engineering scientist

Ampstek

<div>
 
 Hi Professionals,
 
 
 
 
 
 Greetings From Ampstek!!
 
 
 
 
 
 Hope you are high in your spirits. Please stay safe.
 
 
 
 
 
 Our client is looking for
 
 Applied Scientist
 
 to join a high-growth organization. If you are interested share you resume
 
 sudhakaran.m@ampstek.com
 
 
 
 
 
 
 
 Role: Applied Scientist
 
 
 
 
 Location: Cairo, Egypt(Onsite 5days/Week)
 
 
 
 
 Duration: Contract
 
 
 
 
 
 
 
 Job Description :
 
 
 
 
 
 
 Required skills:
 
 <ul>
 <li>
 2-5 years of experience in developing machine learning models
 </li>
 <li>
 Solid understanding of machine learning concepts and methods
 </li>
 <li>
 Solid data analysis skills to perform statistical analysis and data visualization
 </li>
 <li>
 In-depth experience with natural language processing
 </li>
 <li>
 In-depth experience with distributed big data processing
 </li>
 <li>
 Teamwork and communication skills in an agile development environment
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Thanks &amp; Regards,
 
 
 
 
 Sudhakaran
 
 
 
 
 IT Recruiter | Europe &amp; UK
 
 
 
 
 Email - sudhakaran.m@ampstek.com
 
 
 
 
 Tel - +44(20)45150009
 
 
 
 
 Ampstek Services Limited
 
 
</div>

Applied Scientist

Microsoft

<div>
 
 Overview
 
 
 
 Our team uses the latest in Generative AI technologies to build models, solutions, and experiences to power search innovations in Microsoft Bing and Microsoft Copilot. We are looking for candidates eager to work on cutting-edge large-scale AI services to power the next-gen AI powered search. In particular, we are seeking candidates who are passionate about Deep Learning and latest AI technologies to light up related scenarios.
 
 
 The successful candidate will participate in collaborations with relevant product and business groups inside or outside of Microsoft and will provide expertise or technology to create business impact by bridging the gap between research (in Microsoft AI [MAI], other Microsoft divisions, or in the community) and the relevant product teams.
 
 
 The ideal candidate will work with limited guidance, to create product impact through deep knowledge of AI and ML and will continuously seek to acquire knowledge of industry trends and advances in applied AI/ML technologies. We are looking for Applied Scientists who can research and develop an understanding of relevant tools, technologies, and methods that can be utilized to improve product quality, performance, or efficiency, while reinforcing a positive &amp; inclusive environment by applying best practices, and producing high quality documentation of the work in progress, as well as experimentation results, and plans, along the way. An Applied Scientist should understand and follow ethics and privacy policies when executing research processes and/or collecting data/information.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Prepares data to be used for analysis by reviewing criteria that reflect quality and technical constraints. Reviews data and suggests data to be included and excluded. Describes actions taken to address data quality problems. Assists with the development of useable datasets for modeling purposes. Supports the scaling of feature ideation and data preparation. Helps take cleaned data and adapts for machine learning purposes, under the direction of a senior team member. Seeks guidance from senior team members when confronted with problems/challenges.
 </li>
 <li>
 Uses machine learning algorithms that structures, analyzes, and uses data in product and platforms to train algorithms for scalable artificial intelligence solutions before deploying. Begins to develop new machine learning improvements independently while under the direction of a senior team member.
 </li>
 <li>
 Collaborates to leverage data to identify pockets of opportunity to apply state-of-the-art algorithms to improve a solution to a business problem. Uses statistical analysis tools for evaluating Machine Learning models and validating assumptions about the data while also reviewing consistency against other sources. Begins to independently run basic descriptive, diagnostic, predictive, and prescriptive statistics. Assists with the communication of insights under the direction of senior team members.
 </li>
 <li>
 Supports the application and use of intelligence created during the training of algorithms for deployment. Seeks information about large-scale computing frameworks, data analysis systems, and modeling environments to improve models. Helps create a model, apply the model to real products, and then verify effects through iterations. Helps with experiments by putting multiple models in production and evaluating their performance. Sets up monitoring and implementation to track production models, under the direction of a senior team member. Addresses models when that break, under the direction of others.
 </li>
 <li>
 Leverages or designs and uses machine learning/data extraction, transformation, and loading (ETL) of pipelines (e.g., data collection, cleaning) based on data prepared.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
 
