Abu Dhabi, United Arab Emirates
Quantitative Developer working across equity derivatives, options pricing, implied volatility, market data, APIs, analytics, and data infrastructure at a macro hedge fund.
The AI/ML community connecting people, knowledge, research, and opportunities across Kazakhstan and Central Asia.
Jobs
Browse roles
Jobs
Find AI, ML, data, and IT roles shared with the community.
Research
Explore hub
Research
Discover researchers, projects, papers, and collaboration signals.
News
Read updates
News
Follow AI/ML updates, community news, events, and opportunities.
Members
Find people
Members
Find people learning, building, researching, and hiring in AI/ML.
Events
See events
Events
Join meetups, talks, reading clubs, workshops, and recordings.
Channels
Follow
Channels
Follow DSML across Telegram, YouTube, LinkedIn, and community feeds.
Abu Dhabi, United Arab Emirates
Quantitative Developer working across equity derivatives, options pricing, implied volatility, market data, APIs, analytics, and data infrastructure at a macro hedge fund.
Researcher · Almaty, Kazakhstan
2 year Master degree Student

Astana / Office · 1,000,000 to 1,200,000 KZT Gross per month · DSML ML Jobs
Engineering and technology company in the oil and gas sector. Responsibilities: • Translate business needs into ML tasks and prepare data from multiple sources. • Develop classification, regression, clustering, ranking, forecasting, and anomaly-detection models. • Build reproducible data-processing and model-training pipelines. • Monitor model performance, data quality, and drift. Requirements: • Bachelor’s or Master’s degree in a relevant technical field • 3+ years of practical experience in machine learning, data science, or applied analytics • Strong Python and SQL skills • Experience with pandas • NumPy • scikit-learn • LightGBM • XGBoost • CatBoost • Matplotlib • Plotly Optional: • Forecasting • ranking • recommendation systems • anomaly detection • optimization • REST APIs • batch processing • cloud platforms • distributed data-processing tools

Jimmy Yamazaki (the national team’s head coach) on preparing for IOAI: Since the end of June, the schedule has been very packed, with almost no chance for proper rest: we started with the first training camp, where the team was formed and the participants worked on Team Selection contests. Then came a week and a half break, followed immediately by EUROAI (where our residents performed excellently), and now, after just another week, we are at the second training camp. The participants who passed all the selection rounds and reached the Team Selection stage are real monsters and are making strong progress in learning data science. Since the first camp, we have worked through a huge number of problems and covered various topics, from classical linear regression to the finer points of modern transformer design. The full breadth of this knowledge is essential for choosing the right tools to solve olympiad problems, where the key constraints are the number, quality, and speed of testable hypotheses. I really hope the participants’ hard work pays off, and I am immensely grateful to all the coaches who shared their expertise with them.
I’m a final-year Information Systems student with experience in data analytics, SQL, Python, Power BI, and LLM-based data processing. I’m currently looking for a Junior Data Analyst internship or full-time role. I’d love to connect with data professionals, hiring managers, and recruiters, and would appreciate advice, referrals, or opportunities.
Stay updated with the latest global AI and community news

Jimmy Yamazaki, the national team’s head coach, spoke about the packed training schedule and the team’s preparation for IOAI.
Read update
IOAI 2026 starts on August 2, with Kazakhstan hosting the event. DSML thanks the team preparing Kazakhstan’s champions.
Read update
DSML Young celebrates its first year with 17k messages, 4 online events and a paper published at ACL 2026.
Read updateCreate a profile, follow the relevant channels, and take part in technical community activity.