11+ Statistical signal processing Jobs in India
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Machine Learning (ML)
Data Science
Deep Learningalong with metrics to track their progress
Managing available resources such as hardware, data, and personnel so that deadlines
are met
Analysing the ML algorithms that could be used to solve a given problem and ranking
them by their success probability
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
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
Defining the pre-processing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper parameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production
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Deliver plugins for our Python-based ETL pipelines
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Deliver Python microservices for provisioning and managing cloud infrastructure
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Implement algorithms to analyse large data sets
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Draft design documents that translate requirements into code
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Effectively manage challenges associated with handling large volumes of data working to tight deadlines
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Manage expectations with internal stakeholders and context-switch in a fast-paced environment
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Thrive in an environment that uses AWS and Elasticsearch extensively
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Keep abreast of technology and contribute to the engineering strategy
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Champion best development practices and provide mentorship to others
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First and foremost you are a Python developer, experienced with the Python Data stack
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You love and care about data
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Your code is an artistic manifest reflecting how elegant you are in what you do
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You feel sparks of joy when a new abstraction or pattern arises from your code
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You support the manifests DRY (Don’t Repeat Yourself) and KISS (Keep It Short and Simple)
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You are a continuous learner
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You have a natural willingness to automate tasks
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You have critical thinking and an eye for detail
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Excellent ability and experience of working to tight deadlines
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Sharp analytical and problem-solving skills
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Strong sense of ownership and accountability for your work and delivery
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Excellent written and oral communication skills
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Mature collaboration and mentoring abilities
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We are keen to know your digital footprint (community talks, blog posts, certifications, courses you have participated in or you are keen to, your personal projects as well as any kind of contributions to the open-source communities if any)
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Delivering complex software, ideally in a FinTech setting
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Experience with CI/CD tools such as Jenkins, CircleCI
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Experience with code versioning (git / mercurial / subversion)
Hiring for Azure Data Engineers.
Location: Bangalore
Employment type: Full-time, permanent
website: www.amazech.com
Qualifications:
B.E./B.Tech/M.E./M.Tech in Computer Science, Information Technology, Electrical or Electronic with good academic background.
Experience and Required Skill Sets:
• Minimum 5 years of hands-on experience with Azure Data Lake, Azure Data Factory, SQL Data Warehouse, Azure Blob, Azure Storage Explorer
• Experience in Data warehouse/analytical systems using Azure Synapse.
Proficient in creating Azure Data Factory pipelines for ETL processing; copy activity, custom Azure development, Synapse, etc.
• Knowledge of Azure Data Catalog, Event Grid, Service Bus, SQL, and Purview.
• Good technical knowledge in Microsoft SQL Server BI Suite (ETL, Reporting, Analytics, Dashboards) using SSIS, SSAS, SSRS, Power BI
• Design and develop batch and real-time streaming of data loads to data warehouse systems
Other Requirements:
A Bachelor's or Master's degree (Engineering or computer-related degree preferred)
Strong understanding of Software Development Life Cycles including Agile/Scrum
Responsibilities:
• Ability to create complex, enterprise-transforming applications that meet and exceed client expectations.
• Responsible for the bottom line. Strong project management abilities. Ability to encourage the team to stick to timelines.
Machine Learning (ML)Data ScienceDeep LearningResponsibilities include:
- Convert the machine learning models into application program interfaces (APIs) so that other applications can use it
- Build AI models from scratch and help the different components of the organization (such as product managers and stakeholders) understand what results they gain from the model
- Build data ingestion and data transformation infrastructure
- Automate infrastructure that the data science team uses
- Perform statistical analysis and tune the results so that the organization can make better-informed decisions
- Set up and manage AI development and product infrastructure
- Be a good team player, as coordinating with others is a must
Data ScienceMachine Learning (ML)From building entire infrastructures or platforms to solving complex IT challenges, Cambridge Technology helps businesses accelerate their digital transformation and become AI-first businesses. With over 20 years of expertise as a technology services company, we enable our customers to stay ahead of the curve by helping them figure out the perfect approach, solutions, and ecosystem for their business. Our experts help customers leverage the right AI, big data, cloud solutions, and intelligent platforms that will help them become and stay relevant in a rapidly changing world.
No Of Positions: 1
Skills required:
- The ideal candidate will have a bachelor’s degree in data science, statistics, or a related discipline with 4-6 years of experience, or a master’s degree with 4-6 years of experience. A strong candidate will also possess many of the following characteristics:
- Strong problem-solving skills with an emphasis on achieving proof-of-concept
- Knowledge of statistical techniques and concepts (regression, statistical tests, etc.)
- Knowledge of machine learning and deep learning fundamentals
- Experience with Python implementations to build ML and deep learning algorithms (e.g., pandas, numpy, sci-kit-learn, Stats Models, Keras, PyTorch, etc.)
- Experience writing and debugging code in an IDE
- Experience using managed web services (e.g., AWS, GCP, etc.)
