ml systems engineer

EvenUp

<div>EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.
We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.<h1 class="jobSectionHeader">
Life as an Engineer at EvenUp
</h1><h1 class="jobSectionHeader">Location &amp; Work Model</h1>
This is a hybrid role, with an expectation of being in our SF office three days per week.<h1 class="jobSectionHeader">
About the Team</h1>
The AI Platform team is responsible for building the foundational systems that make large language models accessible, reliable, and scalable across EvenUp&rsquo;s engineering organization. Sitting at the intersection of backend engineering, ML systems, and platform enablement, this team empowers product and application teams to safely and efficiently leverage LLMs in production. The team has already built and deployed industry-leading legal AI models that extract, structure, and summarize complex documents used by clients every day. Their work directly powers EvenUp&rsquo;s ability to deliver faster, higher-quality outcomes for injury victims&mdash;bringing greater fairness, accessibility, and leverage to an otherwise opaque legal system.
What makes this team unique is its deeply technical, multi-disciplinary collaboration between Data Scientists, ML Researchers, and Software Engineers, all working together to bring AI systems into production at scale. The team is focused on building reliable, production-grade AI platforms&mdash;not one-off experiments&mdash;ensuring that LLM-powered systems are robust, scalable, and safe to operate. By creating shared infrastructure and tooling, the AI Platform team has a high-leverage impact across the entire engineering organization, enabling teams to move faster while maintaining high standards for quality and reliability.<h1 class="jobSectionHeader">
Responsibilities</h1><ul><li>
Own and evolve core backend systems and platforms that enable LLM-powered products at scale</li><li>
Drive the technical direction of complex, high-impact initiatives with significant ambiguity</li><li>
Partner closely with Product, ML, and Infrastructure teams to translate abstract requirements into robust engineering solutions</li><li>
Design and deliver scalable, reliable, and maintainable systems that power production-grade AI applications</li><li>
Raise the technical bar through mentorship, best practices, and architectural leadership</li><li>
Influence long-term platform and infrastructure roadmaps with a focus on scalability, maintainability, and developer velocity</li></ul><h1 class="jobSectionHeader">
What You&rsquo;ll Do</h1><ul><li>
Execution &amp; Delivery: Build, ship, and iterate on backend systems that support production-grade LLM applications. Deliver high-quality, maintainable code using a modern tech stack (e.g., Python, Postgres, Kubernetes, Elasticsearch)</li><li>
Architecture &amp; Quality: Lead the architecture and design of resilient, scalable distributed systems. Establish and uphold best practices around system design, performance, observability, and reliability</li><li>
Cross-Functional Collaboration: Work closely with Product, ML, Data, and Infrastructure teams to scope, design, and deliver impactful solutions. Translate high-level product needs into clear technical plans and execution paths</li><li>
Ownership &amp; Growth: Own projects end-to-end&mdash;from early design through deployment and continuous iteration. Mentor engineers and act as a force multiplier across the organization. Evaluate and introduce new tools and technologies to continuously improve platform capabilities</li></ul><h1 class="jobSectionHeader">
What We Look For</h1><ul><li>
Strong experience building and scaling backend systems, platforms, or infrastructure</li><li>
Proven ability to lead complex technical initiatives across teams or domains</li><li>
Deep understanding of distributed systems, system design, and technical tradeoff analysis</li><li>
High standards for code quality, architecture, and long-term maintainability</li><li>
Proficiency in Python, with experience in additional languages such as NodeJS, Go, Java, or C++</li><li>
Clear, structured communication and the ability to influence cross-functional stakeholders</li><li>
Comfort operating in fast-paced, high-growth, and ambiguous environments</li><li>
A strong sense of ownership, accountability, and technical leadership</li></ul><h1 class="jobSectionHeader">
Bonus (Nice to Have)</h1><ul><li>
Experience working with AI/ML systems or LLM-powered applications</li><li>
Exposure to AI platforms, developer enablement tooling, or ML-heavy environments</li><li>
Background in legal tech, mission-driven products, or social-impact engineering</li><li>
Prior startup or scale-up experience</li></ul>
#LI-Hybrid
Notice to Candidates:
EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team &ndash; please know that we have no affiliation or connection to these situations. We only post open roles on our career page (evenuplaw.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, no-reply@ashbyhq.com or no‑reply@canditech.io email addresses.
To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you&rsquo;re interested in a role, please submit your application directly through our careers page.
If you receive communication from someone you believe is impersonating EvenUp, please report it to us at talent-ops-team@evenuplaw.com. Examples of fraudulent domains include &ldquo;careers-evenuplaw.com&rdquo; and &ldquo;careers-evenuplaws.com&rdquo;.
Benefits &amp; Perks:
As part of our total rewards package, we offer attractive benefits and perks to our employees, including:<ul><li>
Choice of medical, dental, and vision insurance plans for you and your family</li><li>
Additional insurance coverage options for life, accident, or critical illness</li><li>
Flexible paid time off, sick leave, short-term and long-term disability</li><li>
10 US observed holidays, and Canadian statutory holidays by province</li><li>
A home office stipend</li><li>
401(k) for US-based employees and RRSP for Canada-based employees</li><li>
Paid parental leave</li><li>
A local in-person meet-up program</li><li>
Hubs in San Francisco and Toronto</li></ul>
Please note the above benefits &amp; perks are for full-time employees
EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Compensation Range: $114.8K - $317.2K</div>

