1668 Mlflow Jobs - Page 26

The ML Engineer will be responsible for the design, development, training, and deployment of machine learning models. This role ensures that AI capabilities are production-grade, robust, and well-integrated with the company’s software stack. What You’ll Be Doing Design, build, and train machine learning models using production-grade frameworks Translate AI product requirements into scalable model architectures Package models as APIs/microservices for product integration Build CI/CD pipelines for automated model training and release Evaluate model performance and handle versioning What We’d Love To See Languages: Python, SQL Frameworks: PyTorch, TensorFlow, Hugging Face Transformers 3–6 years of hands-on experience in applied machine learning and deploying models into production. It’d Be Great If You Had Tools: MLflow, Docker, FastAPI, GitHub Actions Deployment platforms: GCP Vertex AI, AWS SageMaker

CSQ326R37 Mission The Machine Learning (ML) Practice team is a highly specialized, collaborative customer-facing ML team at Databricks. We deliver professional services engagements to help our customers build, scale, and productionize the most cutting-edge ML and GenAI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We are investing heavily in continuing to grow our global team, and looking for a world-class Manager to lead our ML Practice in India. You will report directly to our Global Delivery Center (GDC) Leader and dotted line to our ML Professional Services Global Leader. This role can be remote, with a preference for candidates located in Bangalore. The Impact You Will Have Manage hiring, onboarding, and growing the ML Practice team in India, roughly doubling the team size by the end of the year. Develop relationships with key customers and partners, scope customer engagements, and manage escalations Align with Professional Services and Sales leaders both in the Global Delivery Center and globally Collaborate cross-functionally with the R&D team to define priorities and influence the product roadmap Lead strategic PS initiatives, practice development, and processes Own OKRs for revenue and utilization, with a focus on driving Databricks consumption Lead Databricks cultural values by example and champion Databricks brand What We Look For 3+ years experience managing, hiring, and building a team of motivated data scientists/ML engineers, including establishing programs and processes Deep hands-on technical understanding of data science, ML, GenAI and the latest trends While managers do not deliver customer engagements directly, we expect that individuals are able to get hands-on in the Databricks product to demo to customers, dogfood product features to provide input to R&D, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Passion for collaboration, life-long learning, and driving business value through ML Company first focus and collaborative individuals - we work better when we work together Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience [Preferred] Experience working with Databricks and Apache Spark [Preferred] Experience working in a customer-facing role About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

CSQ326R28 The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines into production. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. This role can be remote. The Impact You Will Have Develop LLM solutions on customer data, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation Help customers solve tough problems across industries like Health and Life Sciences, Finance, Retail, Startups, and many others Build, scale, and optimize customer data science workloads across industries and apply best-in-class MLOps to productionize these workloads Advise data teams on data science architecture, tooling, and best practices Provide thought leadership by presenting at conferences such as Data+AI Summit and mentoring the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap What We Look For Experience in building Generative AI applications, including RAG, agents, Text2SQL, fine-tuning, and deploying LLMs, using tools such as HuggingFace, Langchain, and OpenAI 4 to 8 years of hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, MLflow, scikit-learn, and PyTorch Experience in building production-grade ML or GenAI deployments on AWS, Azure, or GCP. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience in communicating and teaching technical concepts to both non-technical and technical audiences Passion for collaboration, life-long learning, and driving business value through ML [Preferred] Experience working with Databricks and Apache Spark™ About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Hiring: Senior Data Scientist | Machine Learning Engineer (MLE) Location : Mohali / Pune Experience : 4+ Years Salary : ₹25 LPA – ₹30 LPA Apply at : info@fitb.in Required Skill Sets Expertise in ML/DL , model lifecycle management, and MLOps tools (MLflow, Kubeflow) Proficiency in Python , TensorFlow , PyTorch , Scikit-learn , and Hugging Face Strong background in NLP , including fine-tuning transformer models Hands-on experience with AWS , GCP , or Azure , and deployment tools like SageMaker , Vertex AI Knowledge of Docker , Kubernetes , and CI/CD pipelines Familiarity with distributed computing (Spark, Ray) and vector databases (FAISS, Milvus) Experience with model optimization (quantization, pruning), hyperparameter tuning , and drift detection Roles & Responsibilities Build and maintain end-to-end ML pipelines from data ingestion to deployment Develop, fine-tune, and scale ML models for real-world applications Evaluate models using metrics like F1-score , AUC-ROC , BLEU , etc. Automate retraining, monitoring , and drift detection processes Collaborate with cross-functional teams for seamless ML integration Mentor junior team members and enforce best practices Perks & Benefits Food allowance provided Cab facility available Night shift allowance (NCA) Graduates only may apply 5-day working If you meet the above criteria and are passionate about building impactful ML systems, send your resume to info@fitb.in Job Types: Full-time, Permanent, Fresher Pay: ₹2,500,000.00 - ₹3,000,000.00 per year Benefits: Flexible schedule Food provided Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Evening shift Fixed shift Monday to Friday Night shift Rotational shift US shift Supplemental Pay: Performance bonus Shift allowance Yearly bonus Work Location: In person

