About Nextalytics Software Services Pvt Ltd
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Roles & Responsibilities:
-Adopt novel and breakthrough Deep Learning/Machine Learning technology to fully solve real world problems for different industries. -Develop prototypes of machine learning models based on existing research papers.
-Utilize published/existing models to meet business requirements. Tweak existing implementations to improve efficiencies and adapt for use-case variations.
-Optimize machine learning model training and inference time. -Work closely with development and QA teams in transitioning prototypes to commercial products
-Independently work end-to-end from data collection, preparation/annotation to validation of outcomes.
-Define and develop ML infrastructure to improve efficiency of ML development workflows.
Must Have:
- Experience in productizing and deployment of ML solutions.
- AI/ML expertise areas: Computer Vision with Deep Learning. Experience with object detection, classification, recognition; document layout and understanding tasks, OCR/ICR
. - Thorough understanding of full ML pipeline, starting from data collection to model building to inference.
- Experience with Python, OpenCV and at least a few framework/libraries (TensorFlow / Keras / PyTorch / spaCy / fastText / Scikit-learn etc.)
- Years with relevant experience:
5+ -Experience or Knowledge in ML OPS.
Good to Have: NLP: Text classification, entity extraction, content summarization. AWS, Docker.
Designation – Deputy Manager - TS
Job Description
- Total of 8/9 years of development experience Data Engineering . B1/BII role
- Minimum of 4/5 years in AWS Data Integrations and should be very good on Data modelling skills.
- Should be very proficient in end to end AWS Data solution design, that not only includes strong data ingestion, integrations (both Data @ rest and Data in Motion) skills but also complete DevOps knowledge.
- Should have experience in delivering at least 4 Data Warehouse or Data Lake Solutions on AWS.
- Should be very strong experience on Glue, Lambda, Data Pipeline, Step functions, RDS, CloudFormation etc.
- Strong Python skill .
- Should be an expert in Cloud design principles, Performance tuning and cost modelling. AWS certifications will have an added advantage
- Should be a team player with Excellent communication and should be able to manage his work independently with minimal or no supervision.
- Life Science & Healthcare domain background will be a plus
Qualifications
BE/Btect/ME/MTech
You will:
- Create highly scalable AWS micro-services utilizing cutting edge cloud technologies.
- Design and develop Big Data pipelines handling huge geospatial data.
- Bring clarity to large complex technical challenges.
- Collaborate with Engineering leadership to help drive technical strategy.
- Project scoping, planning and estimation.
- Mentor and coach team members at different levels of experience.
- Participate in peer code reviews and technical meetings.
- Cultivate a culture of engineering excellence.
- Seek, implement and adhere to standards, frameworks and best practices in the industry.
- Participate in on-call rotation.
You have:
- Bachelor’s/Master’s degree in computer science, computer engineering or relevant field.
- 5+ years of experience in software design, architecture and development.
- 5+ years of experience using object-oriented languages (Java, Python).
- Strong experience with Big Data technologies like Hadoop, Spark, Map Reduce, Kafka, etc.
- Strong experience in working with different AWS technologies.
- Excellent competencies in data structures & algorithms.
Nice to have:
- Proven track record of delivering large scale projects, and an ability to break down large tasks into smaller deliverable chunks
- Experience in developing high throughput low latency backend services
- Affinity to spatial data structures and algorithms.
- Familiarity with Postgres DB, Google Places or Mapbox APIs
What we offer
At GroundTruth, we want our employees to be comfortable with their benefits so they can focus on doing the work they love.