- Strong analytical and communication skills
- Curiosity, flexibility, creativity, and a strong tolerance for ambiguity
- Ability to learn new tools from documentation and internet resources.
Roles and responsibilities :
- You will work on a small, core team alongside other engineers and business leaders throughout Cambridge with the following responsibilities:
- Collaborate with client-facing teams to design and build operational AI solutions for client engagements.
- Identify relevant data sources for data wrangling and EDA
- Identify model architectures to use for client business needs.
- Build full-stack data science solutions up to MVP that can be deployed into existing client business processes or scaled up based on clear documentation.
- Present findings to teammates and key stakeholders in a clear and repeatable manner.
Experience :
2 - 14 Yrs
Machine Learning (ML)Data ScienceAbout Thriving Springs:
Have you ever wondered, what does it take to succeed at the workplace ? Is it only technical skills or do behavior skills also play a role ?
Research suggests that 85% of job success depends on soft and behavioral skills and this is where Thriving Springs plays a critical role by helping organizations, teams and individuals build these skills and unlock their highest potential and achieve an all round success. It does this by assessing current levels of soft and behavioral skills and then helping in growing them through Thriving Springs’s innovative smart platform that combines the power of emotional intelligence (EI) with artificial intelligence (AI) and machine learning (ML).
Why join Thriving Springs?
While there are many companies, however, companies that are built with a clear purpose and mission to take humanity forward are rare. Thriving Springs - An Edtech startup is one of the pioneers in driving human productivity, fulfillment and success forward through empowering millions of working professionals globally with soft and behavioral skills and assisting them in the flow of work. Thriving Springs is leading a worldwide and purpose-led movement to drive success at the workplace and we invite you to join this fun and adventurous journey with us.
Culture, Rewards and Benefits:
A great culture is created when everybody in the company has great opportunities, creates meaningful impact and contributes to the good of society - Larry Page - Founder - Google
The founders of Thriving Springs come from Google and have built a Google-like culture within Thriving Springs where every team member experiences freedom and autonomy to pursue their ideas that have a deep impact and will shape the future of workplace learning. The culture at Thriving Springs is deeply rooted in emotional intelligence where there is an emphasis on collaboration, empathy and winning together as one team.
The candidate will receive an attractive total compensation package including a competitive fixed salary, performance bonuses and ESOPs translating into non-incremental gains as the company grows into a potential unicorn. In addition, every member will receive medical and health insurance.
Location: Hyderabad, India
Qualifications:
BTech/BE in computer science, electrical, electronics or related fields 5+ years of full stack design and development experience High emotional intelligence, empathy and collaborative approach. Experience in Angular Javascript frameworks, CSS, HTML5, NodeJS, ExpressJS, MongoDB to handle full stack web development. Experience with developing rich dynamic front end applications using Angular and CSS frameworks like BulmaCSS, Angular Material, Bootstrap, etc. Knowledge of GraphQL would be an added advantage. Knowledge of Cloud services like AWS, Heroku, Azure is preferable. Should be a quick learner to keep up with the pace of the ever changing world of technology as the candidate will get excellent exposure to the latest and trending Cloud based Saas technologies and best practices while working with varied customers based across the globe.
Responsibilities:
Develop web applications covering end to end software development life cycle right from writing UI code using Angular to backend API code using NodeJS and managing databases like MongoDB, MySQL, etc. Involved in full stack code management from Git check-ins to running automated builds and deployments using DevOps practices to deploy to public cloud services like AWS, Azure, Heroku, etc. Handling full-stack web development workflow right from front end to backend to CI/CD workflows. Design and Develop the tech architecture and work closely with CEO and CTO of the company Drive and guide with work of other engineers on the team
This is a leadership role and candidate is expected to wear multiple technical hats including customer interactions and investor discussions
Job Description
The applicant must have a minimum of 5 years of hands-on IT experience, working on a full software lifecycle in Agile mode.
Good to have experience in data modeling and/or systems architecture.
Responsibilities will include technical analysis, design, development and perform enhancements.
You will participate in all/most of the following activities:
- Working with business analysts and other project leads to understand requirements.
- Modeling and implementing database schemas in DB2 UDB or other relational databases.
- Designing, developing, maintaining and Data processing using Python, DB2, Greenplum, Autosys and other technologies
Skills /Expertise Required :
Work experience in developing large volume database (DB2/Greenplum/Oracle/Sybase).
Good experience in writing stored procedures, integration of database processing, tuning and optimizing database queries.
Strong knowledge of table partitions, high-performance loading and data processing.
Good to have hands-on experience working with Perl or Python.
Hands on development using Spark / KDB / Greenplum platform will be a strong plus.
Designing, developing, maintaining and supporting Data Extract, Transform and Load (ETL) software using Informatica, Shell Scripts, DB2 UDB and Autosys.
Coming up with system architecture/re-design proposals for greater efficiency and ease of maintenance and developing software to turn proposals into implementations.
Need to work with business analysts and other project leads to understand requirements.
