Data Scientist

2 days ago

Udaipur, India Antal International Full time
Job Description

Job Title: Data Scientist – Senior II

Location: India (Remote)

Type: Full-Time | Senior Level

Experience: 5–7 Years

Salary: 24-36 LPA

Key Responsibilities

Lead end-to-end ML projects—from research to production.Conduct in-depth machine learning research and stay updated with state-of-the-art advancements.Read, interpret, and implement research papers, especially in the Generative AI domain.Mentor and guide junior data scientists and interns on real-world projects.Design and build ML and deep learning models to solve complex business challenges.Collaborate with cross-functional teams to transform data into decisions and models into products.

Requirements

5–7 years of experience in Data Science or Machine Learning roles.Strong foundation in Statistics and Probability.Advanced proficiency in Python for data science and ML workflows.Hands-on experience with Scikit-learn, Keras, TensorFlow, and PyTorch.Expertise in core ML algorithms: Linear/Logistic Regression, Decision Trees, Gradient Descent, SVMs, etc.Deep familiarity with Transformer architectures and Large Language Models (LLMs).Experience with frameworks like Langchain or LlamaIndex.Ability to translate theoretical models into production-ready code with clarity and precision.

What We Offer

Top-Tier Work Setup: Premium MacBook and accessories for productivity.Flexible Schedules & Remote Support: Flexible working hours, emergency WFH, and utility support.Quarterly Performance Bonuses: Performance-based pay, reviewed quarterly.Learning is Funded: Conferences, courses, certifications, and a dedicated educational allowance.Family-First Culture: Birthday and anniversary vouchers, maternity/paternity leaves.Celebrations & Gifting: Onboarding hampers, festive goodies, and anniversary surprises.Team Bonding Moments: Quarterly lunches, dinners, and company retreats.Healthcare Coverage: Comprehensive health insurance for you and your family.Extra Rewards: Incentives and bonuses for weekend work and successful referrals.

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