116 Model Evaluation Jobs

Role Overview: You will be joining HCL Software as a Lead Python Developer with a focus on Data Science and AI/ML to contribute to the development of AI-driven Marketing Campaigns using the Unica+ Marketing Platform. Your role will involve leveraging your strong Python skills and experience in data science and machine learning to deliver precision and high-performance marketing campaigns across various channels. Key Responsibilities: - Proficient in Python programming with expertise in using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. - Strong understanding of statistical analysis and modeling, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. - Expertise in data cleaning and preprocessing, handling messy real-world data, dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. - Ability to query and manage data efficiently from relational databases using SQL, with familiarity with NoSQL databases being advantageous. - Skill in exploratory data analysis to visually and numerically explore datasets, identify patterns, anomalies, and relationships. - In-depth knowledge and practical experience with a wide range of machine learning algorithms such as linear models, tree-based models, SVMs, clustering algorithms, and dimensionality reduction techniques. - Proficiency with at least one major deep learning framework like TensorFlow or PyTorch, understanding neural network architectures, and their application to various problems. - Ability to select appropriate evaluation metrics and optimize models, diagnose performance issues, and apply optimization techniques. - Understanding of deployment and MLOps concepts, including deploying machine learning models into production environments, API creation, containerization, version control for models, and monitoring. Qualifications Required: - At least 8-12 years of Python development experience with 4 years in data science and machine learning. - Experience with Customer Data Platforms (CDP) like Treasure Data, Epsilon, Tealium, Adobe, Salesforce is advantageous. - Experience with AWS SageMaker is advantageous. - Proficiency in integration tools and frameworks like Postman, Swagger, API Gateways. - Knowledge of REST, JSON, XML, SOAP is essential. - Ability to work effectively within an agile team environment and apply related working methods. - Excellent communication and interpersonal skills. - A 4-year degree in Computer Science or IT is required. Company Details: HCL Software, a product development division of HCL Tech, delivers award-winning software solutions across AI, Automation, Data & Analytics, Security, and Cloud. The Unica+ Marketing Platform enables clients to deliver hyper-personalized marketing campaigns across multiple channels, emphasizing data and AI-first approaches for customer acquisition, product awareness, and retention. Note: The job involves approximately 30% travel and is based in India, with Pune being the preferred location. Compensation includes a base salary plus bonus.,

As an AI Engineer at YASH Technologies, you will play a crucial role in designing, developing, and deploying sophisticated machine learning models to solve complex business problems and drive impactful data-driven decisions. You will collaborate with cross-functional teams to deliver actionable insights and ensure the success of various projects. Key Responsibilities: - Build and deploy ML models for classification, regression, and clustering tasks. - Apply foundational GenAI concepts such as embeddings, summarization, and RAG. - Utilize APIs and tools like LangChain, vector databases (e.g., Pinecone, FAISS). - Prepare documentation and interpret results effectively. Qualifications Required: - Strong hands-on experience in Python, Scikit-learn, Pandas. - Proficiency in model evaluation, feature engineering, and model tuning. - Exposure to LangChain and vector databases. - Basic understanding of FastAPI or Flask. At YASH, you will have the opportunity to shape your career in an inclusive team environment. We believe in continuous learning and provide the support needed for your growth and development. Our workplace is built upon principles of flexibility, transparency, collaboration, and a positive corporate culture. Join us in bringing real positive changes in the virtual world and drive business transformation.,

Role Overview: The Data & Analytics team at the leading financial institution in MENA is responsible for integrating new data sources, creating data models, developing data dictionaries, and building machine learning models for Wholesale Bank. The primary objective is to design and deliver data products that assist squads at Wholesale Bank in achieving business outcomes and generating valuable business insights. Within this job family, there are two roles - Data Analysts and Data Scientists. Both roles involve working with data, writing queries, collaborating with engineering teams to source relevant data, performing data munging, and extracting meaningful insights from the data. Data Analysts typically work with structured SQL databases or other BI tools and packages, while Data Scientists are expected to develop statistical models and be hands-on with machine learning and advanced programming, including Generative AI. Key Responsibilities: - Extract and analyze data from company databases to optimize and enhance product development and marketing strategies. - Analyze large datasets to uncover trends, patterns, and insights influencing business decisions. - Utilize predictive and AI/ML modeling techniques to enhance customer experience, boost revenue generation, improve ad targeting, and more. - Design, implement, and optimize machine learning models for various applications such as predictive analytics, natural language processing, and recommendation systems. - Stay updated with the latest advancements in data science, machine learning, and artificial intelligence to bring innovative solutions to the team. - Communicate complex findings and model results effectively to both technical and non-technical stakeholders. - Implement advanced data augmentation, feature extraction, and data transformation techniques for optimizing the training process. - Deploy generative AI models into production environments ensuring scalability, efficiency, and reliability for real-time applications. - Use cloud platforms and containerization tools for model deployment and scaling. - Create interactive data applications using Streamlit for various stakeholders. - Conduct prompt engineering to optimize AI model performance and accuracy. - Continuously monitor, evaluate, and refine models to ensure performance and accuracy. - Conduct in-depth research on the latest advancements in generative AI techniques and apply them to real-world business problems. Qualification Required: - Bachelors, Masters or Ph.D in Engineering, Data Science, Mathematics, Statistics, or a related field. - 5+ years of experience in Advanced Analytics, Machine learning, Deep learning. - Proficiency in programming languages such as Python, and familiarity with machine learning libraries. - Experience with generative models such as GANs, VAEs, and transformer-based models. - Strong experience with data wrangling, cleaning, and transforming raw data. - Hands-on experience in developing, training, and deploying machine learning models. - Experience with cloud platforms for model deployment and scalability. - Proficiency in data processing and manipulation techniques. - Hands-on experience in building data applications using Streamlit or similar tools. - Advanced knowledge in prompt engineering, chain of thought processes, and AI agents. - Strong problem-solving skills and effective communication abilities to convey technical concepts. (Note: Any additional details of the company were not provided in the job description.),

