17 Hyperparameter Tuning Jobs

As a Senior Data Scientist, you will utilize your expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services to design, develop, and deploy advanced AI/ML models. Your role will involve solving complex business problems by building, training, and optimizing AI models using Python and relevant ML frameworks. You will implement Azure AI/ML services for scalable deployment and integrate APIs for real-time model inference. Working with large-scale data, you will extract insights to drive strategic initiatives and collaborate with cross-functional teams to integrate AI/ML solutions into applications. Your responsibilities will include designing and developing ML, NLP, and GenAI models, implementing Azure AI/ML services, developing APIs for model deployment, and working with large-scale data to extract insights. You will collaborate with cross-functional teams, implement CI/CD pipelines, ensure adherence to software engineering best practices, stay updated on AI/ML advancements, conduct research on emerging trends, provide technical mentorship, and optimize model performance in a production environment. To excel in this role, you must have proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn, hands-on experience in NLP techniques, expertise in Generative AI models, knowledge of Azure AI/ML services, and experience in developing APIs for model deployment. Familiarity with CI/CD pipelines, software engineering principles, Agile methodologies, statistical analysis, data mining, and data visualization is essential. Preferred qualifications include experience in MLOps, knowledge of vector databases, and exposure to big data processing frameworks. Joining our team as a Senior Data Scientist will offer you a full-time or part-time permanent position with benefits such as health insurance and provident fund. You will work day shifts from Monday to Friday with weekend availability and have the opportunity for performance bonuses. With a minimum of 8 years of experience in Python, Azure AI/ML services, and Senior Data Scientist roles, you will contribute to innovative solutions and drive data-driven decision-making in a collaborative environment.,

We are looking for a highly skilled and experienced Senior Python & ML Engineer with expertise in PySpark, machine learning, and large language models (LLMs). You will play a key role in designing, developing, and implementing scalable data pipelines, machine learning models, and LLM-powered applications. In this role, you will need to have a solid understanding of Python's ecosystem, distributed computing using PySpark, and practical experience in AI optimization. Your responsibilities will include designing and maintaining robust data pipelines with PySpark, optimizing PySpark jobs for efficiency on large datasets, and ensuring data integrity throughout the pipeline. You will also be involved in developing, training, and deploying machine learning models using key ML libraries such as scikit-learn, TensorFlow, and PyTorch. Tasks will include feature engineering, model selection, hyperparameter tuning, and integrating ML models into production systems for scalability and reliability. Additionally, you will research, experiment with, and integrate state-of-the-art Large Language Models (LLMs) into applications. This will involve developing solutions that leverage LLMs for tasks like natural language understanding, text generation, summarization, and question answering. You will also fine-tune pre-trained LLMs for specific business needs and datasets, and explore techniques for prompt engineering, RAG (Retrieval Augmented Generation), and LLM evaluation. Collaboration is key in this role, as you will work closely with data scientists, engineers, and product managers to understand requirements and translate them into technical solutions. You will mentor junior team members, contribute to best practices for code quality, testing, and deployment, and stay updated on the latest advancements in Python, PySpark, ML, and LLMs. Furthermore, you will be responsible for deploying, monitoring, and maintaining models and applications in production environments using MLOps principles. Troubleshooting and resolving issues related to data pipelines, ML models, and LLM applications will also be part of your responsibilities. To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Strong proficiency in Python programming, PySpark, machine learning, and LLMs is essential. Experience with cloud platforms like AWS, Azure, or GCP is preferred, along with strong problem-solving, analytical, communication, and teamwork skills. Nice-to-have skills include familiarity with R and Shiny, streaming data technologies, containerization technologies, MLOps tools, graph databases, and contributions to open-source projects.,

