Technical Lead – AUTOSAR

Role & Responsibilities

Contributes to the technical vision for an engineering team, aligning with company-wide strategies and goals.

Contributes to the design and development of robust, scalable, and user-friendly web applications.

Create innovative solutions using the latest technologies and tools for front end development and backend development.

Collaborate with product managers, designers, and engineers to define product direction and to deliver complex applications.

Conduct thorough code reviews and provide constructive feedback to ensure high-quality code.

Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.

Troubleshoot and debug complex issues in production environments, working closely with customer support and operations teams to ensure timely resolution and minimal disruption to business operations

Job Title: AI Engineer

Location: Bengaluru 

Experience: 3 Years 

Working Days: 5 Days

About the Role

We’re reimagining how enterprises interact with documents and workflows—starting with BFSI and healthcare. Our AI-first platforms are transforming credit decisioning, document intelligence, and underwriting at scale. The focus is on Intelligent Document Processing (IDP), GenAI-powered analysis, and human-in-the-loop (HITL) automation to accelerate outcomes across lending, insurance, and compliance workflows.

As an AI Engineer, you’ll be part of a high-caliber engineering team building next-gen AI systems that:

• Power robust APIs and platforms used by underwriters, credit analysts, and financial institutions.
• Build and integrate GenAI agents.
• Enable “human-in-the-loop” workflows for high-assurance decisions in real-world conditions.

Key Responsibilities

• Build and optimize ML/DL models for document understanding, classification, and summarization.
• Apply LLMs and RAG techniques for validation, search, and question-answering tasks.
• Design and maintain data pipelines for structured and unstructured inputs (PDFs, OCR text, JSON, etc.).
• Package and deploy models as REST APIs or microservices in production environments.
• Collaborate with engineering teams to integrate models into existing products and workflows.
• Continuously monitor and retrain models to ensure reliability and performance.
• Stay updated on emerging AI frameworks, architectures, and open-source tools; propose improvements to internal systems.

Required Skills & Experience

• 2–5 years of hands-on experience in AI/ML model development, fine-tuning, and building ML solutions.
• Strong Python proficiency with libraries such as NumPy, Pandas, scikit-learn, PyTorch, or TensorFlow.
• Solid understanding of transformers, embeddings, and NLP pipelines.
• Experience working with LLMs (OpenAI, Claude, Gemini, etc.) and frameworks like LangChain.
• Exposure to OCR, document parsing, and unstructured text analytics.
• Familiarity with model serving, APIs, and microservice architectures (FastAPI, Flask).
• Working knowledge of Docker, cloud environments (AWS/GCP/Azure), and CI/CD pipelines.
• Strong grasp of data preprocessing, evaluation metrics, and model validation workflows.
• Excellent problem-solving ability, structured thinking, and clean, production-ready coding practices.

Title: Azure Cloud Developer/Engineer

Exp: 5+ yrs

Location: T-Hub, Hyderabad

Work from office (5 days/week)

Interview rounds: 2-3

Excellent comm skills

Immediate Joiner

Job Description

Position Overview:

We are seeking a highly skilled Azure Cloud Developer/Engineer with experience in designing, developing, and managing cloud infrastructure solutions. The ideal candidate should have a strong background in Azure infrastructure deployment using Terraform,Kubernetes (AKS) with advanced networking, and Helm Charts for application management.Experience with AWS is a plus. This role requires hands-on expertise in deploying scalable, secure,and highly available cloud solutions with strong networking capabilities.

Key Responsibilities:

• Deploy and manage Azure infrastructure using Terraform through CI/CD pipelines.
• Design, deploy, and manage Azure Kubernetes Service (AKS) with advanced networking features, including on-premise connectivity.
• Create and manage Helm Charts, ensuring best practices for configuration, templating, and application lifecycle management.
• Collaborate with development, operations, and security teams to ensure optimal cloud infrastructure architecture.
• Implement high-level networking solutions including Azure Private Link, VNET Peering, ExpressRoute, Application Gateway, and Web Application Firewall (WAF).
• Monitor and optimize cloud environments for performance, cost, scalability, and security using tools like Azure Cost Management, Prometheus, Grafana, and Azure Monitor.
• Develop CI/CD pipelines for automated deployments using Azure DevOps, GitHub Actions, or Jenkins, integrating Terraform for infrastructure automation.
• Implement security best practices, including Azure Security Center, Azure Policy, and Zero Trust Architecture.
• Troubleshoot and resolve issues in the cloud environment using Azure Service Health, Log Analytics, and Azure Sentinel.
• Ensure compliance with industry standards (e.g., CIS, NIST, ISO 27001) and organizational security policies.
• Work with Azure Key Vault for secrets and certificate management.
• Explore multi-cloud strategies, integrating AWS services where necessary.

