AI/ML Engineer

Mindfire Solutions
India

About the Job

As an AI/ML Engineer, you will be responsible for architecting, developing, and deploying production-grade Generative AI and Agentic AI solutions, including LLM-powered systems, autonomous workflows, and intelligent automation platforms that drive scalable business innovation. Collaborate closely with cross-functional teams, including data scientists, to recognize and establish project objectives. Oversee data infrastructure maintenance, ensuring streamlined and scalable data operations. Stay updated with advancements in Generative AI, Agentic AI, and broader AI technologies, proposing their integration for operational enhancement. Effectively convey detailed data insights to non-technical stakeholders. Uphold stringent data privacy and security protocols. Engage in the full lifecycle of AI projects, spanning from ideation through deployment and continuous upkeep.

Core Responsibilities

  • Develop, validate, and implement Generative AI solutions and agentic AI workflows.
  • Collaborate with data scientists and other stakeholders to understand and define project goals.
  • Maintain data infrastructure and ensure scalability and efficiency of data-related operations.
  • Stay abreast of the latest developments in Generative AI, Agentic AI, Large Language Models, and Emerging AI technologies, and recommend ways to implement them in everyday operations.
  • Communicate complex data findings clearly and understandably to non-technical stakeholders.
  • Adhere to data privacy and security guidelines.
  • Participate in the entire AI project lifecycle, from concept to deployment and maintenance.

Required Skills

  • Strong grasp of computer architecture, data structures, system software, and AI fundamentals.
  • Strong experience in design, build, and optimization of agentic AI workflows that enable autonomous reasoning, decision-making, and tool interaction using frameworks like LangChain, LangGraph, CrewAI, Strands, etc.
  • Strong experience in implementation and fine-tuning Generative AI solutions (e.g., LLMs, multimodal models) for various business use cases.
  • Experience with Vector databases like Qdrant, ChromaDB, Pinecone, PGVector, or similar.
  • Experience in LLM integration frameworks like LlamaIndex, Ragas, etc.
  • Experience with mapping NLP models (BERT and GPT) to accelerators and awareness of trade-offs across memory, bandwidth, and compute.
  • Good to have experience with ML model lifecycle management, including training, quantization, sparsity, preprocessing, and deployment.
  • Proficiency in Python development in a Linux environment and using standard development tools.
  • Good to have experience with deep learning frameworks (such as PyTorch, TensorFlow, Keras, Spark).
  • Good to have working knowledge of machine learning and deep learning architectures, such as ANNs, CNNs, RNNs, and GANs, is a plus.
  • Good to have experience in training, tuning, and deploying ML models for Computer Vision (e.g., ResNet), Recommendation Systems (e.g., DLRM), or related domains.
  • Experience deploying AI workloads on distributed systems.
  • Self-motivated team player with a strong sense of ownership and leadership.
  • Strong verbal, written, and organizational skills for effective communication and documentation.
  • Knowledge of cloud computing platforms and services, such as AWS, Azure, or Google Cloud.

Qualifications

  • Bachelor's or higher degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field.
  • 3-5 years of hands-on experience in AI/ML, with a strong preference for Generative AI and Agentic AI expertise.

Score my resume against this job, free →

Questions about this job

How do I apply for the AI/ML Engineer job at Mindfire Solutions?

Use the apply link on this page: you apply directly with Mindfire Solutions on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Mindfire Solutions want for this AI/ML Engineer role?

The job description asks for Strong grasp of computer architecture, data structures, system software, and AI fundamentals., Strong experience in design, build, and optimization of agentic AI workflows that enable autonomous reasoning, decision-making, and tool interaction using frameworks like LangChain, LangGraph, CrewAI, Strands, etc., Strong experience in implementation and fine-tuning Generative AI solutions (e.g., LLMs, multimodal models) for various business use cases., Experience with Vector databases like Qdrant, ChromaDB, Pinecone, PGVector, or similar., Experience in LLM integration frameworks like LlamaIndex, Ragas, etc., Experience with mapping NLP models (BERT and GPT) to accelerators and awareness of trade-offs across memory, bandwidth, and compute., Proficiency in Python development in a Linux environment and using standard development tools. and Experience deploying AI workloads on distributed systems.. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at Mindfire Solutions?

Apply to the Mindfire Solutions roles that match your experience, and tailor your resume to each job description: for this role that means showing Strong grasp of computer architecture, data structures, system software, and AI fundamentals., Strong experience in design, build, and optimization of agentic AI workflows that enable autonomous reasoning, decision-making, and tool interaction using frameworks like LangChain, LangGraph, CrewAI, Strands, etc., Strong experience in implementation and fine-tuning Generative AI solutions (e.g., LLMs, multimodal models) for various business use cases.. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this AI/ML Engineer job remote or onsite?

This is based in India.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with Mindfire Solutions, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

Will you get shortlisted for this role? Check your match free →