Machine Learning/ NLP EngineersMumbai, India WHO WE ARE:TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives through AI and investment intelligence-powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes.We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes.In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions. OUR VALUES: Go with your GUT● Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses.●Understanding through Listening and Speaking the Truth. We value transparency. We communicate with radical candor, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully.●I Win for Teamwin. We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together. Responsibilities: <ul><li>Drive the research and innovation in a result-oriented direction. </li><li>Stay up to date with the latest research trends, have a high level of curiosity and keep exploring advancements in NLU and their applications in conversational AI. </li><li>Mentor other team members during the experimentation phase and help them narrow down the inconclusive direction. </li><li>Come up with ideas to improve NLU capabilities using transfer learning from historical conversational data. </li><li>Benchmark the prototype on Data to gain the required precision. </li><li>Perform in-depth analysis of failure points of the algorithm on different environments. </li><li>Foresee data requirements for future research projects and come up with innovative approaches for data generation. </li><li>Scale models for multiple domains with the help of DevOps, backend and frontend teams. </li><li>Publish and present successful research in relevant journals and conferences. </li></ul> Requirements: <ul><li>Experience with training and fine-tuning machine learning models on large text datasets. </li><li>Strong computer science fundamentals and 3+ years of software development experience. </li><li>Track record of thinking big and finding simple solutions while dealing with ambiguity. </li><li>Proven experience as a Natural Language Processing Engineer or other similar roles. </li><li>Good understanding of Natural Language Processing tricks and techniques for semantic extraction, data structure, and modelling. </li><li>Understanding of text representation techniques, algorithms, and statistics Familiarity with R language, Python, and Java. </li><li>Good knowledge of Machine Learning frameworks such as eras, PyTorch, etc. </li><li>Ability to code and design software architectures. </li><li>Problem-solving abilities, communication skills, and analytical mind.</li><li>Proven and successful experience on at least one of the projects amongst information retrieval, machine comprehension, entity recognition, text classification, semantic frame parsing or machine translation. </li><li>Relevant publications, patents or talks delivered at reputed conferences are a bonus. ∙</li></ul> Work Ex: 4+ years BENEFITS PACKAGE:TIFIN offers a competitive benefits package that includes:· Performance Linked variable compensation.· Medical insurance· Tax-saving benefits· Flexible PTO policy and Company-paid holidays· Parental Leave: 6 months paid maternity,2 weeks paid paternity Leave A note on location. While we have team centres in Boulder, New York City, San Francisco, Charlotte, and Bangalore, this role is based out of Mumbai. TIFIN is proud to be an equal-opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status. Read less

We are on the lookout for a Data Scientist with a deep focus on Large Language Models (LLM), General AI, Machine learning and specialized knowledge in deploying these technologies via APIs using Flask, FastAPI, or Django. This role requires a keen understanding of the latest in AI, including familiarity with Langchain and LlamaIndex for advanced LLM deployment. The ideal candidate will lead our efforts in leveraging LLM for innovative applications, ensuring scalable and efficient model deployment.Responsibilities:<ul><li>Lead the development and deployment of LLM and General AI models, focusing on scalable solutions.</li><li>Specialize in API development for LLM deployment using Flask, FastAPI, or Django, ensuring seamless integration into our products.</li><li>Design, construct, install, test, and maintain highly scalable data management systems, ensuring robust data pipelines for AI deployments.</li><li>Implement data ingestion routines both from within and outside the company, ensuring data quality and accessibility for advanced analytics.</li><li>Demonstrate a deep understanding of Langchain and LlamaIndex for cutting-edge LLM applications.</li><li>Collaborate with product teams and stakeholders to implement AI-driven solutions that meet business needs.</li><li>Stay updated with AI advancements, particularly in LLM and deployment methodologies, to keep our solutions innovative.</li></ul> Qualifications:<ul><li>Expertise in LLM, General AI, and the deployment of AI models.</li><li>Strong experience in API development with Flask, FastAPI, or Django.</li><li>Knowledge of Langchain and LlamaIndex for LLM applications.</li><li>Expertise in AI and ML development tools, frameworks, and libraries (TensorFlow, PyTorch, GPT, etc.).</li><li>Proven ability in data engineering, including managing data pipelines, databases, and real-time data processing systems.</li><li>Proficient in Python and familiar with AI/ML libraries and frameworks.</li><li>Innovative thinker with excellent problem-solving capabilities.</li><li>BSc/BA in Computer Science, Engineering, or related; a graduate degree in a relevant area is highly preferred.</li></ul>

