AI/ML Lead -Salary Upto 75LPA

Position: AI/ML Lead (Associate Director Level)

Experience: 12+ years

Mode: Hybrid

Salary: Upto 75 LPA

We are looking for hiring a AI/ML Lead for one of our well established MNC Client

Proficiency in understanding pulling structured and unstructured data from legacy systems to create a data architecture that can drive AI/ML efforts.

• Ability to engage actively with internal stakeholders, helping them understand the intricacies of AI/ML solutions and factors involved in successful execution.

• Ability to leverage latest AI offerings (ChatGPT, GPT 4, CoPilots, Tesseract OCR, OCR with CNN) from Microsoft, AWS, IBM and other providers to deliver solutions specific to the business interests

• Deep hands-on understanding of OCR and BI technologies

• Proven track record in thought leadership, particularly in IT modernization and innovation, to expedite immigration benefits and solve business problems.

• Solution Architect mindset, adept in planning data usage for delivering outcomes through multiple applications and continuously improving AI & ML models.

Essential Qualifications:

• 12+ years in IT with a focus on enterprise data architecture, ML, and BI

• 5+ years leading data teams around enterprise scale AI/ML or RPA efforts

• 3+ years hands-on experience leading teams on use of deep learning frameworks (e.g. Tensorflow or PyTorch)

• Experience with Prompt Engineering for conversational AI

• Proficiency in managing big data and distributed computing environments (e.g., Databricks, Spark, Dask).

• Proven experience in leveraging LLMs for analytics and decision making

• Highly proficient in AWS or Azure data processing (e.g., EC2, S3, Redshift).

• Hands-on leadership of

• Bachelor's degree in Data Science, Statistics, Computer Science, IT Management, Engineering, or similar.

Bonus Qualifications:

• Expertise in Advanced AI Domains: Proficiency in areas such as Natural Language Processing (NLP), OCR with CNN, and AGI showcasing a broad and deep understanding of AI technologies.

• Client Engagement and Collaboration: Excellent skills in engaging with clients, coupled with a strong ability to collaborate on new ideas and concepts, indicating both interpersonal and creative capabilities.

• Innovation and Team Leadership: Experience in creating and implementing innovative roadmaps and aligning teams for efficient delivery, reflecting leadership and strategic planning abilities.

• Data Process Management: Demonstrated expertise in managing and moving data through various processes, ensuring accountability for outcomes, emphasizing operational and execution skills.

• Work Ethic and Team Spirit: An independent worker who embodies a strong work ethic and team spirit, ensuring a balance between autonomy and collaboration.