 
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Knowledge of one or more ML/DL frameworks and a deep understanding of the different types of algorithms and their applications with hands-on experience in implementing at least a few of the solutions.
 </li>
 <li>
 Solid problem solving and debugging skills.
 
 </li>
 </ul>
 #MicrosoftAI
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Brillio LLC

<div><h1 class="jobSectionHeader">Senior Data Scientist - R01558827</h1>
<div>Senior Data Scientist</div><h6 class="jobSectionHeader">
Primary Skills</h6><ul><li>
Problem Formulation (Business problem to Data Science Problem), OKR Validation against statistical measures, Data Wrangling, Data Storytelling &amp; Insight Generation, Problem Solving, Excel VBA, Data Curiosity, Technical Decision Making (How many iterations to go for vs when to stop iterating), Communication &amp; Articulation: Vocal &amp; Written, Business Acumen (Consume new domains quickly to learn through data), Design Thinking, Data Literacy
</li></ul><h6 class="jobSectionHeader">Specialization</h6><ul><li>
Data Science Foundation: Data Scientist
</li></ul><h6 class="jobSectionHeader">Job requirements</h6><ul><li>
Need B1 resource for Senior Data Scientist with Experience: 6+ Below is JD: Design and develop intelligent, autonomous AI agents using frameworks like LangChain, AutoGPT, CrewAI, etc. Work with LLMs (GPT-4, Claude, LLaMA, Mistral) to create scalable, enterprise-grade agentic solutions. Build and optimize ML/DL models to power decision-making for agents. Collaborate with cross-functional teams to deliver AI-first digital experiences. Stay on the edge of innovation in Generative AI, RAG, Vector Databases (FAISS/Pinecone), Prompt Engineering, and more. Experience in Data Science / Machine Learning / AI. 4 plus years of Hands-on with Python, LLM APIs, and ML/DL libraries (PyTorch, TensorFlow, Scikit-learn). Real-world experience with Agentic AI frameworks and orchestration tools. Strong understanding of cloud-based AI deployments (Azure/AWS/GCP). A growth mindset with curiosity for emerging AI technologies. Working experience with GitHub</li></ul></div>

Senior Data Scientist – R01558827

<div><h1 class="jobSectionHeader">Senior Data Scientist - R01558826</h1>
<div>Senior Data Scientist</div><h6 class="jobSectionHeader">
Primary Skills</h6><ul><li>
Problem Formulation (Business problem to Data Science Problem), OKR Validation against statistical measures, Data Wrangling, Data Storytelling &amp; Insight Generation, Problem Solving, Excel VBA, Data Curiosity, Technical Decision Making (How many iterations to go for vs when to stop iterating), Communication &amp; Articulation: Vocal &amp; Written, Business Acumen (Consume new domains quickly to learn through data), Design Thinking, Data Literacy
</li></ul><h6 class="jobSectionHeader">Specialization</h6><ul><li>
Data Science Foundation: Data Scientist
</li></ul><h6 class="jobSectionHeader">Job requirements</h6><ul><li>
Need B1 resource for Senior Data Scientist with Experience: 6+ Below is JD: Design and develop intelligent, autonomous AI agents using frameworks like LangChain, AutoGPT, CrewAI, etc. Work with LLMs (GPT-4, Claude, LLaMA, Mistral) to create scalable, enterprise-grade agentic solutions. Build and optimize ML/DL models to power decision-making for agents. Collaborate with cross-functional teams to deliver AI-first digital experiences. Stay on the edge of innovation in Generative AI, RAG, Vector Databases (FAISS/Pinecone), Prompt Engineering, and more. Experience in Data Science / Machine Learning / AI. 4 plus years of Hands-on with Python, LLM APIs, and ML/DL libraries (PyTorch, TensorFlow, Scikit-learn). Real-world experience with Agentic AI frameworks and orchestration tools. Strong understanding of cloud-based AI deployments (Azure/AWS/GCP). A growth mindset with curiosity for emerging AI technologies. Working experience with GitHub</li></ul></div>