Role: Senior Machine Learning EngineerExperience Level: 4-7 YearsLocation: Mumbai/Bangalore Roles and Responsibilities: ● Good analytical skills, with expertise in analytical tool-kits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.● Hands-on with Python/R programming and knowledge of machine learning tools like Scikit Learn, Pandas, TensorFlow, Pytorch, Keras, OpenCV, XGBoost etc.● Computer Vision: Image preprocessing, image matching/comparison using SIFT/SURF/ORB, Object detection (Faster RCNN, YOLO, SSD, etc.), Image similarity (Siamese network), Image classification.● NLP: Vector Space modeling in NLP, LSTMS, Sequence modeling, Attention modeling, BERT, Transformers. Using the above mentioned techniques performing Document classification, Semantic similarity, NER, Sentiment Analysis● Time Series Analysis using ARIMA, SARIMA, LSTMs, etc.● Knowledge of statistical modelling and popular machine learning models.● Feature engineering, Feature selection/Feature importance, Dimensionality● Reduction (PCA, etc.), Hyperparameter tuning, Ensembling techniques like Bagging, Boosting, Stacking● Should possess knowledge of multiple cloud platforms (GCP-Preferable, Azure or AWS) and machine learning services offered by them.● Critical eye for the quality of data and strong desire to get it right.● A pleasantly forceful personality and charismatic communication style. Skills Required: ● Experience in building end to end machine learning pipelines, deployment using any ML Ops Framework (Kube Flow Pipelines, Vertex AI), model performance monitoring, CI/CD.● Experience in GCP based ML solutions and services like Contact Center AI, Vertex AI, Document AI, Speech-to-Text, Text-to Speech, Natural Language, Dialog Flow, AutoML, Vision, Video Intelligence, Base OCR, Form Parser, Invoice Parser, etc.● Ability to multitask and work on multiple engagements related to different domains.● Be able to pick up newer technologies in a short span of time● Work in a highly collaborative environment by interacting with the stakeholders and various IT teams within the company to facilitate design and development of ML/AI solutions.● Be responsible for the successful delivery of all allocated projects with respect to schedule, quality and customer satisfaction.● Follow Agile standards and methodologies in all phases of the project.● Ensure excellence in delivery to customers● Self-driven individuals with a passion for research and development and the zest for solving what matters. What’s in it for you? ● The experience of working in a category defining high growth startups in the transformational AI, Decision Science and Big Data Domain.● The opportunity of getting on boarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation● The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients.● An ergonomic and beautiful working space in the heart of Mumbai open for you 24 hours

Company DescriptionCodeArray Technologies Pvt Ltd is a leading software development agency located in Mumbai. We specialize in custom software development, web and mobile app development, quality assurance, and maintenance and support services. Our focus is on turning our client's visions into impactful software solutions that enhance efficiency and productivity. We have an experienced team and have worked with some of the best innovative ideas and brands in the world across industries. Role DescriptionThis is a full-time on-site role for a Machine Learning Engineer. The Machine Learning Engineer will be responsible for developing and implementing machine learning algorithms, analyzing data, building predictive models, and creating software products. The Machine Learning Engineer will work closely with cross-functional teams and provide technical guidance. Key ResponsibilitiesDesign and Implement machine learning applications as per the requirements.Develop machine learning applications according to requirementsSelect appropriate datasets and data representation methodsRun machine learning tests and experimentsStudy and transform data science prototypesResearch and implement appropriate ML algorithms and toolsPerform statistical analysis and fine-tuning using test resultsTrain and retrain systems when necessaryExtend existing ML libraries and frameworksKeep abreast of developments in the field QualificationsRequired Experience/Skills:3+ years of Experience designing anf building ML systemsUnderstanding of data structures, data modeling and software architectureDeep knowledge of math, probability, statistics and algorithmsAbility to write robust code in Python, C# , F#, and RSound knowledge about ML frameworks (like tensorflow or Keras or PyTorch) and libraries (like scikit-learn)Excellent communication skillsAbility to work in a teamOutstanding analytical and problem-solving skillsBSc in Computer Science, Mathematics or similar field; Master’s degree is a plusKnowledge about Vision technologies like Azure vision is a plus.