AI/ML Developer – Retail & F&B AI Solutions Location: Chennai, Tamil Nadu About Us Uth Software and Software Recharge is a rapidly evolving tech company developing cutting-edge AI-powered solutions , modern ERP systems , and billing software tailored for the Retail and Food & Beverage (F&B) sectors. Our mission is to empower businesses through automation, data intelligence, and smart decision-making using Artificial Intelligence and Machine Learning. We are now expanding our AI/ML team and looking for talented developers to contribute to the next generation of business automation tools. Job Description We are seeking AI/ML Developers (6 months to 2 years of experience) who are passionate about building intelligent systems that solve real business challenges. You will work with our product and engineering teams to design, develop, and deploy AI/ML models and solutions integrated into our business software, including image and video-based AI applications . Key Responsibilities Develop and implement machine learning models for forecasting, customer behavior analysis, inventory optimization, etc. Work on image recognition , object detection , and video analytics using real-world datasets Handle data preprocessing , feature engineering, model training, validation, and performance tuning Collaborate with software developers to integrate ML and computer vision solutions into existing applications Assist in building AI-powered modules like chatbots, recommendation engines, predictive dashboards , and video-based intelligence tools Stay up-to-date with the latest AI/ML trends, technologies, and best practices Document your code, models, and logic for internal teams Requirements 6 months to 2 years of hands-on experience in AI/ML development Strong proficiency in Python and libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch , etc. Working knowledge of computer vision libraries like OpenCV, YOLO (You Only Look Once) or MediaPipe is a plus Good understanding of object detection , image classification , and frame-by-frame video analysis Good understanding of machine learning algorithms , model evaluation metrics , and data wrangling Experience with real-time or batch data processing and model deployment is a plus Familiarity with SQL, APIs , and version control (Git) Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field Strong problem-solving mindset and ability to work independently or in small teams Preferred Skills (Good to Have) Experience with LLMs , Generative AI , or NLP Exposure to video processing , gesture recognition , or frame-by-frame analysis Experience with MLOps tools (MLflow, Docker, etc.) Knowledge of business domains like retail, restaurant, or ERP systems What We Offer Competitive monthly salary based on experience (₹25,000 to ₹45,000/month) Opportunity to work on real-world AI use cases in retail and F&B Access to modern tools, datasets, and resources to support R&D Clear career growth path with promotion and upskilling opportunities Certificate of Experience How to Apply Send your updated resume to asokraaja@uthsoftware.com with the subject line: “_ Application – AI/ML Developer (6M–2Y) _” . For more information, call us at: +91-8428981111 Shortlisted candidates will be contacted for a direct interview. Join us and build the future of intelligent business software powered by AI. Job Type: Full-time Pay: ₹25,000.00 - ₹45,000.00 per month Schedule: Day shift Work Location: In person

Your Role The ML Engineer will be responsible for the design, development, training, and deployment of machine learning models. This role ensures that AI capabilities are production-grade, robust, and well-integrated with the company’s software stack. What You’ll Be Doing Design, build, and train machine learning models using production-grade frameworks Translate AI product requirements into scalable model architectures Package models as APIs/microservices for product integration Build CI/CD pipelines for automated model training and release Evaluate model performance and handle versioning What We’d Love To See Languages: Python, SQL Frameworks: PyTorch, TensorFlow, Hugging Face Transformers 3–6 years of hands-on experience in applied machine learning and deploying models into production It’d Be Great If You Had Tools: MLflow, Docker, FastAPI, GitHub Actions Deployment platforms: GCP Vertex AI, AWS SageMaker What You Can Expect Opportunity to work with a diverse and well-experienced team. To be part of the team who creates phenomenal growth stories for worlds renowned brands. Professional Growth Roadmap. Real-time mentorship and guidance from the leaders. A workplace that invests in your career, cares for you and is fun & engaging. You can be yourself and do amazing work. Benefits Interested in joining our team of artists, geeks, strategizers, and writers? If you’re a passionate, talented individual, we want to hear from you. Competitive salary Flexible work-life balance with a 5-day working Policy Paid time off Learning & Development bonus Health coverage Rewards & Recognitions Event & Festivals celebrations Ongoing training programs Onsite opportunities Recognition opportunities for open-source contributions

📍 Location: India / Remote (WFH) 🕒 Schedule: Mon–Fri, 10 AM–6 PM 📅 Type: Full-Time 💼 Experience: 3–5 Years About the Role We’re hiring a Senior AI/ML Engineer to lead the design, development, and deployment of scalable AI solutions—including Generative AI, LLMs, and sustainability-driven ML systems . This is a high-impact, hands-on role where you’ll collaborate cross-functionally, own the end-to-end ML lifecycle, and build products that deliver real-world business value across industries like FinTech, HealthTech, and more. Company Description SynerPeak HR Consultants specializes in connecting exceptional talent with forward-thinking companies. They help organizations scale by delivering top-tier professionals who align with their culture, values, and goals. With expertise in various industries, SynerPeak offers end-to-end recruitment solutions, executive search, talent mapping, employer branding consultation, and contract-based hiring. What You'll Bring Strong command of Python, SQL , and ML frameworks: scikit-learn, TensorFlow, PyTorch Experience with ML pipelines (Airflow, MLflow, Kubeflow) and cloud platforms (AWS/GCP/Azure) Skilled in model deployment , MLOps , containerization (Docker, Kubernetes), CI/CD Familiar with deep learning , LLMs , RAG , and Agentic AI frameworks (LangChain, OpenAI API) Key Responsibilities ML & GenAI Engineering Build and deploy models for NLP, recommendation, classification, etc. Fine-tune LLMs and implement RAG-based multi-agent GenAI systems Manage full ML lifecycle: deployment, monitoring, optimisation, drift detection Handle data preprocessing, feature engineering, and model evaluation Work with cross-functional teams and contribute to product decisions Convert business goals into AI-driven technical solutions Stay ahead in AI/ML research and rapidly apply new techniques You’re a Great Fit If You... Take initiative and own your decisions Know when not to use GenAI Can clearly explain trade-offs to engineers & business stakeholders Why Join Us? Flexibility & Time Off Flexible hours Paid leave (sick, personal, bereavement) Fully paid insurance 6 months maternity & 3 months paternity leave Extras Team events (virtual + in-person) Equity options & competitive salary What You'll Work On 50% : Building robust, production-grade AI systems 25% : Prototyping and researching innovative ML/GenAI ideas 25% : Collaborating with stakeholders to solve real-world business challenges Ready to lead real-world AI innovation? Apply now and be part of something transformative. Please send your updated Resume and cover letter to hr@synerpeak.com