Senior Data Scientist – R01558826

White Mastery Systems

<ul><li>Data &amp; Tech: Data Scientist, AI/Machine Learning Specialist, Software Developer, Data Analyst, Python Developer.</li><li>Research &amp; Development: Research Scientist, Biochemist, Junior Research Fellow, Lab Technician, Biotech Researcher, Pharmacovigilance Associate.</li><li>Healthcare: Assistant Dietician, Radiographer, Clinical Research Associate, roles in Pharmacy.</li><li>Education &amp; Academia: University Lecturer, Professor, PGT Teacher (with B.Ed.).</li><li>Engineering: Electrical Engineer, Automation Tester, roles in Water Quality.</li><li>Government &amp; Other Sectors: Roles in ISRO, Ministry of Defense, Finance, Environmental Agencies, and</li></ul>Job Types: Full-time, Permanent, FresherPay: ₹18,086.00 - ₹52,273.64 per monthBenefits:<ul><li>Health insurance</li><li>Paid sick time</li><li>Paid time off</li><li>Provident Fund</li></ul>Work Location: In person

M.Sc freshers

Enerjisa Üretim

<div>
 
 We are looking for a
 
 Data Scientist/Junior Data Scientist
 
 to join our team in &Idot;stanbul Ata&scedil;ehir Head Office.
 
 
 
 
 
 At Enerjisa &Uuml;retim, nature and people are our true sources of energy. Every step we take moves us closer to a more sustainable future. As our operations expand across the globe, we continue to create value that goes beyond borders.
 
 
 58% of our energy portfolio comes from renewable sources &mdash; and we&rsquo;re already shaping tomorrow&rsquo;s energy, starting today.
 
 
 People are at the heart of everything we do. Our growth is driven by a deep commitment and enriched by the diverse voices that make us who we are.
 
 
 We believe true transformation begins together.
 
 
 
 
 
 
 Ready to be part of the change? Join us &mdash; because the future changes with us.
 
 
 
 
 
 
 
 
 DATA SCIENTIST/ JUNIOR DATA SCIENTIST
 
 
 
 
 Are you passionate about the intersection of data science and the energy sector? We are on the lookout for a talented Data Scientist/Junior Data Scientist to join our team and contribute to cutting-edge projects in energy generation, trading, and derivatives. If you thrive on developing quantitative solutions, building decision support systems, and collaborating across multidisciplinary teams, this opportunity is for you!
 
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's or Master's Degree preferably in Industrial Engineering, Computer Science, Engineering or a related quantitative field with a focus on applied statistics, AI, machine learning
 </li>
 <li>
 At least 1-2 years experience on related fields
 </li>
 <li>
 Hands on experience with data science projects &mdash; from requirement specification till deploying, maintaining, and improving production-ready solutions
 </li>
 <li>
 Hands on experience on real-world optimization problems and ability to develop large optimization algorithms or heuristics to solve these problems
 </li>
 <li>
 Hands on experience in scripting languages Python and R
 </li>
 <li>
 Experience of coding in optimization tools as XPRESS, CPLEX or GUROBI or optimization focused Python libraries as xpress, pulp, pyomo
 </li>
 <li>
 Experience with machine learning models
 </li>
 <li>
 Experience on data consumption methods (SQL, API, Azure Service Bus)
 </li>
 <li>
 Experience with cloud environment is a plus
 </li>
 <li>
 Experience with DevOps tools (GitHub, Docker) is a plus
 </li>
 <li>
 Knowledge of Turkish energy sector is a plus
 </li>
 <li>
 Fluent in English
 </li>
 </ul>
 
 
 
 
 
