63 Ml Libraries Jobs

Role Overview: As an AI Fine Tuning Expert at our company located in Siruseri, Chennai, your primary responsibility will be to fine-tune LLaMA models on domain-specific data such as finance, healthcare, telecom, legal, etc. You will also be involved in curating, cleaning, and pre-processing datasets for supervised and unsupervised fine-tuning. Additionally, you will implement low-rank adaptation (LoRA), PEFT, QLoRA, or full fine-tuning as required and optimize model training performance using tools/libraries. Evaluating fine-tuned models using appropriate metrics, deploying and integrating models with APIs, RAG pipelines, or inference servers, and conducting safety audits and hallucination checks post-fine-tuning will also be part of your responsibilities. Furthermore, you should be familiar with open-source LLMs beyond LLaMA (Mistral, Falcon, Mixtral, etc.), hands-on with orchestration tools like LangChain, LangGraph, CrewAI, or Flowise, and have knowledge of tokenizers, embeddings, and prompt templates. Proficiency in Python, PyTorch, and model training workflows is essential for this role. Key Responsibilities: - Fine-tune LLaMA models on domain-specific data - Curate, clean, and pre-process datasets for supervised and unsupervised fine-tuning - Implement low-rank adaptation (LoRA), PEFT, QLoRA, or full fine-tuning as per need - Optimize model training performance using tools/libraries - Evaluate fine-tuned models using appropriate metrics - Deploy and integrate models with APIs, RAG pipelines, or inference servers - Use tools like Weights & Biases, LangSmith, or TensorBoard for training monitoring and logging - Conduct safety audits and hallucination checks post-fine-tuning - Familiarity with open-source LLMs beyond LLaMA (Mistral, Falcon, Mixtral, etc.) - Hands-on with orchestration tools like LangChain, LangGraph, CrewAI, or Flowise - Knowledge of tokenizers, embeddings, and prompt templates - Experience with LLaMA (preferably LLaMA 2 / LLaMA 3) and Hugging Face ecosystem - Proficiency in Python, PyTorch, and model training workflows Qualifications Required: - Deep expertise in Fine tuning in LLama, LoRA, QLoRA - Strong command of Python & ML Libraries Please note that the company offers the following benefits: - Work with Top tier AI minds - Access to high-performance infra for model training - Opportunity to drive innovation with real-world applications - Be part of a growing AI team building next-gen tools - Continuous learning and innovation - Competitive salary with growth opportunities,

Experience - 3+ years Key Responsibilities: Design, develop, and deploy ML models using Python and open-source libraries (e.g., scikit-learn, TensorFlow, PyTorch). Train, fine-tune, and optimize existing ML models for improved accuracy and performance. Implement NLP solutions for text classification, sentiment analysis, entity recognition, and related tasks. Develop and maintain image processing and image classification models, including OCR solutions for extracting text from images. Collaborate with data scientists, product managers, and engineering teams to understand requirements and deliver robust ML solutions. Evaluate and integrate open-source ML models and tools as needed. Perform data pre-processing, feature engineering, and exploratory data analysis for both text and image data. Monitor model performance and retrain models as necessary. Document code, processes, and model architectures for maintainability and knowledge sharing. Required Skills & Qualifications: Strong proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, OpenCV, Tesseract, etc.). Experience developing and training ML models in production environments. Solid understanding of NLP concepts and techniques (tokenization, embeddings, transformers, etc.). Hands-on experience with image processing, image classification, and OCR.

Job Title: AI Engineer Location: Remote Working Days: Monday to Friday (5 Days) Experience Required: Minimum 3 years About the Role: We are looking for a skilled and motivated AI Engineer with 3+ years of experience in building and deploying AI/ML solutions. As part of our dynamic and forward-thinking tech team, you will play a key role in developing intelligent systems that solve real-world business problems. Key Responsibilities: Design, develop, and deploy scalable AI/ML models and algorithms Collaborate with data scientists, product managers, and developers to integrate AI models into products and services Perform data preprocessing, feature engineering, and model tuning Research and evaluate new AI tools and technologies to enhance existing systems Create clear documentation for models, pipelines, and workflows Monitor model performance and retrain as needed to maintain accuracy Required Skills & Qualifications: Bachelor's or Masters degree in Computer Science, Data Science, AI/ML, or related field Minimum 3 years of hands-on experience in AI/ML engineering Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, etc.) Solid understanding of machine learning algorithms (supervised, unsupervised, NLP, deep learning) Experience with data processing tools like Pandas, NumPy Familiarity with cloud platforms (AWS, GCP, or Azure) and model deployment Excellent problem-solving skills and analytical mindset Strong communication and collaboration skills Good to Have: Experience with LLMs, Generative AI, or AI model optimization Exposure to MLOps tools and pipelines Understanding of data privacy and security standards Perks & Benefits: Remote-first culture Opportunity to work on cutting-edge AI projects Growth-oriented environment with a collaborative team

