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Location: Bengaluru India

Description: A professional responsible for the technical implementation, customization, and maintenance of SAP TM systems.

  1. SAP TM Technical
  2. Working closely with functional consultant
  3. Knowledge of integration
  4. Documentation, testing, development, design and implementation of technical solutions
  5. Familiarity of UI / building reports is a nice to have

General Notes

  1. Work schedule is flexible – US EST is primary work hours
  2. Indian holidays not US holidays
  3. Hybrid work environment, 1-2 days in office a week
  4. Good communication skills who can work with the business team members

Location: Remote working

Description: A professional with expertise in Solidworks, familiar with both CAD and PDM systems, capable of migrating data and ensuring proper integration.

Job Description:

  • Migrate all necessary CAD data from AutoDesk Fusion 360 to Solidworks 2024.
  • Ensure proper mapping of parent/child BOM relationships and 2D drawings during the migration.
  • Repair the synchronization between Solidworks PDM Professional and the Duro PLM tool.
  • Ensure that 100% of the Burro Grande drawings are available in Duro after the synchronization is completed.
  • Collaborate with stakeholders during overlapping working hours for coordination and handoff meetings.
  • Maintain efficient communication and documentation throughout the project phases.

Qualifications:
– Proficiency in Solidworks, AutoDesk Fusion 360, and experience with PDM and PLM tools.
– Strong understanding of CAD data management and engineering drawing standards.
– Experience in data migration and integration projects.
– Ability to work asynchronously with global teams, especially during specified overlapping hours.

Location: Remote working

Job Description:
An individual skilled in Product Lifecycle Management, particularly experienced with Duro, to handle the synchronization issues and ensure all drawings are correctly uploaded and maintained.

Responsibilities

Qualifications:

Location: Remote working

Job Description:
Someone with experience in migrating CAD data between different systems, ensuring that all parent/child relationships and BOMs are preserved during the transition.

Responsibilities: 

Qualifications:

Location: Chennai , Hybrid
Position: AI Engineer (Senior/Lead)
Experience: 8+ Years

Industry: AI/ML, Enterprise Applications, Healthcare (if applicable)

Role Summary: Seeking an experienced GenAI Engineer to integrate LLM APIs, build AI-driven applications, optimize model performance, and deploy AI services at scale. The ideal candidate has expertise in Python-based AI development, LLM orchestration, cloud deployment, and enterprise AI integration.

Responsibilities

  • Solution Design & Development: Design, develop, and maintain AI-powered applications that integrate existing LLMs with internal systems to automate workflows and optimize processes.
  • API Integration: Develop APIs and data pipelines to seamlessly connect LLMs with internal and external systems, ensuring secure and scalable data exchange.
  • LLM Optimization: Optimize LLM API interactions using prompt engineering, retrieval-augmented generation (RAG), context management, and performance tuning.
  • Platform Evaluation: Assess and compare LLM platforms and tools (e.g., OpenAI, Anthropic, Google) to select the best fit for business needs and technical scalability.
  • Collaboration & Requirements Gathering: Partner with product managers, engineers, and stakeholders to define AI-driven solutions that align with business objectives.
  • Testing & Monitoring: Implement robust testing and monitoring strategies to ensure performance, reliability, and security of LLM-powered applications.
  • Best Practices & Documentation: Contribute to organizational AI best practices, including guidelines on LLM utilization and maintaining well-documented AI solutions.
  • Troubleshooting & Issue Resolution: Identify and resolve LLM integration issues, performance bottlenecks, and data pipeline inconsistencies.
  • Continuous Learning: Research and apply emerging LLM advancements, best practices, and industry trends to enhance AI-powered applications.
  • Code Review & Quality Assurance: Participate in code reviews, ensuring high-quality, maintainable, and well-documented codebases.

Qualifications:

  • Bachelor’s degree in computer science, Engineering, or related field.
  • Proven experience in software development, with strong object-oriented programming and design principles.
  • Experience working with LLMs and related AI frameworks (e.g., LangChain, Vector Databases, RAG).
  • Proficiency in at least one programming language (e.g., Python, Java, JavaScript).
  • Experience with API development and integration (RESTful APIs, GraphQL, cloud-based services).
  • Experience deploying AI solutions in cloud environments (AWS, Azure, GCP, Kubernetes, Serverless).
  • Strong problem-solving and analytical skills.
  • Excellent communication and cross-functional collaboration skills.
  • Passion for AI innovation and automation.

Location: Remote working
Position: AI / ML offshore engineers ASAP

Responsibilities

  • Design and implement AI/ML-powered solutions using C#, .NET, and .NET Core technologies.
  • Build, train, and deploy machine learning models using frameworks like TensorFlow, PyTorch, ML.NET, or custom architectures.
  • Collaborate with data engineers and business analysts to understand, transform, and model complex data sets.
  • Translate high-level business problems into data science and software solutions.
  • Develop RESTful APIs and microservices to operationalize ML models in cloud or on-prem environments.
  • Drive experimentation and model evaluation efforts, tuning hyperparameters, and improving performance metrics.
  • Mentor junior developers and provide technical guidance in AI/ML practices and software design.
  • Stay current on AI/ML trends, tools, and best practices and apply them creatively to solve business problems.

Qualifications:

  • 10+ years of professional experience in software development, with deep expertise in .NET/.NET Core (C#).
  • Proven experience building and deploying machine learning models in production environments.
  • Strong experience with data modeling, feature engineering, and data pipeline design.
  • Solid understanding of machine learning algorithms, statistical modeling, and data science fundamentals.
  • Experience with ML frameworks such as ML.NET, TensorFlow, Scikit-learn, or PyTorch.
  • Familiarity with cloud platforms such as Azure, AWS, or GCP, especially for deploying AI services.
  • Excellent problem-solving skills and the ability to think creatively under pressure.
  • Strong communication skills and ability to collaborate with cross-functional teams.
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