Python Job: Machine Learning Engineer

Job Description for: Machine Learning Engineer

Employment Type: Full Time

Location: United Kingdom.(Employees can work remotely)

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OUR MISSION

Corestrat is a business services analytics company which helps businesses gather, simplify and utilize data to become more competitive through faster innovation and smarter capital investment. We are committed to the mission of helping our clients realize their full potential.

CS holistic decision management platform integrates advanced solutions across the risk management spectrum for primarily the banking and financial industry. We aim to create a paradigm shift by building end-to-end analytical driven risk decision solutions to optimize balanced risk reward management.

CS integrates in-depth experience in risk management with strong working knowledge in analytics, to provide value added decision analytics solutions. The company leverages an aggregated 100+ years of global business and risk analytics experience across the financial industry. CS Labs develops powerful and integrated analytical solutions that mosaics structured and unstructured data to enable a radical shift in data driven decisions.

OUR CULTURE

To put it bluntly it’s about getting it done and owning what you do. We don’t hide behind fancy job titles or set up bureaucratic processes. Instead, we treat our people equally, fairly and give them a ton of freedom and autonomy to create something unique and awesome.

We make mistakes, we learn from them, and we back everything up with data and logic.

From engineers to marketers, were on the hunt for exceptional talent to help us scale our business and build sustainable, exciting solutions for the future.

JOB DESCRIPTION

As a Machine Learning Engineer, you will be building high performance services, which will live in cloud (Azure / AWS) and on-premises (Kubernetes) environments.

Many of our services must be optimized to respond in the < 10ms range. To accomplish this, you will be leveraging technologies like message queues, Redis cache, scaling strategies, and other tech to achieve high performance.

Most code is written using the Microsoft technology stack (C#, Net Core)

QUALIFICATIONS

We are looking for people with the following character traits:

Must have:

· Fresh Graduates

. Graduates up to 3years of experience can apply

· Excellent python skills

· Expertise of data science libraries in python such as Pandas, NumPy, SkLearn, scipy, statsmodels, keras, NLTK, Bert, tenser flow, tesseract etc.

· Build supervised and unsupervised models.

· Excellent understanding of model evaluation statistics

· Pickle and unpickle model objects

· Deployed models

Good to Have

· Experience in building machine learning models in banking and finance

· Graduation/Post-Graduation degree

· Basic understanding of financial instruments.

You believe in continuous learning - Things change in our industry continuously, and you always love to learn both the underlying technology and the business motivations of our clients, constantly finding new ways to improve our solution, processes to add value for our clients.

BENEFITS

• Core Benefits: Attractive pay package, Health, Pension, Flexible working
• Learning: Training reimbursement, conference, and training sponsorship
• Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, colour, national origin, sex, sexual orientation, gender identity/expression, age, status as an individual with a disability, or any other applicable legally protected char

Job Type: Permanent

Benefits:

• Flexitime
• Work from home

Schedule:

• Monday to Friday

Supplemental pay types:

• Performance bonus

Ability to commute/relocate:

• London EC3V 3QX: reliably commute or plan to relocate before starting work (required)

Education:

• Master's (preferred)