About us :

From building entire infrastructures or platforms to solving complex IT challenges, Cambridge Technology helps businesses accelerate their digital transformation and become an AI-first business. With over 20 years of expertise as a technology services company, we enable our customers to stay ahead of the curve by helping them figure out the perfect approach, solutions, and ecosystem for their business. Our experts help customers leverage the right AI, big data, cloud solutions, and intelligent platforms that will help them become and stay relevant in a rapidly changing world.

CT Labs is currently looking for highly motivated individuals.

CT Labs is Cambridge’s in-house team responsible for curating and incubating intellectual capital for future products and managed services, e.g., operationalized AI and the Digital Twin of Operations (DToO) platform. We participate in client engagements as part of our curation and incubation process. We leverage and integrate vendor tools and industry standards to create proofs-of-concept and create the technical foundation for future commercial offerings.

No Of Positions : 1

Skills Required :

• 
  The ideal candidate will have a bachelor’s degree in data science, statistics, or related discipline with 3-5 years of experience, or master’s degree with 2-3 years of experience. A strong candidate will also possess many of the following characteristics

• Strong problem-solving skills with emphasis on achieving proof-of-concept

• Knowledge of statistical techniques and concepts (regression, statistical tests, etc.)

• Knowledge of machine learning and deep learning fundamentals

• Experience with Python implementations to bulid ML and deep learning algorithms (e.g., pandas, numpy, scikit-learn, statsmodels, Keras, PyTorch, etc.)

• Experience writing and debugging code in an IDE

• Experience using managed web services (e.g., AWS, GCP, etc.)

• Strong analytic and communications skills

• Curiosity, flexibility, creativity and a strong tolerance for ambiguity

• Ability to learn new tools from documentation and internet resources

• Ability to work from home with up to 20% travel to client sites

Roles and responsibilities :

• 
  You will work on a small, core team alongside other engineers and business leaders throughout Cambridge with the following responsibilities:

• Collaborate with client-facing teams to design and build operational AI solutions for client engagements

• Identify relevant data sources for data wrangling and EDA

• Identify model architectures to use for client business needs

• Build full-stack data science solutions up to MVP that can be deployed into existing client business processes or scaled up based on clear documentation

• Present findings to teammates and key stakeholders in a clear and repeatable manner

• Technologies will include Business process Automation using low code (e.g., BPMN, CMMN, DMN), Python and AI/ML using PyTorch and other XOps tools for AI/ML at scale.

Experience :

3-6Yrs