ML Engineer (5+ years) Job type: Contract to hire Experience Range: 5+ years Work mode: In-office Location: Pune, Mumbai, Mohali, Bengaluru, Mangalore Notice: Immediate joiner/ Upto 15 days/ serving notice Key responsibilities: Designs, develops, and tests AI/ML models and solutions, adhering to established architecture and coding standards. Writes technical specifications and documentation. Conducts code reviews and provides constructive feedback to peers. Collaborates with other team members to integrate AI/ML models into the application. Optimize solutions for performance and scalability. Staying up-to-date with the latest advancements in AI/ML and related technical frameworks. Key skills: Machine Learning Algorithms, Python, GenAI frameworks,, Data Analysis, Feature Engineering, Model Evaluation, Code Review

As a Generative AI Developer, your role will involve designing, building, and deploying solutions powered by Large Language Models (LLMs), multimodal AI, and prompt engineering. You will collaborate closely with product and engineering teams to integrate GenAI capabilities into real-world applications such as chatbots, copilots, content generation, and intelligent automation. Key Responsibilities: - AI/ML Development: - Fine-tune and optimize LLMs (GPT, LLaMA, Claude, etc.) for specific business use cases. - Build and deploy GenAI-powered applications like chatbots, copilots, summarization, Q&A systems, and generative content. - Experiment with multimodal AI involving text, image, audio, and video. - Prompt Engineering & Orchestration: - Design effective prompts and workflows to maximize model performance. - Work with frameworks like LangChain, LlamaIndex, and Haystack for retrieval-augmented generation (RAG). - Backend & Integration: - Develop APIs and services to integrate GenAI models into existing platforms. - Connect AI with structured and unstructured data sources. - Cloud & Deployment: - Deploy models on AWS, Azure, or GCP (SageMaker, Vertex AI, Azure OpenAI). - Implement scalable and cost-efficient inference pipelines. - MLOps & Performance: - Monitor AI models in production including latency, accuracy, and hallucination rates. - Implement continuous training, evaluation, and improvement workflows. Required Skills & Qualifications: - Strong programming skills in Python (Node.js/Java is a plus). - Hands-on experience with GenAI/LLMs (OpenAI, Anthropic, Hugging Face, Cohere, Stability AI). - Familiarity with LangChain, LlamaIndex, and RAG pipelines. - Knowledge of NLP, embeddings, vector databases (Pinecone, Weaviate, Milvus, FAISS). - Experience with cloud platforms (AWS, Azure, GCP) and deployment of ML models. - Understanding of prompt design, fine-tuning, and model evaluation. - Solid grasp of APIs, microservices, and REST/GraphQL integrations. Preferred: - Experience with multimodal models (text-to-image, speech-to-text, etc.). - Exposure to containerization and orchestration (Docker, Kubernetes). - Knowledge of data privacy, security, and compliance in AI systems. - Prior work in AI-driven SaaS products. In this role, you will have the opportunity to contribute to cutting-edge projects in the field of Generative AI. If you have experience deploying applications or AI models on cloud platforms, familiarity with AI/ML frameworks, and working with CDN platforms for scaling applications, we encourage you to apply for this full-time position.,

As a Data Scientist Engineer, your role involves designing scalable machine learning architectures and implementing data science solutions for complex business problems. You will be responsible for key tasks such as model development, data preprocessing, model training, evaluation & optimization, model deployment, cross-functional collaboration, research & innovation, and documentation. Key Responsibilities: - Design and implement machine learning models to address business challenges effectively. - Clean, preprocess, and analyze large-scale datasets for extracting insights and engineering model features. - Train and fine-tune ML models using deep learning, regression, classification, and ensemble techniques. - Evaluate model performance and improve accuracy, efficiency, and scalability. - Deploy ML models into production environments; monitor and retrain models as needed. - Collaborate with engineers, data scientists, and stakeholders to integrate ML solutions. - Stay current with the latest trends in AI/ML and contribute to knowledge sharing. - Maintain thorough documentation of models, workflows, and processes. Qualifications: - Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field - 6-10 years of industry experience in data science, machine learning, or related domains Must-Have Skills: - Experience in Time Series Forecasting, Regression, and Classification models - Proficient in Python, R, and Data Analysis - Strong experience with Pandas, NumPy, Matplotlib for large data handling - Version control tools like Git - ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras - Exposure to Cloud Platforms: AWS / Azure / GCP - Experience with Docker and Kubernetes - Hands-on in Data Collection, Feature Engineering, Model Selection, Evaluation, and Deployment Good to Have: - Exposure to Big Data tools such as Hadoop, Spark - BFSI / Banking domain experience - Familiarity with additional AI/ML libraries and tools beyond the mentioned frameworks In addition to the technical skills required for the role, you should be open to working on a contractual or temporary basis with a contract length of 6 months. You may be based in Noida with the requirement of working from the office twice a week and flexibility for travel as needed.,