 Job Descriptions:
 
 
 <ul>
 <li>
 Developing quantitative solutions centered around energy generation, trading, and derivatives
 </li>
 <li>
 Developing statistical forecasting models, simulation tools, optimization algorithms and mathematical models for stochastic processes
 </li>
 <li>
 Building decision support systems from scratch
 </li>
 <li>
 Performing fundamental data analysis and data visualization
 </li>
 <li>
 Performance tracking and maintaining the existing products
 </li>
 <li>
 Collaborating with backend, frontend, data engineering, product and business teams for model development and implementation by regarding the secure software development cycle
 </li>
 </ul>
 
 
 
 
 
 What Awaits You at Enerjisa &Uuml;retim?
 
 
 <ul>
 <li>
 
 Hybrid Working Model
 
 </li>
 <li>
 
 Master&rsquo;s Degree Support
 
 </li>
 <li>
 
 Flexible Benefits
 
 
 (With our "Sana G&ouml;re" program, you can customize your benefits based on your individual needs and preferences)
 
 </li>
 <li>
 
 Child&amp;Pet-Friendly Policies
 
 </li>
 <li>
 
 Collective&amp;Special Leave Options
 
 </li>
 <li>
 
 Learning&amp;Development Programs and LinkedIn Learning Membership
 
 </li>
 <li>
 
 Power MBA Development Program
 
 
 (In collaboration with Sabanc&inodot; University Executive Development Unit &ndash; offering training opportunities in energy markets, generation technologies, data analytics, strategy, finance, and more)
 
 </li>
 <li>
 
 Social Activity Clubs
 
 
 (Sports, arts, travel, gastronomy)
 
 </li>
 <li>
 
 Healthy Living Services
 
 
 (Fitness trainers, dietitian support, and wellness programs)
 
 </li>
 <li>
 
 Parent Support Program
 
 
 (Includes support from nurses, dietitians, psychologists, and coaches from pregnancy through postpartum)
 
 </li>
 <li>
 
 Private Pension Plan
 
 (with company Contributions)
 </li>
 <li>
 
 Private Health and Life Insurance
 
 </li>
 <li>
 
 Sabanc&inodot; Life Privileges
 
 
 (Exclusive offers in shopping, travel, technology, wellness, and more)
 
 </li>
 </ul>
 
 👉
 
 
 Click Here To Watch Our Office Promotional Video
 
 
 
</div>

Data Scientist/Junior Data Scientist

Qualitest

<div>
 
 Data Scientist &ndash; QA &amp; AI Enablement (Hub Model)
 
 
 Role Summary
 
 
 
 We are seeking one Data Scientist to join the Hub component of the client hub-and-spoke engagement model. The Data Scientist will play a key role in supporting the deployment, refinement, and optimization of Coco bots and AI-driven quality engineering initiatives.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Participate in daily stand-up meetings, provide status updates, highlight risks, and deliver daily and weekly status reports.
 </li>
 <li>
 Collaborate with business and technical stakeholders to gather representative and high-quality datasets for AI model development and testing.
 </li>
 <li>
 Perform statistical analysis, data visualization, data cleansing, and preparation of datasets for AI/ML testing and validation.
 </li>
 <li>
 Evaluate the effectiveness, reliability, and accuracy of new and existing data sources using appropriate data assessment techniques.
 </li>
 <li>
 Apply predictive modeling techniques to improve QA efficiency and optimize broader business outcomes.
 </li>
 <li>
 Coordinate with cross-functional teams to implement data models and monitor their operational outcomes.
 </li>
 <li>
 Develop and maintain processes, metrics, and tools to continuously monitor model performance, data quality, and accuracy over time.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience (Must Haves)
 
 
 
 <ul>
 <li>
 AI / Machine Learning: Proficiency level 4/5
 </li>
 <li>
 Predictive Modeling: Proficiency level 4/5
 </li>
 <li>
 Data Modeling Implementation: Proficiency level 3/5
 </li>
 </ul>
</div>

Data Scientist- QA and AI Enablement

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