Finance & Account Manager

Job Description

· Design technical specifications for RPA (Uipath) that meets the requirements and handled all the non functional requirements of concurrency, scalability, security requirements, restart and recovery.

· Develops and configures automation processes as per the technical design document to meet the defined requirements. Works on the coding the more complicated automations or reusable components, and delegates and mentors junior developers for the less complex components.

· Develops new processes/tasks/objects using core workflow principles that are efficient, well structured, maintainable and easy to understand.

· Complies with and helps to enforce design and coding standards, policies and procedures.

· Ensures documentation is well maintained.

· Ensures quality of coded components by performing thorough unit testing.

· Works collaboratively with test teams during the Product test and UAT phases to fix assigned bugs with quality.

· Reports status, issues and risks to tech leads on a regular basis

· Improves skills in automation products by completing automation certification.

· Mentors junior developers and performs code reviews for quality control.

Qualifications

Bachelor degree in Engineering / Computer Science

Additional Information

· 5- 8 years of IT experience and having good understanding of programming concepts. Should be from a programming background on any coding language (.Net, Java).

· Working experience in RPA for a minimum of 2 years and having project experience of a minimum 3 RPA implementations.

· Understands development methodology and lifecycle

· Should be trained on RPA tools (Uipath).

· Self-motivated, team player, action and results oriented.

· Well organized, good communication and reporting skills.

Job Description: We are looking for a talented and motivated Go Developer Intern to join our team for a 6-month internship. This is an exciting opportunity to gain hands-on experience in Go development and work on real-world projects.

Key Responsibilities:

• Collaborate with the development team to design and develop Go applications.
• Write clean, efficient, and maintainable code following best practices.
• Assist in the integration of third-party APIs and libraries.
• Participate in code reviews and provide constructive feedback.
• Troubleshoot, debug, and resolve application issues.
• Stay updated with the latest industry trends and technologies in Go development.
• Document code and maintain technical documentation.

Requirements:

• Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or a related field.
• Strong understanding of Go and its standard library.
• Familiarity with RESTful APIs to connect Go applications to back-end services.
• Knowledge of Go concurrency patterns and best practices.
• Experience with version control systems such as Git.
• Strong problem-solving skills and attention to detail.
• Ability to work independently and as part of a team.
• Excellent communication and collaboration skills.

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

PlanetSpark is on a mission to build the next generation of confident speakers and creative writers. We are a global company impacting over 13 countries through live 1:1 personalized classes on Public Speaking and Creative Writing through handpicked top 1% of teachers. Our kids participate in gripping debates, create viral YouTube videos, start their own podcast channels, perform stand-up comedy, write nail-biting mystery stories, and become confident and fearless speakers. PlanetSpark is on its journey to becoming the global leader in the large and untapped communication skills segment. We are Series B funded by some top VCs and are on a 30% month-on-month growth curve. We have our footprint in India, the Middle East, North America, and Australia. Join a passionate team of over 500 young and energetic members and 400+ expert and handpicked teachers on this roller coaster ride to build the most loved brand for kids who will move the world! For more updates, please subscribe to our Instagram handle:

https://www.instagram.com/planetspark/

Roles and Responsibilities:

1. Conduct demo classes as per the PlanetSpark content and methodology

2. Ensure amazing demo experience for the child and parent

3. Conduct regular classes (post enrolment) using in-house curriculum

4. Ensure timely feedback to the child

5. Adhere to the schedule for the demo as well as regular classes

What are the behavioral attributes that we are looking for?

1. Excellent Teaching skills

2. Excellent attention to detail, strong communication skills both written and verbal

3. Ability to build strong relationships with the child/ learner and make the class fun-based learning.

4. Tech savvy

Eligibility Criteria:

1. Excellent Verbal and written communication

2. Willing to work 6 days a week (should be available on Saturdays & Sundays)

3. Willing to invest 3-4 Teaching hours every day

4. At least 1 year of English Teaching experience (Freshers from BA English and MA English are eligible)

5. Should have good Wi-Fi and a Laptop with Webcam

Benefits:

1. Flexible working hours

2. Work from home

3. Exposure to teaching international students

Shifts you can opt for:

- 3pm to 10 pm IST (India kids)

-6pm to 11 pm IST (India kids)

-6pm to 11 pm IST(Europe/UAE kids)

-10 pm to 2 am IST(US/Canada Kids)

-4 am to 8 am IST(US/Canada Kids)

LogiNext is looking for a technically savvy and passionate Senior Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 4 to 7 years of experience in data mining, data modeling, and reporting 3+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experince in team management.

What you need to have:

Experience: 0 to 2 years

Annual CTC: Rupees 2,50,000 to 3,00,000