Senior Applied Scientist Noida, Uttar Pradesh, India Date posted Jul 03, 2025 Job number 1833716 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview We are part of Web Experiences and Services Team (WEST) within the Office Online Product Group, focused on building AI Ops solutions for Online Microsoft Word, Excel, PowerPoint, OneNote, and their shared services. Our mission is to leverage AI and ML to enhance live site management, automate incident resolution, accelerate root cause analysis and prevent incidents proactively. We are focussing on anomaly detection, predictive analytics, and error log analysis to enable more scalable and generalized solutions, driving reliability and efficiency across Office Online applications. We are looking for a Senior Applied Scientist who is passionate about applying AI and ML to incident management and site reliability. You will work as part of a multidisciplinary team, collaborating with engineers, data scientists, and domain experts to develop state-of-the-art solutions that will transform how Office Online handles site reliability and incident prevention. At Microsoft, we are committed to diversity, inclusion, and innovation, ensuring that we build great workplaces and great products. Microsoft’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. Qualifications Required Qualifications: 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) OR Master'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) OR equivalent experience. Excellent coding and debugging skills with deep understanding of ML\AI algorithms and data science problems. Experience with ML techniques such as deep learning, predictive modelling, time series data analysis Excellent communication skills, including the ability to translate complex AI concepts into actionable insights for product teams Preferred Qualifications: Passion for new technologies, learning and adapting quickly, end user quality and customer satisfaction. Understanding of AI-driven operations, site reliability engineering (SRE), and production ML systems. Expertise in AI Ops, anomaly detection, error log analysis and incident management solutions. Awareness and understanding of emerging research and technologies related to live site and incident management like Agentic workflows for site reliability management. Effective verbal, visual and written communication skills. Responsibilities Collaborate with engineers, product teams, and partners to drive innovation in AI-powered site reliability. Develop and implement AI-driven scalable solutions for incident management and prevention, incident root cause analysis across Office Online applications. Build AI\ML powered solutions like anomaly detection, predictive analytics, and error log analysis etc. for faster mitigation and prevention of incidents. Ensure end-to-end integration of ML\AI powered solutions in production, including deployment, monitoring, and refinement, leveraging cloud-based machine learning platforms (e.g., AWS SageMaker, Azure ML Service, Databricks) and MLOps tools (MLflow, Tecton, Pinecone, Feature Stores) Prototype new approaches in ML\AI, SLM, AI Agents, Agentic workflows etc. to design, run, and analyze experiments for incident detection, mitigation and resolution. Fundamentals: champion and set example in customer obsession, data security, performance, observability and reliability. Optimize AI pipelines, automate responses to incidents, and create a feedback loop for continuous improvement. Stay ahead of emerging trends in AI/ML. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Senior Executive EXL/SE/1407664 Digital SolutionsNoida Posted On 30 Jun 2025 End Date 14 Aug 2025 Required Experience 0 - 2 Years Basic Section Number Of Positions 2 Band A2 Band Name Senior Executive Cost Code D012603 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 150000.0000 - 1000000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group EXL Digital Sub Group Digital Solutions Organization Digital Solutions LOB Digital Solutions SBU SmartAudit.AI & Data Loops Country India City Noida Center Noida - Centre 59 Skills Skill SQL STAKEHOLDER MANAGEMENT Minimum Qualification B.TECH/B.E Certification No data available Job Description Job Title: AI Operations Engineer – GenAI & Traditional Models Location: NCR/Bangalore Experience Level: 1–2 years (Entry to Intermediate) About the Role: We are seeking a hands-on, curious, and impact-driven AI Operations Engineer to join our Run & Maintain team for supporting production-grade Generative AI and Traditional ML models. This role is perfect for early-career Data Scientists or ML Engineers eager to step into the dynamic world of GenAI while deepening their skills in AI model lifecycle management, monitoring, and improvement. You’ll be on the frontlines—keeping AI systems healthy, reliable, and continually improving. Key Responsibilities: Monitor and maintain health of production AI models (GenAI and traditional ML). Troubleshoot data/model/infra issues across model pipelines, APIs, embeddings, and prompt systems. Collaborate with Engineering and Data Science teams to deploy new versions and manage rollback if needed. Implement automated logging, alerting, and retraining pipelines. Handle prompt performance drift, input/output anomalies, latency issues, and quality regressions. Analyze feedback and real-world performance to propose model or prompt enhancements. Conduct A/B testing, manage baseline versioning and monitor model outputs over time. Document runbooks, RCA reports, model lineage and operational dashboards. Support GenAI adoption by assisting in evaluations, hallucination detection, and prompt optimization. Must-have Skills: 1+ year of experience in Data Science, ML, or MLOps. Good grasp of ML lifecycle, model versioning, and basic monitoring principles. Strong Python skills with exposure to ML frameworks (scikit-learn, pandas, etc.). Basic familiarity with LLMs and interest in GenAI (OpenAI, Claude, etc.). Exposure to AWS/GCP/Azure or any MLOps tooling. Comfortable reading logs, parsing metrics, and triaging issues across the stack. Eagerness to work in a production support environment with proactive ownership. Nice-to-Have Skills: Prompt engineering knowledge (system prompts, temperature, tokens, etc.). Hands-on with vector stores, embedding models, or LangChain/LlamaIndex. Experience with tools like MLflow, Prometheus, Grafana, Datadog, or equivalent. Basic understanding of retrieval pipelines or RAG architectures. Familiarity with CI/CD and containerization (Docker, GitHub Actions). Ideal Candidate Profile: A strong starter who wants to go beyond notebooks and see AI in action. Obsessed with observability, explainability, and zero-downtime AI. Wants to build a foundation in GenAI while leveraging their traditional ML skills. A great communicator who enjoys cross-functional collaboration. Workflow Workflow Type Digital Solution Center