About SiClarity Software Solutions Pvt Ltd. SiClarity is a US-based organization with Headquarters in Palo Alto, CA. We are in the Electronic Design Automation (EDA) domain catering to the modern needs of the semiconductor chip design and fabrication industry. Our software solutions are focused on adding modern AI techniques to accelerate Electronic Design Automation development.	Roles and Responsibilities:We are seeking highly skilled AI/ML Engineers to join our team. The ideal candidate will have a strong background in machine learning algorithms and experience implementing AI models in production environments. Responsibilities include developing and deploying machine learning solutions, optimizing algorithms for performance and scalability, and collaborating with cross-functional teams to deliver innovative AI-driven products.	 Desired Candidate Profile:·       Bachelor’s degree in Computer Science, Software Engineering, or a related field.·       5 years of IT experience with 3 years of Experience in ML Engineer or similar role·       Proficiency in machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and neural networks.·       Experience with popular machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, Keras, etc.·       Strong programming skills in languages commonly used in AI/ML development, such as Python or R.·       Experience with data preprocessing, feature engineering, and data visualization techniques.·       Knowledge of cloud platforms and services for AI/ML, such as AWS, Azure, or Google Cloud Platform.·       Familiarity with big data technologies and tools, including Apache Spark, Hadoop, and distributed computing frameworks.·       Proficiency in data wrangling, manipulation, and analysis using SQL and/or NoSQL databases.·       Understanding of natural language processing (NLP) techniques and tools for text mining and sentiment analysis.·       Experience with model deployment and serving using containerization technologies like Docker and orchestration tools like Kubernetes.·       Knowledge of software development best practices, version control systems (e.g., Git), and agile methodologies.·       Understanding of various domains where AI/ML techniques are applied, such as computer vision, natural language processing, recommendation systems, predictive analytics, etc.·       Strong problem-solving and analytical skills, with the ability to approach complex issues systematically.·       Excellent communication and collaboration skills, with the ability to explain technical concepts to non-technical stakeholders.·       Adaptability and willingness to learn new technologies and methodologies in a rapidly evolving field.·       Ability to work effectively both independently and as part of a team, with a focus on achieving common goals.

ML Data Engineer, Railofy About the Team & Role:Railofy is solving the largest problems for Indian Railway passengers (90% of Indians travel by trains) - waitlisted tickets and quality of food in trains. We are a young team of technologists who have made a significant breakthrough in this field using Machine Learning, in order to create a major impact in the lives of Indians. ML Data Engineers at Railofy lead all the processes from data collection, cleaning, and preprocessing, to managing the infra and deploying models to production. The ideal candidate will be passionate about big data and stay up-to-date with the latest developments in the field.The Data Science team works on proprietary data sets (tabular) building classical machine learning models & recommendation systems. What will you get to do here?<ol><li> Understanding and building expertise in the domain</li><li> Managing available resources such as hardware, data, and personnel so that deadlines are met</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> Verifying data quality, and/or ensuring it via data cleaning</li><li> Supervising the data acquisition process if more data is needed</li><li>Defining validation strategies</li><li> Defining the preprocessing or feature engineering to be done on a given dataset</li><li> Defining data augmentation pipelines</li><li> Training models and tuning their hyperparameters</li><li> Deploying models to production and monitoring production systems</li></ol> What qualities are we looking for?<ol><li> Proficiency with Python and libraries for machine learning such as scikit-learn, pandas, numPy, matplotlib, seaborn and keras/tensorflow</li><li> Proficiency with PostgreSQL, ElasticSearch, Kibana, Redis and Big Data technologies</li><li> Proficiency with Cloud computing on AWS using services like EC2, S3, ECS, Lambda and RDS</li><li> Expertise in visualizing and manipulating big datasets</li><li> Ability to select hardware to run an ML model with the required latency at scale</li><li> Computer Science or IT Engineering background with solid understanding of basics of Data Structures and Algorithms</li><li> 5-10 years of data science experience</li><li> You love coding like a hobby, strive to code in a clean and structured manner with time and space complexities in mind and are up for a challenge!</li><li> Motivation to join an early stage startup should go beyond compensation</li></ol> Location: Mumbai/Remote

Total years of experience - 3 to 6 years Responsibilities:Knowledge of common data science techniques including data preparation, exploration and visualisation.Knowledge of data mining techniques in one or more areas of statistical modelling methods, time series, text mining, optimization, information retrieval.Ability to produce workflows using classification, clustering, regression, and dimensionality reduction. Ability to prototype statistical analysis and modelling algorithms and apply these algorithms for data driven solutions to problems in new domains. Ability to prototype statistical analysis and modelling algorithms and apply these algorithms for data driven solutions to problems in new domains. Knowledge of industry best practice in deploying data science solutionsStrong knowledge of the AWS Well Architected Framework(s) Experience: 3-4 years commercial analytical experienceDegree in STEM or equivalentData modelling skills; Strong awareness of the appropriate application of de-normalisation, aggregation, warehousing and data lakesExperience building and deploying API’s.Experience with AWS, Azure in development and productionExperience with Big Data Ecosystem (Hadoop)Experience maintaining production grade workflowsConsultative experience in data science, engineering or machine learning

