Data Science
Machine Learning (ML)
PythonJob Summary
As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base
- Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
- Work with teams of smart collaborators. Be responsible for their appraisals and career development.
- Participate and lead executive presentations with client leadership stakeholders.
- Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
- See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.
Role & Responsibilities
- Serve as expert in Data Science, build framework to develop Production level DS/AI models.
- Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
- Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
- Lead and manage the onsite-offshore relation, at the same time adding value to the client.
- Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
- Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
- Present results, insights, and recommendations to senior management with an emphasis on the business impact.
- Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
- Lead or contribute to org level initiatives to build the Tredence of tomorrow.
Qualification & Experience
- Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
- 6-10+ years of experience in data science, building hands-on ML models
- Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
- Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
- Knowledge of programming languages SQL, Python/ R, Spark.
- Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
- Experience with cloud computing services (AWS, GCP or Azure)
- Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
- Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
- Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
- Knowledge in GPU code optimization, Spark MLlib Optimization.
- Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
- Experience with ML CI/CD pipelines.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Tredence
About
Tredence is an analytics services and solutions company serving some of the leading Fortune 500 clients & successful track record of delivering business impact
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ORGANIZATION
Launched in 2014, Oxit has continually focused on true innovation in IoT services through the creation
of solutions and products for an adaptive global business marketplace. Our diverse list of clienteles,
ranging across a multitude of industries, has grown to recognize and trust Oxit in partnering in all
aspects of Smart Technology capabilities from designing to prototyping, development and carefully
launching their ideas
ROLE
Proficient in connected objects, an IoT embedded engineer develops innovative solutions that help
users to receive, control and manage information.
Conceptualizing, designing, developing, & managing IoT end devices, middleware, interfaces, and
connectivity
RESPONSIBILITIES
PRIMARY RESPONSIBILITIES
● Analyze, discuss and understand user/business requirements
● Translate business requirements to optimizer solutions, system & firmware specifications
● Design & Implement firmware/software as per specifications and conduct unit tests
● Managing & building end devices and middleware (Gateway development)
● Connectivity solutions, protocol implementation, stack development (ex: Lora)
● Perform integration, acceptance tests, troubleshooting, and debugging
● Work in collaboration with other team members, leadership, and other departments towards
solution implementation and delivery
● Adhere to organization/project process standards and guidelines
● Handling internal (team, departments, and leadership) and external (customers & partners)
interactions
● Collaborate with and support Hardware team towards HW design & development
● Collaborate with and support Software team towards backend development, API definition &
interfacing, Mobile, Cloud, & Web application definition
SECONDARY RESPONSIBILITIES
● Researching, creating, and testing IoT solutions
● Designing platform solutions that are cloud-compatible and work with IoT applications
● Providing solutions to issues related to the connection of networks and platforms
● Contribute to improving quality, accelerating development and deployment - process improvement
and tools improvement
● Showcase ability to play different Agile roles and manage small teams
● Supporting management with client interactions and at times leading it
SKILLS
PRIMARY SKILLS
● Hands-on programming experience in C/C++/Python in Embedded/IoT environment
● Good working knowledge of Linux internals & application development
● Good working experience of RTOS & bare metal programming
● Hands-on experience in device driver development
● Hands-on experience with protocol implementation (wired & wireless)
● Experience in executing projects in an Agile/Waterfall model
● Exposure to Gateways, web/cloud computing technologies, APIs, sockets, & related tools
● Exposure to JavaScript, Node.js, and typescript is an added advantage
● Proficient in C, C++, and Python programming, Java script added advantage
● Good understanding of Linux internals, Linux System programming, and application development
on Linux
● Hands-on experience with Container technologies (LXD, Docker and/or Kubernetes)
● Working knowledge and experience implementing FUOTA, Device management
● Working knowledge of Security - Encryption, Decryption, Flash management
● Working knowledge of Web architecture, Interfacing (APIs, MQTT, etc.)
● Hands on experience with Yocto, Ubuntu Core
● Experience with R Pi or similar platforms
● Working Knowledge and experience with LoRaWan on both Gateway and Devices
● Prior experience working on IoT Gateways
SECONDARY SKILLS
● Firm understanding of IoT architecture and principles
● Knowledge of device and data security
● AWS or related cloud architecture, tools & setup, API development
● LoRa stack experience, Network gateway functionality, networking: TCP/IP, DNS, DHCP, HTTP
● ESP32 architecture, Free-RTOS experience
● Work and collaborate well with others
● Strong communication skills
● Strong analytical and problem-solving skills
WORK ENVIRONMENT
● Minimum 3 years of prior experience
with embedded, firmware, & IoT
● Available full time (40 hours a week)
● Remote working infrastructures
● Flexible remote work (work from
anywhere)
● Certain overlap with EST business hours
● Full time (Mon-Fri, 8 hrs/day)
● Agile way of working & mindset
● Team work, frequent interaction &
collaboration with team & leadership
● Collaborations & meetings through
video conferencing
● Friendly & collaborative environment
Manages the overall support team by leading and guiding them to handle support issue resolution within defined timelines to ensure continuous business operations
Key responsibilities
- Defines and owns the end to end production support process for our applications
- Takes accountability for issue resolution within defined SLAs
- Obsesses about system quality and customer experience
- Establishes a culture of doing detailed RCAs to get to the bottom of every issue
- Partners with development teams (internal and external) to prioritize issues
- Partners with infrastructure team for infra planning based on projected production load
- Tracks issues through to closure with development teams and customers Internal Use--Confidential
- Takes actions to prevent issues from recurring
- Earns trust of the users dependent on production support
- Maintains knowledge bases for issue management
- Communicates with organizational leadership on issues, statuses, and performance against KPIs
- Hires and operates a high–performing team
KPIs
- # of reported issues
- # of open issues
- MTTR
- SLA compliance
- % of incident reduction based on permanent fixes/automation/utilities
- Customer satisfaction score
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon