Location: BengaluruQualification: MS in Computer Science, strong knowledge of machine learning, and 5+ years of relevant experience in the industry and/or academia OR PhD in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related quantitative field and strong knowledge of machine learning.2 +/- years of experience using a mainstream programming language (C++, Java, Python, or similar).2 +/- years of experience using object-oriented programming, data structures and algorithms, and software system design.2 +/- years of experience using a broad set of supervised and unsupervised ML approaches and techniques ranging from Regression to Deep Neural Networks.Proven track record of successfully applying ML-based solutions to complex problems in business, science, or engineering.Interested candidates can check detailed requirements here. Location: Bengaluru, KarnatakaQualification Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.Experience executing, analyzing, and optimizing neural networks in TensorFlow, Caffe2, PyTorch, or similar frameworks.Background and understanding of neural network operators and mathematical operations: linear algebra, math libraries, desirable.Experience with industry-standard and emerging ML benchmark suites such as MLPerf is desirable. Experience/understanding of machine learning execution engines such as Glow, ONNX Runtime, or similar a plus. Experience with machine learning accelerators and related software a plus. Interested candidates can check detailed requirements here. Location: Bengaluru, KarnatakaQualification: Bachelor's degree in computer science, computer engineering or related technical disciplineOverall, 10 to 15 years of programming experience with at least one modern language such as Scala, Java, Python, Go, C++, or C#, including object-oriented designSystem Design and Architecture: 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.Data handling frameworks: Should have a working knowledge of one or more data handling frameworks like- Hive, Spark, Storm, Flink, Beam, etc.Interested candidates can check detailed requirements here. Location: MumbaiQualification: Bachelor’s Degree from an accredited higher learning institution required or equivalent combination of experience and education2-5 years experience as a data analyst, data engineer, data scientist, business analysis or related quantitative analyst2+ years of experience in the financial services industryStrong analytical and reasoning skills; able to decompose complex problems and projects into manageable pieces; comfortable suggesting and presenting solutionsComfortable working in a large organization and interfacing with a broad set of stakeholders across various functions (i.e., Business, IT, Operations)Excellent verbal and written communication skills presenting complex analytical results to both technical and non-technical audiencesInterested candidates can check detailed requirements hereLocation: PuneQualification: BS degree in Computer Science or other engineering discipline.5+ years of experience working as a Data Engineer or a similar role.2+ years of experience working with marketing data analytics or sourcing data from marketing systemsVery strong experience in SQL and dimensional modelingHands-on experience working with data warehouse technologies (Snowflake, Redshift) and Big Data technologies (e.g Hadoop, Hive, Spark)Hands-on experience building data pipelines using ETL tools (e.g. Informatica, Matillion, Snaplogic) sourcing data from SaaS applicationsProficiency with PythonInterested candidates can check detailed requirements here. Location: PuneQualification: Minimum 6+ years of experience in Big Data technologiesMinimum 4+ years of experience in Python and Scala programmingExperience in developing applications on Big Data and Cognitive technologies, including API developmentApplication Development background along with knowledge of Analytics libraries, open-source Natural Language Processing, statistical and big data computing librariesExpertise in Spark, Scala, and Kafka technologiesLocation: BengaluruQualification: Overall, 8-14 years of working experience with preferably five years in a single domain at senior levels.Domain Expertise: The candidate should have a good hold on one or more domains as listed: Communication & Media, Retail, CPG, BFSI, Utilities, Automobiles.Ability to perform statistical modelling (predictive, regression, hypotheses testing, multivariate analysis, Time Series, Cluster, forecasting, ARIMA) using R/ Python.Interested candidates can check detailed requirements here. Location: RemoteQualification: Minimum 3 years of prior experience in data science, and designing for data modelsSound knowledge of statistics and data modelling. Exposure to varied modelling experience is a plusExperience with analytical tools (R/Python/SQL).Interested candidates can check more details here.