What will you do?<ol><li>Implement technology solutions using Large Language Models (LLMs) like GPT</li><li>Fine tune LLMs with proprietary data</li><li>Use LLMs in conjunction with other domain specific models like Vision, NLP, Speech recognition, Image generation</li><li>Setup integrations with hosted LLMs using various cloud providers (AWS+HuggingFace, Azure+OpenAI, Google+Bard)</li><li>Setup and integrate hosted LLM models. Enhance the hosted LLM models with proprietary data.</li><li>Write APIs using Python/Go to enhance and Integrate with existing API infrastructure.</li><li>Design Prompts that provide appropriate responses. Use various prompt engineering methods (introspection, chain-of-thought, instruction prompting).</li><li>Work with data teams to collect and organize the data needed for the task at hand.</li><li>Ensure that best practices are followed in solving AI problems including thorough problem analysis, prior research understanding, persistent experimentation and documentation, rapid prototyping and extensive testing.</li><li>Help in filing for patents and publishing research papers at AI conferences.</li><li>Extensively document learnings from experiments and share with ML engineering team</li><li>Use Copilot/CodeWhisperer in developing code and create “cookbook” for good code generation.</li></ol>What you need to haveMust Have:<ol><li>Hands-on industry experience of 1 to 2 years working on machine learning and deep learning or related fields.</li><li>Sound understanding of Deep Learning in at least two AI problem domains, preferably, Computer Vision, NLP/NLG using LLM, Time Series Forecasting. Having a strong mathematical background in linear algebra, probability, and calculus.</li><li>Familiar with machine learning frameworks such as PyTorch or TensorFlow, Keras.</li><li>Proficient in Python based programming</li><li>Understanding of modeling a problem into a Deep Learning framework. Exposure in building, measuring and iterating on neural network architectures that effectively solved the problem</li><li>Experience working in a product-based startup environment</li><li>Understanding of pipelines to monitor, extract, index, build and tune ML and NLP models</li><li>Experience working in collaborative software development environments including the use of git, peer code review and independent authorship of well tested, maintainable and documented code. </li></ol>Nice to have <ol><li>Data Management</li><li>Defining validation strategies</li><li>Defining the pre-processing or feature engineering to be done on a given dataset</li><li>Defining data augmentation pipelines</li><li>Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world</li><li>Working proficiency with SQL and relational databases, data warehouse.</li><li>Experience with GPU/CUDA for computational efficiency.</li><li>Experience with ML Ops frameworks like Sagemaker/AWS, MLFlow or similar</li><li>Familiar with distributed computational frameworks (YARN, Spark, Hadoop)</li></ol>

Role: Machine Learning Engineer We're seeking a talented Machine Learning Engineer to join our team. The ideal candidate will have 2 years of hands-onexperience in developing and deploying machine learning models Key Responsibilities: 1. Lay Foundations of ML and Computer Vision.2. Design, develop, and implement machine learning algorithms3. Contribute to the MVP and Build projects from scratch.4. Leverage Tiny App friendly models to create in app classification5. Annotate and Preprocess Data. Requirements: 1. In depth understanding of CNN, Computer Vision2. Experience with CNN architectures and transfer learning for image/video tasks3. Familiarity with OpenCV, CUDA, and GPU acceleration techniques4. Knowledge of data augmentation and preprocessing techniques for visual data5. Experience deploying ML models in production environments6. Excellent problem-solving skills and ability to work in a fast-paced MVP environment

Summary:PlanSource is a high-growth software company headquartered in Orlando, Florida with offices in Salt Lake City, Utah and Bengaluru. We are currently looking for a Senior Machine Learning Engineer who will work with the growing data science and Gen AI team to maintain, improve, and expand our data science infrastructure. PlanSource is looking for a highly motivated, organized, forward-thinking team member to join the Data Science Team at our Center of Excellence in Bangalore, India. PlanSource is part of the Vista Equity Partners portfolio of companies. Together, we are working to reinvent the employee benefits administration landscape. Our talented employees benefit from this partnership through increased capital for strategic investments, access to exceptional toolkits, best practices and resources for success, and strong cultural and value alignment focused on talent development and growth. About the Senior Machine Learning Engineer PositionWe are seeking a highly skilled and motivated Data Scientist specializing in Generative AI to join our team. This is a highly visible role that will be responsible for supporting new AI initiatives, solutions and implementation on our existing BenAdmin Platform. The ideal candidate should possess in-depth knowledge of OpenAI, Lang Chain and Open LLM frameworks and be proficient in creating AI models and documents to Vectors etc. The ML/AI responsibility includes sourcing and training data that is accurate and reliable, and models are well-trained and reliably deployed. They must be self-motivated and comfortable supporting the needs of multiple teams, systems, and products. Responsibilities include (Not limited to) :<ul><li>Architect AI/ML systems as well as integrating AI/ML features into business apps</li><li>Solution and execute end-to-end Generative AI projects with Open AI, GPT-4, Llama-2 etc</li><li>Develop end-to-end NLP Deep models</li><li>Assist in Conversational AI, Information retrieval, Knowledge Management</li><li>Research and implement appropriate ML algorithms and tools</li><li>Build and manage Supervised and Unsupervised ML algorithms</li><li>Select appropriate datasets and data representation methods</li><li>Perform statistical analysis and fine-tuning using test results</li><li>Utilise AWS Lambda, EC2 Services to build solution and Provide code deployments</li><li>Communicate architecture decisions effectively to multiple stakeholders including presenting to client Architecture Review Boards (ARBs).</li></ul> About You:As a Senior Machine Learning Engineer, you will possess the following essential strengths, skills, and competencies:<ul><li>Educational Background: Bachelor’s degree in statistics, mathematics, engineering, computer science, or a related quantitative discipline.</li><li>Experience: 6+ years in data acquisition, data mining, data transformation, cleaning structured/unstructured data, modelling, or machine learning, including at least 1 year in Generative AI.</li><li>Problem-Solving Skills: Strong emphasis on product development.</li><li>Communication Skills: Excellent written and oral communication, and strong interpersonal skills.</li><li>Independence: Ability to thrive in a fast-paced environment and work independently.</li><li>Analytical Skills: Experience performing root cause analysis to answer specific business questions.</li></ul> Preferred Skills:<ul><li>Programming Languages: Familiarity with Scala (preferred), Python & SQL</li><li>Predictive Modelling and Analysis: Experience in machine learning and algorithm development.</li><li>Mathematical Skills: Solid foundation in statistics, calculus, and linear algebra.</li><li>Model Deployment: Experience productizing and deploying machine learning models.</li><li>Data Warehousing: Experience with data warehouse tools (Snowflake preferred).</li><li>Data Pipeline Management: Experience with data pipeline and workflow management tools (Airflow preferred).</li><li>Engineering: Experience in Prompt engineering with LLM Development using Langchain. Semantic Kernel, Open Source/ API based LLMs or similar</li><li>API Development: Experience building scalable APIs in Python (using FastAPI is a plus).</li><li>Data Processing: Working knowledge of data processing packages (e.g., numpy, scipy, pandas).</li></ul> What We Offer:<ul><li>Great compensation package, including a full suite of benefits.</li><li>The chance to work for a fast-growing, established tech company, and work side-by-side with a dynamic team of talented professionals.</li><li>Fast-paced environment with big goals and the opportunity to make a big impact.</li></ul> Top five reasons to come to PlanSource: #5: Join the Vista Family. In March 2019, Vista Equity Partners acquired PlanSource, marking a new phase of growth. Vista’s portfolio of technology and software companies collectively make up the 4th largest software ecosystem in the world with “intraportfolio” career advancement opportunities and have structures in place to leverage shared learnings from across the ecosystem. #4: PlanSource has the right product. Show off our sophisticated cloud-based technology that meets the needs of even the most complex benefit programs. #3: Success is rewarded. With more than just a pat on the back, your success is recognized and rewarded. We take care of our employees in every way we can, with comprehensive benefits, employee recognitions, a work hard and play hard environment, and a commitment to wellbeing. #2: You can grow and develop professionally. PlanSource has a great track record of internal promotions and also filling open positions within the company. #1: PlanSource is the right company and we are on a roll. Be part of a winning team in a high-growth technology company that is well funded and values its employees and their families – Thousands of employers and millions of consumers use the PlanSource Platform for benefits shopping, enrollment, billing and ongoing administration.

