Senior AI/ML Engineer

Company: Acquaint Softtech Pvt. Ltd.

Location: Ahmedabad, Gj, IN

Employment Type: Full-time

Experience: 5+ years in AI/ML.

About the Role

We're looking for a Senior AI/ML Engineer to design, build, and deploy machine learning systems that power the client products. You'll own models from experimentation through production, work closely with product, data, and engineering teams, and help set technical direction and best practices for our AI efforts.

Key Responsibilities

Design, train, evaluate, and deploy ML and deep learning models for production use cases

Build and optimize LLM-based applications, including RAG pipelines, fine-tuning, and prompt engineering

Design and ship agentic and multi-agent systems, including tool integration (e.g., via Model Context Protocol, MCP), orchestration, and agent evaluation

Build and maintain LLM evaluation frameworks (offline and online metrics, LLM-as-judge, regression suites) to measure quality and catch regressions

Implement guardrails and safety measures for LLM systems, including prompt injection defense and hallucination mitigation

Develop scalable data and feature pipelines in collaboration with data engineers

Own the MLOps lifecycle: CI/CD for models, experiment tracking, monitoring, drift detection, and retraining

Translate business problems into well-scoped ML solutions with clear success metrics

Optimize models and LLM applications for latency, cost (including token usage), and scalability

Conduct code reviews, mentor junior engineers, and contribute to architecture decisions

Stay current with the latest research and evaluate recent techniques for practical adoption





Communicate results and trade-offs clearly to technical and non-technical stakeholders

Required Qualifications

Bachelor's or Master's degree in Computer Science, AI/ML, Statistics, or a related field

5+ years of hands-on experience building and shipping ML systems to production

Strong Python skills and proficiency with PyTorch, TensorFlow, or JAX

Solid grounding in ML fundamentals: statistics, optimization, model evaluation, and feature engineering

Experience with at least one of: NLP/LLMs, computer vision, recommendation systems, time series, or forecasting

Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

Familiarity with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Airflow

Strong SQL and experience with large-scale data processing (Spark, Ray, or similar)

Good communication and problem-solving skills

Preferred Qualifications

Hands-on experience with LLM APIs and models (OpenAI, Anthropic, Google Gemini, Llama, Mistral), Hugging Face, LangChain/LlamaIndex, and vector databases (Pinecone, FAISS, Weaviate, pgvector)

Experience building multi-agent architectures with frameworks such as LangGraph, CrewAI, AutoGen, or similar, and integrating tools and data sources via MCP

Experience with fine-tuning techniques (LoRA/QLoRA, RLHF/DPO) and LLM evaluation frameworks

Experience with model serving and optimization (Triton, vLLM, ONNX, quantization)

Publications, open-source contributions, or Kaggle achievements

Experience in SaaS product development

Prior experience leading projects or mentoring engineers

Interested one share resume at [email protected] or can reach at (phone hidden).

📌 Hiring AI/ML Developer (Ahmedabad)
🏢 Acquaint Softtech Private
📍 Ahmedabad