You will be working as an NLP & Generative AI Annotator, focusing on text data labeling, model evaluation, and prompt engineering to enhance the accuracy and effectiveness of Natural Language Processing (NLP) and Generative AI models. Your contributions will play a crucial role in improving AI applications such as chatbots, content generation, machine translation, summarization, and more. **Responsibilities:** - Annotate and label text data for various NLP tasks (entity recognition, sentiment analysis, summarization, etc.). - Evaluate AI-generated responses for relevance, accuracy, and coherence. - Design and refine prompts to enhance the performance of generative AI models (LLMs, chatbots, creative writing AI, etc.). - Analyze AI outputs and provide structured feedback to improve model accuracy. - Conduct quality assurance by reviewing and refining existing annotations and prompts. - Collaborate with AI researchers, data scientists, and engineers to enhance AI-generated text. - Apply critical thinking and linguistic expertise to resolve ambiguities while following detailed annotation guidelines. **Requirements:** - Fluency in English (written and spoken) with strong grammar, comprehension, and analytical skills. - Experience with generative AI models such as ChatGPT, Claude, Gemini, LLaMA, etc., and understanding of prompt engineering is preferred. - Critical thinking and problem-solving abilities to assess AI-generated content for accuracy and bias. - Prior experience in NLP annotation, content moderation, linguistics, or AI-related projects is a plus but not required. - Attention to detail to recognize and correct AI model inconsistencies. - Familiarity with annotation tools and interest in working with AI-driven platforms is preferred. - A Bachelor's degree in Linguistics, English, Literature, Communications, Computer Science, AI, or a related field is preferred.,

Role Overview: You will be working as a Spec Analytics Analyst (C11) in the TTS Analytics team at Citi. Your main responsibilities will include working on various analyses throughout the year to solve business problems related to client acquisition, engagement, client experience, and retention within the TTS business. You will be involved in data science and business analytics projects, developing machine learning models, and communicating insights and recommendations to stakeholders. Key Responsibilities: - Work on multiple analyses throughout the year on business problems across the client life cycle including acquisition, engagement, client experience, and retention for the TTS business - Design, develop, and deploy machine learning models to address business needs - Communicate insights and recommendations to stakeholders - Leverage various analytical approaches, tools, and techniques to provide data-driven insights and machine learning solutions Qualifications Required: - Bachelor's or Master's Degree with 5-8 years of experience in data science and analytics - Marketing analytics experience - Experience in sales/marketing strategy optimization, pricing optimization, client experience, cross-sell, and retention - Strong understanding of machine learning principles, model development methodologies, and deployment strategies - Hands-on knowledge of Data Science and Machine Learning, including supervised and unsupervised learning algorithms - Experience with time series models, unstructured data analysis using NLP/Text Mining techniques, and building machine learning pipelines - Proficient in PySpark, SQL (Python/R), Scikit-learn, TensorFlow, PyTorch, MS Excel, PowerPoint - Good to have experience with Tableau and Hive Company Details (if present): The TTS Analytics team at Citi provides analytical insights to various functions within the global Treasury & Trade Services business. They focus on driving acquisitions, cross-sell, revenue growth, and improvements in client experience by extracting relevant insights, identifying business opportunities, building predictive models, and designing go-to-market strategies for different business problems.,

**Job Description:** You are required to teach Applied AI/ML at Newton School, which includes designing and delivering practical, project-based courses in AI/ML such as Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, GenAI. Additionally, you will be responsible for developing industry-relevant curriculum, mentoring student projects, guiding and mentoring students on practical skills and career paths in AI/ML, staying updated on the latest AI/ML trends, collaborating with other industry-expert faculty, assessing practical skills, and creating assignments and assessments focused on practical application and understanding. **Key Responsibilities:** - Teach Applied AI/ML courses - Develop industry-relevant curriculum - Mentor student projects - Guide & mentor students - Stay current with AI/ML trends - Collaborate with faculty and staff - Assess practical skills **Required Qualifications & Experience:** - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, or similar field - Minimum 2-5 years of hands-on experience in the tech industry as an AI/ML Engineer, Data Scientist, Research Scientist, or similar role - Proven industry track record in building, training, and deploying machine learning models - Deep understanding of core ML algorithms, model evaluation, statistics, and current industry trends - Passion for teaching and mentoring - Experience in corporate training or mentoring **Required Skills:** - Expert-level Python programming - Proficiency in data science libraries (Pandas, NumPy, Scikit-learn) - Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch) - Strong SQL and data handling skills - Understanding of ML Ops practices and tools - Knowledge of key AI areas (NLP, Computer Vision, Generative AI/LLMs) - Excellent communication and mentoring skills - Team-oriented approach - Genuine interest in education and student success **Good-to-Have:** - Prior teaching experience - Familiarity with modern teaching methodologies **About Uplers:** Uplers aims to make hiring reliable, simple, and fast, supporting talents in finding and applying for relevant contractual onsite opportunities to progress in their careers. They offer a great work environment and opportunities for career advancement. If you are ready for a new challenge and want to take your career to the next level, apply today and explore the opportunities waiting for you!,

As a software engineer at Google, you will play a crucial role in developing cutting-edge technologies that impact billions of users worldwide. Google's products operate at an immense scale and cover a wide range of domains such as information retrieval, distributed computing, system design, networking, security, AI, NLP, UI/UX, and mobile technologies. Your work will involve tackling complex challenges and contributing to projects that are vital to Google's ongoing success. The Platforms and Devices team at Google is responsible for developing various software platforms, including desktop and mobile environments, applications, as well as Google's first-party devices and services. The team focuses on creating seamless and innovative experiences for users by leveraging Google's AI, software, and hardware technologies. As part of this team, you will engage in research, design, and development of new technologies to enhance user interactions with computing devices. Minimum qualifications for this role include a Bachelor's degree or equivalent practical experience, along with 5 years of software development experience in multiple programming languages. Additionally, you should have 3 years of experience in testing, maintaining, or launching software products, and at least 1 year of experience in software design and architecture. You should also possess 3 years of expertise in speech/audio technology, reinforcement learning, ML infrastructure, or other ML fields, as well as experience in ML infrastructure such as model deployment, evaluation, optimization, and data processing. Preferred qualifications consist of a Master's degree or PhD in Computer Science or a related technical field, 5 years of experience in data structures/algorithms, and at least 1 year of experience in a technical leadership role. Experience in developing accessible technologies is also valued in this role. Your responsibilities will involve writing and testing product development code, collaborating with peers and stakeholders to ensure best practices in design and coding, and implementing solutions in specialized ML areas. You will be expected to leverage ML infrastructure effectively and demonstrate expertise in your chosen field.,