Job Title: AI/ML Engineer Python Experience Required: 4 to 5 Years Location: Office Job Type: Full-Time Job Summary: We are looking for a talented and experienced AI/ML Engineer with strong proficiency in Python to join our team. The ideal candidate will have 45 years of hands-on experience in developing machine learning models, implementing AI solutions, and deploying them into production environments. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models using Python. Work with large datasets to perform data cleaning, preprocessing, and feature engineering . Collaborate with cross-functional teams to define use cases, build prototypes, and deliver scalable ML solutions. Evaluate and tune model performance using techniques like cross-validation , hyperparameter tuning , etc. Use libraries like scikit-learn, TensorFlow, Keras, PyTorch, Pandas, NumPy , and OpenCV . Deploy ML models using APIs, Docker, cloud platforms (AWS, GCP, Azure) , or MLOps pipelines. Stay updated on the latest AI/ML research and apply relevant innovations to solve business problems. Document model workflows, performance metrics, and code for reproducibility and compliance. Required Skills & Qualifications: Bachelor&aposs/Masters degree in Computer Science, Artificial Intelligence, Data Science , or related field. 45 years of experience in AI/ML development using Python . Solid understanding of ML algorithms (classification, regression, clustering, NLP, computer vision). Experience with model deployment and productionizing AI solutions . Familiarity with cloud platforms (AWS Sagemaker, Azure ML, or GCP AI Platform) is a plus. Strong analytical, problem-solving, and programming skills. Ability to interpret business needs and translate them into technical solutions. Preferred Tools & Frameworks: Python , scikit-learn , TensorFlow , Keras , PyTorch Pandas , NumPy , Matplotlib , Seaborn Flask/FastAPI for deploying models MLflow , Docker , Git , Jupyter Notebooks Exposure to NLP , Computer Vision , or Reinforcement Learning is a plus Certifications (Optional but Preferred): TensorFlow Developer Certificate AWS Certified Machine Learning Specialty Google Professional ML Engineer Microsoft Certified: Azure AI Engineer Associate Show more Show less

We are a brand new Automotive Technology Start-up dedicated to developing driver safety systems tailored for Indian conditions. Our focus is on equipping riders and drivers with advanced rider assistance systems and affordable obstacle-avoidance automotive systems. Leveraging cutting-edge technologies such as Computer Vision, AI/ML, Big Data, Sensor Fusion, Embedded Systems, and IOT, we aim to create smart assistance systems that enhance safety on the road. Our current suite of products includes innovative solutions like the Front Collision Warning System (FCWS), Sleep Driver Alert System, Driver Monitoring System, and Driver Evaluation and Authentication. These products are designed to address critical safety issues and improve the overall driving experience. The Start-up is strongly supported by a $500Mn Group, a prominent automotive systems manufacturer serving global OEMs. With 29 manufacturing facilities spread across 7 states in India and a workforce exceeding 15,000 employees, the Group brings valuable expertise and resources to our venture. We are looking for a skilled AI/ML Engineer to join our early-stage start-up and contribute to the development of our rider safety product. As an AI/ML Engineer, you will be responsible for designing, developing, and integrating computer vision algorithms that play a crucial role in capturing and analyzing the surroundings to provide effective alerts for riders. In this role, you will: - Develop state-of-the-art CNN based computer vision object detectors and classifiers for real-time detection of road objects - Design and implement data ingestion, annotation, and model training pipelines to handle large volumes of video data and images - Create model visualizations, conduct hyperparameter tuning, and leverage data-driven insights to enhance model performance - Optimize models for efficient inference times and deploy them on low-power embedded IoT ARM CPUs - Establish CI/CD tests to evaluate multiple models on the test set effectively The ideal candidate should possess: - A BS or MS degree in Computer Science or Engineering from reputable educational institutions - Experience in building deep-learning object detectors for Computer Vision Applications - Proficiency in popular CNN architectures such as AlexNet, Google Lenet, MobileNet, Darknet, YOLO, SSD, and Resnet - Hands-on experience with libraries and frameworks like Caffe, Tensorflow, Keras, PyTorch, OpenCV, ARM Compute Library, and OpenCL - Knowledge of Transfer Learning and training models with limited data - Strong programming skills in Modern C++14 or above, Python, along with solid understanding of data structures and algorithms - Familiarity with working on small embedded computers, hardware peripherals, Docker Containers, and Linux-flavored operating systems To excel in this role, you can stand out by having: - Prior experience in product development within an early-stage start-up environment - Expertise in deploying scalable ML models for Android/IOS platforms - Noteworthy contributions to Open Source projects or achievements in coding Hackathons - Passion for Raspberry Pi and ARM CPUs - Keen interest in the field of Autonomous Driving Join us in our mission to revolutionize driver safety through innovative technology solutions tailored for Indian roads.,