As an AI/ML Analyst Advanced at our company, you will be responsible for utilizing your practical experience in AI/ML development and domain knowledge in Oil & Gas to enhance operational efficiency, reduce downtime, and optimize costs across various datasets. Your primary role will involve working closely with both business and IT teams to translate domain requirements into AI/ML models. Key Responsibilities: - Assist in requirement gathering, elicitation, prioritization, and validation for AI/ML use cases in E&P, O&M, and HSE domains. - Develop and validate machine learning models including classification, regression, and clustering. - Prepare and cleanse data, perform feature engineering, and support exploratory data analysis. - Build and maintain data pipelines using big data platforms like Spark and Databricks. - Collaborate in AI/ML model deployment and maintenance, ensuring automated retraining. - Ensure compliance with AI governance, ethical use, and data security policies. - Create dashboards and reports to measure KPIs such as downtime reduction and process optimization. Qualifications & Skills: - Bachelors/Masters degree in a relevant field. - 5-8 years of AI/ML experience with exposure to the Oil & Gas industry preferred. - Proficiency in Python, ML libraries, SQL/NoSQL, and big data technologies. - Familiarity with cloud ML platforms and MLOps fundamentals. - Strong documentation and stakeholder engagement skills. (Note: No additional details about the company were provided in the job description),

As an AI & Data Analyst Trainer at our company located in Saibaba Colony, your role involves training students and professionals in Artificial Intelligence, Machine Learning, and Data Analytics concepts. You will design and deliver sessions on Data Analysis, Predictive Modeling, Deep Learning, and NLP fundamentals. Your responsibilities also include providing hands-on training using Python, R, SQL, Tableau/Power BI, and ML libraries. It is essential for you to stay updated with emerging AI & Data Analytics trends and incorporate them into training modules. Key Responsibilities: - Train students/professionals in Artificial Intelligence, Machine Learning, and Data Analytics concepts. - Design and deliver sessions on Data Analysis, Predictive Modeling, Deep Learning, and NLP fundamentals. - Provide hands-on training using Python, R, SQL, Tableau/Power BI, and ML libraries. - Stay updated with emerging AI & Data Analytics trends and incorporate them into training modules. Qualifications Required: - Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or related field. Additional Company Details: - Contact: +91 76049 68508 / +91 93617 55131 - Job Types: Full-time, Permanent - Work Location: In person Your success in this role will be driven by your strong knowledge of AI with machine learning, Deep Learning, and Data Analytics (Tableau, Power BI, SQL, Python, Advance Excel). Additionally, your excellent communication, presentation, and mentoring skills, along with the ability to simplify complex technical concepts for learners, will be crucial for effectively carrying out your responsibilities.,

Job Description: 2+ years of experience building AI/ML based products with predictive and prescriptive analytics capabilities. Hands on experience with Python and AI/ML libraries. Tools - must: PyTorch/Tensorflow, Scikit-Learn. Good to have: Flask, Django, FastApi, GenAI, NLP ,MLOps, Any Vector db Proficiency in machine learning techniques and data mining algorithms such as Regression, Clustering, Classification, Decision trees, KNN and SVM. Ability to design algorithmic implementation for performing real-time and scalable learning machines. Good communication and presentation skills. Bachelors/Masters in Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred. Must possess a balance of analytic problem solving and strong interpersonal and relationship development skills. What will excite us: Ability to understand non-functional requirements such as scalability, security, application monitoring, performance etc. Prior experience with Domain Driven Design (DDD). Good experience with Test Driven Development. What will excite you: Opportunity to work on large scale enterprise solution building. Opportunity to explore new technologies & frameworks with accomplished solution architects & industry leaders. Will get exposure to latest aspects of security, AI/ML, Business Domain and data analytics. Here are some of the technologies we work with day-to-day right now: EF Core/SQL/MongoDB Workflow Foundation WPF with prism based pluggable architecture Biometric Device Integrations Ocelot, Consul Containerization and CI/CD KeyCloak as Auth Service Provider Chatbot framework - Integration with messaging services Enterprise grade multi-tenant architecture implementation Here are a few recent projects you might have worked on if you were already part of the team: Applicant Tracking System: B2B Solution with enterprise grade architecture Multitenancy support Refactoring legacy application to latest technology stack using domain driven design approach Containerization ElasticSearch and NoSQL Integrations for faster operations Event sourcing and CQRS design pattern Integration framework with various echo systems Platform support for third party applications Location : Ahmedabad

The ideal candidate should have a minimum of 5 years of experience in data engineering, machine learning, or automation roles. You should possess strong programming skills in Python and have experience working with ML libraries such as scikit-learn, TensorFlow, or PyTorch. Hands-on experience with OCR technologies like Tesseract, Azure OCR, Google Vision, or AWS Textract is required for this role. In addition, proficiency in using Power Automate for workflow automation and Selenium with Python for web automation and testing is preferred. Excellent verbal and written communication skills are essential for effective collaboration within the team. A degree in computer science, Engineering, or a related field is desired. The job is located in Hyderabad and requires a minimum of 5 years of experience. The salary offered is competitive and the work schedule is 5 days a week.,