Staff Software Engineer, Platform

VAM SYSTEMS

<div>Job Description 
VAM Systems is currently looking for AI/ML Specialists (Data Scientists/ ML Engineer) (On-Site) for our Bahrain operations with the following skillsets and terms &amp; conditions:
Years of Experience: 7 &ndash; 10 years
Qualification
Bachelor&rsquo;s Degree in Computer Science / Engineering 
Preferably BE Computer Science &amp; Engineering
Professional Training Required: Machine Learning, Deep Learning, MLOps, AI in Financial Services. 
Professional Qualification Required: Google Professional ML Engineer, Microsoft AI Engineer Associate Professional Licenses Required Not applicable. 
Professional Certifications Required: TensorFlow Developer Certificate, AWS Certified Machine Learning.
Must-Have:<ul><li>Proven hands-on delivery experience in banking, financial institutions, or insurance within Gen AI solutions such as chatbots, document analysis, etc., leveraging RAG and robust architecture with proper governance and security measures</li><li>Several years of ML experience with implemented use cases.</li><li>Hands-on work experience most of which in banking, financial institutions, or insurance industries.</li></ul>
Experience required:
Ability to build and deploy ML models using Python and relevant libraries. Understanding of supervised and unsupervised learning algorithms. 
Experience with model evaluation and performance metrics.
Familiarity with AI use cases in banking (e.g., fraud detection, personalization) Knowledge of data preprocessing and feature engineering. 
Ability to work with cloud-based ML platforms (e.g., Azure ML, AWS SageMaker). Understanding of MLOps and model lifecycle management. 
Ability to communicate insights and build explainable AI models. 
Joining time frame: (15 - 30 days)</div>

AI/ML Specialists (Data Scientists/ ML Engineer)

Calsoft

<div>
 
 Job Title: AI/ML Engineer &ndash;
 
 
 GenAI / Agentic AI
 
 
 Experience: 3+ Years
 
 
 Location: Pune / Indore / Bangalore / Kolkata Role
 
 
 Summary
 
 
 We are looking for an experienced AI/ML Engineer &ndash; GenAI / Agentic AI to design, build, and deploy intelligent, autonomous AI systems. The role involves working on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and Agentic AI frameworks to solve real-world enterprise problems. Key Responsibilities
 
 
 &bull; Design, develop, and deploy Generative AI and Agentic AI solutions using LLMs
 
 
 
 
 
 &bull; Build and optimize RAG pipelines with vector databases (FAISS, Pinecone, Weaviate, etc.)
 
 
 &bull; Develop multi-agent systems using frameworks like LangChain, LangGraph, AutoGen, CrewAI
 
 
 &bull; Integrate LLMs with enterprise systems, APIs, tools, and workflows
 
 
 &bull; Fine-tune and prompt-engineer LLMs for domain-specific use cases
 
 
 &bull; Implement evaluation, monitoring, and guardrails for GenAI systems
 
 
 &bull; Collaborate with product, data, and cloud teams for scalable deployment
 
 
 &bull; Ensure performance, cost optimization, security, and compliance
 
 
 Mandatory Skills
 
 
 &bull; Python (Strong proficiency)
 
 
 &bull; AI/ML fundamentals &ndash; NLP, Deep Learning, Transformers
 
 
 &bull; Generative AI &amp; LLMs (OpenAI, Azure OpenAI, Gemini, Anthropic, LLaMA, etc.)
 
