AI/ML Developer

This role is for one of the Weekday's clients Salary range: Rs 500000 - Rs 2000000 (ie INR 5-20 LPA) Min Experience: 4 years Location: Remote (India), Pune JobType: full-time We are seeking an experienced AI/ML Developer with strong hands-on expertise in machine learning, artificial intelligence, and data-driven problem solving.
This role involves building, deploying, and scaling ML models that deliver measurable business impact, while collaborating closely with engineering and product teams.
Key Responsibilities Design, develop, and optimize machine learning models using Python .
Collaborate with engineers and product managers to define hypotheses, solutions, and expected outcomes.
Act as a subject matter expert in ML, AI, and statistical modeling, translating business problems into data-driven solutions.
Implement models across machine learning, optimization, neural networks, and NLP/NLU use cases.
Apply data engineering techniques to collect, clean, transform, and prepare data for analysis and AI automation.
Build and maintain data pipelines to support model training and inference.
Work with data from social media and external sources such as Twitter, Instagram, Reddit, and similar platforms.
Develop prototypes, PoCs, and MVPs to validate AI-driven solutions.
Generate actionable insights, predictions, and recommendations for stakeholders.
Deploy models into production and ensure performance, scalability, and reliability.
Mentor and guide junior team members on AI/ML best practices.
Required Skills & Experience 5+ years of hands-on experience as an AI/ML Developer or Data Scientist.
Strong understanding of machine learning and AI algorithms , including Linear & Logistic Regression, Decision Trees, KNN, Random Forests, Neural Networks, and NLP techniques.
Extensive experience with ML frameworks such as TensorFlow, PyTorch, Keras, and Spark ML.
4+ years of programming experience with Python (mandatory); experience with R, Scala, or Go is a plus.
Solid experience using version control systems such as Git.
Strong analytical and problem-solving skills with a business-oriented mindset.
Good to Have Experience with LLMs, prompt engineering, and RAG-based systems .
Exposure to microservices architectures and containerization using Docker and Kubernetes.
Hands-on experience deploying and managing services on Kubernetes .
Familiarity with AWS AI/ML services such as SageMaker, Comprehend, Lex, Rekognition, Transcribe, Lambda, EKS, and S3.
Experience troubleshooting and supporting production ML systems .
Working knowledge of CI/CD pipelines using Jenkins, GitLab, or similar tools.
Education Bachelor’s degree in Computer Science, Engineering, or a related field .
Skills AI / Machine Learning Python AWS NLP / LLMs Data Engineering Docker & Kubernetes