Designs and creates end-to-end automation of a machine learning pipeline solutions based off specific business and functional requirements of machine learning models. Consults with businesses to identify needs and translates those needs into machine learning solutions. Maintain pipeline functionality and currency (technical debt and gain). Integrate automated lifecycle components into a fully functional pipeline. Apply data and model governance principles. Defines, creates and maintains a meaningful set of metrics. Establishes relationships to obtain data needed for metrics. Identifies and contacts appropriate managers and professionals to gather necessary information to be added to central reporting database. Conducts studies to provide additional facts needed to make informed decisions about organizational and functional effectiveness of machine learning products. Executes full machine learning lifecycle development and deployment. Programming and maintaining well-designed, testable, efficient code analyze, design, and develop tests, test-automation and maintain artifacts in support of fully functional machine learning pipeline solutions. Develop software pipeline verification plans and quality assurance procedures. Troubleshoot, debug and upgrade existing systems. Implement standards and procedures that ensure optimal functionality of feature factory, model registry, model monitoring and model retraining components. Participate in model deployment process following all change controls. Provide ongoing maintenance, support and enhancements in existing systems and platforms. Provide recommendations for continuous improvement of machine learning pipeline components and MLOps functions. Familiarity with Container Orchestration system, Configuration management tools. Knowledge of modern cloud solution for AI/ML and experience working with highly available and distributed software. Practical familiarity with ML libraries and programming languages. Strong skills in Application user interface (APIs) Implements requirements for model integration with UI for inferencing. Performs analysis of datasets and machine learning models through testing to identify fine tuning opportunities to improve model and pipeline performance. May use machine learning frameworks. Assists team in enforcing model governance. Communicates effectively with technical and business staff. Develops reports and prepares and delivers both informational and decision-seeking presentations. Stays abreast of organization and management changes and has in-depth knowledge of company practices relevant to MLOps and machine learning. Maintains knowledge of company's total computing environment and planned changes in order to develop meaningful machine learning products. Monitors industry and marketplace technology practices and benchmarks related to banking industry and supporting the machine learning strategy. Stays abreast of technology innovations and trends to recommend areas for improvement. Supervises resources by providing instruction, making assignments, directing, and checking the work of applications developers. Provides training in technical tools and skills, as well as specific applications and their business functions to maximize their contribution. Grow and develop skills in: MLOps, big data systems, machine learning concepts, NLP, anomaly detection, generative AI. Contributes to the achievement of related teams objectives. Modified based upon local regulations/requirements. Bachelor's degree in STEM engineering degree, or equivalent work experience with experience preferred in related fields. 3-5 years of related experience required experience in the securities or financial services industry is a plus. BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer. Minorities/Females/Individuals with Disabilities/Protected Veterans. Our ambition is to build the best global team-one that is representative and inclusive of the diverse talent, clients and communities we work with and serve-and to empower our team to do their best work. We support wellbeing and a balanced life, and offer a range of family-friendly, inclusive employment policies and employee forums.

As a Senior Generative AI Engineer at Blue Yonder, you will play a crucial role in designing, developing, and implementing innovative agentic AI-driven solutions. This is a hands-on position where you will be responsible for building agentic AI proof of concepts (POCs) from scratch to showcase the potential and value of the solutions to the business. Your primary responsibilities will include designing, prototyping, and deploying cutting-edge agentic AI solutions that address customer pain points within Blue Yonder's global customer base. You will work on pioneering projects that explore the capabilities of Generative AI and machine learning in the supply chain and retail sectors. In this role, you will design, build, and iterate agentic AI solutions using proprietary and open-source language model frameworks such as Autogen. You will also demonstrate these solutions to internal stakeholders and customers, gather feedback, and continuously enhance the solutions based on the input received. Collaboration with team members and supply chain experts will be essential to refine agentic AI solutions and tailor them to specific business challenges. Additionally, you will be tasked with establishing coding standards, best practices, and technical documentation to ensure the development of reliable and robust AI agents. Key qualifications for this role include a Bachelor's degree in computer science, Artificial Intelligence, Data Science, or a related STEM field, along with a minimum of 3 years of experience in data science, machine learning, or Generative AI. Proficiency in Python and various ML libraries is a must, as well as a solid understanding of language model frameworks, cloud platforms, and version control systems. If you are passionate about pushing the boundaries of AI, committed to continuous learning and innovation, and thrive in a dynamic startup environment within an enterprise setting, we encourage you to apply for this exciting opportunity. Preferred skills for this role include familiarity with CI/CD pipelines, automated testing strategies, monitoring tools for language models, and prior experience in solving data science challenges within the supply chain domain. Strong communication skills and a history of contributions to open-source projects in the AI/ML space are also advantageous. At Blue Yonder, our values are at the core of everything we do. If you share our values and are driven by a desire to make a meaningful impact, we invite you to explore how you can be a part of our success story.,