Be a Part of Something Extraordinary:If you're ready to make an impact, be at the forefront of innovation, and embrace the challenges and opportunities of a fast-paced work environment, Porter is the place for you. We're not just building a brand; we're creating a household name in transportation. Join us and be part of the revolution – where every day is an opportunity to redefine what's possible.If you are ready to make a significant impact and shape the future of Porter, apply now and be part of our exciting journey! Data Ambitions @ PorterPorter collects data at scale about how our customers, our drivers, and our teams make decisions on every transaction every day. Using the insights embedded in this data, we can make better decisions about everything — from the markets we target to the products we deliver in them, to significantly outperforming conventional processes.We deliver on data-led innovations to put this data to work and capitalise it as a strategically important asset. Responsibilities<ul><li>Work closely with MLEs, MLOps, Data Engineers, and Data Scientists to build and extend our DS/ML platform and use cases.</li><li>Build MVP applications to showcase the value of DS/ML models, owning the end-to-end process.</li><li>Develop re-usable production-grade functionality and automation around DS/ML feature pipelines, real-time/batch inference, continuous training, model monitoring, and more.</li><li>Participate in design sessions and brainstorming with the team on how to solve complex data problems with scalable solutions.</li><li>Work closely with Data Scientists to support productionizing their use case.</li><li>Use Python, Spark, AWS, Snowflake.</li><li>Perform code review and end-to-end testing.</li><li>Can demonstrate awareness of data visualisation tooling and techniques.</li></ul><li></li>Ideal Candidate will<ul><li>Decent understanding of Machine Learning Systems (model training, model inference, APIs, feature pipelines, continuous training, model monitoring).</li><li>Have 5 to 8 years of experience as data scientist, data analyst with an appropriate background in ML, DL or statistical modeling.</li><li>Have experience and awareness of applying popular analytical and statistical techniques.</li><li>Have knowledge of serving a model and its pipelines in production.</li><li>Be familiar with a machine learning framework : PyTorch (preferred), TensorFlow, or Keras.</li><li>Understand concepts of linear algebra and/or statistics where applicable.</li><li>Understand the patterns, anti-patterns, pitfalls of all important techniques outlined in the Responsibilities.</li><li>Good proficiency in the language of their choice. ( Matlab doesn’t count).</li><li>Have excellent communication skills and can work in a team.</li></ul>

At Avataar, we are re-imagining product discovery for shopping/commerce with the power of spatial depth. We are taking the latest advances in Neural Rendering, Computer Graphics, Generative models and the web to empower the next generation of visual storytelling. We recently announced our $45mm Series-B from top-tier global investors including Tiger Global and Sequoia Capital. The position will be based out of our Bangalore office Position: Applied ML Engineer - Individual Contributors Position Overview: As an Applied ML Engineer, you will be developing product features leveraging the latest advances in Gen AI and LLMs space for Avataar’s Creator product. You will work closely with the product and engineering teams, taking full responsibility for the entire lifecycle of feature development, from initial scoping to final deployment. Requirements: <ul><li>1+ years of relevant experience in the Applied Machine Learning domain for SaaS applications</li><li>Strong expertise in Pytorch and Python.</li><li>Demonstrated experience in shipping Computer Vision models to customers</li><li>Deep understanding of Transformers and Generative models</li><li>Strong grasp of CPU and GPU performance challenges and optimization techniques</li><li>Excellent problem-solving skills and the ability to work independently as well as part of a team.</li><li>Open source contribution is highly preferred.</li></ul>

Job description<ul><li>Good experience in AI & ML, Python and working with agile scrum methodologies.</li><li>Strong DL for cases like image/audio/text classification.</li><li>Strong NLP (LLM) knowledge on entity extraction. Multi-lingual LM and multi-modal LM experience are extremely preferred.</li><li>Hands on experience on GenAI (LLM), and experts on prompt engineering.</li><li>Candidate with relevant experience in Machine Learning, AI, Python as mandatory skills</li><li>Strong communication, collaboration and problem solving skills with a track record of delivering production grade systems in a team environment.</li><li>Motivated individual who learns quickly, has pride in building a new product and can engage others to accelerate technical solutions</li><li>Machine learning pipeline knowledge and hands-on experience on Kubeflow or MLflow frameworks. This is highly desirable but not required.</li><li>Experience in MLOps, Cloud, Python, Kubernetes, Workflows, MongoDB, PostGresDB</li><li>Experience with relational and non-relational databases (Postgres, MongoDB, GraphDB, VectorDB)</li><li>1+ year of experience with Google Cloud Platform, AWS or Azure</li><li>Experience with agile tools such as Atlassian JIRA, Rally, TFS or Version One</li></ul><li></li>Experience: - 4 - 8 YearsWork Location: - Bangalore, Chennai, Hyderabad, Pune, Noida, Gurgaon

