preferred) or TensorFlow for deep learning
• Practical experience with distributed training methods and efficient model training
• Experience with data processing pipelines and ML infrastructure (e.g., Spark, Airflow, Docker, AWS/GCP/Azure)
• Excellent problem-solving skills and ability to translate complex business problems into AI solutions
• Strong communication skills to effectively present technical concepts to diverse audiences
• Product-focused mindset with a track record of delivering impactful ML solutions

Nice to Haves:

• Master’s or PhD preferred
• Experience with model interpretability and explainability techniques (XAI)
• Familiarity with ethical AI principles, bias detection, and mitigation strategies
• Exposure to MLOps practices for managing the ML lifecycle
• Publications or open-source contributions in AI/ML

Compensation and Benefits:

• Fair and competitive salary based on skills and experience
• Equity may be awarded in the form of Restricted Stock Units (RSUs)
• Medical Benefits (Health insurance, Personal accident insurance, Group term life insurance), gratuity, parental leave, sick leave and public holidays
• Employees are eligible for flexible allowances which includes Leave Travel Assistance, Telephone/Mobile Expenses, Professional development expenses, Meals Coupon, Vehicle Reimbursement
• Flexible scheduling and work from home policy depending on role and responsibilities

Additional Perks:

• Feel great working to improve road safety around the world!
• Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness
• Extensive education and employee assistance programs
• CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.