7001 Mlflow Jobs - Page 37

Position Summary The Technical Lead Databricks Lakehouse Migration & Integration will play a pivotal role in enabling our pharmaceutical and life sciences clients to modernize their data platforms. This role involves leading the migration of complex clinical, regulatory, and commercial datasets into the Databricks Lakehouse environment, ensuring compliance with industry standards such as GxP, HIPAA, and GDPR. The incumbent will provide technical leadership, oversee integration strategies, and deliver scalable, secure, and compliant data solutions that support commercial operations, drug development and clinical trials. Job Responsibilities Migration & Integration Lead the migration of legacy...

Location: Visakhapatnam / Remote Employment Type : Full-time Compensation : As per industry standards NOTE: Filling out the form below is mandatory to be considered for the role: https://forms.gle/AL21dSCXQeBFwFSG8 About the Role We are looking for a versatile Software Engineer with expertise in AI/ML who can build robust applications, design scalable systems, and integrate machine learning models into production environments. This role is ideal for someone who enjoys working across the full engineering stack — from backend services and APIs to ML pipelines and deployment. Key Responsibilities Software Engineering ● Design, develop, and maintain high-quality backend services and APIs. ● Writ...

Experience : 5.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers client - Xpergia) What do you need for this opportunity Must have skills required: Ai/ml engineer, ML Pipelines, Python, Ml/dl frameworks, Data Pipelines, ETL, SQL/NoSQL databases Xpergia is Looking for: About The Role We are seeking an experienced AI/ML Engineer with a strong background in designing, developing, and deploying machine learning models and AI-driven solutions. The ideal candidate will have hands-on expertise across the full ML lifecyclefrom data explor...

We're in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry. This type of workwork that changes the worldis what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join the Pure Solutions team as a Senior MLOps Solutions Engineer to architect and build high-scale, enterprise-grade AI/ML solutions. You will be instrumental in integrating Pure Storage platforms with the evolving open-source MLOps ecosystem (Kubeflow, MLflow, Ray) to operationalize the complete machi...

Experience : 5.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers client - Xpergia) What do you need for this opportunity Must have skills required: Ai/ml engineer, ML Pipelines, Python, Ml/dl frameworks, Data Pipelines, ETL, SQL/NoSQL databases Xpergia is Looking for: About The Role We are seeking an experienced AI/ML Engineer with a strong background in designing, developing, and deploying machine learning models and AI-driven solutions. The ideal candidate will have hands-on expertise across the full ML lifecyclefrom data explor...

Experience : 5.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers client - Xpergia) What do you need for this opportunity Must have skills required: Ai/ml engineer, ML Pipelines, Python, Ml/dl frameworks, Data Pipelines, ETL, SQL/NoSQL databases Xpergia is Looking for: About The Role We are seeking an experienced AI/ML Engineer with a strong background in designing, developing, and deploying machine learning models and AI-driven solutions. The ideal candidate will have hands-on expertise across the full ML lifecyclefrom data explor...

About Client: Our client is one of the world's fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. They helps customers in two ways: Working with the world's leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.Powering this growth is our clients talent cloudan AI-vetted pool of 4M+ software engineers, data scientists, and STEM experts who can train models and build AI applications. All of this is orchestrated by ALANour AI-powe...

Hands-on with MLOps/GenAIOps stacks (MLflow, Kubeflow, SageMaker, etc.)Familiarity with agentic AI frameworks (LangChain, AutoGen, LangGraph, CrewAI) and their real-world application.Exp. with big data ecosystems ( PySpark, Kafka, HDFS, Delta Lake). Required Candidate profile 8-10Yrs exp in Lead Python Developer (with ML Expertise), development & deployment in cloud/distributed systems (AWS/GCP/Azure, Docker, Kubernetes).Python-based applications & services, leading teams.

Jitterbit is a leading data, application, and process workflow automation solution. Rooted in iPaaS and fueled by an ambitious vision, we integrate critical business processes to deliver the experiences and insights needed by enterprises of all sizes to accelerate their digital journey and future proof their business. Simply put, we power people to perform their best. Jitterbit empowers business transformation by automating critical business processes for faster, more informed decision-making. Jitterbit is the only provider to seamlessly combine and simplify the power of integration, APIM, and no-code app creation to amplify the value of your tech stack and speed up your digital journey. Org...

