Senior Data Scientist
3 dni temu
We're Hiring: Senior Data Scientist – AI/ML
Are you passionate about artificial intelligence and machine learning? We're looking for a
Senior Data Scientist
to join our team and build real-world, scalable AI/ML solutions that go far beyond the proof-of-concept phase.
In this role, you'll help design and deliver impactful data science products used across industries, while collaborating with cross-functional teams and working with the latest in big data and cloud technologies.
Key Responsibilities
Technology & Solution Development
- Design and implement advanced
descriptive, diagnostic, and predictive algorithms
based on business needs. - Deliver
enterprise-level analytics solutions
on scalable big data platforms. - Develop and optimize
distributed, GPU-accelerated, and parallelized algorithms
. - Go deep into the
theoretical and practical aspects
of AI/ML models to ensure strong solution fundamentals. - Own end-to-end delivery of projects, including at least
two full-cycle implementations
beyond POC stage. - Architect solutions for
high-dimensional, complex data sets
. - Collaborate with architecture and infrastructure teams to streamline and optimize deployment.
Business Integration
- Work closely with internal stakeholders to
gather and translate business requirements
into data science solutions. - Partner with business analysts and process owners to develop and integrate analytics into workflows.
- Communicate complex analytical concepts and solutions clearly to both technical and non-technical audiences.
External Presence & Thought Leadership
- Represent the company at
technical forums, conferences, and industry events
. - Stay engaged with the external community to
promote best practices and innovation
in analytics.
Qualifications & Requirements
Essential Qualifications
- Master's or PhD in Computer Science, Electrical Engineering, Mathematics, Operations Research, or a related field from a top-tier institution.
- 4–6 years of industry experience
in developing and deploying machine learning solutions. - Solid academic and practical foundation in
ML/AI, data science, or computer vision
. - Strong theoretical background in
machine learning, optimization, stochastic processes, linear algebra
, and related areas.
Technical Expertise
- Proficient in
Python
, with experience using libraries such as TensorFlow, Keras, Spark, and MLlib. - Strong background in
LLMs (Large Language Models)
,
NLP
, and
database management
. - Deep understanding of LLM architecture, functionality, and training processes (hands-on training not required).
- Skilled in
SQL
, data validation and splitting techniques, and fine-tuning transformer-based models. - Experience with tools like
LangChain
and
Docker
is a plus. - Demonstrated ability to design and deploy models in
cloud (Azure, GCP)
and
on-premise big data platforms
(Hive, Spark, Hadoop). - Experience working with
large-scale datasets (multi-TB)
and
real-time stream processing
is a plus. - Familiarity with the
oil & gas domain
is a bonus, but not required.
What We're Looking For
- You're
hands-on with algorithms
, not just calling libraries. - You're an
independent problem-solver
who thrives in fast-paced, collaborative environments. - You're passionate about
turning complex data into real business value
. - You enjoy
communicating your insights clearly
, no matter the audience.
If you're ready to take your AI/ML expertise to the next level and work on innovative, scalable solutions that make an impact—
we want to hear from you
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