Position: Sr. and Mid. Python Developer – AI/ML Experience : 5+ years in Python, 3+ years in AI/ML Location: Sector V ,Salt lake , Kolkata Joining Timeline: Immediate to 30 Days Key Responsibilities: Design and deploy machine learning models using Python Develop AI-powered features and APIs with frameworks like FastAPI/Flask Conduct EDA, feature engineering, and model optimization Handle data pipelines, model deployment, and monitoring Collaborate with product and engineering teams to deliver scalable solutions Core Skillset: Python (Expert) : OOP, APIs, async programming AI/ML : Scikit-learn, XGBoost, NLP, Computer Vision Deep Learning : PyTorch, TensorFlow, Keras Data Engineering : Pandas, SQL/NoSQL, ETL pipelines DevOps/MLOps : Docker, Kubernetes, MLFlow, CI/CD Bonus : Hands-on with Zapier , Make.com , or other automation platforms Interested Candidate can apply at hr18@webskitters.com / 7908290216 (Only WhatsApp)

Senior Data and Applied Scientist - Advertising Join Pattern's innovative Data Science team as a Senior Data and Applied Scientist, where you'll leverage your expertise to optimize advertising spend on ecommerce platforms. Pattern is a leading ecommerce company that helps brands grow their business on platforms like Amazon. What Youll Do : Design, build, and maintain machine learning and statistical models to optimize advertising campaigns, enhancing search visibility and conversion rates on ecommerce platforms. Continuously improve the quality of our machine learning models, focusing on key metrics like search ranking, keyword bidding, CTR, and conversion rate estimation. Conduct research to integrate new data sources, innovate in feature engineering, fine-tune algorithms, and enhance data pipelines for robust model performance. Analyze large datasets to extract actionable insights that guide advertising decisions. Collaborate closely with teams across different regions (US and India) to ensure seamless collaboration and knowledge sharing. Dedicate 20% of your time to MLOps for efficient, reliable model deployment and operations. What Were Looking For: Bachelor’s or Master’s in Data Science, Computer Science, Statistics, or a related field. 3-6 years of industry experience in building and deploying machine learning solutions. Strong data manipulation and programming skills in Python and SQL, with hands-on experience using libraries such as Pandas, Numpy, Scikit-Learn, and XGBoost. Strong problem-solving skills and the ability to analyze complex data. In-depth expertise in a range of machine learning and statistical techniques, such as linear and tree-based models, along with an understanding of model evaluation metrics. Experience with Git, AWS, Docker, and MLFlow is advantageous. Additional Pluses: Portfolio: An active Kaggle or GitHub profile showcasing relevant projects. Domain Knowledge: Familiarity with advertising and ecommerce concepts, which would help in tailoring models to business needs. Explore more about Pattern and our innovative approach to ecommerce here.