About the role:In this role you will:<ul><li>Be working on all aspects of a production machine learning system. You will be acquiring data, training and building models, deploying models, building API services for exposing these models, maintaining them in production, and more.</li><li>Work on performance tuning of models</li><li>From time to time work on support and debugging of these production systems</li><li>Work on researching the latest technology in the areas of our interest and applying it to build newer products and enhancement of the existing platform.</li><li>Building workflows for training and production systems</li><li>Contribute to documentation While the emphasis will be on researching, building and deploying models into production, you will be expected to contribute to aspects mentioned above.</li></ul> About you:You are a mid-career machine learning engineer(or data scientist). Our ideal candidate is someone with 3-8 years of experience in data science & expert in NLP techniques and LLMs. Must Haves <ul><li>You should be experienced in framing and solving problems with the application of machine learning or deep learning models. </li><li>Knowledge of and experience in NLP. You should have worked on this in a production environment. </li><li>You have experienced that and understand that modeling is only a small part of building and delivering AI solutions and know what it takes to keep a high-performance system up and running. </li><li>Our usage of libraries and tooling is oriented around Python, Tensorflow and Pytorch, so we would like you to have a good understanding of and experience in applying these. </li><li>We build our own services, hence we would expect you to have knowledge of writing APIs. </li><li>will require</li></ul> Good to Have <ul><li>Our stack also includes languages like Ruby, Node and Elixir. We would love it if you know any of these or take interest in functional programming. </li><li>Knowledge of and experience in ML Ops and tooling would be a welcome addition. We use Docker and Kubernetes for deploying our services. </li><li>Experience in using any other platform, frameworks, tools. </li></ul> Life At IDfy People at IDfy care about creating value. We take pride in the strong collaborative culture that we have built, and our love for solving challenging problems. Life at IDfy is not always what you’d expect at a tech start-up that’s growing exponentially every quarter. There’s still time and space for balance. We host regular talks, events and performances around Life, Art, Sports, and Technology; continuously sparking creative neurons in our people to keep their intellectual juices flowing. There’s never a dull day at IDfy. The office environment is casual and it goes beyond just the dress code. We have no conventional hierarchies and believe in an open-door policy where everyone is approachable Who we areIDfy is an Integrated Identity Platform that eliminates fraud and establishes trust between entities. Our solutions help companies accurately identify people, run background checks, conduct KYC, mitigate lending risks, onboard associates, and so much more. If you have opened an account with HDFC Bank, ordered from Amazon and Zomato, transacted through Paytm and BharatPe, or played on Dream11 and MPL, you might have already experienced IDfy. Without even knowing it. Well…that’s just how we roll! Since its inception in 2011, IDfy has impacted more than 150 million lives. Today, we run 60 million+ verifications for 1300+ clients across India, Southeast Asia, and the Middle East, every month. Recently, IDfy was named by Forbes magazine as one of 100 Asian companies to watch in 2023. Besides this, IDfy has been a recipient of several accolades such as Deloitte Technology Fast 50, 2022 India Winner, Fintech ScaleUp of the Year, Best RegTech Implementation, and Innovator in Video Solutions for Financial Services. Some of our notable investors include TransUnion and international venture capitalists like MegaDelta Capital, BEENEXT, and Dream Incubator. Blume Ventures is an early investor and continues to place their faith in us.

Machine Learning Engineer Jobs in Mumbai, Maharashtra

Machine Learning Engineer
May 3, 2024

Generative Ai And Machine Learning Engineer
April 24, 2024

Senior Machine Learning Engineer
April 24, 2024

Machine Learning Engineer
April 20, 2024

Machine Learning Engineer
April 19, 2024

Machine Learning Engineer
April 16, 2024

Machine Learning Engineer
April 11, 2024

Senior Machine Learning Engineer
April 8, 2024

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Machine Learning Engineer Jobs in Mumbai, Maharashtra

Machine Learning EngineerMay 3, 2024

Generative Ai And Machine Learning EngineerApril 24, 2024

Senior Machine Learning EngineerApril 24, 2024

Machine Learning EngineerApril 20, 2024

Machine Learning EngineerApril 19, 2024

Machine Learning EngineerApril 16, 2024

Machine Learning EngineerApril 11, 2024

Senior Machine Learning EngineerApril 8, 2024