As a Senior Specialist in Software Development (Artificial Intelligence) at Accelya, you will lead the design, development, and implementation of AI and machine learning solutions to tackle complex business challenges. Your expertise in AI algorithms, model development, and software engineering best practices will be crucial in working with cross-functional teams to deliver intelligent systems that optimize business operations and decision-making. Your responsibilities will include designing and developing AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. You will lead the implementation of advanced algorithms for supervised and unsupervised learning, reinforcement learning, and computer vision. Additionally, you will develop scalable AI models, integrate them into software applications, and build APIs and microservices for deployment in cloud environments or on-premise systems. Collaboration with data scientists and data engineers will be essential in gathering, preprocessing, and analyzing large datasets. You will also implement feature engineering techniques to enhance the accuracy and performance of machine learning models. Regular evaluation of AI models using performance metrics and fine-tuning them for optimal accuracy will be part of your role. Furthermore, you will collaborate with business stakeholders to identify AI adoption opportunities, provide technical leadership and mentorship to junior team members, and stay updated with the latest AI trends and research to introduce innovative techniques to the team. Ensuring ethical compliance, security, and continuous improvement of AI systems will also be key aspects of your role. You should hold a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field, along with at least 5 years of experience in software development focusing on AI and machine learning. Proficiency in AI frameworks and libraries, programming languages such as Python, R, or Java, and cloud platforms for deploying AI models is required. Familiarity with Agile methodologies, data structures, and databases is essential. Preferred qualifications include a Master's or PhD in Artificial Intelligence or Machine Learning, experience with NLP techniques and computer vision technologies, and certifications in AI/ML or cloud platforms. Accelya is looking for individuals who are passionate about shaping the future of the air transport industry through innovative AI solutions. If you are ready to contribute your expertise and drive continuous improvement in AI systems, this role offers you the opportunity to make a significant impact in the industry.,

We are looking for a highly motivated and experienced data scientist to lead our team of Gen-Ai Engineers. As a data scientist, you will oversee all processes from data extraction, cleaning, and pre-processing to training models and deploying them to production. The ideal candidate will have a strong passion for artificial intelligence and will stay updated with the latest advancements in this field. Your responsibilities will include utilizing frameworks like Langchain to develop scalable AI solutions, integrating vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities, and collaborating with cross-functional teams to define problem statements and prototype solutions using generative AI. It will also involve ensuring the robustness, scalability, and reliability of AI systems by implementing best practices in machine learning and software development. You will be required to explore and visualize data to gain insights, identify differences in data distribution that could impact model performance in real-world deployment, verify and ensure data quality through data cleaning, supervise the data acquisition process if additional data is needed, find and utilize available datasets for training, define validation strategies, feature engineering, and data augmentation pipelines, train models, tune hyperparameters, analyze model errors, and devise strategies to overcome them. You will also be responsible for deploying models to production. The ideal candidate should have a Bachelors/Masters degree in computer science, data science, mathematics or a related field, along with 3-10 years of experience in building Gen-Ai applications. Preferred skills include proficiency in statistical techniques such as hypothesis testing, regression analysis, clustering, classification, and time series analysis, expertise in deep learning frameworks like TensorFlow, PyTorch, and Keras, specialization in Deep Learning (NLP) and statistical machine learning, strong Python skills, experience in developing production-grade applications, familiarity with Langchain framework and vector databases, understanding and experience with retrieval algorithms, working knowledge of Big data platforms and technologies like Apache Hadoop, Spark, Kafka, or Hive, and familiarity with deploying applications on Ubuntu/Linux systems. Excellent communication, negotiation, and interpersonal skills are also essential for this role.,