We are seeking a highly skilled and experienced ML Engineer to join us in building next generation Cognitive AI systems. The ideal candidate should have a robust background in developing AI products, utilizing machine learning algorithms, and engineering them to scale effectively. The role involves building AI algorithms starting from data pre-processing to model development and deployment. Responsibilities: ● Utilize 5 to 8 years of hands-on experience in building efficient and scalable code, particularly utilizing modules such as NumPy, Pandas, SciPy, Sci-Kit Learn, Matplotlib, and seaborn. ● Lead the design, development, and implementation of scientific research projects and data models. ● Use modeling, simulation, and optimization to design processes, algorithms, and prediction/classification systems ● Investigate the applicability of new approaches to business problems and products by combining theory and experimentation ● Demonstrate expertise in writing and debugging object-oriented code for robust applications. ● Apply intermediate knowledge of SQL and NoSQL databases to perform data manipulation and analysis. ● Leverage 5 to 6 years of professional experience in data science and machine learning, including classification, regression, and forecasting algorithms, especially time series models ● Execute pre and post-processing steps such as data cleaning, feature engineering, charting, and report generation. ● Showcase proficiency in deep learning models with 2+ years of experience using ML toolkits like PyTorch, TensorFlow, etc. ● Handle large datasets effectively, ensuring optimal performance and accuracy in model training and evaluation. ● Apply good knowledge of basic statistics, including hypothesis testing, sampling, and distribution familiarity. ● Utilize 2 years of experience in Git for version control and collaboration in software development projects. ● Communicate effectively with team members and stakeholders, presenting findings and insights in a clear and understandable manner. ● Possess a good understanding of time series forecasting, Kafka, API development, and experience working with cloud services being advantageous. Requirements: ● Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field. ● 5 to 8 years of professional experience in Python development, data science, and machine learning. ● Understanding of the generative ai algorithms: Transformers, Temporal Fusion Transformers, and its interpretability ● Strong proficiency in Python programming and relevant libraries/modules (NumPy, Pandas, SciPy, etc.) ● Experience with classification, regression, and forecasting algorithms, along with pre and post-processing techniques ● Proficiency in deep learning models using PyTorch, TensorFlow, or similar frameworks.

SML Generative AI, the force behind Hanooman.ai, is on a mission to democratise the transformative power of generative AI for all. We are pioneering the way multimodal and multilingual foundational models are built, ensuring equitable access for people of all cultures and languages. Further, we are in the pursuit of building “thinking machines” that lead to impactful products across diverse industry verticals. Our objective is to deliver an enterprise-ready full-stack solution that ensures seamless integration with existing systems and processes. By leading the adoption of generative AI among companies, SML aims to usher in a new era of innovation and efficiency. We invite highly motivated, driven and resourceful individuals to join us on this transformative journey. We are looking for candidates with experience in Deployment, Inference & Model Serving Prefered Qualification:<ul><li>2+ Years of experience with MLOPs, specifically in deployment, inference and model serving. We are looking for an IC role at an associate or mid-senior level</li><li>Experience in design, implementation, and maintenance of production service at scale.</li><li>Past experience with deploying Transformer based architectures for inference.</li><li>Strong background in distributed systems, cloud infrastructure</li><li>Strong understanding or working experience with performance benchmarking, profiling, and optimization.</li><li>Candidates with experience in deploying real time speech streaming solutions are prioritised</li></ul>

We are hiring AI/ML with GenAI - 4 to 6 years Walk-in date: 29-June-2024 [Saturday]Time: 10 AM to 4 PMLocation: Hexaware Technologies Ltd, Shanthiniketan, 11th Floor, Crescent - 2 Prestige, Whitefield Main Rd, Mahadevapura, Bengaluru, Karnataka 560048Contact Person: Manoj Kumar. K- TAG Technical Skills:Must have:<ul><li>4-6 relevant years of experience on Python, NLP, Machine Learning and Deep learning</li><li>Minimum 1 year of working experience on Gen AI (ChatGPT, LLAMA 2, etc), Vector databases, Lang Chain, Llama Index, Data pipelines, Data Analytics, PyTorch, Hugging Face, MLOps</li><li>Experience in LLMs fine tuning and deployment</li></ul> How to Register: To express your interest and confirm your participation, please reply to this email with your updated resume attached. Walk-ins are also welcome on the day of the event. This is an excellent opportunity to showcase your skills, network with industry professionals, and explore the exciting possibilities that await you at Hexaware Technologies If you have any questions or require further information, please feel free to reach out to me at manojkumark2@hexaware.com We look forward to meeting you and exploring the potential of having you as a valuable member of our team.

Machine Learning Engineer Jobs in Bengaluru, Karnataka

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Machine Learning Engineer Jobs in Bengaluru, Karnataka

Machine Learning EngineerJuly 20, 2024

Machine Learning EngineerJuly 20, 2024

Senior Machine Learning EngineerJuly 20, 2024

Machine Learning Engineer 3July 15, 2024

Applied Machine Learning EngineerJuly 15, 2024

Machine Learning EngineerJuly 3, 2024

Machine Learning EngineerJuly 1, 2024

Machine Learning EngineerJune 30, 2024

Machine Learning EngineerJune 28, 2024

Quick filters

Top companies

Machine Learning Engineer
July 20, 2024

Machine Learning Engineer
July 20, 2024

Senior Machine Learning Engineer
July 20, 2024

Machine Learning Engineer 3
July 15, 2024

Applied Machine Learning Engineer
July 15, 2024

Machine Learning Engineer
July 3, 2024

Machine Learning Engineer
July 1, 2024

Machine Learning Engineer
June 30, 2024

Machine Learning Engineer
June 28, 2024