machine learning engineer

Desmata Inc

Job Title: Machine Learning Engineer - Hybrid NYC Location: New York, NYRole Overview:Technical SkillsMust HaveApplied Machine Learning Azure Databricks Big Data Analytics Databricks Certified Data Engineer Associate Data Structures Google Cloud Certified Machine Learning Engineer Machine Learning Operations Pandas Python Library PySparkJob Description<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field.</li><li>Strong experience in machine learning algorithms, predictive modeling, and data mining.</li><li>Proficiency in PySpark, Python Pandas (required) for data science workloads.</li><li>Strong SQL (required) knowledge and experience with relational databases.</li><li>Minimum 3 years of experience with data visualization tools such as Power BI, DAX Queries, and best practices.</li><li>Experience with Azure Databricks, Google Cloud, and modern data science libraries (e.g., scikit-learn, pandas, NumPy).</li><li>Experience with GenAI and large language models.</li><li>Ability to interpret complex datasets and produce actionable insights.</li><li>Must know how to analyze the root cause of dashboard errors.</li><li>Have experience in ML Ops and have a strong coding background.</li><li>Have experience with Natural Language Processing (NLP).</li><li>Knowledge or experience with A/B Testing.</li><li>Working knowledge of designing, training, and implementing machine learning models.</li><li>Familiarity with cloud-based infrastructure.</li><li>Excellent communication and problem-solving skills.</li><li>7 or more years of experience in data science and machine learning engineering.</li><li>Additional Skills (Skills that are a plus, but not required)</li><li>Knowledge of statistical methods and experimental design.</li></ul>ResponsibilitiesAdvanced Analytics &amp; Machine Learning<ul><li>Design, develop, and optimize machine learning models (forecasting, classification, clustering).</li><li>Apply data mining techniques to uncover patterns and insights in large datasets.</li><li>Perform feature engineering, model validation, and performance tuning.</li><li>Explore and deploy modern AI and ML approaches to enhance automation and analytics.</li></ul>Data Preparation &amp; Quality<ul><li>Prepare structured and unstructured data for modeling and advanced analysis.</li><li>Develop scripts and tools for data cleansing, validation, and enrichment.</li><li>Collaborate with Data Engineering to maintain efficient data pipelines.</li><li>Identify data quality issues and propose remediation.</li></ul>Analytics, Insights &amp; Reporting<ul><li>Conduct deep-dive analyses to identify trends and improvement opportunities.</li><li>Communicate complex findings in clear, concise ways to technical and non-technical stakeholders.</li><li>Support the development of dashboards, metrics, and analytical solutions.</li></ul>Cross-Team Collaboration<ul><li>Work with architects, engineers, and analysts to define analytical requirements.</li><li>Contribute to conceptual data model design and workflow optimization.</li><li>Promote best practices in machine learning, analytics, and data governance.</li></ul>Pay: From $55.00 per hourWork Location: In person

Machine Learning Engineer

ai71

<div>
 
 About AI71:
 
 
 
 AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology&mdash;tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.
 
 
 
 The Role:
 
 
 
 As a Senior Machine Learning Engineer at AI71, you&rsquo;ll be responsible for developing, deploying, and optimizing machine learning models and systems that power our AI solutions. You will collaborate with cross-functional teams to translate business challenges into impactful AI products.
 
 
 
 What You'll Do:
 
 
 
 <ul>
 <li>
 Model Development: Develop, train, and deploy predictive models that enhance the capabilities of our AI solutions.
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 AI Technologies: Work with state-of-the-art AI techniques, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), and apply them to real-world business contexts.
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 Cross-Functional Collaboration: Partner with business stakeholders to understand objectives and translate them into actionable machine learning tasks.
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 Model Optimization: Continuously monitor, evaluate, and improve models based on real-world performance and evolving business needs.
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 Data Pipeline Maintenance: Implement and manage robust data preprocessing pipelines to ensure high-quality, reliable input data for model development.
 