Key Skills Required:

• Azure Cloud Infrastructure Deployment: Expertise in provisioning and managing Azure resources using Terraform within CI/CD pipelines.
• Kubernetes (AKS) with Advanced Networking: Experience in designing AKS clusters with private networking, hybrid connectivity (ExpressRoute, VPN), and security best practices.
• Infrastructure as Code (Terraform, Azure Bicep): Deep understanding of defining and maintaining cloud infrastructure through code.
• Helm Charts: Strong expertise in creating, deploying, and managing Helm-based Kubernetes application deployments.
• Networking & Security: In-depth knowledge of VNET Peering, Private Link, ExpressRoute,Application Gateway, WAF, and hybrid networking.
• CI/CD Pipelines: Experience with building and managing Azure DevOps, GitHub Actions, or Jenkins pipelines for infrastructure and application deployment.
• Monitoring & Logging: Experience with Prometheus, Grafana, Azure Monitor, Log Analytics,and Azure Sentinel.
• Scripting & Automation: Proficiency in Bash, PowerShell, or Python.
• Cost Optimization (FinOps): Strong knowledge of Azure Cost Management and cloud financial governance.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in cloud engineering, preferably with Azure-focused infrastructure deployment and Kubernetes networking.
• Strong understanding of containerization, orchestration, and microservices architecture.

Certifications (Preferred):

Required:

• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Azure DevOps Engineer Expert

Nice to Have (AWS Experience):

• AWS Certified Solutions Architect – Associate or Professional
• AWS Certified DevOps Engineer – Professional

Nice to Have Skills:

• Experience with multi-cloud environments (Azure & AWS).
• Familiarity with container security tools (Aqua Security, Prisma Cloud).
• Experience with GitOps methodologies using tools like ArgoCD or Flux.
• Understanding of serverless computing and event-driven architectures (Azure Functions, Event Grid, Logic Apps).

Benefits

Why Join Us?

• Competitive salary with performance-based incentives.
• Opportunities for professional certifications (e.g., AWS, Kubernetes, Terraform).
• Access to training programs, workshops, and learning resources.
• Comprehensive health insurance coverage for employees and their families.
• Wellness programs and mental health support.
• Hands-on experience with large-scale, innovative cloud solutions.
• Opportunities to work with modern tools and technologies.
• Inclusive, supportive, and team-oriented environment.
• Opportunities to collaborate with global clients and cross-functional teams.
• Regular performance reviews with rewards for outstanding contributions.
• Employee appreciation events and programs.

Job responsibilities for a Business Development Executive (BDE) with 0-1 year experience, focusing on skills such as communication, bidding experience, Upwork and LinkedIn knowledge, marketing strategy, marketing search, international business knowledge, and international market expertise, might include:

1. Market Research and Analysis:

• Conduct research on international markets to identify potential opportunities for business expansion.
• Analyze market trends, competitor strategies, and customer preferences to inform business development strategies.

1. Bidding and Proposal Writing:

• Prepare and submit bids on platforms like Upwork, focusing on international clients.
• Craft persuasive proposals outlining services, pricing, and timelines to win projects.
• Engage in negotiations with clients to secure favorable terms and agreements.

1. Client Communication and Relationship Building:

• Communicate effectively with clients through various channels such as email, phone calls, and video conferences.
• Build and maintain strong relationships with clients to foster long-term partnerships.
• Address client inquiries, concerns, and feedback promptly and professionally.

1. Marketing Strategy Development:

• Collaborate with the marketing team to develop and implement effective marketing strategies targeting international markets.
• Utilize LinkedIn and other platforms to promote services, build brand awareness, and generate leads.
• Monitor the performance of marketing campaigns and make recommendations for optimization.

