Project Consultant
Bangalore, Karnataka, India
Arcadis
Arcadis is the leading global design & consultancy organization for natural and built assets. We are over 29,000 people, active in more than 70 countries that generate âŹ3.4 billion in revenues.Â
Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.
We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the worldâs most complex challenges and deliver more impact together.
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Role description:
You know youâre in the right career when work becomes play, when organization purpose aligns with your personal purpose making every day a meaningful day. And your work helps the industry, the environment, and the planet earth in positive ways while you get the opportunities, support and benefits you need.
Passionate, and curious and proactive. Purpose Driven and energized.
Arcadis is looking for looking for people with a passion to drive and execute Digital to the core of everything we do. We firmly believe in âEverything Digital, Digital Everythingâ. We are transforming, we are reimagining the industry, and we are reimagining how communities and nations can help becoming more sustainable places to live for today and future generations. Â
Technology is the core and integral part of what we do, all the way for empowering Arcadians to harnessing power of data and AI/ML for sensors, IIOT and Advanced Drones, the technology teams are Dreaming Big and Delivering on future. As part of our Technology drive, we are looking for on-board talented and passionate Azure data engineers at India Bangalore Location.
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Role accountabilities:
- This position will lead the data science efforts the team is setting out to build and will be core to the company's ambitious roadmap Indiaâs best AI driven platform.Â
- Goes without saying that there will be tremendous responsibility and opportunity for the person to grow.Â
- You will wear multiple hats from a data engineer, data analyst, ML engineer to a data scientist for period.
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Qualifications & Experience:
- 5-7+ years as a Data Scientist.
- Familiarity with breadth of AI/ML/DL applications in domains like Computer Vision and Natural Language Processing.
- Deep understanding of Exploratory Data Analysis, Feature Engineering, Feature Extraction, Feature Importance, Principal
- Component AnalysisÂ
- Ability to understand raw data and build meaningful data pipelines with it.Â
- Knowledge of data management and visualization software and techniquesÂ
- Experience with AI/ML tech-stack from at least one of the major cloud providers like AWS, GCP, AzureÂ
- Ability to follow latest research in related domains and be able to translate them into prototypes and/or solutions.Â
- Experience deploying models to production and edge devices and tuning them on a periodic basis.Â
- Excellent scripting and programming skillsÂ
- Sound knowledge of Python and TensorFlow etc.
- Experience with SQL and NoSQL databasesÂ
- Strong organizational and leadership skillsÂ
- Self-starter, comfortable with ambiguity and at ease working in a fast-paced environment
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Desire Skills:
- Engineering Degree from Tier1 colleges with a specialization in Computer Science or masterâs with major in Statistics or Mathematics.
- Specialization in AI/ML
- Prior experience developing Computer Vision/NLP models for Infrastructure business line.
- Experience with Docker/Kubernetes in hosting and deploying models on scalable clusters with suitable CPU/GPU architectures.Â
- Experience with Power Platform (Powe BI, Power Apps and Power Automate)
- Experience with Hadoop, Apache Spark, Big Query RESPONSIBILITIES:Â
- Collaborate with the Product to identify opportunities and influence Product StrategyÂ
- Engage with cross functional teams to understand their touch points.Â
- Drive innovation to introduce machine learning models in Infra business line products and offerings.Â
- Help establish processes to enable smooth collaboration between data producers and data consumers.
- Mentor and coach team members.Â
- Articulate model outputs to leadership in a simplified manner
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Why Arcadis?
We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. Itâs why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.
Youâll do meaningful work, and no matter what role, youâll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you.
Together, we can create a lasting legacy.
Join Arcadis. Create a Legacy.
Our Commitment to Equality, Diversity, Inclusion & Belonging
We want you to be able to bring your best self to work every day which is why equality and inclusion is at the forefront of all our activities. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity employer; women, minorities, and people with disabilities are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index đ°
Tags: Architecture AWS Azure BigQuery Computer Science Computer Vision Data analysis Data management Data pipelines Docker Drones EDA Engineering Feature engineering GCP GPU Hadoop Kubernetes Machine Learning Mathematics ML models NLP NoSQL Pipelines Python Research Spark SQL Statistics TensorFlow
Perks/benefits: Career development
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