As an intern at Venera Technologies, you will have the opportunity to work on various data science projects in the video analytics domain. Your day-to-day responsibilities will include understanding data requirements and implementing effective data solutions. You will be responsible for data generation and data sanitization for model training using various methods and tools. Additionally, you will be tasked with model evaluation and assisting the team in fine-tuning the model parameters using various metrics and techniques. Your role will also involve applying statistical techniques for data analysis to derive meaningful insights. Venera Technologies is a renowned video solutions company recognized for its innovative products and solutions worldwide. Our automated QC solutions, "Pulsar" and "Quasar", are utilized by leading broadcast, post-production, and media companies such as Disney, HBO, AMC Networks, NBC Universal, MLB Advanced Media, Telecom Italia, and Adstream. Furthermore, we have established partnerships with prominent technology firms including Aspera, Evertz, Netflix, and Telestream, who have seamlessly integrated with our products.,

You will be joining HCL Software, a Product Development Division of HCL Tech, where we deliver transformative software solutions to clients worldwide. Our focus areas include AI, Automation, Data & Analytics, Security, and Cloud. As a Lead Python Developer (Data Science, AI/ML) with over 8 years of experience, you will play a crucial role in developing AI-driven Marketing Campaigns using the HCL Unica+ Marketing Platform. This platform empowers clients to execute precise and high-performance marketing campaigns across various channels such as social media, AdTech platforms, mobile applications, and websites. To excel in this role, you should possess: - 8-12 years of Python Development Experience with at least 4 years dedicated to data science and machine learning. - Familiarity with Customer Data Platforms (CDP) like Treasure Data, Epsilon, Tealium, Adobe, Salesforce. - Experience with AWS SageMaker and Lang Chain, RAG for Generative AI would be advantageous. - Proficiency in integration tools like Postman, Swagger, API Gateways. - Strong knowledge of REST, JSON, XML, and SOAP. - Ability to work effectively in an agile team environment. - Excellent communication and interpersonal skills. - A 4-year degree in Computer Science or IT. Your responsibilities will include: - Proficient Python Programming & Libraries knowledge, particularly Pandas, NumPy, and Matplotlib/Seaborn. - Strong grasp of Statistical Analysis & Modelling concepts. - Expertise in Data Cleaning & Preprocessing techniques. - Proficiency in SQL & Database Management for efficient data querying. - Skill in Exploratory Data Analysis (EDA) to understand datasets. - In-depth understanding and practical experience with various Machine Learning Algorithms. - Proficiency with major Deep Learning Frameworks like TensorFlow or PyTorch. - Ability to evaluate models and optimize their performance. - Understanding of Deployment & MLOps Concepts for production environments. This role may require approximately 30% travel, and the preferred location is India (Pune). In addition to a competitive base salary, you will be eligible for bonuses based on performance.,

You should have a Bachelor's degree or equivalent practical experience along with 5 years of experience in software development using one or more programming languages. In addition, you should have 3 years of experience in testing, maintaining, or launching software products, and at least 1 year of experience in software design and architecture. Moreover, you should possess 3 years of experience in speech/audio technology, reinforcement learning, ML infrastructure, or specialization in another ML field. You are also expected to have 3 years of experience in ML infrastructure including model deployment, model evaluation, optimization, data processing, and debugging. Preferred qualifications for this role include a Master's degree or PhD in Computer Science or a related technical field, 5 years of experience with data structures and algorithms, 1 year of experience in a technical leadership role, and experience in developing accessible technologies. As a software engineer at Google, you will be involved in developing cutting-edge technologies that impact how billions of users connect and interact with information. The role requires working on projects critical to Google's needs, providing opportunities to switch teams and projects as the business evolves. Versatility, leadership qualities, and enthusiasm for tackling new challenges are essential qualities for this role. The Platforms and Devices team at Google focuses on various computing software platforms and first-party devices and services. The team is responsible for researching, designing, and developing new technologies to enhance user interactions with computing across different environments. Your responsibilities will include building comprehensive ML-driven evaluations for AI systems, developing infrastructure and tooling to support evaluations across platforms and devices, creating ML-based auto raters, enhancing datasets, and leveraging Software Engineer Agents to automate evaluation processes.,