You will be joining Crimson AI as a Senior Research Engineer (Natural Language Processing) with at least 2 years of NLP production-level experience. In this role, you will be responsible for identifying and implementing the best data-driven methodologies in alignment with the product requirements. Your primary responsibilities will include designing, developing, and implementing advanced data-driven approaches utilizing NLP, machine learning algorithms, text mining, and more. It is essential to stay updated with recent and relevant research works, working on NLP-ML model deployment and updates, optimizing algorithm and code design, conducting high-quality Test-driven development, estimating deadlines accurately, and benchmarking. To excel in this role, you must have demonstrated solid research engineering skills in NLP problems through platforms such as Kaggle, popular GitHub open-source projects, or Google Summer of Code (GSoC). A strong foundation in mathematics and statistics, specifically in linear algebra, probability theory, regression modeling, and mathematical logic, is essential. Proficiency in Tensorflow, Keras, Pytorch, Python, Python frameworks, ASGI servers, RDBMS, NoSQL databases, data structures, algorithms, design patterns, OOP concepts, RESTful API, micro-server architecture, NLP libraries, ML libraries, text manipulations, regex, and text cleaning is also required. An added advantage would be proficiency in Cython, C, C++, and having publications in top-tier venues. Your passion for publication and dedication to staying at the forefront of AI technologies will be key to success in this role at Crimson AI.,

July 16, 2025 admin Interns Gen AI & ML Full Time Chennai Posted 2 months ago We are inviting enthusiastic interns to work on real-world projects in Generative AI and Machine Learning. This role offers hands-on exposure to AI models, prompt engineering, and data pipelines in a practical, team-driven environment. Experience: 01 Year Skills Basic knowledge of Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Familiarity with LLMs, NLP, or Gen AI concepts. Understanding of data preprocessing, model training, and evaluation. Eagerness to learn, research, and experiment with new AI trends. Responsibilities & Required Skills Support development of Gen AI prototypes and ML models. Work with datasets to clean, preprocess, and feed into models. Collaborate with AI engineers on prompt tuning and performance testing. Document findings, results, and experiment logs. Stay updated on recent Gen AI advancements and tools. Job Features Job Category AI & Data Science / Internship No of Positions 6 Experience 01 Year Location Chennai Employment Type Internship Apply For This Job Name* Email* Phone* United States+1 United Kingdom+44 Afghanistan (????????????)+93 Albania (Shqipri)+355 Algeria (??????????)+213 American Samoa+1 Andorra+376 Angola+244 Anguilla+1 Antigua and Barbuda+1 Argentina+54 Armenia (????????)+374 Aruba+297 Australia+61 Austria (sterreich)+43 Azerbaijan (Az?rbaycan)+994 Bahamas+1 Bahrain (??????????)+973 Bangladesh (????????)+880 Barbados+1 Belarus (????????)+375 Belgium (Belgi)+32 Belize+501 Benin (Bnin)+229 Bermuda+1 Bhutan (?????)+975 Bolivia+591 Bosnia and Herzegovina (????? ? ???????????)+387 Botswana+267 Brazil (Brasil)+55 British Indian Ocean Territory+246 British Virgin Islands+1 Brunei+673 Bulgaria (????????)+359 Burkina Faso+226 Burundi (Uburundi)+257 Cambodia (???????)+855 Cameroon (Cameroun)+237 Canada+1 Cape Verde (Kabu Verdi)+238 Caribbean Netherlands+599 Cayman Islands+1 Central African Republic (Rpublique centrafricaine)+236 Chad (Tchad)+235 Chile+56 China (??)+86 Christmas Island+61 Cocos (Keeling) Islands+61 Colombia+57 Comoros (???? 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Job Description Job Title: AI Architect Location: Hyd/Mum/Bang Exp Level: 15+ Education: Any Dgree Job Summary: Scope out, design and oversee the architecture of AI and machine learning solutions across products and platforms for our clients Collaborate with team members to translate business requirements into AI-enabled solutions at either a Roadmap, Proof of Value, Full Implementation or Managed Service support capability and service offering. Aid in the selection of appropriate tools, frameworks, and technologies for AI development in the Google (GCP) cloud using related technologies. Create reusable and scalable AI models and pipelines for our clients thereby ensuring performance, reliability, and security. Develop and enforce best practices for model governance, MLOps, and responsible AI. Evaluate and integrate third-party AI services and APIs when needed. Drive innovation by staying current with AI trends and emerging technologies (e.g., LLMs, edge AI). Required Qualifications: Bachelor&aposs or Masters degree in Computer Science, Data Science, AI, or related field. 7+ years of experience in software development, with at least 3 years in AI/ML architecture roles. Strong proficiency in machine learning, deep learning, data engineering, and distributed systems. Experience with Google cloud-based AI platforms such as Google Vertex AI. Proficiency in Python and experience with ML libraries. Solid understanding of AI data governance, model explainability, and ethical AI principles. Excellent communication skills to work with both technical and non-technical stakeholders. Demonstrated experience delivering scalable AI projects that drive business value. Preferred Skills: Experience deploying generative AI models and LLMs leveraging RAG models (e.g., GPT, Google, Claude, open-source models). Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML. Knowledge of NLP, computer vision, or reinforcement learning. Hands-on development and support of AI solutions. Solid client communication skills. About Us Datavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world-class tech-enabled delivery platform and software solutions across all leading technologies. For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes, and is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner. About The Team The Enterprise Applications Cloud ERP practice specializes on Oracle technology and supports our clients full-life cycle needs for both on-prem and cloud products. The practice itself is 100+ FTEs strong located in the US, Colombia, and India and is the fastest growing practice in Datavail. The right person will exemplify Datavails core values (Desire to service, Low Ego, Hard Work). So if you are looking for a company that loves it clients just as much we love our team then this is the right place for you. Show more Show less

