Data Scientist & Team Lead

Nexibox Technologies Private Limited; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Nexibox Technologies Private Limited in Bengaluru seeks a Data Scientist & Team Lead to drive data science initiatives, architect ML solutions, and guide a small agile team through production deployments.

You will mentor juniors, design end-to-end ML systems, implement MLOps pipelines, and collaborate with product and backend teams to deliver scalable, enterprise-grade AI applications.

Qualifications

• 2–3 years of proven industry experience as a Data Scientist or AI/ML Engineer with a track record of shipping models to production.
• B.Tech, M.Tech, MCA, BCA or related technical degree with an advanced portfolio of real‑world AI apps.
• Mastery of Python and data frameworks (NumPy, Pandas, Scikit‑Learn, PyTorch, TensorFlow).
• Deep understanding of neural networks, NLP, computer vision, and generative AI patterns (LLMs, vector DBs, RAG).
• Strong SQL/NoSQL and deployment tools (Docker, AWS, GCP, Azure).
• Leadership: strong communication and project management to lead sprints and unblock technical hurdles.

Responsibilities

• Technical Leadership: mentor juniors, review code, and set engineering best practices for DS workflows.
• End-to-End ML Architecture: design, build, and deploy scalable ML and DL models into production.
• Strategic Feature Delivery: translate business needs into smart app features with product and backend teams.
• Model Lifecycle Management (MLOps): manage data pipelines, monitor drift, optimize cloud deployments for latency and accuracy.
• Innovation & R&D: explore state‑of‑the‑art AI workflows, LLM fine‑tuning, and prompt engineering frameworks.

Skills

Python

NumPy

Pandas

Scikit-Learn

PyTorch

TensorFlow

NLP

Computer Vision

Generative AI

ML Deployments

Education

B.Tech / M.Tech / MCA / BCA or related degree

Tools

Docker

AWS

GCP

Azure

SQL/NoSQL

Job description

• Department: Engineering / Data Science
• Location: Work from Office (6 Days a Week)
• Employment Type: Full-Time
• Experience Level: 2–3 Years in Data Science & AI/ML
• Salary/Compensation: Competitive / Based on experience

About the Role

We are seeking a highly skilled and proactive Data Scientist & Team Lead to spearhead our data science initiatives and guide our technical execution. In this role, you will bridge the gap between high-level business strategy and hands‑on AI/ML development. You will be responsible for architecture decisions, deployment pipelines, and managing a small, agile team of developers and interns to deliver scalable, intelligent enterprise systems.

Key Responsibilities

• Technical Leadership: Mentoring and guiding junior developers and interns, conducting code reviews, and establishing engineering best practices for the data science workflow.
• End-to-End ML Architecture: Designing, building, and deploying scalable machine learning, deep learning, and predictive models into robust production environments.
• Strategic Feature Delivery: Collaborating with product managers and backend teams to turn complex corporate data and business objectives into smart application features.
• Model Lifecycle Management (MLOps): Overseeing data pipelines, monitoring production model drift, and optimizing cloud‑deployed algorithms for low latency and high accuracy.
• Innovation & R&D: Researching and implementing state‑of‑the‑art AI workflows, custom LLM fine‑tuning pipelines, and prompt engineering frameworks to keep our platform ahead of the curve.

Required Skills & Qualifications

• Experience: 2–3 years of proven industry experience working as a Data Scientist or AI/ML Engineer, with a track record of shipping models to production.
• Education: B.Tech, M.Tech, MCA, BCA, or a related technical degree paired with an advanced portfolio of real‑world AI applications.
• Deep Technical Expertise: Mastery of Python and standard data frameworks (NumPy, Pandas, Scikit‑Learn, PyTorch, or TensorFlow).
• Advanced AI Foundations: Deep understanding of neural networks, natural language processing (NLP), computer vision, and generative AI patterns (LLM architectures, vector databases, Retrieval‑Augmented Generation/RAG).
• Database & Cloud Proficiency: Strong mastery of SQL/NoSQL databases and deployment tools (Docker, AWS, GCP, or Azure).
• Leadership Traits: Excellent communication and project management skills, with a natural capability to lead sprints, unblock technical hurdles, and drive team ownership.