About Us Founded in 2007, Biz2Credit is rated as the Number 1 small business financing resource in the U.S. by Entrepreneur Magazine. Till date, we've facilitated more than $2.5+ billion in small business lending. Biz2Credit, an all - in - one financing solution for entrepreneurs to get a small business loan with fast approval process. Explore the best small business financing options with us! Biz2Credit offers an innovative way for lenders and small business borrowers to connect through our online credit marketplace. Our robust network includes more than 1,200 lenders and tens of thousands of small businesses who connect to the network through partnerships with Paychex, Start - up America, CPA's, business brokers and other referral partners. Biz2X is the technology platform that has helped Biz2Credit become the premier alternative lender for small businesses. Now, traditional banks are leveraging our expertise and experience to automate small business lending. Biz2X allows banks to implement AI - powered digital banking. This allows banks clients to have a fully omnichannel experience with data and workflows that adapt seamlessly to the banks core banking systems. Biz2X platforms world - class risk solutions are based on AI algorithms that enables auto decision - making and quick processing. Biz2X is One Platform That Does It All - automates lending, optimizes risk management, and improves operational efficiency. Learn More : www.biz2credit.com & www.biz2x.com Read About Us https://www.globenewswire.com/en/news - release/2023/04/25/2653660/0/en/Financial - Times - Names - Biz2Credit - and - Biz2X - to - its - Americas - Fastest - Growing - Companies - of - 2023 - List.html https://inc42.com/buzz/biz2credit - announces - esops - worth - 12 - 25 - mn - for - 500 - indian - employees/ About The Role This is a rare opportunity to join a fast - growing team, where you will play a major role in shaping Biz2Credit's future. We're looking for an exceptional candidate that is excited about the opportunity to build a next - generation financial services business. We believe th at there is a tremendous opportunity to leverage cutting - edge data science to inform smarter, faster decision making. As a Biz2 x Data Scientist, you will shape the company's data - centric culture, work closely with our engineering team to develop our analytics infrastructure, and collaborate closely with our Chief Risk Officer on developing, validating, and automating our customer conversion and underwriting models. While a background in financial services is not required, you must be passionate about tackling complex data challenges for the benefit of small and medium businesses everywhere. Job Responsibility: - Drive the ongoing advancement and refinement of Biz2Credit's credit decisioning & pricing model - optimizing risk and return while dramatically reducing decision cycle times. Continuously evaluate alternative data sources and structures to document and improve the efficacy of our customer conversion models and processes. Harness the power of Biz2Credit's technology to proactively identify emerging risks as well as opportunities with our customers. Play a key role in the design and implementation of ongoing operational and risk reporting and analytics. Work on data projects and proposals involving Biz2Credit's financial services partners worldwide (banks, non - banks, debt investors, equity investors and others) to analyze , classify and visualize credit - related data Perform ad hoc analys e s on customer, business, and portfolio trends to generate actionable insights for internal and external stakeholders Manage multiple projects and priorities while delivering accurate & timely results in a fast - paced environment Requirements Degree in Statistics, Applied Mathematics, Engineering, Computer Science or other quantitative fields from leading university; Advanced degree preferred 4 - 6 years of experience in applied data science or machine learning roles. Hands - on experience with LLMs and GenAI applications . Expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit - learn . Strong experience in deep learning , NLP , and generative models (e.g., VAEs, GANs, Diffusion models) . Experience with prompt engineering , fine - tuning , RAG (Retrieval - Augmented Generation) , or model distillation . Proficiency in SQL, data wrangling, and working with large datasets. Familiarity with MLOps tools (e.g., MLflow, Airflow, Kubeflow) and cloud platforms (AWS/GCP/Azure). Preferred Qualifications Published work in ML/AI journals or major conferences (NeurIPS, ICML, ACL, CVPR, etc.). Experience building and deploying LLM - powered applications in production. Background in reinforcement learning , time series forecasting , or causal inference . Understanding data privacy, model fairness, and ethical AI considerations.

Description Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges. We are building a community of top-tier experts and we're opening the doors to an exclusive group of exceptional Data & AI Professionals ready to solve real-world problems and shape the future of intelligent systems. Structured Onboarding Process We ensure every member is aligned and empowered: Screening - We review your experience in Data & AI, ML engineering, and solution delivery Technical Discussion - Join a short problem-solving or use-case session Alignment Call - We explore how your skills align with ongoing projects and innovation tracks Requirements Who We're Looking For We're seeking senior Data & AI professionals (6+ years) who are excited to build, mentor, and lead in the evolving world of intelligent systems. At Xenon7, you won't just contribute—you'll help define what's next. You'll design and scale real-world AI/ML platforms, guide innovation sprints, mentor emerging talent, and co-create tools that solve complex data challenges across industries. Whether it's advising on enterprise AI strategy, leading technical roundtables, or contributing to open-source accelerators, your work will drive tangible impact. If you're driven by curiosity and eager to influence how AI shapes the future, this is your platform. Ideal candidates will have: Expertise in ML pipelines, AI integration, and data engineering Hands-on experience with cloud platforms like AWS, Azure, or GCP Familiarity with tools such as MLflow, Spark, orchestration frameworks, and lakehouse architectures A track record of innovation in domains like healthcare, telecom, or finance A collaborative mindset and eagerness to share knowledge Benefits Why You Should Join Us At Xenon7, we're not just building AI systems—we're building a community of talent with the mindset to lead, collaborate, and innovate together. Collaborative Environment: Our culture thrives on openness, continuous learning, and engineering excellence. You'll work alongside seasoned practitioners who value smart execution and shared growth Flexible & Impact-Driven Work: Whether you're contributing from a client project, innovation sprint, or open-source initiative, we focus on outcomes—not hours. Autonomy, ownership, and curiosity are encouraged here Structured but Agile Process: Our workflows strike a balance between process and agility. With lean onboarding, technical alignment, and impact-led engagement models, we make room for deep work while enabling fast, thoughtful collaboration Talent-Led Innovation: We believe communities are strongest when built around real practitioners. Our Innovation Community isn't just a knowledge-sharing forum—it's a launchpad for members to lead new projects, co-develop tools, and shape the direction of AI itself Ecosystem of Opportunity: You'll be part of a growing network where client engagements, thought leadership, research collaborations, and mentorship paths are interconnected. Whether you're building solutions or nurturing the next generation of talent, this is a place to scale your influence

