Posted:2 hours ago|
Platform:
Work from Office
Full Time
We’re looking for an AI Engineer who’s hungry to learn and ship. If you’re ready to build with cutting-edge frameworks like Lang Chain, CrewAI, Lang Graph, Google ADK and more and can translate real enterprise problems into intelligent multi-agent workflows, this role is for you.
Develop, train, and deploy machine learning models to solve business problems (classification, regression, anomaly detection, etc.).
Perform data preprocessing, feature engineering, and exploratory data analysis.
Collaborate with data engineers, product managers, and domain experts to integrate models into production systems.
Monitor, evaluate, and optimize model performance using industry best practices.
Contribute to the design and implementation of ML pipelines and MLOps practices.
Document models, workflows, and key decisions for reproducibility and team knowledge sharing.
Stay updated with the latest trends in data science, machine learning, and AI.
3+ years of hands-on experience in data science or applied machine learning roles.
Proficiency in Python and common ML libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow or PyTorch).
Experience with data wrangling, statistical analysis, and model evaluation.
Exposure to NLP, computer vision, or deep learning (at least one area).
Familiarity with CI/CD pipelines and MLOps tools.
Experience working with relational databases (SQL) and version control (Git, Bitbucket).
Strong analytical and problem-solving skills.
Ability to communicate technical concepts clearly to non-technical stakeholders.
Experience working in agile or cross-functional teams.
Experience with cloud platforms (AWS, Azure, or GCP).
Exposure to agentic AI frameworks (LangChain, CrewAI, etc.) or LLMs.
Knowledge of deployment and automation tools.
Prior experience in manufacturing, automotive, or enterprise software domains.
Certifications in Data Science, ML, or Cloud.
Work on cutting-edge agentic AI every day
Be part of a lean team with real ownership
Ship fast and solve real enterprise challenges
Backed by InTimeTec, with a strong AI/ML engineering culture
In Time Tec
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