Job Title: Associate Lead Data Scientist - AI/ML

Experience: 8+ Years

Location: Hyderabad (4 Days a week)

We are seeking an experienced Associate Lead Data Scientist to drive our AI and data science initiatives. In this role, you will lead a team of data scientists and engineers to design, develop, and deploy advanced machine learning and AI solutions. You will partner closely with business leaders to translate complex data into actionable insights, while ensuring best practices in data science, MLOps, and scalable AI systems.

Key Responsibilities:

- Design and implement advanced machine learning, deep learning, and AI models across domains such as NLP, computer vision, recommendation systems, and generative AI.

- Oversee data strategy, including preprocessing, feature engineering, and large-scale data pipelines.

- Drive adoption of MLOps best practices for model development, deployment, and monitoring.

- Lead and mentor a team of data scientists, ML engineers, and analysts.

- Collaborate with stakeholders to understand business problems and define data-driven solutions.

- Stay up to date with the latest advancements in AI/ML and evaluate their potential application.

- Ensure models are explainable, ethical, and aligned with regulatory/compliance requirements.

Primary (Must-Have) Skills:

- Strong foundation in Mathematics, Statistics, and Machine Learning theory.

- Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face).

- Proven expertise in NLP, Computer Vision, or Generative AI (Transformers, RAG, LLMs, CNNs, Vision Transformers).

- Hands-on experience with Big Data technologies (Spark, Hadoop, Kafka, Hive).

- Strong knowledge of SQL and data pipelines. Experience with cloud platforms (Azure ML, AWS SageMaker, or GCP AI Platform).

- Understanding of MLOps (CI/CD, Docker, Kubernetes, model monitoring).

Secondary (Good-to-Have) Skills:

- Programming experience in Java/Scala/R.

- Familiarity with web/backend integration (REST APIs, Django, FastAPI, Spring Boot).

- Knowledge of data governance, ethics, and compliance in AI.

- Strong business acumen and ability to translate insights into strategies.

- Excellent communication, leadership, and stakeholder management skills.

Qualifications:

- Bachelor's/Master's/PhD in Computer Science, Statistics, Mathematics, Data Science, or related field.

- 8+ years of experience in Data Science/AI, with at least 2 - 3 years in a leadership role.

- Proven track record of delivering AI/ML projects at scale in production environments.