Strong collaboration and communication skills
Machine Learning (ML)Deep LearningJob Description :
Sr. Machine Learning Engineer will support our various business vertical teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Accountabilities :
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
Skills & Requirements :
Technical Skills :
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python, Pyomo, Julia/Jump, Matlab, SAS,SQL)
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
- Profound understanding of skills like outlier handling, data imputation, bias, variance, cross validation etc.
- Demonstrated skill in modeling techniques, including but not limited to Predictive modeling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing, Recommendation engines,
- Demonstrated skill in analytic prototyping, analytic scaling, and solutions integration
- Developing hypotheses and set up your own problem frameworks to test for the best solutions
- Knowledge of data visualization tools - ggplot, Dash, d3.js and Matplottlib (or any other data visualization like Tableau, Qlikview)
- Generating insights for a business context
Desirable :
- Experience with cloud technologies for building, deploying and delivering data science applications is desired (preferably in Microsoft Azure)
- Experience in Tensorflow, Keras, Theano, Text Mining is desirable but not mandatory
- Experience to work in Agile and DevOps processes.
Core Skills :
- Bachelor or master degree in information technology, computer science, business administration or a related discipline.
- Certified in Agile Product Owner / SCRUM master and/or other Agile techniques
Leadership Skills :
- Strong stakeholder management and influencing skills. Able to articulate a vision and build support for that vision in the wider team and organization.
- Ability to self-start and direct efforts based on high-level business objectives
- Strong collaboration and leadership skills with the ability to coach and develop teams to meet new challenges.
- Strong interpersonal, communication, facilitation and presentation skills.
- Work through complex interfaces across organizational and geographic boundaries
- Excellent analytical, planning and problem solving skills
Job Experience Requirements :
- Utilize an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Life cycle and execute end-to-end Data Science project
- Work end-to-end on Data Science developments contributing to all aspects of the project life cycle
- Keep customers as focus of analysis insight and recommendation.
- Help define business objectives/customer needs by capturing the right requirements from the right customers.
- Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses and driving experiments
- Can identify unstructured problems and articulate opportunities to form new analytics project ideas
- Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
- Compile integrate and analyze data from multiple sources to identify trends expose new opportunities and answer ongoing business questions
- Execute hypothesis-driven analysis to address business questions issues and opportunities
- Build validate and manage advanced models (e.g. explanatory predictive) using statistical and/or other analytical methods
- Are familiar working within Agile Project Management methodologies / structures
- Analyze results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
- Have the ability to conceptualize formulate prototype and implement algorithms to capture customer behavior and solve business problems
- Analyze results using statistical methods to make recommendations to improve customer experience and business results
Data ScienceMachine Learning (ML)
Python
R ProgrammingTiger Analytics is a global AI & analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modeled around expertise and mutual respect with a team first mindset. Working at Tiger, you’ll be at the heart of this AI revolution. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.
We are headquartered in the Silicon Valley and have our delivery centres across the globe. The below role is for our Chennai or Bangalore office, or you can choose to work remotely.
About the Role:
As an Associate Director - Data Science at Tiger Analytics, you will lead data science aspects of endto-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
• Work closely with internal teams and client stakeholders to design analytical approaches to
solve business problems
• Develop and enhance a broad range of cutting-edge data analytics and machine learning
problems across a variety of industries.
• Work on various aspects of the ML ecosystem – model building, ML pipelines, logging &
versioning, documentation, scaling, deployment, monitoring and maintenance etc.
• Lead a team of data scientists and engineers to embed AI and analytics into the client
business decision processes.
Desired Skills:
• High level of proficiency in a structured programming language, e.g. Python, R.
• Experience designing data science solutions to business problems
• Deep understanding of ML algorithms for common use cases in both structured and
unstructured data ecosystems.
• Comfortable with large scale data processing and distributed computing
• Excellent written and verbal communication skills
• 10+ years exp of which 8 years of relevant data science experience including hands-on
programming.
Designation will be commensurate with expertise/experience. Compensation packages among the best in the industry.
Java-
Owns the end to end implementation of the assigned data processing components/product features i.e. design, development, dep
loyment, and testing of the data processing components and associated flows conforming to best coding practices -
Creation and optimization of data engineering pipelines for analytics projects.
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Support data and cloud transformation initiatives
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Contribute to our cloud strategy based on prior experience
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Independently work with all stakeholders across the organization to deliver enhanced functionalities
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Create and maintain automated ETL processes with a special focus on data flow, error recovery, and exception handling and reporting
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Gather and understand data requirements, work in the team to achieve high-quality data ingestion and build systems that can process the data, transform the data
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Be able to comprehend the application of database index and transactions
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Involve in the design and development of a Big Data predictive analytics SaaS-based customer data platform using object-oriented analysis
, design and programming skills, and design patterns -
Implement ETL workflows for data matching, data cleansing, data integration, and management
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Maintain existing data pipelines, and develop new data pipeline using big data technologies
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Responsible for leading the effort of continuously improving reliability, scalability, and stability of microservices and platform
Python
Scala
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