AI / Machine Learning Engineer- Apprication pvt ltd

7 days ago

Mumbai Metropolitan Region, India Apprication Pvt Ltd Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title: AI / Machine Learning Engineer
Company: Apprication Pvt Ltd

Location: Goregaon East

Employment Type: Full-time

Experience: 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 ).
  • 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 , Angular, ) 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, , Data Structures, Algorithms and Distributed Systems

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