We are looking for an experienced Data Science Developer with expertise in Python, ML/DL, NLP, and data engineering. You’ll work on automation, ETL pipelines, and Large Language Models (LLMs), building scalable, data-driven solutions for our R&D team.

Key Responsibilities:

• Develop and optimize Python-based automation, data pipelines, and ML models.

• Build, fine-tune, and deploy LLMs for real-world applications.

• Implement ETL processes, APIs, AWS Lambda, SQS, and cloud-based solutions.

• Perform data scraping, mining, preprocessing, and statistical analysis.

• Collaborate with teams to deliver innovative, user-centric solutions.

• Troubleshoot, optimize, and stay updated with AI/ML and cloud technologies.

Requirements:

• 5+ years in Data Science/Data Engineering.

• Strong in Python, ML, DL, NLP, and LLMs.

• Solid knowledge of algorithms, statistics, and probabilities.

• Experience with ETL, APIs, AWS/cloud architecture.

• Skilled in data mining, targeting, and automation.

Nice to Have:

• Experience with AWS Data Science AI services.

• Experience with data visualization (Tableau, Power BI, Matplotlib).

• Familiarity with Docker/EKS.

• Contributions to open-source AI/ML projects.

Note:
If you want to jump into the US market, APPLY NOW. Even if you’re currently employed by another company, you can start part-time until your notice period ends.

Only shortlisted candidates will be contacted.