Required Skills & Qualification
Strong experience in Python programming
1-3 years of experience in Data Science/NLP (Freshers with strong NLP projects are welcome).
Proficiency in Python, PyTorch, Scikit-learn, and NLP libraries (NLTK, SpaCy, Hugging Face).
Basic knowledge of cloud platforms (AWS, GCP, or Azure).
Experience with SQL for data manipulation and analysis.
Assist in designing, training, and optimizing ML/NLP models using PyTorch, NLTK, Scikit- learn, and Transformer models (BERT, GPT, etc.).
Familiarity with MLOps tools like Airflow, MLflow, or similar.
Experience with Big Data processing (Spark, Pandas, or Dask).
Help deploy AI/ML solutions on AWS, GCP, or Azure and experience in LLM Frameworks
Collaborate with engineers to integrate AI models into production systems.
Expertise in using SQL and Python to clean, preprocess, and analyze large datasets.
Learn & Innovate - Stay updated with the latest advancements in NLP, AI, and ML frameworks.
Strong analytical and problem-solving skills.
Willingness to learn, experiment, and take ownership in a fast-paced startup environment.
Nice To Have Requirements For The Candidate
Desire to grow within the company
Team player and Quicker learner
Performance-driven
Strong networking and outreach skills
Exploring aptitude & killer attitude
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.
What We Offer
We offer a market-leading salary along with a comprehensive benefits package to support your well-being.
Enjoy a hybrid or remote work setup that prioritizes work-life balance and personal wellbeing.
We invest in your career through continuous learning and internal growth opportunities.
Be part of a dynamic, inclusive, and vibrant workplace where your contributions are recognized and rewarded.
We believe in straightforward policies, open communication, and a supportive work environment where everyone thrives.
Any Graduate