You will need hands-on experience in converting SAS to Python, along with strong mathematics and statistics skills to excel in this role. Additionally, proficiency in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc., is essential. Your ability to comprehend business requirements and derive use cases and solutions from structured/unstructured data will be crucial. Your responsibilities will include converting SAS to Python code, acquiring the necessary skills for building and deploying machine learning models for production, and engaging in feature engineering, exploratory data analysis, pipeline creation, model training, and hyperparameter tuning. You will also be expected to develop and deploy cloud-based applications, such as LLM/GenAI, into production. Proficiency in programming languages like SAS, Python, Scikit-Learn, TensorFlow, PyTorch, Keras, and expertise in exploratory data analysis, machine learning, deep learning algorithms, model building, hyperparameter tuning, and model performance metrics are required. Knowledge of MLOps, data pipelines, data engineering, statistics, time series modeling, forecasting, image/video analytics, and natural language processing (NLP) will also be advantageous. Experience with ML services from cloud platforms like AWS, GCP, Azure, and Databricks is preferred. Basic knowledge of Databricks and Big Data, including Spark and Hive, is considered an asset. If you are looking to join a dynamic team and work in locations such as Indore, Noida, Gurgaon, Bangalore, or Pune, please share your profiles with details on notice period and compensation.,

You will be joining ClearTrail as a ML Engineer with 6-10 years of experience in Machine Learning and LLM skill set. ClearTrail is focused on developing solutions to empower those dedicated to ensuring the safety of people, places, and communities globally. With over 23 years of experience, ClearTrail has been a trusted partner of law enforcement and federal agencies worldwide, actively contributing to safeguarding nations and enriching lives. ClearTrail is at the forefront of intelligence gathering, utilizing artificial intelligence and machine learning based lawful interception & communication analytics solutions to address some of the world's most complex challenges. As an ML Engineer at ClearTrail, you will be responsible for developing an end-to-end machine learning pipeline, encompassing model development, refinement, and implementation for various analytics problems. Your role will involve effectively communicating results to a diverse range of technical and non-technical audiences. Additionally, you will leverage your expertise in LLM to tackle problems using cutting-edge language models and off-the-shelf LLM services such as OpenAI models. Your responsibilities will also include staying updated with the latest advancements in AI, problem-solving, code debugging, and practical experience in working with large language and generative AI models, including transformers and GPT models. Qualifications for this role include a Bachelor's degree in computer science & engineering, along with 6-10 years of proven experience as a Machine Learning Engineer or similar role with LLM skill set. You should possess sound theoretical and practical knowledge of machine learning algorithms and hands-on experience with LLM applications. Proficiency in Python, Scikit-Learn, PyTorch, LangChain, and Transformers libraries is essential, along with expertise in techniques such as Exploratory Data Analysis, Machine Learning, Neural Networks, Hyperparameter tuning, Model performance metrics, and Model Deployment. Practical knowledge of LLM and its finetuning is also a mandatory requirement. While not mandatory, it would be advantageous to have skills in Deep Learning, MLOps, and SQL. By joining ClearTrail, you will have the opportunity to contribute to the future of intelligence gathering and play a vital role in developing innovative solutions to address complex challenges in the realm of security and safety.,

As a Python Machine Learning & AI Developer at Chicmic Studios, you will be an integral part of our dynamic team, bringing your expertise and experience to develop cutting-edge web applications using Django and Flask frameworks. Your primary responsibilities will include designing and implementing RESTful APIs with Django Rest Framework (DRF), deploying and optimizing applications on AWS services, and integrating AI/ML models into existing systems. You will be expected to create scalable machine learning models using PyTorch, TensorFlow, and scikit-learn, implement transformer architectures like BERT and GPT for NLP and advanced AI use cases, and optimize models through techniques such as hyperparameter tuning, pruning, and quantization. Additionally, you will deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker, ensuring the scalability, performance, and reliability of both applications and models. Collaboration with cross-functional teams to analyze requirements, deliver technical solutions, and staying up-to-date with the latest industry trends in AI/ML will also be key aspects of your role. Your ability to write clean, efficient code following best practices, conduct code reviews, and provide constructive feedback to peers will contribute to the success of our projects. To be successful in this role, you should possess a Bachelor's degree in Computer Science, Engineering, or a related field, with at least 3 years of professional experience as a Python Developer. Proficiency in Python, Django, Flask, and AWS services is required, along with expertise in machine learning frameworks, transformer architectures, and database technologies. Familiarity with MLOps practices, front-end technologies, and strong problem-solving skills are also desirable qualities for this position. If you are passionate about leveraging your Python development skills and AI expertise to drive innovation and deliver impactful solutions, we encourage you to apply and be a part of our innovative team at Chicmic Studios.,

