BASIC PURPOSE: The primary responsibilities of the AWS Machine Learning Engineer are to design, develop and deploy Machine learning models using AI/ML technologies within the AWS framework. This role will collaborate closely with the product and software development teams to operationalize these ML solutions for automating key business processes across the enterprise for both talent-facing and internal applications. ESSENTIAL FUNCTIONS: <ul><li>Leverage AWS ML platform services and frameworks to deliver production ready models across multiple internal and external applications </li><li>Build predictive and generative models specific to product needs</li><li>Analyze large data sets and build data pipelines for model training </li><li>Collaborate with Product Designers, Product Managers, and Software Engineers to deliver </li><li>High quality, predictive models for both internal and commercial use</li><li>Develop tools to help detect shifts in data/features used by ML models to identify issues in advance of deteriorating prediction quality, monitoring the uncertainty of model outputs, automating prediction explanation for model diagnostics</li><li>Work with product managers to ensure that projects proceed on time and on budget</li><li>Document process steps to ensure reasonable human oversight and tracability back to data inputs</li><li>Resolve technical roadblocks and mitigate potential risks</li><li>Drive Innovation and implement solutions with future thinking</li><li>Always learning and sharing ideas and concepts with the extended Application Solution Delivery teams as the AWS ML expert for the organization</li><li>Must be able to perform the essential functions of the job, with or without reasonable accommodation</li></ul> QUALIFICATIONS:<ul><li>Bachelor’s degree in Computer Science / related engineering field OR equivalent experience </li><li>In a related field</li><li>5+ years of software development experience</li><li>2+ years’ experience developing ML solutions in AWS </li><li>Strong proficiency in the AWS Cloud ecosystem </li><li>Proven hands-on with serverless technologies (Lambda)</li><li>Hands on development experience developing enterprise software solutions in Python or R</li><li>Experience with building data pipelines</li><li>Possess the ability to understand business processes and design creative ML automation solutions </li><li>Experience with MLOps such as AWS Workload Orchestrator</li><li>AWS Certification highly desired</li><li>Good written, verbal communication skills </li><li>Great team player</li></ul>

At VSYNERGIZE, our mission is to unlock the next wave of innovation in AI by reducing barriers to developing custom large language models. We are seeking an experienced AI Engineer with expertise in language models, text-to-image, and generative AI. The ideal candidate will have a proven track record of publishing research and demonstrating proficiency in state-of-the-art generative AI models. Strong understanding of deep learning, natural language processing, and computer vision is essential.  Responsibilities:·        Lead projects from scoping and design to implementation and rollout, driving end-to-end solutions.·        Design and build robust, scalable, and performant systems for AI development platforms.·        Collaborate with leadership, applied scientists, and engineers to ensure alignment on decisions and drive platform performance.·        Stay updated with AI landscape and technologies to leverage the best tools for the platform.·        Contribute to the upskilling of the engineering team and shape culture and best practices.·        Build platforms for driving intelligent decisions, interacting with machine learning models, and powering conversational interfaces.·        Collaborate with data scientists, data engineers, and software engineers to expand AI applications.·        Research and prototype new approaches and algorithms.·        Ensure high-quality system delivery and improve workflows and methods. Preferred Qualifications:·        Bachelor’s or master’s degree in Computer Engineering, Software Engineering, or related field.·        3+ years of experience in machine learning platforms and infrastructure in production environments.·        Familiarity with deep learning frameworks like PyTorch.·        Familiarity with Large Language Models (LLMs)·        Familiarity with Prompt Engineering·        Familiarity with Prompt Completions·        Experience with Microsoft Chat Bots·        Experience with Microsoft Fabric·        Experience with C#, Power Automate Desktop, Power Automate, Azure Open AI, Microsoft Power Platform, Python, Docker, Kubernetes, and infrastructure as code (e.g., Terraform)..   Interest in working at an early-stage startup and disrupting industries with AI.

