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AI / Machine Learning Engineer

Date Posted: Jan 19, 2026

Job Detail

  • location_on
    Location Singapore, Singapore, Singapore
  • desktop_windows
    Job Type: Full Time/Permanent
  • schedule
    Shift:
  • analytics
    Career Level: Experienced Professional
  • group
    Positions: 3
  • calendar_view_day
    Experience: 3 years
  • male
    Gender: No Preference
  • school
    Degree:
  • calendar_month
    Apply Before: Jun 30, 2026

Job Description

Job Summary:

We are seeking a skilled AI / Machine Learning Engineer to design, build, and deploy scalable machine learning and AI solutions. The ideal candidate will work on end-to-end ML pipelines, Generative AI use cases, and production-grade AI systems across enterprise and product environments.

Key Responsibilities:

  • Design, develop, and deploy machine learning models for real-world applications
  • Build and maintain end-to-end ML pipelines (data ingestion, training, evaluation, deployment)
  • Work on Generative AI and LLM-based solutions (chatbots, summarization, recommendation systems)
  • Implement NLP, Computer Vision, and predictive analytics solutions
  • Optimize model performance, scalability, and cost
  • Collaborate with product managers, data engineers, and backend teams
  • Deploy models using MLOps best practices
  • Monitor models for drift, performance, and reliability

Required Skills:

Core AI / ML

  • Strong experience in Machine Learning algorithms (supervised, unsupervised, deep learning)
  • Hands-on with Python and ML libraries (NumPy, Pandas, Scikit-learn)
  • Experience with Deep Learning frameworks (TensorFlow / PyTorch)
  • Strong understanding of model evaluation and optimization

Generative AI & NLP

  • Experience with LLMs (OpenAI, Azure OpenAI, Gemini, Claude)
  • Prompt engineering and RAG (Retrieval-Augmented Generation)
  • NLP techniques (tokenization, embeddings, transformers)
  • Experience with Vector Databases (Pinecone, FAISS, Milvus, Weaviate)

Data & Engineering

  • SQL and NoSQL databases
  • Data preprocessing and feature engineering
  • Experience working with large-scale datasets

 

MLOps & Deployment

  • Model deployment using Docker & Kubernetes
  • CI/CD for ML pipelines
  • Model monitoring & versioning (MLflow, Kubeflow, SageMaker)
  • Cloud platforms: AWS / Azure / GCP

Good to Have:

  • Experience with Computer Vision (OpenCV, YOLO)
  • Knowledge of Streaming data (Kafka, Spark)
  • Exposure to AI ethics, governance, and security
  • Domain experience: FinTech, Healthcare, Retail, HR Tech

 

Benefits

  • Competitive compensation package
  • Learning & development opportunities
  • Clear career growth path within the organization
  • Supportive and inclusive work culture

Company Overview

Thiruchirapalli, Tamil Nadu, India

SPK Technologies has been dedicated to delivering innovative solutions in Software Development and Staff Augmentation. Over the past nine years, we have grown and evolved to meet the technological needs of diverse industries, building a reputation fo... Read More

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SPK Technologies Inc 447 Broadway, 2nd Floor #1268 New York, NY 10013, United States. India| Singapore