Role : Product Engineer (Data Scientist)
Experience : 1 to 5 Years
Work Mode : WFO / Hybrid / Remote if applicable
Immediate Joiners Preferred
Required Skills & Qualification :
The ideal candidate will have experience building AI-powered, data-driven products, working across the full lifecycle - from data analysis and model development to deployment and integration into production systems.
- Strong experience in Python programming.
- Hands-on experience in Data Science, Machine Learning, and NLP.
- Proficiency in PyTorch, Scikit-learn, NLTK, SpaCy, Hugging Face.
- Experience working with LLMs and transformer models (BERT, GPT, etc.).
- Expertise in SQL and data analysis.
- Experience cleaning, preprocessing, and analysing large structured and unstructured datasets.
- Familiarity with Big Data tools such as Pandas, Spark, or Dask.
- Experience integrating ML/NLP models into production systems.
- Exposure to AWS, Azure, or GCP.
- Familiarity with MLOps tools like MLflow, Airflow, or similar.
- Strong analytical, problem-solving, and communication skills.
- Ability to work in a fast-paced, agile, startup environment.
Nice To Have Requirements For The Candidate
- Exposure to AI or ML-enabled product development.
- Experience with CI/CD, DevOps, and cloud-native deployments.
- Knowledge of agentic AI frameworks or AI automation tools.
- High curiosity, ownership mindset, and learning agility.
- Ability to communicate and collaborate with the team at ease.
- Drive to get the results and not let anything get in your way.
- Critical and analytical thinking skills, with a keen attention to detail.
- Demonstrate ownership and strive for excellence in everything you do.
- Demonstrate a high level of curiosity and keep abreast of the latest technologies & tools
- Ability to pick up new software easily and represent yourself peers and co-ordinate during meetings with Customers.
(ref:hirist.tech)
