Staff Machine Learning Engineer
- Tata Consultancy
- 7 - 12 years
- Bengaluru
- 28 days ago
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Job Description
Staff Machine Learning Engineer
Experience Range: 07 - 12 years
Location: Bengaluru, India
Seeking for a technically accomplished and forward-thinking Senior Machine Learning Engineer (MLE) to join the Enterprise Technology team. This role is ideal for professionals passionate about building and deploying cutting-edge generative AI (Gen AI) solutions that drive innovation across our diverse business units. You will lead the design, development, and deployment of scalable machine learning systems, including fine-tuning and customising foundation models (LLMs, diffusion models, GANs, transformers) for real-world applications. The role involves close collaboration with cross-functional teams to integrate GenAI into business use cases such as conversational AI, content generation, personalisation, and media synthesis. This is a hands-on role with opportunities to shape technical strategy, mentor junior engineers, and contribute to the safe and ethical deployment of GenAI technologies across global platforms.
Key Responsibilities:
- Collaborate with product managers, stakeholders, and engineering teams to define hypotheses and gather requirements.
- Design, develop, and deploy robust, scalable machine learning models for production applications.
- Research and integrate state-of-the-art GenAI models (e.g. GPT5, BERT, diffusion models, GANs) into business use cases.
- Drive innovation in areas such as conversational AI, media synthesis, personalisation, and agentic systems.
- Fine-tune and customise foundation models for specific domains and tasks.
- Implement best practices for GenAI safety, alignment, and ethical deployment.
- Stay current with GenAI research, open-source models, and industry trends.
- Lead ML components from ideation to deployment, collaborating across distributed teams.
- Design frameworks for agent development and cross-agent communication.
- Collaborate with software engineers, data scientists, and product managers to define success metrics.
- Review code, provide feedback, and mentor junior team members.
- Communicate technical concepts and project updates to stakeholders across varying technical backgrounds.
Basic Qualifications
- Minimum 07 years of experience in machine learning engineering or a related role.
- Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
- Experience with supervised fine-tuning (SFT), parameter-efficient fine-tuning (PEFT), model evaluation, and data preparation.
- Strong understanding of MLOps, model monitoring, retraining, and guard railing.
- Excellent written and verbal communication skills.
- Ability to work independently and manage project-based goals across time zones.
Preferred Qualifications
- Experience with agentic architectures and multi-agent systems.
- Familiarity with GenAI safety frameworks and ethical deployment strategies.
- Exposure to enterprise-scale ML environments and agile delivery models.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: Tata ConsultancyLocation(s): Bengaluru
Keyskills: Generative Ai Machine Learning Deep Learning Agentic Ai Python Tensorflow Artificial Intelligence Natural Language Processing Neural Networks GPT5 Ml Algorithms Pytorch Data Science Huggingface Fine Tuning Large Language Model Machine Learning Algorithms Bert
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