Experience: 6+ YearsLocation: Pune (On-Site) Responsibilities<ul><li>Design and develop advanced machine learning algorithms and frameworks for forecasting and other predictive models.</li><li>Collaborate closely with the web development team to ensure seamless deployment of AI applications, optimizing performance and scalability.</li><li>Strong knowledge of python and cloud services.</li><li>Conduct complex data analysis and processing to feed into machine learning models, ensuring high accuracy and reliability of predictions.</li><li>Continuously monitor, refine, and improve machine learning models based on performance data and evolving requirements.</li><li>Work closely with cross-functional teams, including data scientists, engineers, and product managers, to define and achieve shared objectives.</li><li>Stay abreast of the latest developments in machine learning, AI, and related technologies. Explore and implement new methods and technologies to enhance our AI capabilities.</li><li>Provide technical leadership and mentorship to junior engineers, fostering a culture of innovation and excellence within the team.</li></ul>Qualifications & Skills<ul><li>Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, or a related field.</li><li>Expert in Python and machine learning, skilled in developing ML algorithms and integrating them with cloud services.</li></ul>

Experience-5 to 8 YearsJob Location- PuneSkillsets – • Participate in Python development to craft robust and scalable software solutions. • Advanced expertise in SQL and relational database management systems such as SQL Server and MySQL. • Sound understanding of Git for code version control. • Integrate Azure cloud services into applications, amplifying performance and scalability. • Comprehend fundamental ML engineering tasks, actively contributing to the development and deployment of machine learning models. • Utilize foundational knowledge of JavaScript and HTML for front-end development tasks. Abilities • Display strong problem-solving skills and meticulous attention to detail in Python programming. • Demonstrate a keen desire to learn and advance in ML engineering, embracing challenges willingly. • Showcase effective collaboration abilities within a development team.

About AscendionAscendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life | www.ascendion.com We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:<ul><li>Build the coolest tech for the world’s leading brands</li><li>Solve complex problems - and learn new skills</li><li>Experience the power of transforming digital engineering for Fortune 500 clients</li><li>Master your craft with leading training programs and hands-on experience</li></ul> Experience a community of change-makers!Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion. About the Role: Location: Pune, MH, and Chennai, TN (hybrid work) Description:<ul><li>Hands-on with LLMs (In previous projects) and worked on product development using LLMs</li><li>Hands-on experience with Vector Database & Graph DB (Pinecone, Milvus, Neo4j)</li><li>Hands-on experience using Open AI APIs, and Open Source LLMs (Llama2, Mistral, Mixtral, etc.)</li><li>Solid understanding of frameworks like Langchain, and Haystack, and ability to use Agentic Workflows using those frameworks</li><li>Experience with Speech-to-Text using Whisper/Google TTS etc.</li><li>Good understanding and experience using Transformer/Neural Network model</li><li>Hands-on experience in creating Embedding using MPNET, Ada models</li><li>Ability to use advanced techniques like HyDE, MMR, and LLM reranking for effective semantic search</li><li>Experience with Chat, IVR, and Banking will be a plus</li></ul> Want to change the world? Let us know.Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!

Position: Machine Learning EngineersExperience: 3 YrsWork Mode: RemoteNo of Position: 2 Desired Candidate Profile:  Minimum 5-year experience in NLP, Minimum 2 years of experience in Gen AI Master’s degree in computer science, Computer Engineering, relevant technical field, orequivalent practical experience. Programming experience in Python. Hands-on experience ML, NLP and DL. Research experience in them is a plus. Hands-on experience with DL frameworks like Py Torch/Tensorflow. Must have experience withtraining/finetuning and deploying a DL NLP model. Hands-on experience with instruction tuning and SFT on LLM. Experience with modelquantization or computational optimizations is a plus. Proficient in leveraging Lang Chain for the development and integration of LLMs into diverseapplications, demonstrating a strong ability to enhance AI functionalities throughinnovative uses of natural language processing and understanding. Experience with developing ML models at scale from inception to production. Familiarity with one of the cloud platforms like AWS, GCP, and Azure. Experience with applying LLMs in the Healthcare space is a plus. Must obtain work authorization in the country of employment at the time of hire and maintainongoing work authorization during employment. Job Responsibilities:  Design methods, tools, and infrastructure to push forward the state of the art in large languagemodels. Deploy, monitor, and manage ML models in production, ensuring high availability and lowlatency.  Manage and optimize ML infrastructure, including cloud services, containers, and orchestrationtools. Define research goals informed by practical engineering concerns. Contribute to experiments, including designing experimental details, writing reusable code,running evaluations and organizing results. Adapt standard machine learning methods to best exploit modern parallel environments (e.g.distributed clusters, multicore SMP, and GPU)