 
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 </ul>
 
 What You'll Bring:
 
 
 
 <ul>
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 8+ years of experience in AI, Machine Learning, Reinforcement Learning (RL), Data Science, or a related field.
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 Proven experience with Large Language Models (LLMs) and fine-tuning techniques.
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 Master&rsquo;s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field.
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 Strong proficiency in programming languages like Python or R. Preference for candidates with a competitive coding background (e.g., ACM/ICPC, NOI/IOI, Top Coder, Kaggle).
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 Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Generative AI technologies, and libraries like Langchain, Weaviate, Langgraph, LlamaIndex.
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 Demonstrated success in applying data science and machine learning to solve real-world, business-critical problems.
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 Excellent communication and collaboration skills with the ability to work across interdisciplinary teams.
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 Family Book for UAE Nationals
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 Strong communication, stakeholder management, and decision-making skills, with a passion for building diverse, inclusive engineering teams.
 
 
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 </ul>
 
 Why AI71:
 
 
 
 <ul>
 <li>
 
 Mission-Driven Work:
 
 Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.
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 Unparalleled Opportunity:
 
 This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources.
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 Career Growth:
 
 We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.
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 World-Class Environment:
 
 Enjoy a flexible working environment and the latest tools &amp; technologies needed to do your best work.
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 </ul>
</div>

Haystack

<div>
 We are working with a pioneering technology firm that is at the forefront of developing cutting-edge AI solutions for real-world applications across various industries. This company is renowned for its innovative approach to machine learning and its commitment to pushing the boundaries of what's possible.
 
 
 The Role
 
 
 <ul>
 <li>
 Develop, train, and optimise advanced computer vision and machine learning systems
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 Deploy machine learning solutions in constrained edge environments
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 Work with a team of experts on innovative AI projects
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 Contribute to the full lifecycle of machine learning model development
 
 
 </li>
 </ul>
 What You'll Need
 
 
 <ul>
 <li>
 Proven experience as a Machine Learning Engineer
 </li>
 <li>
 Expertise in computer vision and machine learning model development
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 Familiarity with deploying models in edge environments
 </li>
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 Strong problem-solving skills and an analytical mindset
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 Excellent communication and collaboration abilities
 
 
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 </ul>
 What's On Offer
 
 
 <ul>
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 Competitive salary based on experience
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 Opportunity to work on groundbreaking AI technology
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 Diverse and inclusive work environment
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 Professional growth and development opportunities
 
 
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 </ul>
 Apply via Haystack today!
 
 
</div>

Hyper Recruitment Solutions

<div>
 
 Role Overview
 
 
 
 We are currently looking for a Machine Learning Engineer to join a pioneering research organisation dedicated to advancing drug discovery through innovative approaches to disordered proteins. This is an exciting opportunity for a candidate with a strong industrial background and a passion for applying machine learning to complex biological problems. Based at their modern facility, you will play a key role in driving forward cutting-edge research in a dynamic, open-source environment.
 
 
 In this position, you will be responsible for developing and deploying machine learning models specifically tailored to tackle the challenges presented by highly dynamic and disordered proteins, with a particular focus on NMR data. You will work independently within a small, autonomous team, influencing research directions and interpreting self-generated data to uncover new insights in this emerging scientific frontier.
 
 
 
 Key Duties And Responsibilities
 
 
 
 Your duties as the Machine Learning Engineer will be varied, however the key duties and responsibilities are as follows:
 
 
 <ul>
 <li>
 Develop and implement machine learning models to analyse complex biological data, particularly focusing on disordered proteins.
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 Collaborate with scientific teams to interpret data, draw insights, and refine experimental approaches based on model findings.
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 Engage directly with real biological problems, balancing modelling expertise with practical, applied research.
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 Use your technical knowledge to drive projects independently within a small, open-source environment, ensuring results are meaningful and impactful.
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 As the Machine Learning Engineer, you will be pivotal in translating scientific challenges into effective computational solutions.
 
 
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 </ul>
 
 Role Requirements
 
 
 
 To be successful in your application to this exciting role as the Machine Learning Engineer we are looking to identify the following on your profile and past history:
 
 
 <ul>
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 A Degree or higher level in a relevant field (e.g., Computer Science, Data Science, Bioinformatics) with proven applied experience.
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 Demonstrated industrial experience in developing machine learning solutions within biological or biochemical research settings.
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 Strong understanding of disordered proteins, protein dynamics, and limitations of static techniques like NMR.
 </li>
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 Proven ability to work independently, drive projects forward, and influence research directions within small, autonomous teams.
 