At ClearTrail, our work is not merely a job, but a calling to create solutions that empower individuals committed to ensuring the safety of their people, places, and communities. With a legacy spanning over 21 years, law enforcement and federal agencies worldwide have placed their trust in ClearTrail as their dedicated partner in protecting nations and enhancing lives. We are at the forefront of shaping the future of intelligence gathering through the development of artificial intelligence and machine learning-based lawful interception and communication analytics solutions, aimed at addressing the most complex global challenges. We are currently seeking a ML Engineer with 2-4 years of experience, possessing expertise in machine learning (ML) and Large Language Models (LLM) skill set to join our team in Indore, Madhya Pradesh. Roles and Responsibilities: - Develop and implement end-to-end machine learning pipelines for a diverse range of analytics problems, including model development and refinement. - Effectively communicate results to a varied audience with technical and non-technical backgrounds. - Utilize LLM expertise to tackle challenges using cutting-edge language models and off-the-shelf LLM services such as OpenAI models, focusing on techniques like Retrieval augmented generation to enhance the performance and capabilities of LLMs. - Stay abreast of the latest advancements in the field of Artificial Intelligence through continuous research and innovation. - Demonstrate strong problem-solving skills and proficiency in code debugging. - Hands-on experience in working with large language and generative AI models, both proprietary and open-source, including transformers and GPT models (preferred). Skills: - Mandatory hands-on experience with Python, Scikit-Learn, PyTorch, LangChain, and Transformers libraries. - Proficiency in Exploratory Data Analysis, Machine Learning, Neural Networks, hyperparameter tuning, model performance metrics, and model deployment. - Practical knowledge of Large Language Models (LLM) and fine-tuning techniques. Nice to have experience: - Deep Learning - MLOps - SQL Qualifications: - Bachelor's degree in Computer Science & Engineering. - Proven 2-4 years of experience as a Machine Learning Engineer or similar role, with a strong LLM skill set. - Solid theoretical and practical understanding of machine learning algorithms and hands-on experience with LLM applications.,

As a member of our team, you will be responsible for managing organizational strategy and operations through the design and statistical analysis of business initiatives and experiments. Your role will involve collaborating with business partners to understand and address their needs and issues effectively. Utilizing advanced knowledge of statistics and data mining techniques, such as predictive modeling and simulation, you will identify patterns and insights from business data. Additionally, you will be tasked with designing, developing, and evaluating statistical and predictive models to drive business solutions. In this position, you will act as the lead statistician for the unit, providing expertise, oversight, and guidance on statistical analysis efforts. Communication of findings and recommendations to management across various departments will be a crucial aspect of your role. Furthermore, you will support implementation efforts and lead and mentor the team working in the Data Competency Centre. To excel in this role, you should possess a Bachelor's degree in data science, computer science, electrical engineering, applied statistics, or physics with 8-10 years of relevant work experience in Data Science, Artificial Intelligence, or Machine Learning algorithm development. Alternatively, a Master's degree with 5+ years of relevant work experience or a PhD with 4+ years of relevant work experience in the aforementioned fields will also be considered. A working knowledge of budgets and financial statements is required. Key skills and competencies for this position include demonstrated experience in managing teams, coaching team members to drive results, proficiency in programming languages and statistical software tools (such as Python, SAS, R, JMP), relational databases (SQL server), and data analysis and visualization software (preferably PowerBI, SAS). You should also have experience with standard data science and machine learning packages, as well as machine learning model tradeoffs and computer vision models. Strong communication skills are essential to effectively collaborate with various business partners and communicate complex data relationships and statistical model results. Your essential responsibilities will involve statistical analysis and model development in collaboration with business partners, internal teams, and Enterprise Data Management. You will explore data using statistical techniques to answer business questions, build hypotheses, and identify research data attributes. Additionally, you will lead the development of experimental designs for business initiatives, apply advanced statistical techniques, build predictive models, and deploy computer vision models to meet business needs. Providing guidance and direction related to statistical analysis, as well as effectively communicating and delivering statistical and predictive model results to business partners, are critical aspects of this role. You will report to the Head of Automation Digital Transformation USA and will have direct reports. Some travel may be required for this position. This is a full-time role based in Plot No.A-1/1 SIPCOT Industrial Park, Sriperumbudur, Tamil Nadu, 602105, IN. If you believe you meet the qualifications and can excel in fulfilling the responsibilities outlined for this role, we encourage you to apply. All candidates receiving an offer of employment must successfully complete a background check and any other required tests. Job Identification: 1021960 Job Category: NPI-HSRT Integration Data Science Posting Date: 07/17/2025, 12:17 AM Job Schedule: Full time Work Schedule: Normal Shift New (PMT),

