MSBI Developer

·        Good knowledge of object oriented programming, object modeling, relational databases, Unix/Linux platform

·        Experience of JavaScript is must.

·        Development of new functional business modules

·        High-level user support (technical)

·        Involvement in the Open ERP project.

·        Strong in logical and problem solving skills.

·        Good knowledge of Python and ODOO framework.

·        Development and extension of the Open Object framework and its existing modules.

·        Review existing code adapts it to the new algorithm.

·        Experience in the integration process of Open ERP with third party applications.

·        Should have designed, developed and released at least 5 product/applications of acceptable scale in an end to end manner.

·        Be Strong in development processes and methods (e.g. version control, code review, release management)

·        To execute the functions of requirement gathering, documentation and system design of Pragmatic Tech soft s Open ERP implementation projects undertaken for its clients.

·        The Business Analyst must also ensure correct delivery and training during the handover of the implementations.

·        Requirement Gathering and understanding the customer expectations from a feature and functionality perspective.

·        Analyze the differences between the Requirements and current functionality available.

·        Work with Development team to design solutions to bridge the gap.

·        Preparation of requisite documentation for the same, including timelines and costing.

·        Creation of End user manuals and training videos.

·        Testing of the application to verify the functionality as desired by the customer.

·        Onsite training and implementation of the system at client side.

Experience: 4+ years

Location: Ahmedabad 

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

• 3+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

Good to Have Skills:

• 4+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

It's regarding a permanent opening with Data Semantics

Data Semantics 

We are Product base company and Microsoft Gold Partner

Data Semantics is an award-winning Data Science company with a vision to empower every organization to harness the full potential of its data assets. In order to achieve this, we provide Artificial Intelligence, Big Data and Data Warehousing solutions to enterprises across the globe. Data Semantics was listed as one of the top 20 Analytics companies by Silicon India 2018 & CIO Review India 2014 as one of the Top 20 BI companies.  We are headquartered in Bangalore, India with our offices in 6 global locations including USA United Kingdom, Canada, United Arab Emirates (Dubai Abu Dhabi), and Mumbai. Our mission is to enable our people to learn the art of data management and visualization to help our customers make quick and smart decisions. 

Our Services include: 

Business Intelligence & Visualization

App and Data Modernization

Low Code Application Development

Artificial Intelligence

Internet of Things

Data Warehouse Modernization

Robotic Process Automation

Advanced Analytics

Our Products:

Sirius – World’s most agile conversational AI platform

Serina

Conversational Analytics

Contactless Attendance Management System

Company URL:   https://datasemantics.co 

JD:

MSBI

SSAS

SSRS

SSIS

Datawarehousing

SQL

Key Skill Set 

• 4- 5 years of experience in a role directly responsible for campaign planning, execution, optimization and reporting across multiple digital channels/media.
• Demonstrable experience managing SEM, display, email marketing, SMM campaigns.
• Highly creative with experience in identifying target audiences and devising digital campaigns that engage, inform and motivate.
• Hands on experience of CRO tools such as Salesforce Marketing Cloud, WebEngage, CleverTap, MoEngage etc.
• Working knowledge of CRM tools such as Salesforce, Leadsqaured etc. would be a Plus.
• Understanding of data analysis, trend spotting and technology in Digital space.
• Strong written & verbal communication skills.
• Skilled in problem solving, planning, as well as being able to adapt to new environments.

Key Responsibility Areas:

• Plan and outline cross channel digital marketing and remarketing campaigns, aligned to expected performance and returns.
• Should be updated with the ongoing marketing trends and capable to implement the changes in the system.
• Work on digital marketing platforms to execute campaign in the most efficient manner. Re-marketing campaigns in specific.
• Awareness about various content marketing platforms of the Market Research Industry.
• Experiment, scout and implement new digital marketing channels, tools, best practices to consistently improve ROIs.
• Work closely with the Sales & Product Teams and execute campaigns to meet business objectives.
• Monitor impact of each campaign on key site metrics and report to stakeholders, on a regular basis.