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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 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.



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 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.


About UpSolve
We built and deliver complex AI solutions which help drive business decisions faster and more accurately. We are a typical AI company and have a range of solutions developed on Video, Image and Text.
What you will do
- Stay informed on new technologies and implement cautiously
- Maintain necessary documentation for the project
- Fix the issues reported by application users
- Plan, build, and design solutions with a mental note of future requirements
- Coordinate with the development team to manage fixes, code changes, and merging
Location: Mumbai
Working Mode: Remote
What are we looking for
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- Minimum 2 years of professional experience in software development, with a focus on machine learning and full stack development.
- Strong proficiency in Python programming language and its machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
- Experience in developing and deploying machine learning models in production environments.
- Proficiency in web development technologies including HTML, CSS, JavaScript, and front-end frameworks such as React, Angular, or Vue.js.
- Experience in designing and developing RESTful APIs and backend services using frameworks like Flask or Django.
- Knowledge of databases and SQL for data storage and retrieval.
- Familiarity with version control systems such as Git.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Ability to work effectively in a fast-paced and dynamic team environment.
- Good to have Cloud Exposure

India's first Options Trading Analytics platform on mobile.
Location : Andheri East
Notice Period: Immediate-15 days
Responsibilities:
1. Study and transform data science prototypes.
2. Design NLP applications.
3. Select appropriate annotated datasets for Supervised Learning methods.
4. Find and implement the right algorithms and tools for NLP tasks.
5. Develop NLP systems according to requirements.
6. Train the developed model and run evaluation experiments.
7. Perform statistical analysis of results and refine models.
8. Extend ML libraries and frameworks to apply in NLP tasks.
9. Use effective text representations to transform natural language into useful features.
10. Develop APIs to deliver deciphered results, optimized for time and memory.
Requirements:
1. Proven experience as an NLP Engineer of at least one year.
2. Understanding of NLP techniques for text representation, semantic extraction techniques, data
structures and modeling.
3. Ability to effectively design software architecture.
4. Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment
analysis etc), statistics and classification algorithms.
5. Hands on Experience of Knowledge of Python of more than a year.
6. Ability to write robust and testable code.
7. Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
8. Strong communication skills.
9. An analytical mind with problem-solving abilities.
10. Bachelor Degree in Computer Science, Mathematics, Computational Linguistics.