Open Positions

AI Engineer (Remote)

  • We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented Generation (RAG), and Generative AI. The role involves building advanced AI solutions that leverage state-of-the-art technologies.

    Key Responsibilities:

    • Design, fine-tune, and deploy LLMs using frameworks like Hugging Face or OpenAI APIs.

    • Build and implement RAG pipelines with vector databases (e.g., Pinecone, FAISS).

    • Develop Generative AI solutions, including chatbots, summarization, and content creation tools.

    • Preprocess, clean, and annotate datasets for training and evaluation.

    • Optimize models for performance using techniques like quantization and pruning.

    • Deploy scalable solutions in production using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).

    • Monitor and troubleshoot deployed models for accuracy and reliability.

    • Collaborate with cross-functional teams to align AI capabilities with business objectives.

    • Stay updated with advancements in AI/ML research and integrate best practices.

    Requirements:

    • Proficiency in Python, ML & NLP frameworks (Hugging Face, spaCy, PyTorch, TensorFlow).

    • Strong understanding of transformer architectures and generative models like GPT or BERT.

    • Experience with vector search databases (Pinecone, Weaviate, Elasticsearch).

    • Familiarity with cloud-based AI platforms and containerization tools.

    • Excellent problem-solving, analytical, and communication skills.

Data Architect (Remote)

  • We are seeking a highly skilled and experienced Data Engineering Lead/Architect to join our dynamic team. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines, with strong expertise in Python programming, cloud technologies, and large-scale data systems. If you have a passion for working with data and enabling AI/ML capabilities in products, we want to hear from you.

    Key Responsibilities:

    • Design, develop, and maintain robust and scalable data pipelines to support analytics and machine learning applications.

    • Collaborate with cross-functional teams, including data scientists and software engineers, to implement data-driven solutions.

    • Optimize and manage data storage systems and ensure high availability, reliability, and performance.

    • Design, develop, and maintain robust and scalable ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) data pipelines to support analytics and machine learning applications.

    • Ensure data pipelines are optimized for efficiency, reliability, and scalability, handling both structured and unstructured data seamlessly.

    • Handle large-scale datasets, ensuring data integrity and consistency across platforms.

    • Provide technical expertise and mentorship to junior engineers and stakeholders.

    • Implement best practices in data engineering, including version control, testing, and deployment.

    • Stay updated with emerging technologies and tools in data engineering, AI/ML, and cloud ecosystems.

    Requirements:

    • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

    • Minimum 5+ years of hands-on experience in data engineering or related roles.

    • Proficiency in Python programming and its data-processing libraries (e.g., Pandas, PySpark).

    • Proven expertise in handling large-scale data systems such as distributed databases, data warehouses, and data lakes.

    • Strong experience with cloud platforms (AWS, Azure, or GCP) and associated tools for data storage, processing, and orchestration.

    • Practical knowledge of data pipeline frameworks like Apache Airflow, Kafka, or Spark.

    • Hands-on technical expertise in designing and implementing end-to-end data solutions.

    • Familiarity with Generative AI (GenAI) and AI/ML technologies.

    What We Offer:

    • Enjoy the flexibility to work from the comfort of your home, with no commute hassles.

    • Work directly with the CXO team, gaining valuable insights and contributing to strategic decisions.

    • Take the opportunity to initiate, own, and drive impactful data engineering projects across the organization.

    • Become a key member of the engineering leadership team, driving innovation and excellence within the data domain.

    • Work with state-of-the-art technologies in AI, ML, and data engineering.

    • Competitive compensation and ample opportunities for career growth.

Kubernetes Architect (Remote)

  • We are currently looking for an experienced Kubernetes Architect to join our team at Innowhyte Inc. If you have a passion for designing and implementing complex virtualized infrastructure in both bare metal and cloud environments, we’d love to hear from you!

    Key Responsibilities:

    • Architect and implement virtualized infrastructure and software platforms across bare metal and cloud environments.

    • Lead and review designs, test plans, and go-to-market strategies.

    • Create and maintain architectural documentation using models such as C4, UML, and sequence diagrams.

    • Ensure high availability, security, and scalability across distributed systems.

    Required Skills & Experience:

    • Deep expertise in Linux OS, networking, virtualization, and storage.

    • Strong knowledge of Kubernetes ecosystems (APIs, configuration, operations, best practices).

    • Experience designing and implementing bare metal Kubernetes solutions (LXC/LXD, Podman, K3s, etc.).

    • Hands-on experience with:

      • Container networking (CNI): Calico, Cilium, Multus, eBPF.

      • Container storage (CSI): Ceph, GlusterFS, Longhorn.

      • DevOps & CI/CD: GitLab, Helm, ArgoCD, Prometheus.

    • Extensive experience troubleshooting Kubernetes infrastructure and application environments.

    • Familiarity with cloud-native Kubernetes, particularly AWS.

    • Experience with Kubernetes cluster management tools (Rancher, Portainer, Rafay) is a plus.

    • Knowledge of Kubernetes operator development is a plus.

    • Strong collaboration, communication, and Agile product delivery skills.