Role Overview:

We are looking for a mid-level AI / Machine Learning Developer to design develop and deploy AI/ML solutions across multiple client and in-house projects. The role involves working with structured and unstructured data building predictive and intelligent models and collaborating closely with product data and engineering teams to translate business problems into scalable AI solutions.

Key Responsibilities:

AI / ML Development:

• Design develop train and evaluate machine learning models for real-world business use cases
• Implement supervised and unsupervised learning techniques (classification regression clustering anomaly detection recommendation and more)
• Demonstrate strong understanding of statistical and machine learning models and their practical application using Python libraries such as scikit-learn stats models NumPy and pandas for real-world data analysis and predictive modeling

Data Handling & Preparation:

• Work with structured and semi-structured data from databases APIs and files
• Perform data cleaning preprocessing feature extraction and transformation
• Collaborate with data engineers on data pipelines when required

Model Deployment & Integration:

• Deploy ML models into production environments (APIs services batch jobs)
• Integrate ML models with web applications backend systems or enterprise platforms
• Support model monitoring retraining and performance tuning

Agentic AI systems (Nice to Have):

• Familiarity with agentic AI frameworks such as LangChain Agents AutoGen and CrewAI for orchestrating tool usage decision-making and multi-step workflow automation
• Understanding of prompt management execution controls logging and human-in-the-loop validation including concepts related to agent safety control and observability

Collaboration & Delivery:

• Work closely with product managers business analysts and domain experts
• Participate in solution design discussions and technical reviews
• Document models assumptions and technical decisions clearly

Required Skills & Qualifications:

• Strong programming skills in Python
• Hands-on experience with ML libraries (Scikit-learn TensorFlow PyTorch)
• Experience with Pandas and NumPy
• Understanding of core ML concepts and evaluation metrics
• Experience exposing ML models via REST APIs (FastAPI / Flask)
• Nice to Have:
• Exposure to NLP computer vision or time-series modeling
• Familiarity with cloud platforms (AWS Azure GCP)
• Basic understanding of MLOps practices
• Experience working in enterprise or consulting environments
• Experience: 3-5 years Hands-On Industry Experience
• Education: BS Computer Science or Equivalent

Soft Skills:

• Strong analytical and problem-solving skills
• Good communication and documentation abilities
• Ability to work across multiple projects