Experience in ML, DL (Tensorflow, Keras, PyTorch), NLP, and NLU (NLTK, Spacy, Flair, etc.) Good understanding and relevant experience in ML techniques/ NLP/ Computer Vision tasks such as classification, clustering, deep learning, optimization methods, NER, dependency parsing, boundary detection, etc. Experience with Conversational AI frameworks like Rasa, Microsoft Bot etc Fluency in Python: Pandas, NumPy, SciPy, PySpark, PyTorch, Matplotlib Techniques: Regression analysis, Natural Language Processing (NLP) models, CNN DNN, Decision tree, Deep learning algorithms. Solid experience with one or more of the following programming languages: Scala, Java Experience with database technology such as MySQL, Postgres, Oracle and NoSQL databases Excellent working knowledge of Amazon Web Services (AWS) and ML services. Knowledge of AWS Sagemaker will be a plus AWS Certification will be a plus Good written and verbal communication skills Experience working with remote engineering teams

As a Senior Data Scientist with a focus on Predictive Analytics and expertise in Databricks, your primary responsibilities will involve designing and implementing predictive models for various applications such as forecasting, churn analysis, and fraud detection. You will utilize tools like Python, SQL, Spark MLlib, and Databricks ML to deploy these models effectively. Your role will also include building end-to-end machine learning pipelines on the Databricks Lakehouse platform, encompassing data ingestion, feature engineering, model training, and deployment. It will be essential to optimize model performance through techniques like hyperparameter tuning, AutoML, and leveraging MLflow for tracking. Collaboration with engineering teams will be a key aspect of your job to ensure the operationalization of models, both in batch and real-time scenarios, using Databricks Jobs or REST APIs. You will be responsible for implementing Delta Lake to support scalable and ACID-compliant data workflows, as well as enabling CI/CD for machine learning pipelines using Databricks Repos and GitHub Actions. In addition to your technical duties, troubleshooting Spark Jobs and resolving issues within the Databricks Environment will be part of your routine tasks. To excel in this role, you should possess 3 to 5 years of experience in predictive analytics, with a strong background in regression, classification, and time-series modeling. Hands-on experience with Databricks Runtime for ML, Spark SQL, and PySpark is crucial for success in this position. Familiarity with tools like MLflow, Feature Store, and Unity Catalog for governance purposes will be advantageous. Industry experience in Life Insurance or Property & Casualty (P&C) is preferred, and holding a certification as a Databricks Certified ML Practitioner would be considered a plus. Your technical skill set should include proficiency in Python, PySpark, MLflow, and Databricks AutoML. Expertise in predictive modeling techniques such as classification, clustering, regression, time series analysis, and NLP is required. Familiarity with cloud platforms like Azure or AWS, Delta Lake, and Unity Catalog will also be beneficial for this role.,