Licious is a fast-paced, innovative D2C brand revolutionizing the meat and seafood industry in India. We leverage cutting-edge technology, data science, and customer insights to deliver unmatched quality, convenience, and personalization. Join us to solve complex problems at scale and drive data-driven decision-making! Role Overview: We are seeking a Senior Data Scientist with 6+ years of experience to build and deploy advanced ML models (LLMs, Recommendation Systems, Demand Forecasting) and generate actionable insights. You will collaborate with cross-functional teams (Product, Supply Chain, Marketing) to optimize customer experience, demand prediction, and business growth. Key Responsibilities: 1. Machine Learning & AI Solutions: Develop and deploy Large Language Models (LLMs) for customer support automation, personalized content generation, and sentiment analysis. Enhance Recommendation Systems (collaborative filtering, NLP-based, reinforcement learning) to drive engagement and conversions. Build scalable Demand Forecasting models (time series, causal inference) to optimize inventory and supply chain. 2. Data-Driven Insights: Analyze customer behavior, transactional data, and market trends to uncover growth opportunities. Create dashboards and reports (using Tableau/Power BI) to communicate insights to stakeholders. 3. Cross-Functional Collaboration: Partner with Engineering to productionize models (MLOps, APIs, A/B testing). Work with Marketing to design hyper-personalized campaigns using CLV, churn prediction, and segmentation. 4. Innovation & Scalability: Stay updated with advancements in GenAI, causal ML, and optimization techniques. Improve model performance through feature engineering, ensemble methods, and experimentation. Qualifications: Education: BTech/MTech/MS/Ph.D. in Computer Science, Statistics, or related fields. Experience: 6+ years in Data Science, with hands-on expertise in: LLMs (GPT, BERT, fine-tuning, prompt engineering). Recommendation Systems (matrix factorization, neural CF, graph-based). Demand Forecasting (ARIMA, Prophet, LSTM, Bayesian methods). Python/R , SQL, PySpark, and ML frameworks (TensorFlow, PyTorch, scikit-learn). Cloud platforms (AWS/GCP) and MLOps tools (MLflow, Kubeflow).

AI/ML Developer – Retail & F&B AI Solutions Location: Chennai, Tamil Nadu About Us Uth Software and Software Recharge is a rapidly evolving tech company developing cutting-edge AI-powered solutions , modern ERP systems , and billing software tailored for the Retail and Food & Beverage (F&B) sectors. Our mission is to empower businesses through automation, data intelligence, and smart decision-making using Artificial Intelligence and Machine Learning. We are now expanding our AI/ML team and looking for talented developers to contribute to the next generation of business automation tools. Job Description We are seeking AI/ML Developers (6 months to 2 years of experience) who are passionate about building intelligent systems that solve real business challenges. You will work with our product and engineering teams to design, develop, and deploy AI/ML models and solutions integrated into our business software, including image and video-based AI applications . Key Responsibilities Develop and implement machine learning models for forecasting, customer behavior analysis, inventory optimization, etc. Work on image recognition , object detection , and video analytics using real-world datasets Handle data preprocessing , feature engineering, model training, validation, and performance tuning Collaborate with software developers to integrate ML and computer vision solutions into existing applications Assist in building AI-powered modules like chatbots, recommendation engines, predictive dashboards , and video-based intelligence tools Stay up-to-date with the latest AI/ML trends, technologies, and best practices Document your code, models, and logic for internal teams Requirements 6 months to 2 years of hands-on experience in AI/ML development Strong proficiency in Python and libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch , etc. Working knowledge of computer vision libraries like OpenCV, YOLO (You Only Look Once) or MediaPipe is a plus Good understanding of object detection , image classification , and frame-by-frame video analysis Good understanding of machine learning algorithms , model evaluation metrics , and data wrangling Experience with real-time or batch data processing and model deployment is a plus Familiarity with SQL, APIs , and version control (Git) Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field Strong problem-solving mindset and ability to work independently or in small teams Preferred Skills (Good to Have) Experience with LLMs , Generative AI , or NLP Exposure to video processing , gesture recognition , or frame-by-frame analysis Experience with MLOps tools (MLflow, Docker, etc.) Knowledge of business domains like retail, restaurant, or ERP systems What We Offer Competitive monthly salary based on experience (₹25,000 to ₹45,000/month) Opportunity to work on real-world AI use cases in retail and F&B Access to modern tools, datasets, and resources to support R&D Clear career growth path with promotion and upskilling opportunities Certificate of Experience How to Apply Send your updated resume to asokraaja@uthsoftware.com with the subject line: “_ Application – AI/ML Developer (6M–2Y) _” . For more information, call us at: +91-8428981111 Shortlisted candidates will be contacted for a direct interview. Join us and build the future of intelligent business software powered by AI. Job Type: Full-time Pay: ₹25,000.00 - ₹45,000.00 per month Schedule: Day shift Work Location: In person