We are seeking a highly motivated AI Engineer with a solid background in artificial intelligence and practical experience in developing AI-driven products. As an AI Engineer, you will play a key role in the design, development, and deployment of AI models and solutions that enhance our range of products and services. This position is particularly well-suited for recent graduates who have gained hands-on experience through internships, academic projects, or previous roles in the AI field. Your responsibilities will include designing, optimizing, and implementing machine learning (ML) and deep learning (DL) models to enhance AI-powered applications. You will collaborate closely with data scientists and software engineers to gather, preprocess, and analyze large datasets for AI training and inference. Additionally, you will be involved in fine-tuning AI algorithms for various tasks such as natural language processing (NLP), computer vision, recommendation systems, and predictive analytics. Ensuring the scalability, efficiency, and reliability of AI models in production environments will be a critical aspect of your role. You will work collaboratively with cross-functional teams to seamlessly integrate AI solutions into our products and business processes. Staying abreast of the latest advancements in AI, ML, and deep learning will be essential, and you will be expected to write clean, efficient, and well-documented code using Python, LangChain, or other AI frameworks. Your involvement in model evaluation and consultation with other teams to assist the CEO of the unit will be pivotal in driving the success of our AI initiatives. Requirements: - Bachelor's or Master's degree in Artificial Intelligence, Data Science, or equivalent experience of at least 5 years. - Proficiency in Python and familiarity with SQL and JavaScript. - Experience with Agentic AI. - Knowledge of cloud platforms such as AWS, Azure, Google Cloud, and MLOps tools. - Understanding of data structures, algorithms, and software engineering principles, including prototyping. - Hands-on experience with data preprocessing, feature engineering, and model evaluation techniques. - Strong problem-solving skills and the ability to thrive in a fast-paced, collaborative environment. - Excellent communication skills to effectively convey technical concepts to non-technical stakeholders. - Familiarity with LLMs and tools like openAI, Deepseek for AI applications. - Experience in building presentations and consulting. Preferred Qualifications: - Practical experience with real-world AI applications, whether through internships, research, or personal projects. - Familiarity with version control systems (Git), CI/CD pipelines, and containerization (Docker, Kubernetes). What We Offer: - Competitive Salary and Bonus to acknowledge your expertise and contributions. - Hybrid work environment allowing for a mix of remote work and in-office collaboration. - Inclusive Onboarding Experience tailored to set you up for success from day one. - Marcura Wellness Zone to support your work-life balance and overall well-being. - Global Opportunities within our ambitious and expanding company. - Monthly Performance Support through our modern performance management framework. - Diverse, Supportive Work Culture committed to inclusion, diversity, and belonging for all team members. If you are passionate about AI and excited to apply your skills to real-world maritime challenges, we encourage you to apply and join our innovative AI team. Your expertise and dedication will play a crucial role in shaping the future of our AI-driven products and services.,

As a Senior Developer for GenAI Applications, your primary focus will be on coding, developing, and implementing GenAI applications using fine-tuned Large Language Models (LLMs) and Small Language Models (SLMs). In this role, you will utilize your hands-on expertise in open-source frameworks, libraries, and cloud tools to prototype and demonstrate innovative GenAI solutions under the guidance of senior team members. Your contributions will be essential in delivering high-quality, scalable, and cutting-edge applications. Responsibilities: - Write clean, efficient, and maintainable code for GenAI applications using Python and various open-source frameworks such as autogen and crew.ai. - Fine-tune LLMs and SLMs using techniques like PEFT, LoRA, and QLoRA to cater to specific use cases. - Collaborate with frameworks like Hugging Face, LangChain, LlamaIndex, and others to develop GenAI solutions. - Deploy and manage GenAI models and applications on cloud platforms such as Azure, GCP, and AWS. - Quickly prototype and demonstrate GenAI applications to showcase capabilities and gather feedback. - Build and maintain data preprocessing pipelines for training and fine-tuning models. - Integrate REST, SOAP, and other APIs for data ingestion, processing, and output delivery. - Evaluate model performance using metrics and benchmarks, and continuously iterate to enhance results. - Develop solutions for Optical Character Recognition (OCR) and document intelligence using open-source and cloud-based tools. - Collaborate with front-end developers to integrate GenAI capabilities into user-friendly interfaces using tools like Streamlit or React. - Utilize Git and other version control systems to manage code and collaborate effectively with team members. - Create clear and concise technical documentation for code, models, and processes. - Work closely with data scientists, engineers, and product managers to deliver impactful solutions. - Stay updated with the latest advancements in GenAI, open-source tools, and cloud technologies for continuous learning and growth. - Identify and resolve bugs, optimize code, and enhance application performance through debugging and optimization techniques. Required Skills: - Strong proficiency in Python programming, specifically in CORE Python OOP for developing GenAI applications. - Hands-on experience with fine-tuning techniques such as PEFT, LoRA, and QLoRA. - Expertise in working with open-source frameworks like Hugging Face, LangChain, LlamaIndex, and other libraries. - Familiarity with cloud platforms like Azure, GCP, and AWS for deploying and managing GenAI models. - Skills in building and maintaining data preprocessing pipelines. - Experience in API integration using protocols like REST, SOAP, and others. - Knowledge of metrics and benchmarks for evaluating model performance. - Proficiency in OCR and document intelligence using open-source and cloud tools. - Basic knowledge of front-end tools like Streamlit, React, or JavaScript for UI integration. - Proficiency in Git and version control best practices. - Ability to create clear and concise technical documentation. - Strong analytical and problem-solving skills for debugging and optimizing code. - Excellent teamwork and communication skills for effective collaboration in cross-functional teams. - Ability to quickly prototype and demonstrate GenAI applications with a growth mindset for continuous learning and staying updated with the latest GenAI trends and technologies.,

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with data structures or algorithms. Experience developing accessible technologies. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,) Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