Role: Machine Learning Engineer Exp: 3-8 years Notice period: Immediate Mode: Work from office(5 days) Location: Hyderabad Looking for a driven and innovative Machine Learning Engineer to help us scale and foresee problems that aren't apparent. We're seeking a hands-on individual with a strong passion for data and a proven ability to translate complex data challenges into robust, scalable machine learning solutions. In this role, you'll be a key player in developing, deploying, and maintaining ML models that directly impact our core business functions and enhance user experiences. If you thrive in a collaborative, fast-paced environment, excel at working with diverse data sources, and possess a solid foundation in machine learning principles and MLOps, we encourage you to apply. Key Responsibilities Design, develop, and implement end-to-end machine learning models, from initial data exploration and feature engineering to model deployment and monitoring in production environments. Build and optimize data pipelines for both structured and unstructured datasets, focusing on advanced data blending, transformation, and cleansing techniques to ensure data quality and readiness for modeling. Create, manage, and query complex databases, leveraging various data storage solutions to efficiently extract, transform, and load data for machine learning workflows. Collaborate closely with data scientists, software engineers, and product managers to translate business requirements into effective, scalable, and maintainable ML solutions. Implement and maintain robust MLOps practices, including version control, model monitoring, logging, and performance evaluation to ensure model reliability and drive continuous improvement. Research and experiment with new machine learning techniques, tools, and technologies to enhance our predictive capabilities and operational efficiency. Required Skills & Experience 3-8 years of hands-on experience in building, training, and deploying machine learning models in a professional, production-oriented setting. Demonstrable experience with database creation and advanced querying (e.g., SQL, NoSQL), with a strong understanding of data warehousing concepts. Proven expertise in data blending, transformation, and feature engineering , adept at integrating and harmonizing both structured (e.g., relational databases, CSVs) and unstructured (e.g., text, logs, images) data. Strong practical experience with cloud platforms for machine learning development and deployment; significant experience with Google Cloud Platform (GCP) services (e.g., Vertex AI, BigQuery, Dataflow) is highly desirable. Proficiency in programming languages commonly used in data science (e.g., Python is preferred, R). Solid understanding of various machine learning algorithms (e.g., regression, classification, clustering, dimensionality reduction) and experience with advanced techniques like Deep Learning, Natural Language Processing (NLP), or Computer Vision . Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch ). Familiarity with MLOps tools and practices , including model versioning, monitoring, A/B testing, and continuous integration/continuous deployment (CI/CD) pipelines. Experience with containerization technologies like Docker and orchestration tools like Kubernetes for deploying ML models as REST APIs. Proficiency with version control systems (e.g., Git, GitHub/GitLab) for collaborative development. Educational Background Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, or a closely related quantitative field.

Expertise in GenAI, deep learning frameworks (TensorFlow/PyTorch), Strong Python/R programming with experience in ML libraries, Proficiency in cross-validation strategies, bias-variance trade-off, model interpretability (SHAP, LIME), fairness metrics and all other performance metrics

Were Hiring: Machine Learning Engineer | Contract Role | India (Remote) Location: India Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,Remote (Remote open to candidates across India) Type: Contract Position About the Role Were seeking a Machine Learning Engineer with strong expertise in Python, PySpark, and ML frameworks to work on advanced AI/ML projects. The role involves building, maintaining, and optimizing ML models, conducting data exploration, and applying cutting-edge algorithms to deliver actionable insights. Primary Skills & Responsibilities 6-8 years of programming experience in Python / PySpark with ML libraries Strong understanding of ML concepts: Probabilistic Models, Supervised & Unsupervised Learning, Ensemble Techniques, Hyperparameter Tuning Experience with constraint optimization and deep learning models Proven experience in building ML models: Regression, Logistic Regression, Random Forest, XGBoost, SVM, Clustering, etc. Ability to explore data and communicate insights effectively to technical & non-technical stakeholders Expertise in scikit-learn, h2o, R/MLlib, Databricks ML services Strong problem-solving and research skills; ability to apply new methodologies to practical scenarios Nice to Have Experience with Databricks ML services Familiarity with cloud-based ML pipelines Exposure to advanced ML frameworks