You should have hands-on experience in Machine Learning Model and deep learning development using python. You will be responsible for Data Quality Analysis and Data preparation, Exploratory Data Analysis, and visualization of data. Additionally, you will define validation strategies, preprocessing or feature engineering on a given dataset, and data augmentation pipelines. Text processing using Machine Learning and NLP for processing documents will also be part of your role. Your tasks will include training models, tuning their hyperparameters, analyzing model errors, and designing strategies to overcome them. You should have experience with python packages such as Numpy, Scipy, Scikit-learn, Theano, TensorFlow, Keras, PyTorch, Pandas, and Matplotlib. Experience in working on Azure open AI studio or openai using python or LLAMA or Langchain is required. Moreover, experience in working on Azure function and python flask/api development/streamlit, prompt engineering, conversational AI, and LLM models like word2Vec, Glove, spacy, BERT embedding models is preferred. You are expected to possess distinctive problem-solving, strategic, and analytical capabilities, as well as excellent time-management and organization skills. Strong knowledge in Programming languages like Python, reactjs, SQL, big data is essential. Excellent verbal and written communication skills are necessary for effective interaction between business and technical architects and developers. You should have 2 - 4 years of relevant experience and a Bachelors Degree in Computer Science, Computer Engineering, masters in computer application, MIS, or a related field. End-to-End development experience in deployment of the Machine Learning model using python and Azure ML studio is required. Exposure in developing client-based or web-based software solutions and Certification of Machine Learning and Artificial Intelligence will be beneficial. Good to have experience in power platform or power pages or Azure OpenAI studio. Grant Thornton INDUS comprises GT U.S. Shared Services Center India Pvt Ltd and Grant Thornton U.S. Knowledge and Capability Center India Pvt Ltd. Grant Thornton INDUS is the shared services center supporting the operations of Grant Thornton LLP, the U.S. member firm of Grant Thornton International Ltd. Established in 2012, Grant Thornton INDUS employs professionals across a wide range of disciplines including Tax, Audit, Advisory, and other operational functions. The culture at Grant Thornton INDUS promotes empowered people, bold leadership, and distinctive client service. Working at Grant Thornton INDUS offers an opportunity to be part of something significant and serves communities in India through inspirational and generous services to give back to the communities they work in. Grant Thornton INDUS has its offices in two locations in India Bengaluru and Kolkata.,

Hiring: LLM Developer/Engineer (New Delhi) Requirements: Strong understanding of NLP, Transformers, and LLMs. Coding experience is a must with at least 2 years of experience working on LLMs, RAG, hyperparameter tuning, and fine-tuning open-source models. B.Tech or higher in EC, CS, or AI/ML.,

Job Summary: - Data Scientist with good hands-on experience of 3+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production. Job Responsibilities: - 1. Hands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib 2. Proficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML and OpenAI etc.) 3. Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence 4. Good understanding of any of the cloud platform AWS, Azure or GCP 5. Understanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plus 6. Should have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self motivation and self-driven to find solutions for problems. 7. Should be able to mentor and guide mid to large sized teams under him/her Job Requirements: - 1. Strong experience on Spark with Scala/Python/Java 2. Strong proficiency in building/training/evaluating state of the art machine learning models and its deployment 3. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering 4. Proficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of Generative AI / Large Language Models / Transformers would be a plus Qualification: - - B-Tech or BE in Computer Science / Computer Applications from Tier 1-2 college with 3+ years of proven experience in the field of Advanced Analytics or Machine Learning OR - Master's degree in Machine Learning / Statistics / Econometrics, or related discipline from Tier 1-2 college with 3+ years of experience Must have Skills: - Real-world experience in implementing machine learning/statistical/econometric models/advanced algorithms Breadth of machine learning domain knowledge Experience in application of machine learning algorithms (classification, regression, deep learning, NLP, etc.) Experience with a ML/data-centric programming language (such as Python, Scala, or R) and ML libraries (pandas, numpy, scikit-learn, etc.) Experience with Apache Hadoop / Spark (or equivalent cloud-computing/map-reduce framework) Skills that give you an edge: - Strong analytical skills to solve and model complex business requirements are a plus. With life sciences or pharma background. We will provide (Employee Value Proposition) Offer an inclusive environment that encourages diverse perspectives and ideas Deliver challenging and unique opportunities to contribute to the success of a transforming organization Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online Axtria Institute, knowledge sharing opportunities globally, learning opportunities through external certifications Sponsored Tech Talks & Hackathons Possibility to relocate to any Axtria office for short and long-term project

Build and deploy scalable ML models and MLOps pipelines in collaboration with data scientists Required Candidate profile 6–12 yrs in ML development, Python, model tuning, and enterprise AI deployment.