AI ML Technical Lead
- Globallogic
- 8 - 13 years
- Pune
- 1 month ago
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Job Description
Role Summary: The Technical Lead/Manager will be responsible for leading the AI CoE team, driving the implementation of AI-powered solutions for the organization. They will coordinate across multiple teams, work closely with stakeholders, and oversee the technical aspects of AI/ML projects, ensuring the effective application of generative AI technologies to the product suite.
Key Responsibilities:
- Lead the AI CoE team, ensuring alignment with business objectives.
- Oversee the design, development, and deployment of AI/ML models for financial use cases.
- Work closely with product managers and business stakeholders to understand requirements and deliver actionable AI solutions.
- Provide guidance and mentorship to junior team members.
- Manage project timelines, resources, and risk assessments.
- Collaborate with Data Engineers, AI/ML Engineers, Full Stack Engineers, and QA Engineers to ensure smooth integration of AI solutions.
- Stay updated with advancements in AI/ML technologies and best practices.
Required Experience:
- 8-12 years of experience in AI/ML technologies, with at least 3 years in a leadership role.
- Strong background in AI/ML model development and deployment, particularly in the financial services sector.
- Proficient in Python, R, and other AI-related programming languages.
- Experience managing cross-functional teams in an Agile environment.
- Strong understanding of data science, cloud computing, and AI/ML frameworks (e.g., TensorFlow, PyTorch, etc.).
Tech Specifics:
- Programming Languages: Expert-level proficiency in Python (e.g., NumPy, Pandas) and R for AI/ML development; familiarity with Scala is a plus.
- AI/ML Frameworks: Hands-on experience with TensorFlow, PyTorch, and Scikit-learn for building and optimizing models; exposure to Hugging Face for NLP/Generative AI tasks.
- MLOps Tools: Strong command of Docker and Kubernetes for containerization, and Jenkins or GitHub Actions for CI/CD pipelines.
- Cloud Platforms: Deep expertise in AWS (e.g., SageMaker, Lambda), Azure (e.g., Machine Learning Studio), or GCP (e.g., AI Platform, BigQuery) for scalable model deployment.
- Big Data Technologies: Working knowledge of Apache Spark or Hadoop for processing large financial datasets.
- Database Skills: Proficiency in SQL and experience with NoSQL databases like MongoDB or Cassandra for data integration.
- Generative AI: Practical experience with models like GPT, LLaMA, or BERT for applications such as automated reporting or customer chatbots.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: NLP / DL Engineering / Architect
Employement Type: Full time
Contact Details:
Company: GloballogicLocation(s): Pune
Keyskills: Artificial Intelligence Machine Learning SQL R Python Tensorflow Natural Language Processing Neural Networks Scikit-Learn Deep Learning Pytorch Data Science Image Processing Aiml Keras Computer Vision
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GlobalLogic is a full-lifecycle product development services leader thatcombines deep domain expertise and cross-industry experience to connectmakers with markets worldwide. Using insight gained from working on innovative products and disruptive technologies, we collaborate with customers to...
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