- Unlimited Paid Time Off
- In Office Daily Catered Lunch
- Fully stocked snacks/beverages
- 401(k) employer match
- Health coverage including medical, dental, vision and option for HSA or FSA
- Generous parental leave
- Company-wide DEIB Committee
- Inclusion Academy Seminars
- Wellness/Gym Reimbursement
- Pet Expense Reimbursement
- Company-wide Volunteer Day
- Education reimbursement program
- Cell phone reimbursement
- Equity Analysis to ensure fair pay
JOB DESCRIPTION
It is an app that allows offline businesses to sell their products and services online. On our app, the users can make beautiful product catalogues (catalogs) right from a smartphone and share with their customers easily on different social media apps such as Whatsapp Business, Whatsapp, Facebook, Instagram etc. Praised by users all over India, thisapp has saved declining businesses by helping them transfer their shop online. The journey has just begun and we are on a mission to make India truly Digital. They are currently powering over 3.7 M ecommerce stores built by indian small businesses
and growing at a crazy rate.
We are looking for a full-stack developer to join our team who will be part of our new innovations team.
Responsibilities:
- Rapidly developing new user-facing features & product prototypes using React.js & Django.
- Will be responsible for new product prototypes, quick feature ideations & rapid response for critical issues
- Work on the their frontend store - Built with react & nextjs.
- Work on their backend - Built with Python Django & DRF
- Collaborate with existing team on our Android apps
Requirements:
- Familiarity with React & Next Js for frontend.
- Proficiency in backend development with Python Django & DRF
- Familiarity with Postgres, Elasticsearch & Mongo.
- Familiarity with Android app development with Native JAVA
- Familiarity with REST APIs architecture & working with third party APIs.
- Participate in full machine learning Lifecycle including data collection, cleaning, preprocessing to training models, and deploying them to Production.
- Discover data sources, get access to them, ingest them, clean them up, and make them “machine learning ready”.
- Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
- Partner with data scientists to understand and implement machine learning algorithms.
- Support A/B tests, gather data, perform analysis, draw conclusions on the impact of your models.
- Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders.
- Mentor junior team members
Who we have in mind:
- Graduate in Computer Science or related field, or equivalent practical experience.
- 4+ years of experience in software engineering with 2+ years of direct experience in the machine learning field.
- Proficiency with SQL, Python, Spark, and basic libraries such as Scikit-learn, NumPy, Pandas.
- Familiarity with deep learning frameworks such as TensorFlow or Keras
- Experience with Computer Vision (OpenCV), NLP frameworks (NLTK, SpaCY, BERT).
- Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
- Understand machine learning principles (training, validation, etc.)
- Strong hands-on knowledge of data query and data processing tools (i.e. SQL)
- Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
- Experience deploying highly scalable software supporting millions or more users
- Experience building applications on cloud (AWS or Azure)
- Experience working in scrum teams with Agile tools like JIRA
- Strong oral and written communication skills. Ability to explain complex concepts and technical material to non-technical users
Requirements:
● Strong software engineering background, with good problem solving skills.
● Extremely self-motivated; able to identify opportunities for improvement and tackle
them, without external direction
● Experience with testing automation tools like Selenium/Appium, jUnit etc.
● Experience in testing Web Application and Mobile Web
● Experience in testing Native Mobile Applications(Android/Ios)
● Good working knowledge of scripting languages.
● Experience developing and debugging in Php, Python or Java.
● Basic understanding of linux systems and commands.
● Knowledge of relational databases/SQL
● Strong communication and documentation skills
● BE in Computer Science or equivalent work experience
Pluses:
● Understanding of continuous deployment techniques
Develop complex queries, pipelines and software programs to solve analytics and data mining problems
Interact with other data scientists, product managers, and engineers to understand business problems, technical requirements to deliver predictive and smart data solutions
Prototype new applications or data systems
Lead data investigations to troubleshoot data issues that arise along the data pipelines
Collaborate with different product owners to incorporate data science solutions
Maintain and improve data science platform
Must Have
BS/MS/PhD in Computer Science, Electrical Engineering or related disciplines
Strong fundamentals: data structures, algorithms, database
5+ years of software industry experience with 2+ years in analytics, data mining, and/or data warehouse
Fluency with Python
Experience developing web services using REST approaches.
