Senior AI Engineer
Innosential
Bengaluru, Karnataka, IndiaFresher2h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 1 year
- Must know
- Data structures & algorithmsETLPythonJavaC++Machine learning
- Work
- Hybrid in Bengaluru
- Pay
- Not stated by the employer.
- Skill demand
- Python61%Data structures & algorithms17%ETL15%Java7%of 99 similar fresher jobs posted in India this week
- Listed
- 11 Nov 2026 · still open
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About Innosential
Innosential is an AI-focused organization that helps enterprises build innovative, AI-driven solutions that solve real-world problems and deliver measurable value. Through its three core offerings, the company supports clients across strategy, implementation, and talent development in AI and data science.
About the Role
The Senior AI Engineer will design, develop, and deploy advanced AI systems that address complex enterprise use cases, with a focus on scalable architectures and robust production-grade solutions. This full-time, hybrid role is based in Bengaluru.
Key Responsibilities
- Researching and prototyping new models.
- Implementing and optimizing algorithms.
- Building data pipelines.
- Integrating AI components into existing products and platforms.
- Collaborating with cross-functional teams to translate business requirements into technical solutions.
- Mentoring junior engineers.
- Contributing to best practices in MLOps, model evaluation, and responsible AI.
- Supporting internal knowledge sharing.
- Reviewing curricula.
- Helping shape reusable AI assets and frameworks.
Requirements & Tech Stack
- Proficiency in one or more programming languages commonly used in AI (such as Python, Java, or C++).
- Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with MLOps practices.
- Experience with cloud platforms.
- Experience with CI/CD for AI systems.
Qualifications
- Strong foundation in Artificial Intelligence, Computer Science, and Software Development.
- Experience in building, testing, and deploying production-grade systems.
- Deep expertise in Pattern Recognition and Neural Networks, including model design, training, optimization, and evaluation.
- Hands-on experience with Natural Language Processing (NLP), preferably including conversational AI, language models, and related frameworks.
- Experience with monitoring, versioning, and model lifecycle management.
- Ability to work in a hybrid environment in Bengaluru.
- Ability to collaborate across teams.
- Ability to mentor junior team members in AI and data science topics.
- Advanced degree in Data Science, or Artificial Intelligence.