Machine Learning Engineer

Job Title: Machine Learning Engineer City: Bengaluru State/Province: Karnataka Posting Start Date: 7/3/26 Job Description: Job Description Role Overview: As a Machine Learning Engineer with 3 to 5 years of experience, you will play a pivotal role in developing and implementing AI/ML solutions within our organization. Your expertise will contribute to the successful deployment of AI models, enhancing business outcomes and driving innovation in the AI/ML domain.

Key Responsibilities

• Design and implement AI/ML reference architecture assets and solutions.
• Deploy and manage AI/ML tools, platforms, and infrastructure effectively.
• Implement ethical AI practices and governance standards.
• Monitor and evaluate the performance of AI/ML initiatives to showcase ROI.
• Develop, train, and deploy AI/ML models and solutions.
• Collaborate with client teams, participate in RFPs, and propose tailored AI/ML solutions.
• Contribute to the development of re-usable methodologies, pipelines, and models.
• Work across various deployment environments and containerization techniques.
• Utilize coding knowledge in languages like R, Python, Scala, MATLAB, etc.
• Apply expertise in solving problems related to Generative AI, Computer Vision, NLP, Predictive Analytics, etc.

Required Skills & Qualifications:

• 3-5 years of experience in AI/ML, preferably in developing and deploying AI models.
• Proficiency in languages such as Python, R, Scala, MATLAB.
• Experience with Enterprise Chatbots, LLMs, RAG, Agentic AI, and vector databases.
• Strong problem-solving skills in areas like Generative AI, Computer Vision, NLP, etc.
• Experience in working with MLOps methods and ML pipelines.
• Ability to work collaboratively in cross-functional teams.
• Strong communication and presentation skills to guide and inspire.
• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.

Preferred Qualifications:

• Experience with Generative AI applications like Chatbots, AI Agents, Content Creation.
• Familiarity with cloud, on-premises, and hybrid deployment environments.
• Knowledge of containerization techniques like Docker, Kubernetes.
• Exposure to presales activities, business development, and AI/ML project delivery.

Mandatory Skills: AI/ML ͏ Do