Hiring - AI/ML Lead - Remote US

Role: ML Lead

Job Type : Fullm time 

About the role:

You will work on a broad range of cutting-edge data science and machine learning problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning, we would like to talk to you.

Role: ML Lead

Location - Across US Locations

Mandate Skills & Competencies:

● Experience in Programming (Python, R, SQL, NoSQL, Spark) with ML tools & Cloud Technology

(AWS, Azure, GCP) and platforms such as Databricks, Snowflake, Sagemaker

● Experience in Python libraries such as NumPy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc.

● Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems.

● Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making.

● Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Treeetc.)

● Engaging with clients, understanding complex problem statements, and offering solutions in the domains of CPG, Pharma, Banking, Insurance, etc.

● Contribute to internal product development initiatives related to data science.

● Develop data science roadmap, and guide data scientist to meet their deliverables.

● Handling end-to-end client AI and analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.

● Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights

Good to have the following skills and experience:

● Build a trusted advisor relationship with the IT management at clients and internal accounts leadership.

● Build business case for technological investments to be made for future needs and to remain competitive

● Comfortable with large scale data processing and distributed computing

● Excellent written and verbal communication skills.

Desired Experience & Education:

● 6 - 10 years of relevant Machine Learning experience.

● Prefer Master’s Degree in Engineering, Computer Science, Mathematics, Computational

Statistics, Operations Research, Machine Learning or related technical fields.