AI/ML Engineer

Objectways; Bengaluru; On-site; INR 2,600,000 - 4,200,000; Full time

Job summary

Objectways is seeking an experienced AI/ML Engineer to design develop and deploy scalable AI/ML solutions in production environments. You will build end-to-end ML pipelines and collaborate with data engineers software engineers and product managers to deliver AI/ML capabilities at scale.

Ideal candidates have 5+ years hands-on AI/ML experience, strong Python skills, and deep knowledge of ML frameworks. Cloud experience and CI/CD are essential for production-grade deployments.

Qualifications

• 5+ years hands-on AI/ML experience designing developing and deploying scalable AI/ML solutions.
• Strong programming experience in Python and proficiency with ML algorithms and data science concepts.
• Hands-on experience with Scikit-learn TensorFlow PyTorch and modern ML tooling and APIs.

Responsibilities

• Design develop train and deploy ML/AI models for business applications.
• Build end-to-end ML pipelines including data preprocessing feature engineering model development evaluation and deployment.
• Collaborate with Data Engineers Software Engineers and Product Managers to deliver AI/ML solutions.

Skills

Python

Machine learning

Deep learning

REST APIs

SQL

Pandas

NumPy

Model deployment

CI/CD

GIT

Docker

Cloud platforms

Education

Bachelor's or Master's in Computer Science/AI/ML/Data Science or related field

Tools

Scikit-learn

TensorFlow

PyTorch

LangChain

LlamaIndex

Hugging Face

FAISS

Pinecone

Job description

We are looking for an experienced AI/ML Engineer with 5+ years of hands‑on experience in designing, developing, and deploying scalable AI and machine learning solutions. The ideal candidate should have strong expertise in Python, machine learning, deep learning, and production‑grade model deployment, along with experience working with cloud platforms and modern AI technologies.

Key Responsibilities

• Design, develop, train, and deploy machine learning and AI models for business applications.
• Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model development, evaluation, and deployment.
• Analyze large and complex datasets to identify patterns and develop data-driven solutions.
• Optimize model performance, scalability, and accuracy.
• Develop and integrate ML models into applications through APIs and microservices.
• Work closely with Data Engineers, Software Engineers, Product Managers, and other stakeholders to deliver AI/ML solutions.
• Monitor model performance in production and implement continuous improvements.
• Build and maintain scalable ML solutions using cloud-based infrastructure.
• Implement best practices for MLOps, model versioning, CI/CD, and model monitoring.
• Research and evaluate emerging AI/ML technologies and identify opportunities for their practical application.
• Maintain technical documentation for models, pipelines, experiments, and deployment processes.

Required Skills:

• 5+ years of hands‑on experience in AI/ML, Machine Learning Engineering, or a related field.
• Strong programming experience in Python.
• Strong understanding of Machine Learning algorithms, statistics, and data science concepts.
• Hands‑on experience with Scikit‑learn, TensorFlow, PyTorch, or similar ML frameworks.
• Strong experience with Pandas, NumPy, and other data processing libraries.
• Experience with SQL and working with large datasets.
• Strong understanding of model development, evaluation, optimization, and deployment.
• Experience developing and consuming REST APIs.
• Hands‑on experience with at least one cloud platform — AWS, Azure, or GCP.
• Good understanding of Git, Docker, CI/CD, and software development best practices.

Good to Have:

• Experience with Generative AI, Large Language Models (LLMs), RAG, and Prompt Engineering.
• Hands‑on experience with LangChain, LlamaIndex, Hugging Face, or similar frameworks.
• Experience with Vector Databases such as FAISS, Pinecone, Weaviate, or Milvus.
• Experience with MLOps tools and practices, including model monitoring and automated ML pipelines.
• Knowledge of Kubernetes and cloud-native architectures.
• Experience in NLP, Computer Vision, Deep Learning, or other AI domains.
• Experience working with Azure OpenAI, AWS Bedrock, or Google Vertex AI.

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical field.

Preferred Candidate

• Strong analytical and problem‑solving skills.
• Ability to independently design and implement production‑ready AI/ML solutions.
• Strong communication and collaboration skills.
• Experience taking ML/AI solutions from proof of concept to production.
• Ability to work in a fast‑paced environment and manage multiple priorities.