AI/ML Engineer

66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform their business challenges into opportunities and shape the future of work.

At 66degrees, we believe in embracing the challenge and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

As the ideal AIML Engineer, you are someone who can do a deep technical dive and communicate effectively with others. You love wrangling messy data into an elegant solution, and helping others understand the power of their data. This role is a chance to have a huge impact on how businesses operate and make decisions on a daily basis.

• Dive deep into a wide range of data (tabular, text, image, etc.) to identify pain-points and deliver data-driven insights to our clients.
• Utilize analytical techniques to determine areas of opportunities to help meet business goals.
• Leverage GCP services to train and deploy off-the-shelf (Vertex AI/AutoML/BQML) or custom models to address a client’s business problem.
• Be a thought leader for your team on projects and contribute to key practice initiatives.
• Act as subject matter expert on pre-sales calls and requests for proposals. 
• Drive successful delivery of analytics solutions.
• Create reports and presentations that showcase the value of your solution to our clients
• Work with other members of the data science team to establish a center of excellence and create standard operating procedures, accelerators, and sales assets

Qualifications

• 3-5 years of experience with Data Science/AIML
• 2+ Years programming in Python (preferred) and R. 
• 2+ Years’ Experience SQL
• Knowledge of Data Warehouses (Snowflake, BigQuery, Redshift, Synapse).
• Experience with version control systems, such as Git/Github
• Big Data processing framework experience (eg Spark/Pyspark, Dask, Hive).
• Experience developing Machine Learning models and using Deep Learning frameworks like Tensorflow, Keras, PyTorch.
• Ability to communicate complex, technical processes to non-technical business stakeholders.
• Ability to track changing business requirements and deliver quality solutions both independently and with teams of varying skill sets.
• Bachelor’s degree in Data Science, Computer Science or similar. 

Nice to Have 

• Experience with Google Cloud Platform