Proficiency with SQL/Unix/Shell
Experience in DevOps (CI/CD, Docker, Kubernetes)
Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multi-task and manage expectations
Preferred
Industry experience with big data processing technologies such as Spark and Kafka
Experience with machine learning algorithms and/or R a plus
Experience in Java/Scala a plus
Experience with any MPP analytics engines like Vertica
Experience with data integration tools like Pentaho/SAP Analytics Cloud
• Develop and Maintain IAC using Terraform and Ansible
• Draft design documents that translate requirements into code.
• Deal with challenges associated with scale.
• Assume responsibilities from technical design through technical client support.
• Manage expectations with internal stakeholders and context-switch in a fast paced environment.
• Thrive in an environment that uses Elasticsearch extensively.
• Keep abreast of technology and contribute to the engineering strategy.
• Champion best development practices and provide mentorship.
What we’re looking for
• An AWS Certified Engineer with strong skills in
o Terraform
o Ansible
o *nix and shell scripting
• Preferably with experience in:
o Elasticsearch
o Circle CI
o CloudFormation
o Python
o Packer
o Docker
o Prometheus and Grafana
o Challenges of scale
o Production support
• Sharp analytical and problem-solving skills.
• Strong sense of ownership.
• Demonstrable desire to learn and grow.
• Excellent written and oral communication skills.
• Mature collaboration and mentoring abilities.
As a Senior Tech Lead:
You will be part of a thought leadership team that will design and develop the leading cyber security solution that protects digital assets of corporations such as Apple & the US Federal Govt. This solution used by global Fortune 100 corporations will be massively scalable to secure their Global networks
You will bring to the table:
Domain: Networking and Network Security
Primary Skills: Java, Spring & Hibernate
Secondary Skills: Any one of Python / Java Script / Angular JS / Shell / ANTLR / Groovy
Expertise
- Excellent skills & experience in Java, Spring & Hibernate
- Minimum 2 years of Experience in Networking and Network Security domain
- Any Scripting language - Python / Java Script / Angular JS / Shell / ANTLR / Groovy
- Strong object-oriented design skills, data structures, algorithms, and design patterns.
- Tools Pivotal / GitHub / Jenkins
- Good to have Database design and management experience.
What you will do…
- You will be hands on, writing high quality code and ensuring on-time delivery.
- Provide guidance on software design, architecture, and interface choices.
- Design highly scalable, reliable, secure and fault tolerant systems with minimal guidance.
- Mentor engineers on design, coding, and troubleshooting.
- Analyse requirements, problems and solve them with the best solution.
- Create platforms, reusable libraries, and utilities wherever applicable.
- Work in cross-functional team, collaborating with peers during entire SDLC.
- Work as part of a team to solve complex technical problems.
- Support customer queries, escalations, to keep high customer satisfaction.
About Benison
Benison Tech is a niche technology company that has been appointed by Intel, Broadcom, CISCO, Checkpoint, and Marvell to collaboratively spearhead the next generation Network Security, 5G and Wireless technologies. We help our mutual customers get to market faster by applying our core technical brilliance in solving complex engineering problems.
We work with the world leading technology companies in the latest bleeding edge technologies from 5G enablement to real-time ML based network security systems.
Our interview process isn’t easy, but necessary to ensure that we are a fit for each other. You will be working in a dynamic fast paced environment on cutting edge technologies, so roll up your sleeves and get ready for the challenge. We need people who are drawn to technology challenges rather than work in a plush corporate role.
You are a fit for Benison if
- You want to work in the technologies of the future… Network Security, Cloud technologies, 5G and WiFi6.
- You have a deep-rooted desire to learn new technologies.
- You are driven by the passion of solving complex problems.
- You want to work with some of the best minds in the industry
- 5+ years experience
- Previously managed a team
- Built & managed backend systems from scratch previously.
- Lead the core backend engineering team, including mentoring, coaching, architecture, devops, code review and software infrastructure
- Should be more proficient with Django.
- Work with the executive team to shape and execute the product roadmap
- Direct our team environment to achieve sprint deliverables and acceptance criteria
- Design and monitor metrics to assess product and infrastructure performance
- Hire, build and shape the team