 
 </li>
 </ul>
 
 WHAT&rsquo;S IN IT FOR YOU?
 
 
 
 This is a rare opportunity to contribute to groundbreaking research in drug discovery at a forward-thinking, non-profit organisation. You will benefit from a collaborative, open-source environment with significant influence over scientific direction, paired with a competitive salary package and the potential for sponsorship if required. Working four days on-site offers excellent work-life balance, within a state-of-the-art facility supported by recent government funding.
 
 
 Key Words:
 
 Machine Learning
 
 /
 
 Bioinformatics
 
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 Disordered Proteins
 
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 NMR
 
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 Applied Research
 
 /
 
 Autonomy
 
 /
 
 Biological Data Analysis
 
 /
 
 Open Source
 
 /
 
 Innovation
 
 /
 
 Drug Discovery
 
 
 
 "Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the STEM sectors, combining recruitment expertise with scientific knowledge to help you advance your career".
</div>

Code Compass 🧭

<div>
 
 🤖 Machine Learning Engineer &ndash; Computer Vision &amp; Generative AI &ndash; 100%
 
 
 
 
 
 📍 Berlin, Germany | 💰 &euro;50,000 - &euro;70,000 + Benefits | 🌍 Hybrid Working
 
 
 
 
 
 Our client is a technology-driven organisation developing intelligent software solutions that leverage artificial intelligence, automation, and advanced data processing to solve complex business challenges at scale.
 
 
 
 
 
 Operating at the intersection of machine learning, software engineering, and product innovation, they are investing heavily in next-generation AI capabilities and expanding their engineering team to support the continued evolution of their platform and services.
 
 
 
 
 
 This role is ideal for a Machine Learning Engineer who enjoys taking cutting-edge AI solutions from research to production and wants to work on technically challenging projects with tangible real-world impact.
 
 
 
 
 
 ⚙️ Tech Stack:
 
 
 Python, PyTorch, TensorFlow, Computer Vision, Generative AI, Diffusion Models, GANs, Image Processing, Machine Learning, Docker, Cloud Platforms, Production ML Systems, Automation, AI Workflows
 
 
 
 
 
 🚀 About the Role:
 
 
 
 
 <ul>
 <li>
 As a Machine Learning Engineer, you will:
 </li>
 <li>
 Develop, train, and optimise machine learning models focused on computer vision and generative AI applications
 </li>
 <li>
 Build and deploy scalable ML solutions into production environments
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 Design automation solutions that reduce manual effort and improve operational efficiency
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 Monitor model performance, identify improvement opportunities, and enhance reliability and accuracy
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 Collaborate closely with engineering, product, and operational teams to deliver practical AI-driven solutions
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 Research emerging technologies and rapidly evaluate their suitability for business applications
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 Contribute to the evolution of production-grade machine learning infrastructure and workflows
 </li>
 </ul>
 
 
 
 
 ➕ Nice to Have:
 
 
 
 
 <ul>
 <li>
 Several years of hands-on experience within machine learning and computer vision
 </li>
 <li>
 Strong Python development skills with experience using frameworks such as PyTorch or TensorFlow
 </li>
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 Practical experience working with generative AI technologies including diffusion models and GANs
 </li>
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 Understanding of ML deployment, scalability, performance optimisation, and production environments
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 Experience with Docker and cloud-based infrastructure
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 Knowledge of creative AI tools and visual content workflows
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 Experience working with image-based products, digital content platforms, or related industries
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 Strong analytical thinking combined with a pragmatic, solution-oriented mindset
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 Ability to communicate effectively in an international and cross-functional environment
 </li>
 </ul>
 
 
 
 
 💪 Benefits:
 
 
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge AI and machine learning technologies
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 Highly collaborative and innovative working environment
 </li>
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 Flexible working arrangements with hybrid options
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 Exposure to challenging technical problems with real-world impact
 </li>
 <li>
 Professional development support, training, and continuous learning opportunities
 </li>
 <li>
 Modern working environment with strong team culture and regular social activities
 </li>
 </ul>
 
 
 
 
 
 ✉️ Due to the volume of applications, we may not be able to respond to everyone individually. However, we genuinely appreciate every application and will contact shortlisted candidates directly.
 
