Number of Role 10

Job Title: Senior AI/ML Engineer (Generative AI ML Ops)

Location - Bangalore (Hybrid -3 Days office)

Year of exp - 3+ to 8 Years

Preferred - Immediate or 30 Days notice only.

Interview Mode - F2F in Bangalore office. Reporting time between Mon-Fri 10 AM - 2 PM

Interview Process - This will be 2 hours technical interview with include coding rounds on basic Python and AI/ML libraries + Technical interaction.

Job description:

What Do We Expect From You

Required Skills and Expertise:

AI/ML Strategy and Leadership:

- Define the AI/ML strategy and roadmap aligned with the product vision.
- Identify and prioritize AI/ML use cases, including classical ML, Generative AI, and Agentic AI, relevant to our product offerings.
- Build and lead a high-performing AI/ML team by mentoring and upskilling existing non-AI/ML team members.
- Stay updated with the latest advancements in AI/ML, generative AI, Agentic AI and ML Ops, and apply them to solve business problems.

AI/ML Development:

- Proficient in Python programming and libraries like NumPy, Pandas, Scikit-lelearn, and Matplotlib.
- Strong understanding of machine learning algorithms, deep learning architectures, and generative AI models.
- Design, develop, and deploy classical machine learning models, including supervised, unsupervised, and reinforcement learningtechniques.
- Hands on Experience in AI/ML Framework like: Scikit-lelearn, XG Boost, TensorFlow, Py Torch, Keras, Hugging Face, OpenAI APIs (e.g., GPT models).
- Experience with feature engineering, model evaluation, and hyperparameter tuning.




- Experience with Lang Chain modules, including Chains, Memory, Tools, and Agents.
- Build and fine-tune generative AI models (e.g., GPT, DALL-E, Stable Diffusion) for specific use cases.
- Must Have Exp. in any Agentic AI framework. Leverage LLMs (e.g., GPT, Claude, LLaMA) and multi-modal models to build intelligent agents that can interact with users and systems.
- Design and develop autonomous AI agents capable of reasoning, planning, and executing tasks in energetic environments.
- Implement prompt engineering and fine-tuning of LLMs to optimize agent behaviour for specific tasks.
- Optimize models for performance, scalability, and cost-efficiency.

ML Ops and DevOps for AI/ML:

- Establish and maintain an end-to-end MLOps pipeline for model development, deployment, monitoring, and retraining. Automate model training, testing, and deployment workflows using CI/CD pipelines.
- Implement robust version control for datasets, models, and code.
- Monitor model performance in production and implement feedback loops for continuous improvement.
- Proficiency in MLOps tools and platforms such as MLflow, Kubeflow, TFX, SageMaker.
- Familiarity with CI/CD tools like Jenkins, GitHub Actions, or GitLab CI for AI/ML workflows.
- Expertise in deploying models on cloud platforms (AWS, Azure, GCP)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI/ML Engineer (Karnataka)
🏢 IBU Consulting
📍 Karnataka