Technical Lead - Data Science

Responsibilities

• A keen desire to solve business problems, and to find patterns and insights within structured and unstructured data.
• Ability and willingness to work independently and lead a team.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Strong ability to formulate business problems mathematically and strong problem-solving skills.
• Proven data manipulation skills.
• Have been active in the community in terms of articles / blogs / speaking engagements at conferences.
• Lead the design, development, and deployment of Generative AI models (eg, GANs, VAEs) for various business applications.
• Play a key role in establishing and implementing MLOps practices within the team, ensuring efficient and scalable machine learning workflows, including deployment on cloud infrastructure like AWS, GCP, Vertex AI, and Azure.
• Work closely with business stakeholders to understand their needs and translate them into actionable data science solutions leveraging Deep Learning and Machine Learning techniques.
• Stay up-to-date on the latest advancements in Generative AI, MLOps, Deep Learning, Machine Learning, and other relevant data science techniques.
• Effectively communicate complex technical concepts to both technical and non-technical audiences.
• Collaborate with cross-functional teams (engineering, product, etc) to ensure successful integration of data science solutions.

Requirements

• At least 6+ years of experience with recent 6 years associated in Data science.
• Proven experience in building and deploying Generative AI(eg, GANs, VAEs, LLMs, RAG, LoRA/QLoRA, ChatAPIs, CSV Agents, Vector DBS, Langchain) for real-world applications.
• Experience of MLOPs over cloud (Azure/AWS/GCP) and CICD Pipeline.
• Working experience on containerizing ML models.
• Proficiency in Python programming with strong experience in deep learning frameworks like PyTorch or TensorFlow.
• Solid understanding of core Machine Learning concepts (supervised, unsupervised, reinforcement learning) and algorithms (linear regression, decision trees, random forests, etc).
• Experience with data manipulation libraries (eg, Pandas) and data visualization tools (eg, Matplotlib).
• Working knowledge of Databricks for large-scale data processing and model training.
• Solid knowledge of Natural Language Processing (NLP) using word embeddings, BERT, Gensim, Fasttext etc
• Solid experience with data visualization tools such as Matplotlib/ggplot/plotly Significant experience in implementation of Deep Learning based solutions in NLP and/or Computer vision/ Image processing.
• Hands-on
• Experience with deep learning frameworks such as PyTorch, TensorFlow , MxNet etc
• Strong problem solving skills with an emphasis on domain use-case.
• Excellent communication and collaboration skills to lead and mentor a team, as well as interact effectively with stakeholders.
• Good To Have
• Experience with other programming languages like R or Scala.
• Experience in specific industry domains (eg, BFSI, Telecom, E-commerce).
• A track record of open-source contributions or publications in relevant fields.
• We are looking for a passionate and talented data science leader to join our team and help us leverage the power of Generative AI, MLOps, Deep Learning, and Machine Learning to create innovative solutions for our clients.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.