 
</div>

Stedin

<div><h2 class="jobSectionHeader">Jouw energie in de plus</h2>
Als Machine Learning Engineer werk je op een state-of-the-art MLOps platform en bouw je mee aan complexe ML producten en data-oplossingen die direct bijdragen aan de energietransitie bij Stedin. 
Waarom werken bij Stedin jou energie oplevert:<ul><li>
Werken aan impactvolle ML-oplossingen voor de energietransitie.</li><li>
Veel ruimte voor innovatie, eigenaarschap en persoonlijke groei.</li><li>
Hybride werken met een sterk team en moderne tech stack (Azure, Databricks).</li></ul><h2 class="jobSectionHeader"> 
Werk om trots op te zijn</h2>
Als machine learning engineer denk je mee over de inrichting van het platform en zorg je ervoor dat ML oplossingen er vlekkeloos op draaien. Hiermee draag je bij aan het betrouwbaar en toekomstbestendig maken van ons energienet. Je helpt data scientists binnen heel Stedin met het operationaliseren van hun modellen en zorgt dat ze schaalbaar en robuust draaien. Daarmee lever je direct impact op de energietransitie. 
Een dag als Machine Learning Engineer<ul><li>
Je start met de daily stand-up en stemt af met data scientists en engineers.</li><li>
Je ontwikkelt en verbetert machine learning modellen en zet deze live binnen het platform.</li><li>
Je werkt aan pipelines, MLOps en schaalbaarheid van modellen.</li><li>
Je spart met collega&rsquo;s over technische oplossingen en nieuwe idee&euml;n.</li><li>
Je helpt minder ervaren collega&rsquo;s groeien in techniek en structuur.</li></ul><h2 class="jobSectionHeader"> 
Hier laad jij van op</h2>
Alle financi&euml;le arbeidsvoorwaarden op een rij:<ul><li>
Een bruto maandsalaris tot &euro; 7.124,60 (bij 40 uur), 24,5 vakantiedagen en pensioenopbouw bij ABP.</li><li>
Een persoonlijk budget van 24% bovenop je salaris (incl. vakantiegeld), vrij te besteden.</li><li>
Een laptop en telefoon of een BYOD-vergoeding.</li></ul>
Daar komt dit nog bovenop:<ul><li>
Moderne thuiswerkfaciliteiten en een thuiswerkvergoeding van &euro; 2,40 per dag. Bij Stedin werken we 50% thuis en 50% op kantoor.</li><li>
Reizen naar kantoor doe je met de ov-vrijregeling. Dat is een ov-kaart die je ook in je vrije tijd kan gebruiken. Of met de flexibele reisregeling, waarbij je zelf kiest, combineert en varieert hoe je naar je werk reist en een extra vergoeding krijgt als je met de fiets komt.</li><li>
Jouw ontwikkeling staat centraal: events bezoeken met collega&rsquo;s en trainingen en opleidingen volgen. Zo haal jij het beste uit jezelf.</li></ul><h2 class="jobSectionHeader"> 
Vol energie vooruit met team Data Science &amp; Engineering</h2>
Je werkt in het Machine Learning team binnen het Data Office. Hier werk je samen met data scientists en engineers die allemaal dezelfde drive delen: impact maken met data. De sfeer is open en informeel, met veel ruimte om idee&euml;n te delen en van elkaar te leren. Minstens twee keer per week werk je samen op kantoor in Rotterdam, naast station Blaak. Daarnaast zijn er nog talloze leuke activiteiten of initiatieven zoals borrels, sportactiviteiten, Jong Stedin, F-empower of NetAnders. 
 
