OIP Robotics

As a Solution Engineer, you will leverage your strong technical skills and leadership abilities to drive innovative solutions in a dynamic environment. Your role will involve proactively identifying and addressing product-level challenges, defining technical requirements, and executing high-impact work that contributes to the success of our projects. You will collaborate with cross-functional teams while mentoring junior engineers, ensuring the delivery of robust solutions that meet business needs.

Qualifications:

• 3+ years of experience in a solution engineering or similar technical role.
• Strong understanding of software development lifecycle, project management methodologies, and technical solution modeling.
• Expertise with JSON, XML, API services, Microsoft SQL, and experience with project management tools such as JIRA and ACE.
• Strong analytical and problem-solving skills with the ability to conduct in-depth analysis of business processes and requirements.
• Excellent verbal and written communication skills, capable of conveying complex technical information clearly and effectively.
• Experience in creating functional specifications, system architecture documentation, and user guides.
• Knowledge of agile methodologies and ability to facilitate agile practices within the team.

Responsibilities:

• Proactively identify and address product-level challenges, delivering innovative technical solutions that align with strategic goals.
• Engage with stakeholders, including business leaders and development teams, to define technical requirements and scope of projects.
• Oversee the integration of new systems or technologies with existing ones, ensuring seamless functionality and data flow.
• Identify potential risks and challenges related to system changes, proposing mitigation strategies to ensure project success.
• Ensure the quality, reliability, and security of implemented solutions through rigorous testing and validation processes.
• Create and maintain detailed documentation for functional specifications, system architecture, and user guides.
• Actively initiate improvements in team and company processes, identifying opportunities to enhance existing workflows and systems.
• Provide mentorship and guidance to less experienced engineers, fostering a culture of knowledge sharing and growth within the team.
• Stay current with the latest tools and technologies in the rapidly evolving solution engineering landscape to effectively address changing business needs.

We seek a skilled AI Engineer with a background in AI research, machine learning, and data science to join our innovative team! This is an exciting opportunity for an individual with extensive AI experience eager to work on cutting-edge projects, turning research into practical AI applications. You will collaborate with cross-functional teams to design, develop, and implement AI solutions that enhance business operations and decision-making processes.

What We’re Looking For

● Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. A PhD in AI or a related discipline is highly desirable.

● Experience:

○ Proven experience in AI research and implementation, with a deep

understanding of both theoretical and practical aspects of AI.

○ Strong proficiency in machine learning (ML), data science, and deep learning techniques.

○ Hands-on experience with Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc.

○ Experience with data preprocessing, feature engineering, and data

visualization.

○ Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI and ML deployment.

○ Strong analytical and problem-solving skills.

○ Ability to translate AI research into practical applications and solutions.

○ Knowledge of AI model evaluation techniques and performance optimization.

○ Strong communication skills for presenting research and technical details to non- technical stakeholders.

○ Ability to work independently and in team environments.

Preferred Qualifications

● Experience working with natural language processing (NLP), computer vision, or reinforcement learning.

What You’ll Be Doing

● Conduct advanced AI research to develop innovative solutions for business challenges.

● Design, develop, and train machine learning models, including supervised, unsupervised, and deep learning algorithms.

● Collaborate with data scientists to analyze large datasets, identify patterns, and extract actionable insights.

● Work with software development teams to integrate AI models into production environments.

● Leverage state-of-the-art AI tools, frameworks, and libraries to accelerate AI development.

● Optimize AI models for accuracy, performance, and scalability in real-world applications.

● Collaborate closely with cross-functional teams, including product managers, software engineers, and data scientists, to implement AI-driven solutions.

● Document AI research outcomes, development processes, and performance metrics. Present findings to stakeholders in an easily understandable manner.

What We’re Looking For:

● Experience: Minimum of 3 years as an IT Help Desk Support Specialist or similar role.

● Technical Skills:

○ Proficiency in Windows 10 and Windows 11

operating systems.

○ Basic knowledge of Windows Server

administration.

○ Familiarity with network troubleshooting,

including subnets and VLANs.

○ Experience with various client VPN

connections and troubleshooting.

○ Ability to troubleshoot remote client

technologies (Remote Desktop, Citrix, VMware).

● Communication Skills: Exceptional verbal and written communication skills in English.

● Customer Service: Strong customer-oriented attitude with excellent problem-solving abilities.

● Additional Skills (Preferred but not required):

○ Familiarity with MikroTik and TP-Link

networking equipment.

○ Familiarity with Google Workspace.

● Certifications: Relevant IT certifications are a plus.

What You’ll Be Doing

● First-Level Support: Provide prompt and effective solutions for network, hardware, software, and application issues within our Hyderabad office.

● Remote Assistance: Offer support to employees in our global offices through remote troubleshooting and problem resolution.

● Vendor Coordination: Communicate with vendors for equipment orders, warranty tracking, and service arrangements.

● Inventory Management: Maintain accurate records of office equipment inventory and assignments, ensuring regular updates.

● Windows OS Proficiency: Install, configure, and troubleshoot Windows 10 and Windows 11 operating systems.

● Basic Server Administration: Perform tasks related to Windows Server to support network connectivity, accessibility, and user management.

● Network Troubleshooting: Diagnose and resolve network problems, including connectivity issues, subnets, and VLANs.

● VPN Management: Manage and troubleshoot various client VPN connections to ensure secure and stable remote access.

● Remote Client Support: Troubleshoot issues with VMware, Microsoft Remote Desktop, Citrix, and other remote access tools.

● Cybersecurity Awareness: Promote best security practices and raise cybersecurity awareness among staff.

● Ticketing System Management: Monitor and track support requests using the internal ticketing system, ensuring timely resolutions.

● Issue Escalation: Promptly escalate unresolved issues to appropriate internal teams or vendors.

● Independent Problem-Solving: Work autonomously to resolve problems efficiently.

● Documentation: Interact effectively with end-users and document all support activities.

● Continuous Learning: Stay updated with the latest technologies and best practices in IT support.

What We’re Looking For

Proven experience as a Machine Learning Engineer, Data Scientist, or similar role

Expertise in applying machine learning algorithms, deep learning, and data mining techniques in an enterprise environment

Strong proficiency in Python (or other languages) and familiarity with libraries such as Scikit-learn, TensorFlow, PyTorch, or similar.

Experience working with natural language processing (NLP) or computer vision is highly desirable.

Understanding and experience with (MLOps), including model development, deployment, monitoring, and maintenance.

Experience with cloud platforms (like AWS, Google Cloud, or Azure) and knowledge of deploying machine learning models at scale.

Familiarity with data architecture, data engineering, and data pipeline tools.

Familiarity with containerization technologies such as Docker, and orchestration systems like Kubernetes.

Knowledge of the insurance sector is beneficial but not required.

Bachelor's/Master's degree in Computer Science, Data Science, Mathematics, or a related field.

What You’ll Be Doing

Algorithm Development:

Design and implement advanced machine learning algorithms tailored for our datasets.

Model Creation:

Build, train, and refine machine learning models for business integration.

Collaboration:

Partner with product managers, developers, and data scientists to align machine learning solutions with business goals.

Industry Innovation:

Stay updated with Insurtech trends and ensure our solutions remain at the forefront.

Validation:

Test algorithms for accuracy and efficiency, collaborating with the QA team.

Documentation:

Maintain clear records of algorithms and models for team reference.

Professional Growth:

Engage in continuous learning and mentor junior team members.