Senior Applied Scientist Noida, Uttar Pradesh, India Date posted Jul 03, 2025 Job number 1833716 Work site Microsoft on-site only Travel 0-25 % Role type Individual Contributor Profession Research, Applied, & Data Sciences Discipline Applied Sciences Employment type Full-Time Overview We are part of Web Experiences and Services Team (WEST) within the Office Online Product Group, focused on building AI Ops solutions for Online Microsoft Word, Excel, PowerPoint, OneNote, and their shared services. Our mission is to leverage AI and ML to enhance live site management, automate incident resolution, accelerate root cause analysis and prevent incidents proactively. We are focussing on anomaly detection, predictive analytics, and error log analysis to enable more scalable and generalized solutions, driving reliability and efficiency across Office Online applications. We are looking for a Senior Applied Scientist who is passionate about applying AI and ML to incident management and site reliability. You will work as part of a multidisciplinary team, collaborating with engineers, data scientists, and domain experts to develop state-of-the-art solutions that will transform how Office Online handles site reliability and incident prevention. At Microsoft, we are committed to diversity, inclusion, and innovation, ensuring that we build great workplaces and great products. Microsoft’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. Qualifications Required Qualifications: 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) OR Master'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) OR equivalent experience. Excellent coding and debugging skills with deep understanding of ML\AI algorithms and data science problems. Experience with ML techniques such as deep learning, predictive modelling, time series data analysis Excellent communication skills, including the ability to translate complex AI concepts into actionable insights for product teams Preferred Qualifications: Passion for new technologies, learning and adapting quickly, end user quality and customer satisfaction. Understanding of AI-driven operations, site reliability engineering (SRE), and production ML systems. Expertise in AI Ops, anomaly detection, error log analysis and incident management solutions. Awareness and understanding of emerging research and technologies related to live site and incident management like Agentic workflows for site reliability management. Effective verbal, visual and written communication skills. Responsibilities Collaborate with engineers, product teams, and partners to drive innovation in AI-powered site reliability. Develop and implement AI-driven scalable solutions for incident management and prevention, incident root cause analysis across Office Online applications. Build AI\ML powered solutions like anomaly detection, predictive analytics, and error log analysis etc. for faster mitigation and prevention of incidents. Ensure end-to-end integration of ML\AI powered solutions in production, including deployment, monitoring, and refinement, leveraging cloud-based machine learning platforms (e.g., AWS SageMaker, Azure ML Service, Databricks) and MLOps tools (MLflow, Tecton, Pinecone, Feature Stores) Prototype new approaches in ML\AI, SLM, AI Agents, Agentic workflows etc. to design, run, and analyze experiments for incident detection, mitigation and resolution. Fundamentals: champion and set example in customer obsession, data security, performance, observability and reliability. Optimize AI pipelines, automate responses to incidents, and create a feedback loop for continuous improvement. Stay ahead of emerging trends in AI/ML. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Key Responsibilities: 1. Machine Learning Development Design, build, and evaluate supervised and unsupervised ML models (e.g., regression, classification, clustering, recommendation systems). Perform feature engineering, model tuning, and validation using cross-validation and performance metrics. 2. Data Preparation & Analysis Clean, preprocess, and transform large datasets from various sources. Conduct exploratory data analysis (EDA) to uncover patterns and insights. 3. Model Deployment & Monitoring Deploy ML models into production using tools like Flask, FastAPI, or cloud-native services. Monitor model performance and retrain/update models as needed. 4. Collaboration & Communication Work closely with data engineers, product managers, and business stakeholders to understand requirements and deliver impactful solutions. Present findings and model outcomes in a clear, actionable manner. 5. Tools & Technologies Use Python and libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch. Leverage version control (Git), Jupyter notebooks, and ML lifecycle tools (MLflow, DVC). Preferred Qualifications: Bachelor’s or master’s degree in computer science, Data Science, Statistics, or a related field. 2–3 years of experience in building and deploying ML models. Strong programming skills in Python; familiarity with SQL. Solid understanding of ML concepts, model evaluation, and statistical techniques. Exposure to cloud platforms (AWS, GCP, or Azure) and MLOps practices is a plus. Excellent problem-solving and communication skills.

Key Responsibilities Lead the design, development, and implementation of enterprise-scale AI/ML solutions optimized for real-world applications. Collaborate with cross-functional teams to identify business requirements and translate them into robust AI/ML strategies. Develop and optimize generative AI solutions using tools and frameworks such as LangChain, LangSmith, LlamaIndex, MCP, Semantic Kernel, Autogen, and Agents. Utilize Python along with frameworks such as PyTorch and TensorFlow to build sophisticated machine learning models and algorithms. Conduct analysis of data and identify trends, providing actionable insights to stakeholders. Mentor and guide junior data scientists, promoting a culture of innovation and continuous learning within the team. Engage with clients to communicate project updates, understand their analytical needs, and deliver tailored AI solutions. Apply strong analytical skills to solve complex problems and improve existing models and algorithms. Required Skills & Qualifications Minimum 5 years of experience in developing and implementing AI/ML-powered services and algorithms. Experience with deep learning models for structured/unstructured data. Proven track record of building enterprise-scale AI/ML solutions, demonstrating initiative and strategic thinking. Extensive hands-on experience with generative AI and large language models (LLMs). Proficiency in Python and a strong understanding of ML frameworks such as PyTorch and TensorFlow. Familiarity with cloud ML stacks, including Azure and AWS. Strong analytical and problem-solving skills with the ability to derive insights from complex datasets. Excellent communication skills with demonstrated ability to lead cross-functional teams effectively. Good understanding of ETL processes and working with data pipelines. Model evaluation and validation techniques (cross-validation, hyperparameter tuning). Time Series Analysis and Forecasting. Model deployment and monitoring (e.g., Docker, Kubernetes, MLflow, Airflow). Building reproducible pipelines for training and serving models. Experience in both team leadership and as an individual contributor. Why Join Us Young Team, Thriving Culture Flat-hierarchical, friendly, engineering-oriented, and growth-focused culture. Well-balanced learning and growth opportunities Free health insurance. Office facilities with a game zone, in-office kitchen with affordable lunch service, and free snacks. Sponsorship for certifications/events and library service. Flexible work timing, leaves for life events, WFH, and hybrid options (ref:hirist.tech)

