Engineering Manager

Key Responsibilities:

• Develop and deploy machine learning, deep learning, and NLP models for various business use cases.
• Build end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and production deployment.
• Optimize model performance and ensure scalability in production environments.
• Work closely with data scientists, product teams, and engineers to translate business requirements into AI solutions.
• Conduct data analysis to identify trends and insights.
• Implement MLOps practices for versioning, monitoring, and automating ML workflows.
• Research and evaluate new AI/ML techniques, tools, and frameworks.
• Document system architecture, model design, and development processes.

Required Skills:

• Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
• Hands-on experience in building and deploying, finetuning ML/DL models in production.
• Good understanding of machine learning algorithms, neural networks, NLP, and computer vision.
• Experience with REST APIs, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
• Working knowledge of MLOps tools such as MLflow, Airflow, DVC, or Kubeflow.
• Familiarity with data pipelines and big data technologies (Spark, Hadoop) is a plus.
• Strong analytical skills and ability to work with large datasets.
• Excellent communication and problem-solving abilities.
• Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc.).
• Experience in LLM fine-tuning or Generative AI, Voice AI, is an added advantage.

Educational Qualification:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, IT, from IIT/NIT colleges strongly preferred

We are seeking a skilled and detail-oriented Member of Technical Staff focusing on Network Infrastructure, Linux Administration and Automation. The role involves managing and maintaining Linux-based systems and infrastructure, automating repetitive tasks, and ensuring smooth operation.

Requirements

• In-depth experience with Linux systems (configuration, troubleshooting, networking, and administration)
• Network infrastructure management knowledge. CCNA/CCNP or an equivalent certification is a plus
• Scripting skills in at least one language (e.g., Bash, Python, Go).
• Knowledge of version control systems like Git and experience with branching, merging, and tagging workflows
• Experience with virtualization technologies such as Proxmox or VMWare, including the design, implementation, and management of virtualized infrastructures. Understanding of virtual machine provisioning, resource management, and performance optimization in virtual environments.
• Experience with containerization technologies like Docker
• Familiarity with monitoring and logging tools.
• Experience with end point security.

Responsibilities

• Network Infrastructure Management: Configure, manage, and troubleshoot routers, switches, firewalls, and wireless networks, Maintain and optimize network performance to ensure reliability and security.
• Linux Administration: Manage and maintain Linux-based systems, ensuring high availability and performance.
• Infrastructure Management: Managing servers, networks, storage, and other infrastructure components, capacity planning, and disaster recovery.
• Automation: Scripting (Bash, Python, Golang, etc.), configuration management (Ansible, Puppet, Chef).
• Virtualization: Design, implement, and manage virtualized environments, ensuring optimal performance and resource efficiency.

Enjoy a great environment, great people, and a great package

• Stock Appreciation Rights - Generous pre series-B stock options
• Generous Gratuity Plan - Long service compensation far exceeding Indian statutory requirements 
• Health Insurance - Premium health insurance for employee, spouse and children 
• Working Hours - Flexible working hours with sole focus on enabling a great work environment 
• Work Environment - Work with top industry experts in an environment that fosters co-operation, learning and developing skills 
• Make a Difference - We're here because we want to make an impact on the world - we hope you do too!

Must Have : 

• At least 3-5 years of experience in AS400 as a WMS solution
• At least 3 years experience in end to end implementations, Rollout / support experience and warehouse automation.
• Strong customizing experience / Configuration experience
• Knowledge of cross integration - API & other interconnection methods
• Strong knowledge on SQL database query
• Ability to write technical documentation from Business requirements
• Knowledge on programming language like Report Program Generator and SQL
• Worked on setting up warehouse structure and expertise in all the processes Inbound,Outbound, Internal Cross docking etc. 
• Functional consulting experience to enable strong decision making
• Provide users with expert guidance on the features and usage of the process and tool
• Analyze user configuration,unit test, Integration testing 
• Having an strong understanding on automation and mechanization projects like conveyor , Auto guided vehicles 
• Assist the users with user acceptance testing and the On floor go live Support 
• Technical skills to write codes, Debug, Find the root cause of issue and provide the permanent solutions.
• Having knowledge on ticketing and defect management tools 
• Knowledge on integration technologies like JSON, MFS, RFC, MFS to communicate with other ERP & transactional systems.

As a Branding and Communication Specialist, you will be responsible for developing and executing strategic branding and communication initiatives to enhance the visibility, reputation, and market positioning of our organization or client. You will play a pivotal role in shaping the brand identity, messaging, and storytelling across various channels to effectively engage target audiences and stakeholders.

Key Responsibilities:

• Brand Strategy Development: Collaborate with internal stakeholders to define and refine brand positioning, values, and messaging strategies. Develop comprehensive brand guidelines to ensure consistency across all communication touchpoints.
• Communication Planning: Develop and execute integrated communication plans that align with the overall brand strategy and business objectives. Identify target audiences, key messages, and optimal channels for reaching and engaging stakeholders.
• Content Creation and Management: Create compelling and relevant content for various communication channels, including websites, social media, blogs, press releases, and marketing collateral. Develop storytelling narratives that resonate with target audiences and reinforce brand messaging.
• Collaboration and Coordination: Collaborate closely with cross-functional teams, including marketing, digital, and creative teams, to ensure alignment and synergy across branding and PR efforts. Coordinate PR activities with marketing campaigns and initiatives for maximum impact.

About the Company –

OTO is re-imagining how 20M two-wheelers are bought & financed every year in India. We aim to simplify

the complete experience of buying and owning a two-wheeler by building products that are customer-centric and scalable. We are backed by some of the best Fintech Experts and Institutional Funds in the

country

Designation - Assistant Manager - Sales Trainer

Skills and Qualifications

Bachelor’s Degree.

3 to 5 years of experience.

Experience developing training materials.

Attention to detail.

Excellent written and oral communication skills

Fluency in Hindi is a must.

Job Responsibilities and Duties:

Complete training for all new hires and continual training for the entire sales staff.

Discipline and provide coaching to salespeople as necessary.

Engage in one-on-one reviews with salespeople to maximize performance.

Strategize new training methods to be implemented.

Partner with sales and marketing departments to set and progress toward goals.

Collect and interpret data to determine the effectiveness of training techniques.

Write and publish training materials.

Responsibilities

• Developing new user-facing features using React.js
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers

Skills

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (such as Flux or Redux)
• Knowledge of isomorphic React is a plus
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools such as Git, SVN, and Mercurial

MLOps Engineer

Required Candidate profile :

• 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
• Candidate with strong Azure expertise
• Exposure of Productionize the models
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
• Proficient knowledge of git, Docker and containers, Kubernetes
• Familiarity with Terraform
• E2E production experience with Azure ML, Azure ML Pipelines
• Experience in Azure ML extension for Azure Devops
• Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
• Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
• Candidate with strong Azure expertise
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops