Who are we?
We are HCLTech, one of the fastest-growing large tech companies in the world and home to 225,000+ people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be. If all this sounds like an environment you’ll thrive in, then you’re in the right place.
Key responsibilities
Technology
- Must know the in and out of the AI/ML algorithm being used and not just the library to call.
- Should have commissioned atl east two projects end to end beyond the Proof of Concept.
- Design state of the art descriptive, diagnostic and predictive algorithms based on the business requirements
- Deliver enterprise level analytics solutions to SLB customers
- Provide analytics solutions in Big data platform which can scale
- Design distributed, GPU and parallelized algorithms
- Architect the data science solutions to complex high dimensional data
- Deep dive on to theoretical and implementation details and provide the solution fundamentals
- Support architecture and platform team to optimize their operation
- Capable to train and gain expertise quickly on new Infrastructure tools and all assigned technologies
Business
- Engage with the business segments and internal stakeholders to capture requirements
- Work closely with analysts and business process managers to develop an end-to-end analytics solution
- Present and Communicate solution design with Business & IT audience
- External Presence
- Engage with the external technical and business community to brand and differentiate analytics best practices in Schlumberger
- Participate in technical forums and other appropriate events and conferences
- Qualifications and Requirements
Essential qualifications
- PhD or Master’s degree in Computer Science, Electrical Engineering, Mathematics and Computing, Operations Research from top tier institutes.
- Devops driven 4-6 years of Industrial experience in developing core machine learning algorithms
- Academically trained in the field of machine learning/AI/Data Science/Computer Vision etc
- Excellent communication, verbal and written skills
- Key competencies in data science technologies
- Strong background in some of these listed areas: Machine learning, time series analysis / sensor processing, AI/Deep Learning, optimization/operations research, text analytics/NLP, Applied Mathematics, Decision Sciences, Computer Vision
- Building and applying machine learning / predictive modelling in real-world use cases
- Strong understanding and implementation and solution architecting of predictive / analytical modeling techniques, theories, principles, and practices
- Strong theoretical foundations in machine learning, optimization, stochastic process, linear algebra etc.
- Excellent knowledge of data mining / predictive modeling tools such as Python, Spark, Tensorflow, Keras, MLlib etc.
- Ability in designing distributed and parallelized algorithms
- Ability in deploying real world solutions in Hive, Spark and other Hadoop Technologies in Cloud and In-premise
- Capable of delivering on multiple competing priorities with little supervision
Other skills and abilities
- Deep understanding of big data platforms such as Azure, Google cloud etc.
- Ability to abstract model representations and formulate repeatable models
- Strong ability to work in a fast-paced environment
- Strong ability to work both autonomously and in a team
- Strong ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to both technical and non-technical audiences
- Understanding of Oil and Gas domain is a plus
- Experience working with, processing and managing large data sets (multi TB scale) is preferred
- Experience in real-time stream processing is a plus
- Keep continuously up-to-date on all assigned technologies
Why Us?
- We are investing in your growth, offering learning and career development opportunities at every level to help you find your spark;
- We offer a virtual-first work environment, promoting a good work-life balance and real flexibility;
- Our company is extremely diverse with representation of 165 nationalities;
- We offer the opportunity to work with colleagues across the globe;
- We offer comprehensive benefits for all employees;
- We are a certified great place to work and a top employer in 25 countries including Romania, offering a positive work environment that values employee recognition and respect;
What do we offer?
- 25 holiday days per year
- Hybrid and full remote contracts will receive 150 RON/month for home gas/electricity/broadband bills
- 786 RON monthly budget in Benefit Online Platform
- Life Insurance cover
- The employees working on bank holidays will be benefitting either of a paid day off in the next 30 days + 100% of the hourly base salary for that specific day OR 200% of the hourly base salary for that specific day.
- Reimbursement for eyeglasses – 25% reimbursed from the total cost, maximum to be reimbursed is 500 RON/year.
- Childbirth allowance of 6500 RON after 1 year in HCLTech.
- Internal trainings and certifications.
HCLTech is committed to protecting and securing the privacy and confidentiality of the Personal Data which it collects directly or indirectly from you when applying for a job at HCLTech either directly or through a third-party human resources agency. This notice (the “Notice”) outlines and explains how HCL Technologies Limited including its subsidiaries, local employing entities, associates, and affiliated companies [collectively referred to as “HCLTech”, “us,” “our”, or “we”] will process your Personal Data in accordance with applicable privacy legislation(s).
Candidate Data Privacy Notice | HCLTech