 
 &bull; Agentic AI frameworks &ndash; LangChain / LangGraph / AutoGen / CrewAI
 
 
 &bull; RAG architecture and vector databases
 
 
 &bull; Prompt engineering &amp; LLM orchestration
 
 
 &bull; REST APIs, microservices integration Good to Have
 
 
 &bull; Fine-tuning LLMs (LoRA, PEFT)
 
 
 &bull; Experience with MLOps / LLMOps (MLflow, Kubeflow, monitoring tools) &bull; Cloud platforms: AWS / Azure / GCP
 
 
 &bull; Knowledge of Docker, Kubernetes
 
 
 &bull; Experience in enterprise use cases (BFSI, Healthcare, Retail, Telecom) Qualifications
 
 
 &bull; B.E. / B.Tech / M.Tech / MCA in Computer Science, AI, Data Science, or related field
 
 
 &bull; 5+ years of hands-on experience in AI/ML with recent focus on GenAI / Agentic AI Why Join Us
 
 
 &bull; Work on cutting-edge Agentic AI &amp; GenAI platforms
 
 
 &bull; Opportunity to build autonomous, production-grade AI systems
 
 
 &bull; High-impact enterprise projects &bull; Collaborative and innovation-driven environment
 
</div>

Data Scientist

AdmeeSync

Job Title 1 : Machine Learning Engineer (Image Modality)Experience: 2 &ndash; 4 YearsCollaboration Duration: 6 MonthsEngagement Mode: RemoteBudget: 30,000 - 40,000Timezone: IndiaPosition OverviewWe are seeking a highly motivated and experienced Machine Learning Engineer with a strong focus on image modality to design, develop, and deploy advanced machine learning and deep learning solutions for image-based applications. The role involves contributing across the full ML lifecycle, from data preprocessing to production deployment, while collaborating with cross-functional teams.Key Responsibilities- Design, develop, and deploy machine learning and deep learning models for image-based tasks such as classification, object detection, segmentation, super-resolution, and image generation.- Build and maintain robust image preprocessing and data augmentation pipelines for diverse datasets.- Implement and fine-tune vision architectures including CNNs, Vision Transformers, diffusion models, and other state-of-the-art computer vision approaches.- Collaborate closely with data engineers, software developers, product managers, and researchers to define and solve imaging problems.- Analyze model performance using quantitative metrics and visual diagnostics; identify failure modes and optimization opportunities.- Optimize models for performance, scalability, and real-time inference, including techniques like quantization and pruning.- Contribute to production-ready ML pipelines and follow MLOps best practices.- Stay updated with the latest research in computer vision and propose innovative solutions for business-critical use cases.Required Skills &amp; Qualifications- 3+ years of industry experience in Machine Learning / Deep Learning, with a strong focus on image modality.- Solid understanding of computer vision fundamentals, including convolutional networks, feature extraction, and geometric transformations.- Strong proficiency in Python.- Hands-on experience with ML/DL frameworks and libraries:- PyTorch- TensorFlow- OpenCV- scikit-learn- Experience training and fine-tuning models on GPU-based infrastructure.- Strong understanding of model evaluation and cross-validation techniques.- Experience with image quality and evaluation metrics such as IoU, PSNR, and SSIM.- Experience with Docker, version control systems, and deploying ML models in production environments.Preferred / Bonus Skills- Experience with transformer-based vision models such as ViT, DETR, SAM.- Exposure to multi-modal learning (e.g., vision-language models).- Knowledge of synthetic data generation, image annotation tools, and data-centric AI practices.- Experience with edge deployment or embedded/real-time vision systems.- Familiarity with MLOps workflows and CI/CD for ML systems.Technology Stack (Key Skills)- Python- PyTorch, TensorFlow- OpenCV, scikit-learn- CNNs, Vision Transformers (ViT, DETR, SAM)- GPU-based training- Docker &amp; MLOps- Image metrics: IoU, PSNR, SSIMJob Title 2 : Senior ML EngineerExperience: 7+ YearsLocation: RemoteBudget: 60,000 - 80,000Job SummaryWe are looking for a highly skilled Senior Machine Learning Engineer with 7+ years of experience in designing, building, and deploying scalable ML solutions. The ideal candidate will work closely with data scientists, product teams, and engineering stakeholders to translate business requirements into production-grade ML systems.Key ResponsibilitiesDesign, develop, and deploy machine learning models at scale.Build end-to-end ML pipelines including data preprocessing, model training, validation, and deployment.Optimize model performance, scalability, and reliability in production environments.Collaborate with cross-functional teams to integrate ML solutions into products.Work with large datasets and apply advanced statistical and ML techniques.Monitor model performance and implement continuous improvement strategies.Mentor junior engineers and contribute to best practices and ML standards.Required Skills &amp; Qualifications7+ years of experience in Machine Learning / Applied AI.Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).Experience with data processing tools and libraries (Pandas, NumPy, Spark).Strong understanding of supervised and unsupervised learning techniques.Experience deploying ML models using cloud platforms (AWS / Azure / GCP).Knowledge of MLOps, CI/CD pipelines, model versioning, and monitoring.Solid understanding of data structures, algorithms, and system design.Good to HaveExperience with NLP, Computer Vision, or Generative AI.Exposure to Kubernetes, Docker, and microservices architecture.Experience working in remote, distributed teams.Job Type: Contractual / TemporaryPay: ₹30,000.00 - ₹80,000.00 per monthWork Location: Remote