You are a highly skilled and innovative Data Scientist who is passionate about advancing the fields of Classical Machine Learning, Conversational AI, and Deep Learning Systems. Your role involves developing cutting-edge AI-based systems and translating complex mathematical challenges into actionable machine learning models to ensure seamless and engaging user experiences. You will be actively participating in a wide variety of Natural Language Processing (NLP) tasks, refining and optimizing prompts to enhance the performance of Large Language Models (LLMs) such as GPT, BERT, and T5. Your key responsibilities include: - Developing innovative Generative AI solutions using machine learning and AI technologies - Designing and developing machine learning models to address complex business challenges - Training, fine-tuning, and deploying deep learning models to solve AI problems - Participating in NLP activities and optimizing prompts for LLMs - Working with large datasets, performing data preprocessing, augmentation, and feature engineering - Fine-tuning models through hyperparameter optimization and monitoring model performance - Participating in code and design reviews to ensure quality and scalability - Collaborating with cross-functional teams to integrate machine learning solutions into production - Staying up to date with the latest AI/ML trends and research Qualifications required: - Bachelors or Masters degree in Computer Science, Mathematics, Statistics, Data Science, or related field - Extensive experience in classical machine learning and deep learning systems - Proven experience in NLP, especially with LLMs like GPT, BERT, or T5 - Proficiency in Python and relevant libraries - Strong understanding of statistical modeling, probability theory, and mathematical optimization techniques - Experience with deploying machine learning models into production environments - Experience in code review, design optimization, and ensuring quality in AI/ML systems Soft skills and behavioral qualifications: - Must be a good team player and self-motivated - Excellent communication skills in English - Strong presentation skills with attention to detail - Strong aptitude for learning new techniques - Takes ownership for responsibilities - Demonstrates reliability, integrity, and trustworthiness - Ability to manage time effectively and meet/exceed deadlines Job Type: Full-time, Permanent Benefits: Health insurance, Life insurance, Paid sick time, Paid time off, Provident Fund Schedule: Day shift, Monday to Friday Performance bonus, Yearly bonus Application Question: How soon can you join Experience: Data science - 3 years (Required) Location: Jaipur, Rajasthan (Preferred) Work Location: In person,

Micoworks is a company dedicated to empowering brands for a better future, with a clear vision and core values driving its mission. By 2030, Micoworks aims to become the leading Brand Empowerment Company in Asia. To achieve this goal, Micoworks emphasizes four key values: WOW THE CUSTOMER, SMART SPEED, OPEN MIND, and ALL FOR ONE. These values underscore the company's commitment to empowering brands, working with agility, and prioritizing customer success through innovation. As an Agentic AI Intern at Micoworks, you will collaborate with a team of engineers, data scientists, and researchers to develop, implement, and optimize AI models and applications. This role offers hands-on experience in AI and machine learning, exposing you to real-world problem-solving scenarios in an office setting. Your responsibilities will include developing and training AI models, working with large datasets for analysis, optimizing AI algorithms, collaborating with cross-functional teams, and contributing to the deployment of AI models under senior team members" supervision. Additionally, you will engage in code reviews, stay updated on AI trends, and assist in enhancing AI tools and applications for business use cases. Desired skills and qualifications for this role include pursuing or recently completing a degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proficiency in programming languages like Python, R, or Java, along with familiarity with machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn, is essential. Strong analytical skills, knowledge of statistical methods, and the ability to work collaboratively in a team environment are also crucial. Good communication skills are required to effectively convey technical concepts. It would be advantageous to have prior internship experience or personal projects related to AI/ML, knowledge of cloud platforms like AWS, Google Cloud, or Azure, and experience with Natural Language Processing (NLP) or Computer Vision (CV). Join Micoworks to gain hands-on experience with cutting-edge AI technologies, receive mentorship from industry experts, and work on real-world AI projects that directly impact business outcomes. You will have the opportunity to thrive in a collaborative, innovative work environment with a flexible, inclusive, and growth-oriented culture.,

As an AI/ML Engineer specializing in open-source Large Language Models (LLMs) for the Banking, Financial Services, and Insurance (BFSI) domain, your primary responsibility will be to design, develop, and deploy LLMs that enhance customer interaction, operational efficiency, and data-driven decision-making. In this role, you will collaborate closely with cross-functional teams to create innovative AI solutions for the BFSI sector. Your key responsibilities will include developing and implementing open-source LLMs tailored for BFSI applications, working with product managers, data scientists, and software engineers to define use cases and deliver high-quality solutions, conducting experiments and optimizing models using real-world datasets, monitoring LLM performance in production environments, and refining models based on feedback and usage data. You will also be responsible for ensuring adherence to security, compliance, and scalability standards, staying updated with AI/ML advancements, contributing to best practices, and documenting models, workflows, and methodologies in detail. To qualify for this role, you should possess a Bachelor's degree in Computer Science, Engineering, or a related technical field, along with a minimum of 2 years of hands-on AI/ML development experience, preferably in the BFSI industry. You must have a proven track record of building and deploying AI/ML solutions to production, strong programming skills in Python or Java, proficiency in open-source ML frameworks like TensorFlow or PyTorch, industry experience with open-source LLM ecosystems, and a solid understanding of machine learning algorithms, data structures, and statistical methods. Additionally, experience in data preprocessing, feature engineering, and model evaluation, along with strong analytical thinking, problem-solving abilities, and excellent communication skills are essential for this role. The interview process for this position will consist of a Technical Interview conducted by a Senior AI Engineer, followed by a Technical/Product Interview conducted by a Senior Product & Tech Lead. Remember, coding skills will be assessed during the interviews, and the use of AI agents or search engines is strictly prohibited. If you are passionate about AI/ML, have a strong technical background, and are looking to make a significant impact in the BFSI sector through innovative AI solutions, we encourage you to apply for this exciting opportunity.,

