The Associate Software Engineer will design and develop GenAI models using Python and deep learning frameworks. Responsibilities include deploying models on cloud platforms, setting up observability tools, and managing data pipelines. Knowledge of LLMOps practices and big data technologies is required, along with experience in containerization and orchestration.
Job Role and Responsibilities:
- Proficiency in Python and its ML libraries (TensorFlow, PyTorch, Keras, Scikit-learn, etc.).
- Experience with other languages/tools like SQL, Pandas, NumPy, and data manipulation libraries.
- Design and Develop GenAI Models: Leverage language models like GPT3.5, GPT4, Gemini, Llama, or custom Transformer-based models for generative tasks such as text generation, summarization, question-answering ,RAG and chatbots.
- Use frameworks such as Langchain or similar to develop applications that require complex chains of prompts, manage multiple LLM calls, and integrate with external tools or APIs for data retrieval and processing.
- Deploy and scale deep learning and GenAI models using cloud platforms (AWS SageMaker, Google Cloud AI, Azure ML).
- Set up observability tools (Langsmith, Weights and Biases etc) in GenAI applications. Monitor model behavior, understand errors, and fine-tune the application in production.
- Experience in LLMOps practices, including version control (Git), CI/CD pipelines for GenAI models, and experiment tracking with tools like MLflow, Kubeflow, or W&B.
- Strong understanding of deep learning frameworks like TensorFlow, PyTorch, and Keras.
- Experience with neural network architectures like CNNs, RNNs, LSTMs, GANs, and Transformers.
- Experience with data pipelines, data preprocessing techniques, and large-scale datasets.
- Knowledge of big data technologies like Hadoop, Spark, and distributed computing.
- Experience with cloud services for AI/ML (AWS SageMaker, GCP AI, Azure ML).
- Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for AI deployment.
Experience - 5 to 7 Years
Location – Bengaluru
Work Mode - Hybrid
Notice Period - 0 to 15 Days
Top Skills
Python
Similar Jobs
Be an Early Applicant
As a Lead Software Engineer, you'll design and implement end-to-end machine learning solutions, collaborate with teams to translate business requirements, create machine learning pipelines, and mentor junior associates. You'll ensure production-grade code and participate in firm-wide ML communities.
Be an Early Applicant
As a Senior/Lead Software Engineer at HiLabs, you'll work closely with stakeholders to develop and implement scalable machine learning algorithms for healthcare solutions. Responsibilities include deploying AI/ML techniques, optimizing solutions, conducting data analysis, and leading a team to strategize healthcare AI applications.
Be an Early Applicant
The Laboratory Engineer will conduct product testing according to IEC and Indian standards, particularly involving medical products. They will manage projects, ensure compliance with ISO/IEC 17025, and collaborate with teams while handling test equipment and setups. Strong communication and project management skills are required.
What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