Job Title: AI Operations Engineer – GenAI & Traditional Models Location: NCR/Bangalore Experience Level: 1–2 years (Entry to Intermediate) About The Role We are seeking a hands-on, curious, and impact-driven AI Operations Engineer to join our Run & Maintain team for supporting production-grade Generative AI and Traditional ML models. This role is perfect for early-career Data Scientists or ML Engineers eager to step into the dynamic world of GenAI while deepening their skills in AI model lifecycle management, monitoring, and improvement. You’ll be on the frontlines—keeping AI systems healthy, reliable, and continually improving. Key Responsibilities Monitor and maintain health of production AI models (GenAI and traditional ML). Troubleshoot data/model/infra issues across model pipelines, APIs, embeddings, and prompt systems. Collaborate with Engineering and Data Science teams to deploy new versions and manage rollback if needed. Implement automated logging, alerting, and retraining pipelines. Handle prompt performance drift, input/output anomalies, latency issues, and quality regressions. Analyze feedback and real-world performance to propose model or prompt enhancements. Conduct A/B testing, manage baseline versioning and monitor model outputs over time. Document runbooks, RCA reports, model lineage and operational dashboards. Support GenAI adoption by assisting in evaluations, hallucination detection, and prompt optimization. Must-have Skills 1+ year of experience in Data Science, ML, or MLOps. Good grasp of ML lifecycle, model versioning, and basic monitoring principles. Strong Python skills with exposure to ML frameworks (scikit-learn, pandas, etc.). Basic familiarity with LLMs and interest in GenAI (OpenAI, Claude, etc.). Exposure to AWS/GCP/Azure or any MLOps tooling. Comfortable reading logs, parsing metrics, and triaging issues across the stack. Eagerness to work in a production support environment with proactive ownership. Nice-to-Have Skills Prompt engineering knowledge (system prompts, temperature, tokens, etc.). Hands-on with vector stores, embedding models, or LangChain/LlamaIndex. Experience with tools like MLflow, Prometheus, Grafana, Datadog, or equivalent. Basic understanding of retrieval pipelines or RAG architectures. Familiarity with CI/CD and containerization (Docker, GitHub Actions). Ideal Candidate Profile A strong starter who wants to go beyond notebooks and see AI in action. Obsessed with observability, explainability, and zero-downtime AI. Wants to build a foundation in GenAI while leveraging their traditional ML skills. A great communicator who enjoys cross-functional collaboration.

Designation- Data Science/Machine Learning Instructor BU- Working Professional Location- Mumbai- Andheri (Hybrid) Salary upto- 10LPA- 12LPA Weekoffs - Wednesday & Thursday or Thursday & Friday. Key Responsibilities: Live Instruction: Teach core DS/ML topics (supervised & unsupervised learning, deep learning, model evaluation, MLOps) through interactive sessions. Curriculum Collaboration: Work with content teams to design labs, code walkthroughs, and real-world case studies using Python, scikit-learn, TensorFlow/PyTorch, and cloud-based DS/ML services. Learner Support: Field technical questions, debug code, review notebooks, and provide actionable feedback on assignments and projects. Project Mentorship: Guide capstone work—e.g., image/video models, NLP pipelines, recommendation systems, and deployment pipelines. Continuous Improvement: Analyze learner performance data to refine modules, introduce emerging topics (e.g., transformers, generative models), and enhance assessments. Requirements: 3+ years of industry or academic experience in DS/ML or AI. Minimum Master’s degree in DS or ML &AI or CS specialization in AI & DS/ML Proficiency in Python and ML frameworks (scikit-learn, TensorFlow or PyTorch). Familiarity with MLOps tools (Docker, Kubernetes, MLflow) and cloud ML services (AWS SageMaker, GCP AI Platform, or Azure ML). Excellent presentation and mentoring skills in live and small-group settings. Prior teaching or edtech experience is a strong plus.

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 7.00 + years Salary : INR 555555-740740 / month (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - FC) What do you need for this opportunity? Must have skills required: Communication Skills, Team management, Cloud, Data Engineering, DevOps, LangChain, LLM, MLOps, rag, NLP FC is Looking for: Lead AI/ML Innovation Prototype, productionize, and optimize anomaly-detection, clustering, and forecasting models that surface hidden trends in massive finance datasets. Drive feature-engineering and model-serving pipelines—own everything from Kafka/ETL to Kubernetes deployments. Revolutionize Conversational AI Architect next-gen RAG workflows: semantic search, dynamic prompt-chaining, function calls for charts & tables. Craft LLM interfaces that let finance teams “talk” to their data and get instant, narrative-style answers. Scale & Secure Build distributed microservices for both real-time and batch workloads. Embed encryption, access controls, and audit-ready monitoring at every layer. Embed MLOps Excellence Implement CI/CD pipelines that deploy models automatically on new data and guard against drift. Instrument end-to-end observability (MLflow, Prometheus) to keep SLAs rock-solid. Champion Collaboration Partner with Product, Design, and product engineering to turn ML breakthroughs into polished, user-friendly features. Mentor junior engineers and evangelize best practices across the team. Must-Have Skills Deep ML Expertise: 7+ years building and shipping production ML (PyTorch or TensorFlow) Data Engineering: SQL, ETL frameworks, streaming (Kafka/Kinesis), large-scale data pipelines RAG & NLP: Vector DBs (Pinecone/FAISS), LLM orchestration (LangChain or equivalent) Cloud & DevOps: AWS/GCP/Azure; Docker & Kubernetes; CI/CD & monitoring (MLflow, Seldon, Prometheus) Product Orientation: You think in user journeys, not just models—you know how to build for scale, latency, and security. 0→1 DNA: Thrive with ambiguity, execute without hand-holding, and pivot at startup speed. Nice-to-Haves Open-source contributions in ML or RAG Experience with finance-industry compliance standards (SOC2, ISO27001) Published papers or patents in anomaly detection, forecasting, or conversational AI CS PhD or MS Engagement Model :: Indefinite contract with uplers This is remote role Shift Timings :: 10 AM to 7 PM(IST) How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!