1. International Business Expansion:

• Assist in the development of strategies for expanding the company's international presence.
• Identify potential business partners, distributors, or collaborators in target markets.
• Coordinate with internal teams to ensure compliance with international regulations and standards.

1. Documentation and Reporting:

• Maintain accurate records of client interactions, proposals, and contracts.
• Prepare regular reports on business development activities, including lead generation, conversion rates, and revenue projections.
• Provide insights and recommendations based on data analysis to improve business development strategies.

1. Continuous Learning and Skill Development:

• Stay updated on industry trends, market dynamics, and emerging technologies related to international business development.
• Participate in training programs and workshops to enhance skills in areas such as communication, negotiation, and marketing.

1. Team Collaboration:

• Collaborate with cross-functional teams including sales, marketing, and operations to ensure alignment of business development activities with overall company objectives.
• Support team members in achieving their goals and contribute to a positive and collaborative work environment.

Role and Responsibilities:

As an HMI Developer, you will be responsible for the entire HMI development process, from requirement analysis to release and deployment. You should have a strong understanding of the automotive domain, particularly in the areas of infotainment and cluster systems. Your coding skills should be exceptional, with expertise in C++. Hands-on experience with HMI frameworks like EB Guide, QT QML, Kanzi Studio, Altia, or Unreal is necessary. Additionally, you should possess debugging skills with standard debugger, toolchains, and target hardware such as infotainment units, digital clusters, or HUDs. Knowledge of automotive domain and communication protocols like CAN, LIN, MOST, UART, and JTAG is a must. Familiarity with design principles and UX processes is beneficial. Proficiency in version control systems like Git, project management tools like Jira, requirements management tools like Doors, and UML is required. It would be advantageous to have experience with model-based design and knowledge of operating systems like QNX, Linux, and other real-time operating systems. Understanding embedded device and microcontroller workings would also be beneficial.

Candidate Qualifications:

- Bachelor's degree in Computer Science, Electrical Engineering, or a related field

- Minimum of 3 years of experience in HMI development

- Strong problem-solving and analytical skills

- Excellent communication and teamwork abilities

Required Skills:

• Overall HMI development process
• Automotive domain with Infotainment/Cluster
• Strong coding experience in C++
• Hands-on experience in HMI frameworks like EB Guide, QT QML, Kanzi Studio, Altia, Unreal, etc.
• Debugging skills with standard debugger and toolchains
• Knowledge of automotive domain and communication protocols (CAN, LIN, MOST, UART, JTAG)
• Knowledge of design principles and UX process (good to have)
• Working experience in Git, Jira, Doors, UML, etc.
• Model-based design experience (good to have)
• Knowledge of operating systems like QNX, Linux, and other RTOS (good to have)
• Knowledge of embedded devices and microcontroller workings (good to have)

Causality Biomodels is an Indo-German life science informatics company that focuses on the development of data-based solutions in the bioinformatics sector. Specifically, we work using semantic integration & information extraction methods, knowledge & data organization, and advanced statistical & machine learning techniques in the context of life sciences.

The team Causality Biomodels is searching for a full stack developer with a strong focus on Python, capable of taking on a lead developer role.

You will be mainly focusing on the following areas:

• Implementing new features by modifying our backend system and UI according to the product backlog and discussions with the team.
• Rapid prototyping to explore new directions based on current research developments.
• Design, development and maintenance of APIs, as well as product and add-on components.
• Maintenance of code integrity and organization.

The requirements are:

• Successfully completed bachelor’s or master’s degree in computer science or in related fields such as Bioinformatics.
• At least 2 years of professional software engineering experience.
• High proficiency in Python and ability to write clean and well-documented code (must).
• Experience with cloud-based development using AWS (preferred), GCP or Azure.
• Experience with Docker and container-based deployment.
• Proficiency in JavaScript.
• Experience with at least one database system (SQL or no-SQL).
• High familiarity with Git.
• Experience with agile development practices.
• Experience with CI/CD and automated testing.
• Very strong English skills (both verbal and written).

Bonus points for:

• Knowledge about machine learning or data science.
• Experience with Python packages SpaCy, scikit-learn, flask and fastapi.
• Experience with JavaScript libraries React and Redux/Context.
• Experience with Gitlab CI/CD pipelines.
• Experience working with knowledge graph data.
• Knowledge and experience in bioinformatics methods.