About the Role: We are looking for a highly skilled and motivated Data Scientist with 35 years of experience to join our Data Innovation team. The ideal candidate will have strong analytical skills, hands-on experience in Computer Vision and Large Language Models (LLMs), and a proven track record of turning complex data into actionable insights and intelligent solutions. This role will involve working on high-impact AI solutions for unstructured data, including images and documents. Designation Data Scientist Key Responsibilities: Design, develop, and deploy models for computer vision tasks such as object detection, image classification, OCR, segmentation, etc. Build and fine-tune LLM-based pipelines for tasks such as information extraction, document summarization, chat-based interfaces, and automated reasoning. Work closely with cross-functional teams (engineering, product, business) to translate business problems into data science solutions. Conduct exploratory data analysis, statistical modelling, and feature engineering across diverse data sources. Evaluate model performance using appropriate metrics and iterate for improvement. Stay up to date with the latest research and advancements in AI/ML, computer vision, and NLP. Required Qualifications: Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related fields. 3–5 years of hands-on experience in Data Science or Machine Learning roles. Strong proficiency in Python and ML libraries such as scikit-learn, pandas, PyTorch/TensorFlow, OpenCV, Langchain etc. Experience with Computer Vision frameworks (e.g., YOLO, Detectron2, MM Detection) and LLMs (e.g., Hugging Face Transformers, Lang Chain, LLaMA, GPT). Experience with real-world model deployment and evaluation. Strong grasp of machine learning concepts, statistical analysis, and data manipulation. Excellent problem-solving, communication, and stakeholder collaboration skills. Good to have: Exposure to the lending, finance, or banking domain (e.g., credit scoring, income estimation, fraud detection). Experience with document AI or multi-modal AI systems. Familiarity with cloud platforms (AWS/GCP/Azure) and MLops tools. Experience working with OCR engines (Tesseract, PaddleOCR, etc.) and integrating CV+LLM pipelines. Understanding of RAG pipelines, fine-tuning of open-source LLMs, or prompt engineering. Location – Ahmedabad (Onsite) Experience – 3 to 5 Years Please share your updated resume at mustakin.saiyad@oplinnovate.com

We are looking for AI/ML engineers who will be responsible for developing, deploying, and optimizing advanced AI models. You will have the opportunity to work with cutting-edge tools such as OpenAI APIs, Hugging Face Transformers, ONNX, and LangChain to create scalable AI solutions. Your key responsibilities will include: - Demonstrating expertise in Large Language Models (LLMs) and utilizing tools like OpenAI API, Hugging Face Transformers, and other NLP frameworks. - Proficiently fine-tuning and deploying pre-trained models across various NLP tasks. - Strong knowledge in LangChain for the construction and management of LLM pipelines. - Utilizing Vector Databases such as Pinecone, Milvus, and Weaviate for efficient data retrieval and AI-driven search. - Applying embedding techniques for tasks related to search, recommendations, and semantic similarity. - Having a solid grasp of Prompt Engineering to enhance model performance. - Demonstrating strong Python programming skills and experience with ML libraries like TensorFlow, PyTorch, and Scikit-learn. - Experience in deploying ML models using ONNX for scalable and efficient inference. - Hands-on involvement in the development, optimization, and maintenance of AI/ML models within production environments. - Ability to collaborate effectively with cross-functional teams and staying updated on the latest AI advancements to improve solutions.,

Were Hiring: Machine Learning Engineer | Contract Role | India (Remote) Location: India Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, (Remote open to candidates across India) Type: Contract Position About the Role Were seeking a Machine Learning Engineer with strong expertise in Python, PySpark, and ML frameworks to work on advanced AI/ML projects. The role involves building, maintaining, and optimizing ML models, conducting data exploration, and applying cutting-edge algorithms to deliver actionable insights. Primary Skills & Responsibilities 68 years of programming experience in Python / PySpark with ML libraries Strong understanding of ML concepts: Probabilistic Models, Supervised & Unsupervised Learning, Ensemble Techniques, Hyperparameter Tuning Experience with constraint optimization and deep learning models Proven experience in building ML models: Regression, Logistic Regression, Random Forest, XGBoost, SVM, Clustering, etc. Ability to explore data and communicate insights effectively to technical & non-technical stakeholders Expertise in scikit-learn, h2o, R/MLlib, Databricks ML services Strong problem-solving and research skills; ability to apply new methodologies to practical scenarios Nice to Have Experience with Databricks ML services Familiarity with cloud-based ML pipelines Exposure to advanced ML frameworks