NewCold is a service provider in cold chain logistics with a focus on the development and operation of large, highly automated cold stores. We strive to play a crucial role in the cold chain of leading food companies by offering advanced logistic services worldwide. As one of the fastest-growing companies in the cold chain logistics industry, with over 2,000 employees, we are expanding our teams to support this growth. We utilize the latest technology to empower individuals to handle food responsibly and ensure food safety in a sustainable manner. Challenging the industry norms, we believe in forming long-term partnerships and delivering solid investment opportunities that pave the way for next-generation logistic solutions. With in-house expertise in designing, engineering, developing, and operating state-of-the-art automated cold stores, we have successfully executed projects across three continents. As we anticipate numerous new construction projects globally in the near future, this vacancy presents an exciting opportunity to be part of an internationally growing and ambitious organization. **Job Title:** AI Associate-Computer Vision **Location:** Bengaluru **Experience:** 1-2 Years **Compensation:** Up to 15 Lakhs PA **Position:** AI Associate - Computer Vision We are seeking a passionate and hands-on AI Associate (Computer Vision) to join our AI team. In this role, you will work on real-world applications using live video feeds and image data to develop intelligent visual systems that address significant challenges across logistics, operations, and automation. **Your Role:** This position offers an excellent opportunity for individuals looking to enhance their expertise in computer vision while contributing to the development of production-grade systems with tangible business impacts. **What You'll Do:** - Develop and train computer vision models for tasks such as object detection, tracking, OCR, and image classification. - Utilize tools like YOLO, OpenCV, and Detectron2 to address visual automation challenges. - Integrate vision models with real-time video streams (RTSP) or batch-based pipelines. - Prepare and annotate image/video datasets using modern data labeling tools. - Collaborate closely with data engineers and software developers to deploy models at scale using APIs or edge systems. - Monitor and fine-tune model performance based on live deployment feedback. - Document training approaches, data pipeline steps, and model behavior to facilitate continuous improvement. **What We're Looking For:** - B.Tech / M.Tech in Computer Science, Electrical Engineering, or a related field. - 1-2 years of experience in building computer vision solutions. - Strong Python skills and experience with at least one deep learning framework (e.g., PyTorch, TensorFlow). - Familiarity with image/video preprocessing, model evaluation, and optimization techniques. - Experience working with live video feeds or edge inference pipelines is advantageous. - Knowledge of version control (Git) and exposure to deploying models on cloud platforms (Azure preferred). **Nice to Have:** - Experience with ONNX, model quantization, or edge deployment tools. - Exposure to CV data labeling platforms like CVAT, Label Studio, or SuperAnnotate. - Understanding of MLOps practices for model packaging, versioning, and monitoring.,

As a part of Arrk Group India, a technology company with over 23 years of industry experience specializing in developing scalable platforms to meet customer needs, we are currently looking to hire an AI Data Analyst at the Tech Lead Level. The ideal candidate should have a minimum of 8 years of professional experience, including leadership in tech projects. Location: Mahape, Navi Mumbai (Hybrid Work from Office) Role Overview: As an experienced AI Data Analyst, you will be working on cutting-edge AI solutions, focusing on areas such as Python, Machine Learning, AI APIs, and Large Language Models (LLMs). Your responsibilities will include performing data exploration, profiling, and cleaning of large datasets, designing, building, and evaluating ML and AI models, and leveraging LLM APIs, foundation models, and vector databases to deliver AI-driven insights. Additionally, you will collaborate with cross-functional teams to scale AI solutions. Experience Must Include: - 2+ years of hands-on experience as a Data Analyst - 1+ year of practical experience with AI systems (LLMs, AI APIs, or vector-based search) - 2+ years of experience working with Machine Learning models/solutions - 5+ years of hands-on Python programming - Exposure to vector databases (e.g., pgvector, ChromaDB) is a plus Key Responsibilities: - Perform data exploration, profiling, and cleaning of large datasets - Design, build, and evaluate ML and AI models to solve real-world problems - Leverage LLM APIs, foundation models, and vector databases to deliver AI-driven insights - Build end-to-end ML pipelines from preprocessing to deployment - Create dashboards and visualizations for reporting and analysis - Analyze model outputs and provide actionable insights to stakeholders - Collaborate with engineering, product, and business teams to scale AI solutions Required Technical Skills: - Data Analysis, Experience with real-world datasets, EDA, and data wrangling - Visualization using Pandas, Seaborn, Plotly - Machine Learning & AI, Practical experience in classification, regression, clustering techniques - Programming & Tools, Proficiency in Python (5+ years), with strong use of scikit-learn, NumPy, Pandas Nice to Have: - Experience with Scrapy, SpaCy, or OpenCV - Knowledge of MLOps, model deployment, CI/CD pipelines - Familiarity with PyTorch or TensorFlow Soft Skills: - Strong analytical thinking and problem-solving abilities - Excellent verbal and written communication - Self-motivated, proactive, and a great team player To Apply: Send your resume to [Insert Email] or apply via kajal.uklekar@arrkgroup.com Let's shape the future of AI together!,

As a Lead Machine Learning Engineer at Ramboll Tech, you will play a pivotal role in creating cutting-edge AI solutions while nurturing a collaborative and growth-oriented culture. In this position, you will work closely with product owners, Chapter leads, and global ML Engineers to define technical roadmaps, implement best practices, and deliver impactful AI solutions. Your responsibilities will include defining architectural patterns for scalable LLM pipelines, integrating external knowledge bases, researching and developing effective RAG architectures, exploring state-of-the-art LLMs, evaluating and optimizing models, and driving continuous improvement through experimentation. Additionally, you will establish coding standards, mentor ML engineers, and ensure the success of ML-Ops for your Pod. To excel in this role, you should possess a Bachelor's or Master's degree in Computer Science or a related field, along with a minimum of 5 years of experience in implementing machine learning projects. Strong leadership skills, expertise in LLM and RAG architectures, proficiency in modern Transformer-based LLMs, and experience with programming tools like Python, PyTorch, TensorFlow, and deployment tools such as Docker and Kubernetes are essential. At Ramboll Tech, our team culture values curiosity, optimism, ambition, and empathy. We prioritize open communication, collaboration, and continuous learning, while fostering diversity and inclusivity within our workplace. As part of a global architecture, engineering, and consultancy firm, we are committed to sustainability, innovation, and creating a livable world where individuals can thrive in harmony with nature. If you are passionate about driving innovation, leading technical projects, and contributing to a dynamic team environment, we encourage you to apply for this role. Submit your CV and a cover letter through our application tool to begin the conversation about joining our team at Ramboll Tech. For any inquiries or requests regarding the application process, please contact us at [email protected],