Machine Learning Engineer

The Cigna Group

<div>AI &amp; ML Advisor
Position Overview
Evernorth, a leading Health Services company, is looking for exceptional data engineer in our Data and Analytics organization. In this role, you will actively participate with your development team on initiatives that support Evernorth's strategic goals as well as subject matter experts to understand business logic you will be engineering. As a software engineer, you will help develop an integrated architectural strategy to support next-generation capabilities on an enterprise-wide scale. You will work in an agile environment, delivering user-oriented products.
We are seeking a highly skilled Gen AI/ML Engineer with expertise in embeddings, vector databases, and application development to join our team. The ideal candidate will have a strong background in machine learning, natural language processing, and software development. The Gen AI/ML Engineer will be responsible for designing, implementing, and optimizing AI/ML models or applications, leveraging embeddings and vector databases to build innovative applications.
Responsibilities<ul><li>
Design, develop, and deploy Gen AI/ML applications with a focus on embeddings and vector databases.</li><li>
Implement and optimize machine learning algorithms for various applications, including natural language processing and computer vision.</li><li>
Develop and maintain scalable applications that leverage AI/ML models and vector databases.</li><li>
Collaborate with data scientists, software engineers, and other stakeholders to integrate AI/ML solutions into existing systems.</li><li>
Conduct research and stay current with the latest advancements in AI/ML, embeddings, and vector databases.</li><li>
Optimize the performance and scalability of AI/ML models and applications.</li><li>
Ensure data quality, integrity, and security throughout the AI/ML lifecycle.</li></ul>
Qualifications
Required Skills:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, Machine Learning or a related field.</li><li>
Proven experience as an AI/ML Engineer or similar role, with a focus on embeddings and vector databases.</li><li>
Strong understanding of machine learning principles, algorithms, and frameworks.</li><li>
Proficiency in programming languages such as Python, Java, or C++.</li><li>
Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).</li><li>
Hands-on experience with vector databases (e.g., Faiss, Milvus, Pinecone).</li><li>
Familiarity with natural language processing techniques and tools.</li><li>
Experience in developing and deploying scalable applications.</li><li>
Excellent problem-solving skills and attention to detail.</li><li>
Strong communication and collaboration skills.</li></ul>
Required Experience &amp; Education:<ul><li>
8-12 years of overall IT experience.</li><li>
Proven experience as an AI/ML Engineer or similar role, with a focus on embeddings and vector databases.</li><li>
Strong understanding of machine learning principles, algorithms, and frameworks.</li><li>
Proficiency in programming languages such as Python, Java, or C++.</li><li>
Experience with AI/ML frameworks and libraries.</li><li>
Hands-on experience with vector databases (e.g., Faiss, Milvus).</li><li>
Familiarity with natural language processing techniques and tools.</li><li>
Experience in developing and deploying scalable applications.</li><li>
Excellent problem-solving skills and attention to detail.</li></ul>
About Evernorth Health Services<div><div><div><div><div><div><div>
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.</div></div></div></div></div></div></div></div>