We are seeking a skilled MLOps Engineer with expertise in deploying and managing machine learning models utilizing cloud-native CI/CD pipelines, FastAPI, and Kubernetes, excluding Docker. The perfect candidate will have a strong background in scalable model serving, API development, and infrastructure automation on the cloud utilizing native container alternatives or pre-built images. Responsibilities will include designing, developing, and maintaining CI/CD pipelines for ML model training, testing, and deployment on cloud platforms such as Azure, AWS, and GCP. You will be tasked with creating REST APIs using FastAPI for model inference and data services, as well as deploying and orchestrating microservices and ML workloads on Kubernetes clusters like EKS, AKS, GKE, or on-prem K8s. It will be essential to implement model monitoring, logging, and version control without Docker-based containers, utilizing alternatives such as Singularity, Buildah, or cloud-native container orchestration. Automation of deployment pipelines using tools like GitHub Actions, GitLab CI, Jenkins, and Azure DevOps will also be part of your role. Additionally, you will manage secrets, configurations, and infrastructure using Kubernetes secrets, ConfigMaps, Helm, or Kustomize, while collaborating closely with Data Scientists and Backend Engineers to integrate ML models with APIs and UIs. Your responsibilities will also include optimizing performance, scalability, and reliability of ML services in production. The ideal candidate should possess strong experience with Kubernetes, including deployment, scaling, Helm, and Kustomize. A deep understanding of CI/CD tools like Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps is required. Proficiency in FastAPI for high-performance ML/REST APIs is essential, along with experience in cloud platforms like AWS, GCP, or Azure for ML pipeline orchestration. Familiarity with non-Docker containerization or deployment tools such as Singularity, Podman, or OCI-compliant methods is preferred. Strong Python skills and familiarity with ML libraries and model serialization (e.g., Pickle, ONNX, TorchServe) are also necessary, as well as a good understanding of DevOps principles, GitOps, and IaC (Terraform or similar). Preferred qualifications include experience with Kubeflow, MLflow, or similar tools, along with familiarity with model monitoring tools like Prometheus, Grafana, or Seldon Core. An understanding of security and compliance in production ML systems is advantageous. A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is preferred. This is a full-time, permanent position in the Technology, Information, and Internet industry.,

AI & ML Engineer Support the development of AI and machine learning models and applications. Responsibilities: - Assist in data preprocessing and model training. - Implement ML algorithms using Python libraries. - Evaluate model performance and tune parameters. - Collaborate with data scientists and engineers. Requirements: - Bachelor's degree in computer science, AI, or related field. - Basic knowledge of Python and ML libraries (scikit-learn, TensorFlow). - Understanding of data handling and model evaluation. - Interest in AI technologies and applications.

Were Hiring : Machine Learning Engineer | Contract Role | India (Remote) Location : Mumbai, Delhi / NCR, Bengaluru, Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India (Remote open to candidates across India) Type : Contract Position About the Role Were seeking a Machine Learning Engineer with strong expertise in Python, PySpark , and ML frameworks to work on advanced AI/ML projects. The role involves building, maintaining, and optimizing ML models, conducting data exploration, and applying cutting-edge algorithms to deliver actionable insights. Primary Skills & Responsibilities : - 6 - 8 years of programming experience in Python / PySpark with ML libraries Strong understanding of ML concepts: Probabilistic Models, Supervised & Unsupervised Learning, Ensemble Techniques, Hyperparameter Tuning Experience with constraint optimization and deep learning models Proven experience in building ML models: Regression, Logistic Regression, Random Forest, XGBoost , SVM, Clustering, etc. Ability to explore data and communicate insights effectively to technical & non-technical stakeholders Expertise in scikit-learn, h2o, R/ MLlib , Databricks ML services Strong problem-solving and research skills; ability to apply new methodologies to practical scenarios Nice to Have : - Experience with Databricks ML services Familiarity with cloud-based ML pipelines Exposure to advanced ML frameworks