We are hiring Machine Learning Engineer with strong Python &ML model-building skills to design,develop, &deploy end-to-end ML pipelines.The role includes data processing, model training,production integration, &ongoing model performance monitoring. Provident fund

Job Overview The Applied AI Solutions Architect is a strategic role responsible for designing, implementing, and managing AI-driven solutions that align with business objectives. This position bridges technical expertise in artificial intelligence (AI) and machine learning (ML) with business strategy, ensuring scalable, ethical, and high-performing AI systems. The AI Solutions Architect collaborates with cross-functional teams to deliver innovative solutions, leveraging generative AI, cloud platforms, and modern architectures like Retrieval-Augmented Generation (RAG). Responsibilities Solution Design : Architect end-to-end AI/ML pipelines, including data ingestion, preprocessing, model train...

Technical skills 5 to 7 years’ Experience in developing Python frameworks Languages & Frameworks: Python,. Data Tools: SQL Server Modeling: Supervised/unsupervised learning, deep learning Deployment: Docker, REST APIs, cloud or on-premise deployment MLOps: Exposure to CI/CD pipelines, MLflow or similar tools At least 2 years of experience in developing generative AI models using python and relevant frameworks. Strong knowledge of generative AI concepts and algorithms. Proficient in python and common libraries such as numpy, pandas, matplotlib, and scikit-learn. Collaborate with DevOps and software engineering teams to integrate models into applications and services. Familiar with version con...

We are seeking a Senior QA Engineer with extensive experience testing smartphone applications, leading quality strategy, and driving end-to-end testing across complex, cross-device ecosystems. This role requires deep expertise in responsive/adaptive UI, AI models validation, strong technical judgment, and the ability to influence engineering and product teams to deliver high-quality smartphone experiences at scale for global users by supporting internationalization and localization workflows and automation. Contract Duration: 12 Months (Potential 12-Month Extension Based on Performance) Work Location: Onsite – Pune or Bangalore, India Client: Renowned Multinational Telecommunications Company...

About This Role Role Overview: We are looking for a forward-thinking AI Engineer to help redefine how quality is understood, measured, and improved across our engineering organization. This role goes beyond traditional test automation — it focuses on building intelligent systems that enhance decision-making, accelerate feedback loops, and elevate product quality through data-driven insights and adaptive tooling. You will work at the intersection of AI, software testing, and engineering operations, applying techniques from Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLMs) to create scalable solutions that support quality assurance, risk analysis, and c...

Lead / Senior Machine Learning Engineer (LLMs & NLP) Location: Remote Engagement: Contract (Short Term — 3 Months) About the Role We are looking for a highly skilled Senior/Lead Machine Learning Engineer with deep expertise in NLP, LLMs, and modern deep learning architectures . The ideal candidate is a hands-on technical leader with proven experience delivering ML/LLM models to production in fast-paced environments. Key Responsibilities Build, fine-tune, and deploy LLMs, NLP models, and Transformer-based architectures . Lead and mentor a small team of ML engineers to ensure high-quality model delivery. Drive end-to-end ML lifecycle: data prep, model training, evaluation, optimization, and de...

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! We are seeking a skilled and passionate ML Engineer with 7+ years of experience to join our team. The ideal candidate will be instrumental in developing, deploying, and maintaining machine learning models, with a strong focus on MLOps practices. This role requires hands-on experience wi...

Humanli.ai is Hiring: Generative AI + Machine Learning Engineer. Only Immediate Joiners (0–1 Year Experience) At Humanli.ai , we're building cutting-edge AI solutions that combine the power of Generative AI and Machine Learning . We're looking for a talented engineer who thrives at the intersection of GenAI applications , open-source models , and core ML/DL concepts . 𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 Build GenAI pipelines using LangChain , LangGraph , CrewAI , and other orchestration frameworks Design prompt templates and optimize LLM interactions for production use Deploy and fine-tune open-source LLMs (e.g., LLaMA, Falcon, Mistral) on Azure / GCP / AWS Integrate ML & GenAI models into APIs using FastA...

