AI / Machine Learning Engineer- Apprication pvt ltd
7 days ago
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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