As an AI Software Lead with 7-10 years of relevant experience, you will be responsible for designing, developing, and deploying scalable AI solutions with a focus on MLOps best practices. Your expertise will lie in AI model engineering, encompassing training and fine-tuning large language models (LLMs) and other deep learning architectures, as well as model optimization, quantization, and deployment to ensure optimal latency and throughput. Additionally, you will be involved in model evaluation and monitoring in production environments. Your role will also involve building and integrating AI capabilities such as computer vision, NLP, and recommendation systems into production-grade Web/Mobile App software. Experience in scaling AI systems for high-volume, real-time applications using Cloud-Native or Edge-AI technologies will be crucial for ensuring scalability and performance. A strong understanding of data pipelines and feature engineering for AI applications will be essential for data-driven development, enabling you to leverage data effectively in the development of AI solutions.,

Role: AI/ML Engineer Location: Ambattur, Chennai(Onsite) Fulltime Position Job Summary: We are looking for an AI/ML Engineer to Lead, develop, optimize, and deploy machine learning models for real-world applications. You will work on end-to-end ML pipelines , collaborate with cross-functional teams, and apply AI techniques such as NLP, Computer Vision, and Time-Series Forecasting . This role offers opportunities to work on cutting-edge AI solutions while growing your expertise in model deployment and optimization. Key Responsibilities: Design, build, and optimize machine learning models for various business applications. Develop and maintain ML pipelines , including data preprocessing, feature engineering, and model training. Work with TensorFlow, PyTorch, Scikit-learn, and Keras for model development. Deploy ML models in cloud environments (AWS, Azure, GCP) and work with Docker/Kubernetes for containerization. Perform model evaluation, hyperparameter tuning, and performance optimization . Collaborate with data scientists, engineers, and product teams to deliver AI-driven solutions. Stay up to date with the latest advancements in AI/ML and implement best practices. Write clean, scalable, and well-documented code in Python or R. Technical Skills: Programming Languages: Proficiency in languages like Python. Python is particularly popular for developing ML models and AI algorithms due to its simplicity and extensive libraries like NumPy, Pandas, and Scikit-learn. Machine Learning Algorithms: Should have a deep understanding of supervised learning (linear regression, decision trees, SVM), unsupervised learning, and reinforcement learning. Data Management and Analysis: Skills in data cleaning, feature engineering, and data transformation are crucial. Deep Learning: Familiarity with neural networks, CNNs, RNNs, and other architectures is important. Machine Learning Frameworks and Libraries: Experience with TensorFlow, PyTorch, Keras, or Scikit-learn is valuable. Natural Language Processing (NLP): Familiarity with NLP techniques like word2vec, sentiment analysis, and summarization can be beneficial. Cloud Computing: Experience with cloud-based services like AWS SageMaker, Google Cloud AI Platform, or Microsoft Azure Machine Learning. Data Preprocessing: Skills in handling missing data, data normalization, feature scaling, and data transformation. Feature Engineering: Ability to create new features from existing data to improve model performance. Data Visualization: Familiarity with visualization tools like Matplotlib, Seaborn, Plotly, or Tableau. Containerization: Knowledge of containerization tools like Docker and Kubernetes. Databases : Understanding of relational databases (e.g., MySQL) and NoSQL databases (e.g., MongoDB). Data Warehousing: Familiarity with data warehousing concepts and tools like Amazon Redshift or Google BigQuery. Computer Vision: Understanding of computer vision concepts and techniques like object detection, segmentation, and image classification.

You are part of a team of 10 experts in meteorology, agronomy, data science, and pedology. The Product & Innovation team at Weenat is looking to expand its workforce with a data scientist profile. If you are seeking an engaging role in a dynamic team and are willing to contribute your talents to a project that enhances the daily lives of farmers, hesitate no more, and join the team! As a Data Scientist Junior at Weenat, your role involves participating in the development of R&D projects and the continuous improvement of our data products. Being part of the Data Science group, your missions will include: - Enhancing the quality of our data, data products, and services. - Developing new algorithms for processing environmental data (meteorological, agronomic, etc.), building agronomically relevant parameters using machine learning methods, and evaluating model performance. - Assessing various data sources through comparison with reference products. - Contributing to project R&D progress reports. - Addressing statistical, figure, and mapping needs of other Weenat teams. - Conducting various agroclimatic studies for our partners. Desired Profile: - Bachelor's degree in Data Science (equivalent to Engineer/Master's). - At least 1 year of experience in data science (internship/apprenticeship included). - Skills in data analysis, spatial statistics, time series, mapping, machine learning methods, and model evaluation. - Proficiency in Python programming, mastery of data analysis, machine learning libraries, and the creation of maps and graphics. - Teamwork in a multidisciplinary environment, teaching abilities to guide students, good English comprehension. - Curiosity in meteorology, agronomy, and/or pedology is a plus. Your greatest strength lies in your motivation and eagerness to invest in the Weenat project! Job Details: - Permanent position, full-time, immediately available. - Location: Nantes or Clermont-Ferrand. How to Apply: Send your CV + cover letter to jointheteam@weenat.com with "DATASCIENTIST JUNIOR" in the subject line of your application or fill out the form on the website.,