Apprication Pvt Ltd logo

AI / Machine Learning Engineer- Apprication pvt ltd

4 years

3 - 7 Lacs

mumbai metropolitan region

Posted:2 days ago| Platform: Linkedin logo

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Skills Required

ai learning engineering design cutting research vision automation ml mobile scalability data algorithms inference microservices model monitoring aws azure gcp containerization docker kubernetes personalization analytics etl preprocessing security compliance programming python tensorflow pytorch openai api deployment optimization fastapi flask django sql nosql mysql postgresql sagemaker vertex devops versioning react.js angular vue.js communication

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title: AI / Machine Learning Engineer

Company: Apprication Pvt LtdLocation: Goregaon EastEmployment Type: Full-timeExperience: 4 Years

About The Role

We’re seeking a highly motivated

AI / Machine Learning Engineer

to join our growing engineering team. You will design, build, and deploy

AI-powered solutions

for web and application platforms, bringing cutting-edge machine learning research into real-world production systems.This role blends

applied machine learning, backend engineering, and cloud deployment

, with opportunities to work on NLP, computer vision, generative AI, and intelligent automation across diverse industries.

Key Responsibilities

  • Design, train, and deploy machine learning models for NLP, computer vision, recommendation systems, and other AI-driven use cases.
  • Integrate ML models into production-ready web and mobile applications, ensuring scalability and reliability.
  • Collaborate with data scientists to optimize algorithms, pipelines, and inference performance.
  • Build APIs and microservices for model serving, monitoring, and scaling.
  • Leverage cloud platforms (AWS, Azure, GCP) for ML workflows, containerization (Docker/Kubernetes), and CI/CD pipelines.
  • Implement AI-powered features such as chatbots, personalization engines, predictive analytics, or automation systems.
  • Develop and maintain ETL pipelines, data preprocessing workflows, and feature engineering processes.
  • Ensure solutions meet security, compliance, and performance standards.
  • Stay updated with the latest research and trends in deep learning, generative AI, and LLMs.

Skills & Qualifications

  • Bachelor’s or Master’s in Computer Science, Machine Learning, Data Science, or related field.
  • Proven experience of 4 years as an AI/ML Engineer, Data Scientist, or AI Application Developer.
  • Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn); familiarity with LangChain, Hugging Face, OpenAI API is a plus.
  • Experience in model deployment, serving, and optimization (FastAPI, Flask, Django, or Node.js).
  • Proficiency with databases (SQL and NoSQL: MySQL, PostgreSQL, MongoDB).
  • Hands-on experience with cloud ML services (SageMaker, Vertex AI, Azure ML) and DevOps tools (Docker, Kubernetes, CI/CD).
  • Knowledge of MLOps practices: model versioning, monitoring, retraining, experiment tracking.
  • Familiarity with frontend frameworks (React.js, Angular, Vue.js) for building AI-driven interfaces (nice to have).
  • Strong understanding of data structures, algorithms, APIs, and distributed systems.
  • Excellent problem-solving, analytical, and communication skills.
Skills:- Artificial Intelligence (AI), Machine Learning (ML), Data Science, Python, TensorFlow, PyTorch, Scikit-Learn, Huggingface, API, MySQL, PostgreSQL, Docker, Kubernetes, CI/CD, Google Vertex AI, MLOps, React.js, Data Structures, Algorithms and Distributed Systems

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