As an ideal candidate for the position, you should possess 1 to 2 years of experience and hold a Bachelor's degree in Computer Science, B.Tech in IT or CSE, MCA, MSc IT, or any related field. The work mode is onsite, and the shift timings are from 12 PM to 10 PM (Afternoon Shift). Your primary responsibilities will include designing and implementing complex algorithms for critical functionalities, conducting system analysis, design, and documentation tasks, obtaining performance metrics of applications to optimize efficiency, managing project milestones and deadlines efficiently, developing highly scalable, multi-threaded applications, ensuring code quality through unit testing, and maintaining high standards of code documentation and structure. Additionally, you will be expected to utilize tools and techniques for detecting and resolving memory leaks, including heap dumps and thread dump analysis for debugging and performance optimization. In terms of technical background, you should have a strong understanding of Java, web services, and Design Patterns. Your expertise should extend to code optimization and performance improvement, with knowledge of tools like Java/Mysql Profiler for profiling and optimization. You must possess the ability to debug, identify problems, determine root causes, and apply effective solutions to resolve issues. Experience in writing unit tests using tools like JUnit, Mockito, or TestNG is essential for ensuring code reliability and correctness. Familiarity with tools for memory leak analysis, heap dumps, and thread dump analysis is crucial for troubleshooting performance bottlenecks. Moreover, your skill set should include proficiency in Regular Expressions, Solr, ElasticSearch, NLP, Text Processing, or any ML libraries. Being a fast learner with exceptional problem-solving and troubleshooting abilities is highly desirable for this role.,

We are seeking a skilled and innovative AI/ML Engineer to design, develop, and implement machine learning models and artificial intelligence solutions that drive business impact. The ideal candidate will have strong experience in data science, statistical modeling, and deep learning frameworks, along with the ability to work in cross-functional teams. Build and deploy scalable ML models for classification, regression, recommendation, or NLP tasks. Collect, clean, and preprocess large datasets from various sources. Design and run experiments to evaluate model performance and improve accuracy. Collaborate with software engineers to integrate models into production systems. Stay updated with the latest AI/ML research and technologies to apply best practices. Optimize model performance and ensure alignment with business goals.

As an AI/ML Engineer at our company based in Vadodara, Gujarat, India, you will play a crucial role in designing, developing, and implementing machine learning models and AI-driven solutions to address intricate business challenges. With 2-3 years of experience in the field, you will have the opportunity to collaborate with diverse teams to deliver scalable and innovative AI products. Your primary responsibilities will include designing, building, and deploying machine learning models and algorithms, extracting meaningful patterns and insights from large datasets, and ensuring the efficiency of data pipelines in collaboration with data engineers. Additionally, you will conduct experiments, evaluate and optimize models, and integrate them into production systems while staying abreast of the latest advancements in AI/ML. To excel in this role, you should have proficiency in Python and ML libraries such as scikit-learn, TensorFlow, and PyTorch. Experience in data preprocessing, feature engineering, and model evaluation is essential, along with knowledge in deep learning, NLP, computer vision, or reinforcement learning depending on the role focus. Familiarity with cloud platforms like AWS, GCP, Azure, MLOps tools, databases (SQL, NoSQL), and version control (Git) will be advantageous. Ideally, you hold a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, coupled with strong problem-solving skills, analytical capabilities, and the ability to work both independently and collaboratively. Effective communication, documentation skills, and a proactive approach to learning and adapting to new technologies are key attributes we value in our team members. Furthermore, any prior publications or contributions to open-source ML projects, experience in deploying models using Docker/Kubernetes, and familiarity with ML lifecycle tools like MLflow, Kubeflow, or Airflow will be considered favorably. In return, we offer a competitive salary, comprehensive benefits package, the opportunity to work with cutting-edge AI technologies, flexible working hours, remote working options, and a supportive and innovative team environment. Join us to work on enterprise-grade solutions and leverage the latest technologies to stay ahead in the global market while enjoying a healthy work-life balance in a 5-day workweek format. If you are passionate about AI/ML, eager to contribute to impactful projects, and thrive in a dynamic and collaborative work setting, we welcome you to apply for this full-time remote position with us.,

You are a highly experienced and technically proficient Manager/Sr. Manager seeking to lead a team of AI/ML engineers in Chennai (IITM). With 6-10 years of experience, you will drive the development of innovative solutions leveraging your expertise in Artificial Intelligence, Machine Learning, Python programming, and cloud platforms such as AWS/Azure, including hands-on experience in Scikit-learn and related tools. Your responsibilities will include leading the design, development, and deployment of AI/ML models and solutions, collaborating with cross-functional teams to define technical roadmaps and project goals, managing the end-to-end ML lifecycle from data preprocessing to model training, evaluation, deployment, and monitoring. You will ensure best practices in model versioning, reproducibility, and automation, provide technical leadership and mentorship to junior engineers and data scientists, stay updated with the latest research and trends in AI/ML, and recommend the adoption of relevant technologies. Working closely with stakeholders, you will translate business problems into AI/ML solutions, drive technical documentation, conduct code reviews, and ensure adherence to coding standards. Your mandatory skills include proficiency in Artificial Intelligence (AI) & Machine Learning (ML), Python programming, cloud platforms such as AWS and/or Azure, Scikit-learn and ML libraries, strong problem-solving and algorithmic skills, as well as excellent communication and leadership abilities. Preferred qualifications for this role include a degree in Computer Science, Data Science, or a related field, experience with deep learning frameworks like TensorFlow and PyTorch, familiarity with MLOps tools and practices, and exposure to deploying models in production environments using Docker/Kubernetes.,