HIH - Machine Learning Advisor

Radar Hire LLC

If you are interested in the role, please apply through our website: http://careers.usjobfinders.com/p/ed1d8b143d39-machine-learning-engineer-remoteAbout the Role:Radar Hire is seeking a skilled and forward-thinking Machine Learning Engineer to design, develop, and deploy scalable ML models and AI-powered solutions for innovative, data-driven companies. This is a hands-on, engineering-focused role where you&rsquo;ll take ownership of the entire ML lifecycle&mdash;from data ingestion and model training to deployment and monitoring.The ideal candidate is fluent in modern ML frameworks, understands real-world application constraints, and is passionate about solving complex problems using predictive modeling, LLMs, or other machine learning methods.Key Responsibilities<ul><li>Design, build, and train machine learning models for classification, regression, clustering, recommendation systems, or generative tasks</li><li>Work closely with data scientists and engineers to prepare and preprocess datasets for modeling</li><li>Implement and optimize training pipelines for experimentation and version control</li><li>Deploy ML models to production using containerization, CI/CD pipelines, and cloud services</li><li>Monitor performance, retrain models as needed, and ensure system stability post-deployment</li><li>Collaborate with product, engineering, and analytics teams to align models with business goals</li><li>Stay up to date with state-of-the-art ML algorithms, tools, and research</li><li>Document model architecture, assumptions, validation metrics, and maintenance plans</li></ul>Required Skills &amp; Qualifications<ul><li>3&ndash;5+ years of hands-on experience in machine learning model development</li><li>Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost</li><li>Strong understanding of supervised and unsupervised learning techniques</li><li>Experience with data preprocessing, feature engineering, and model evaluation</li><li>Solid grasp of ML system design, model deployment, and MLOps best practices</li><li>Familiarity with Docker, Kubernetes, and cloud services (AWS, GCP, or Azure)</li><li>Comfortable working with structured and unstructured data</li><li>Strong collaboration and communication skills in cross-functional, remote environments</li></ul>Nice to Have<ul><li>Experience with LLMs (Large Language Models), embeddings, or vector search integration</li><li>Familiarity with Retrieval-Augmented Generation (RAG) architectures</li><li>Experience using MLflow, Weights &amp; Biases, or similar model tracking tools</li><li>Understanding of privacy and compliance considerations for ML systems (HIPAA, GDPR, etc.)</li><li>Exposure to real-time ML applications (recommendation engines, fraud detection, etc.)</li></ul>Working Hours<ul><li>Full-Time, Monday&ndash;Friday 8 hours per day</li><li>Aligned with U.S. business hours</li></ul>Job Type: Full-timePay: E&pound;66,549.00 - E&pound;137,852.00 per monthApplication Question(s):<ul><li>To be able to proceed please confirm that you applied through our website:</li></ul>https://radarhire.com/job/machine-learning-engineer-remote-id-2116/

Machine Learning Engineer (Remote)

Talentxo

Data Scientist (Product Company) &ndash; MumbaiWe are hiring a Data Scientist for a consumer internet product company in Mumbai. This role focuses on building, deploying, and scaling ML models that directly impact product performance and user outcomes.Required Experience: 2&ndash;5 yearsYou must have:<ul><li>2+ years hands-on experience as a Data Scientist or ML Engineer building ML models end-to-end</li><li>Strong Python with ability to implement classical ML algorithms (regression, trees, boosting, etc.)</li><li>Experience in minimum 2+ use cases among recommendation systems, image data, fraud/risk detection, price modelling, propensity models</li><li>Strong NLP exposure (text gen/classification, embeddings, similarity, user profiling, feature extraction from unstructured text)</li><li>Practical experience productionizing models using APIs / CI/CD / Docker on AWS or GCP</li><li>Product company experience only (not financial domains)</li></ul>What you will work on: Recommendation &amp; ranking, personalization, fraud/risk, pricing models, churn/propensity, A/B test design, monitoring model &amp; data drift.Location: Mumbai, Maharashtra Working Days: 5 days/week Outstation Candidates: Allowed if willing to relocate Max Notice Period: 30 daysJob Type: Full-timePay: ₹2,100,000.00 - ₹2,800,000.00 per yearExperience:<ul><li>Data Scientist or ML Engineer: 2 years (Required)</li></ul>Work Location: In person

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