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.