Met deze kwaliteiten groei jij hier verder
Je bent analytisch sterk en denkt in oplossingen. Je pakt eigenaarschap, werkt gestructureerd en weet anderen mee te nemen in jouw idee&euml;n. Daarnaast ben je communicatief vaardig en deel je actief kennis binnen het team.
Verder heb je:<ul><li>
Minimaal 2 jaar ervaring als machine learning engineer of in een vergelijkbare rol.</li><li>
Sterke programmeervaardigheden in Python en ervaring met schaalbare ML-oplossingen.</li><li>
Ervaring met Azure (Databricks, ADLS), MLOps en tools zoals Kubernetes, Airflow en Spark.</li><li>
Voor deze functie is uitstekende beheersing van de Nederlandse taal op minimaal B2‑niveau vereist, in spreken, lezen, schrijven &eacute;n begrijpen.</li></ul> 
Zet de stap naar jouw volgende uitdaging
Zin om met jouw werk echt impact te maken op de energietransitie? Solliciteer direct via de knop.
Goed om te weten:<ul><li>
Je werkt in principe minimaal 40 uur per week. Wil je er meer uithalen? 36 of 32 uur is ook een optie.</li><li>
Solliciteren kan tot 5 juli. De eerste gesprekken vinden plaats op 8 en 10 juli bij ons op kantoor aan de Blaak.</li><li>
Een (pre) employment screening en assessment maken onderdeel uit van het proces.</li></ul>
Solliciteer direct</div>
 <div><div><h2 class="jobSectionHeader">De plussen van deze baan</h2>
</div><div><ul><li>50% thuiswerken met &euro;750,- voor jouw thuiswerkplek</li>
<li>Iedere maand je persoonlijk budget kiezen van 24%</li>
<li>Mooie techniek, veel uitdaging &eacute;n maatschappelijke impact</li>
<li>Volop mogelijkheden om te groeien</li></ul></div></div>
 <div></div><div><div><div><div><h2 class="jobSectionHeader">Zo solliciteer je voor deze functie</h2>
In een paar stappen naar je baan!
</div><div>Solliciteren
<div>Je solliciteert via onze website. Onder de vacature vind je een knop met een digitaal sollicitatieformulier, waarin je je cv en motivatie kunt uploaden.
</div>Ontvangstbevesting
<div>Na je sollicitatie ontvang je een automatische bevestiging per e-mail. Niet ontvangen? Controleer je spamfilter of je ongewenste e-mail. Of neem even contact met ons op.
</div>Eerste selectie
<div>Wij bekijken je cv en motivatie. Als die aansluit bij de vacature, nodigen we je uit voor de volgende stap.
</div>Selectiegesprek
<div>Je eerste gesprek is altijd met een aantal toekomstige collega&rsquo;s. Dit kan een leidinggevende, recruiter of aanstaande collega zijn. We bespreken je kennis, ervaring en ontwikkelmogelijkheden. Dat laatste is belangrijk, omdat door de energietransitie alles razendsnel verandert. We vertellen natuurlijk ook wat we jou te bieden hebben. Geloven we dat er een klik is, dan volgt er een vervolggesprek.
</div>Online assessment
<div>Voor sommige functies maak je een online assessment. Daarin testen we je capaciteiten, persoonlijkheidskenmerken en ontwikkelmogelijkheden. Als er een match is, nodigen we je uit voor een gesprek.
</div>Voorstel arbeidsvoorwaarden
<div>Is er na het vervolggesprek nog steeds die perfecte match, dan ontvang je een arbeidsvoorwaardenvoorstel. Zeg jij &rsquo;JA&rsquo;, dan zeggen wij &rsquo;WELKOM&rsquo; en gaan we samen veel moois doen.
</div>Screeningsbeleid
<div>Wij verwachten van elkaar dat we altijd betrouwbaar en integer zijn. Dat we handelen in het belang van onze mensen, onze organisatie en onze klanten. Om deze betrouwbaarheid en integriteit zoveel mogelijk te garanderen, voeren wij een screeningsbeleid. Dit betekent dat we van nieuwe collega&rsquo;s een Verklaring Omtrent het Gedrag (VOG) vragen. Je ontvangt van ons een instructie hoe je deze kunt aanvragen. Voor sommige functies geldt een screeningsplicht. Dit betekent dat er een uitgebreide screening wordt gedaan.
</div></div></div></div><div></div><div><div><div>Vragen? Stel ze aan Marloes Cassuto +31 (6) 15297058 Marloes.Cassuto@stedin.net</div></div></div></div>

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