AI/ML Engineer (WFO - Ahmedabad)

Job Title: AI/ML Engineer

Location: Ahmedabad 

Type: Full-Time

Experience Level: 2 to 3 Years

Job Description:

As an AI/ML Engineer at SolGuruz, you will design, develop, deploy, and optimize intelligent AI/ML solutions that solve real-world business problems. You will work across traditional Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), and Generative AI to build scalable AI-powered applications.

You'll collaborate closely with product managers, software engineers, and AI researchers to transform data into production-ready intelligent systems while contributing to our growing AI ecosystem.

Key Responsibilities:

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  Design, develop, train, evaluate, and deploy scalable Machine Learning and Deep Learning models.

  
  


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  Build AI-powered applications across Computer Vision, Natural Language Processing (NLP), Generative AI, Recommendation Systems, and Predictive Analytics.

  
  


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  Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, AI Agents, and LLM-powered applications.

  
  


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  Build end-to-end ML pipelines including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring.

  
  


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  Integrate AI models with web and backend applications through APIs and microservices.

  
  


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  Collaborate with product managers, software engineers, and designers to translate business requirements into AI solutions.

  
  


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  Optimize model performance for accuracy, latency, scalability, and cost efficiency.

  
  


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  Implement MLOps best practices including model versioning, CI/CD, automated retraining, and production monitoring.

  
  


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  Research, prototype, and evaluate emerging AI technologies to improve existing products and identify new opportunities.

  
  


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  Contribute to reusable AI components, internal frameworks, documentation, and engineering best practices.

  
  

Required Skills & Qualifications:

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  Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.

  
  


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  Strong programming skills in Python with experience building production-grade applications.

  
  


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  Solid understanding of Machine Learning and Deep Learning fundamentals, including supervised and unsupervised learning.

  
  


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  Hands-on experience with frameworks such as PyTorch, TensorFlow, Scikit-learn, or similar ML libraries.

  
  


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  Experience working with Large Language Models (OpenAI, Claude, Gemini, Llama, Mistral, etc.) and modern Generative AI concepts.

  
  


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  Familiarity with RAG architectures, embeddings, prompt engineering, and vector databases (FAISS, Chroma, Pinecone, Weaviate, pgvector, etc.).

  
  


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  Experience developing and consuming REST APIs.

  
  


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  Good understanding of SQL/NoSQL databases and data processing techniques.

  
  


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  Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

  
  


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  Familiarity with MLOps tools and practices (MLflow, SageMaker, Azure ML, Vertex AI, Kubeflow, Docker, CI/CD).

  
  


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  Strong analytical thinking, problem-solving, and debugging skills.

  
  


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  Excellent communication and collaboration skills with cross-functional teams.

  
  

Preferred Skills (Nice to Have)

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  Experience with LangChain, LlamaIndex, CrewAI or similar AI orchestration frameworks.

  
  


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  Experience fine-tuning open-source LLMs.

  
  


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  Knowledge of multimodal AI (Vision, Speech, OCR, Document Intelligence).

  
  


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  Familiarity with HuggingFace ecosystem and open-source foundation models.