Position: AI/ML Lead
Company: S-PRO
Experience required: 5y
Category: Data Science
English level: intermediate
Published: 2022-05-01T00:00:00+03:00

S-PRO is a software development and IT consulting partner. We develop unique products tailored to the client’s needs and requirements and accelerate business. 

Our workflow with every project is** Consultancy, Discovery, Build, and Maintain.**

Industry and technology expertise is our strength. **Research & Development is our energy.**

With every project, we focus on a business need and deep-diving to clients’ core issues. Only after this analysis can we start development. This approach guarantees delivery of just the right product to our customers and minimizes idle work for our team.

**Industries we gained the expertise in:**
- FinTech
- Healthcare

We are looking for an experienced, dedicated AI/ML Lead to create, manage a Data Science team and implement the best practice in artificial intelligence and machine learning solutions. This position will require someone who is passionate about delivering high-quality results and people development. Become one of us and we’ll help you unleash your potential and create the most rewarding and challenging projects using powerful AI solutions.

**In this role, you’ll get to:**
- Maintain ownership and responsibility of company expertise in artificial intelligence and machine learning practice;
- Working closely with the Engineering Director and C-Levels;
- Drive, create and guide Data Science team to successful delivery;
- Get involved in multiple projects and foster quality processes;
- Participate in creating and improving existing AI/ML offering and marketing materials.

**Requirements:**

**Hard skills**
- At least 5 years of experience in software development;
- 2+ years of design and implementation of AI/ML solutions;
- Experience with Python;
- Experience in full machine-learning development cycle (data preprocessing, feature engineering, model selection and evaluation, deployment);
- Experience with machine learning libraries (TensorFlow, PyTorch, Keras);
- Knowledge with data structures, algorithm design, problem solving, and complexity analysis;
- Strong requirements gathering and estimation;
- Upper-Intermediate English level or higher.

**Personal qualities**
- Ability and willingness to multi-task and learn new technologies quickly;
- Ability to present complex technical information in a clear and concise manner to a variety of customers;
- Ability to work efficiently both individually and within a team;
- Ability to lead a team;
- Ability to present own vision and summaries all aspects of the decision;
- Ability to focus on the result.

**As a plus**
- Previous experience on a Lead position in service/outsourcing company;
- Existing experience of working with sales and marketing teams;
- Experience with Big Data stack (Hadoop, Spark etc.).

**Main responsibilities:**
- Participate in pre-sale activities (requirements gathering and discussion expectations with stakeholders);
- Work together with the Engineering Director and Data Science Department to create and deliver the products;
- Demonstrate solutions for clients in customer environments;
- Proactive work with Data Science Department growth;
- Maintain the connection among DevOps team, Engineers team for implementing machine learning solutions and integrate them into existing business environments.

**What we offer:**
- **Long term focus:** we create an environment of transparent communication, minimal bureaucracy, which leads to long-term relationships. Average term of work in the company is 24 months.
**- Development of niche expertise:** we are working in several niches, such as, FinTech, healthcare, and logistics. Therefore, our employees can develop their own expertise in these domains.
**- Continuous learning: **we create employee development plans / personal roadmaps /quick promotion process. The Learning and Development department implements on-the-job training. We have a knowledge base for team members, which is a virtual space with lots of videos of seminars, purchased lectures by external speakers, as well as documents describing work processes.
**- Internal career development:** 80% of our current executives were promoted to those positions within S-PRO. We encourage initiative. If a person wants to set new challenges and grow, we will definitely support them.

**Benefits and perks:**
**- Flexible schedule:** you can start the workday at any time from 8 to 11 in the morning.
**- Hybrid work model: **decide for yourself where you want to work: from our stylish and comfortable offices, your cozy home, or anywhere else.
**- Medical insurance: **all our employees who have passed the probationary period are now registered in our health insurance program.
**- Paid vacations:** so, we need to make sure that our employees regularly take vacations and don’t overwork.
**- Regular salary reviews:** there are two types:
- planned annual salary reviews. Depending on employees’ results, we increase salaries by 20% to 30% annually.
- optional reviews: 5 to 12 months before a planned annual review. Mid-year raises are based on an employee’s performance.
**- Compensation for external training:** we encourage the desire of specialists to develop by paying 50% of the cost of professional courses and conferences. And if someone successfully completes a course and receives a certificate, they may receive 100% compensation.