HOW MIGHT YOU DEFY IMAGINATION? If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. Live | What you will do As the Therapeutic Area (TA) Decision Sciences Lead , you will be the single point of accountability for all data science and measurement work supporting your assigned TA(s). You will work closely with U.S. CD&A Decision...

Technical skills 7 to 8 years' Experience in developing Python frameworks Languages & Frameworks: Python, TensorFlow or PyTorch Data Tools: SQL Server Modeling: Supervised/unsupervised learning, deep learning Deployment: Docker, REST APIs, cloud or on-premise deployment MLOps: Exposure to CI/CD pipelines, MLflow or similar tools At least 2 years of experience in developing Azure Open AI & generative AI models using python and relevant frameworks. Strong knowledge of generative AI concepts and algorithms. Proficient in python and common libraries such as numpy, pandas, matplotlib, and scikit-learn. Collaborate with DevOps and software engineering teams to integrate models into applications an...

Location Ahmedabad, India (WFO) Experience 2-4 Years Job Code EDOSM112501 Education Qualification Bachelor Degree or Masters Job Briefing EvinceDev (Evince Development) is looking for Talented candidates as per the requirements described here. Following are the Brief points of the Job requirements Design, develop, and deploy machine learning and deep learning models for real-world business problems. Work on data collection, preprocessing, and feature engineering to ensure high-quality input data. Build and maintain end-to-end ML pipelines for model training, evaluation, and deployment. Collaborate with cross-functional teams to integrate ML models into production environments. Optimize model...

About The Job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Machine Learning Engineer Type: Hourly contractor Compensation: $14/hour Location: Remote Commitment: 20–40 hours/week Role Responsibilities Design and implement scalable ML pipelines for model training, evaluation, and continuous improvement. Build and fine-tune deep learning models for reasoning, code generation, and real-world decision-making. Collaborate with data scientists to collect and preprocess training data, ensuring quality and ...

Humanli.ai is Hiring: Generative AI + Machine Learning Engineer. Only Immediate Joiners (0–1 Year Experience) At Humanli.ai , we're building cutting-edge AI solutions that combine the power of Generative AI and Machine Learning . We're looking for a talented engineer who thrives at the intersection of GenAI applications , open-source models , and core ML/DL concepts . 𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 Build GenAI pipelines using LangChain , LangGraph , CrewAI , and other orchestration frameworks Design prompt templates and optimize LLM interactions for production use Deploy and fine-tune open-source LLMs (e.g., LLaMA, Falcon, Mistral) on Azure / GCP / AWS Integrate ML & GenAI models into APIs using FastA...

Area(s) of responsibility Design and develop robust AI/ML solutions tailored to industry verticals such as Banking, Financial Services, Insurance (BFSI), Energy & Utilities (EnU), Life Sciences, and Manufacturing. Collaborate with cross-functional teams to gather business requirements and translate them into scalable machine learning architectures. Lead the end-to-end lifecycle of ML projects—from data exploration and model development to deployment and monitoring—ensuring alignment with organizational standards and best practices. Evaluate and select appropriate ML algorithms, frameworks, and tools to optimize model performance, scalability, and interpretability. Conduct research on emergin...

About TuringEdge TuringEdge is an AI and product engineering studio transforming how intelligence is built, deployed, and scaled in the real world. We design autonomous, goal-driven systems that can understand context, make decisions, and act — not just analyze data. Our work spans agentic AI architectures , digital twins , and AI-powered automation that enable organizations to move from insights to autonomous execution. Our team blends deep expertise in machine learning, knowledge systems, and multi-agent orchestration to help enterprises modernize products, optimize operations, and build the intelligent foundations of the future. At our core, we believe AI should go beyond answers — it sho...

Company Description About Sutherland Artificial Intelligence. Automation.Cloud engineering. Advanced analytics.For business leaders, these are key factors of success. For us, they’re our core expertise. We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence. We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model. For each company, we p...