Job Overview:We are seeking a talented and experienced Machine Learning Engineer with expertise in Natural Language Processing (NLP), Generation Artificial Intelligence (GenAI), and advanced Python programming. The ideal candidate will be responsible for designing, implementing, and deploying machine learning models and algorithms to solve complex problems and enhance our products and services. Key Responsibilities:Algorithm Development:• Design, develop, and implement machine learning algorithms and models to address businesschallenges, with a focus on NLP and GenAI applications.• Explore and experiment with advanced techniques in deep learning, reinforcement learning, andother areas of machine learning. Data Preprocessing and Feature Engineering:• Clean, preprocess, and analyze large datasets to extract relevant features for model training.• Implement NLP techniques such as tokenization, stemming, lemmatization, and entity recognitionto process textual data effectively. Model Training and Evaluation:• Train, validate, and fine-tune machine learning models using appropriate evaluation metrics andcross-validation techniques.• Conduct thorough performance analysis and optimization to ensure the scalability and efficiency of deployed models.NLP and GenAI Applications:• Develop innovative solutions for natural language understanding, sentiment analysis, textgeneration, and other NLP tasks.• Leverage Generation AI techniques to create intelligent and autonomous systems that generatehuman-like content.Software Development:• Implement scalable and maintainable Python code for machine learning pipelines, APIs, anddeployment frameworks.• Collaborate with software engineers to integrate machine learning components into productionsystems and services.Research and Innovation:• Stay updated on the latest advancements in machine learning, NLP, and GenAI research.• Contribute to research projects, publish findings in academic journals, and participate inconferences and workshops.Collaboration and Communication:• Work closely with cross-functional teams, including data scientists, product managers, andbusiness stakeholders, to understand requirements and deliver solutions.• Communicate technical concepts and findings effectively to both technical and non-technical audiences. Qualifications:• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.• Proven experience (8 years) as a Machine Learning Engineer or Data Scientist, with a focus on NLP and GenAI applications.• Strong proficiency in Python programming and machine learning libraries (e.g., TensorFlow,PyTorch, scikit-learn).• Solid understanding of NLP techniques and frameworks (e.g., NLTK, spaCy, Transformers).• Experience with deep learning architectures (e.g., RNNs, CNNs, Transformers) and pre-trainedlanguage models (e.g., BERT, GPT).• Excellent problem-solving skills and the ability to translate business requirements into technicalsolutions.• Strong communication and collaboration skills, with the ability to work effectively in a teamenvironment• Contributions to open-source projects, research publications, or patents in the field of machinelearning or NLP.

Job Summary: Machine Learning (ML) Engineer – Design and development of machine learning models for analysis of power train and vehicle dynamics data to serve use cases such vehicle health/performance management and driver behavior monitoring. The job also entails research in statistics, mathematics and automobile machinery/practices for evolution of hybrid algorithms which couple physics and machine learning. A Senior ML engineer is also expected to work closely with a team of budding ML engineers and analysts in evolving and validating new designs. Job Responsibilities: Primary: Design and development of machine learning models for analysis of power train and vehicle dynamics data. Research in the fields of statistics, mathematics and automobile-technology for evolution of hybrid algorithms which couple physics and machine learning. Use cases for said hybrid data models vary across vehicle health management, fuel pilferage tracking and driver behavior profiling. Secondary: Implementation of aforementioned models from a software development perspective. Working closely with data engineering and GUI teams for deployment, usability and performance management of algorithms. Interfacing with and enabling service teams with appropriate know-how to best address queries pertaining to data models. Skills and Qualifications: ● BE/B Tech CE/IT OR Mtech in CE/IT/DataScience ● 1.5 - 4 years of experience into Machine Learning ● Certification in Machine learning, AI, Deep Learning, Statistics, Data Mining ● Languages: Python, R, Nodejs, Scala ● Databases: MySQL(RDBMS), MongoDB, Timescale, InfluxDB ● Tools and packages: Pandas, Matplotlib , Seaborn, Plotly, ggplot2 , Bokeh, OpenCV, Numpy, Scipy, ScikitLearn, Statsmodels, TensorFlow ● Algorithms: Multi Variable Regression, Density Clustering, Support Vector Machines, Bayesian Models, Decision Trees(XG Boosting, Random Forests), PCA

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Machine Learning Engineer Jobs in Pune, Maharashtra

Aws Machine Learning EngineerApril 28, 2024

Machine Learning EngineerApril 28, 2024

Senior Machine Learning EngineerApril 22, 2024

Machine Learning EngineerApril 21, 2024

Machine Learning EngineerApril 14, 2024

Machine Learning Engineer Exp With Ml Nlp And Dl With A Leading Software Development Company Pune Remote Immediate JoinersApril 14, 2024

Machine Learning EngineerApril 11, 2024

Machine Learning EngineerApril 7, 2024